{"id":328,"date":"2026-03-05T19:07:20","date_gmt":"2026-03-05T10:07:20","guid":{"rendered":"https:\/\/air.tsukuba.ac.jp\/?page_id=328"},"modified":"2026-03-05T19:08:04","modified_gmt":"2026-03-05T10:08:04","slug":"test-page","status":"publish","type":"page","link":"https:\/\/air.tsukuba.ac.jp\/en\/test-page\/","title":{"rendered":"test page"},"content":{"rendered":"<p>  <title>\u7814\u7a76\u696d\u7e3e\u4e00\u89a7 (\u8a73\u7d30)<\/title><\/p>\n<style>\n    body { font-family: \"Helvetica Neue\", Arial, \"Hiragino Sans\", sans-serif; margin: 0; padding: 20px; background: #f5f5f5; color: #333; }\n    .container { max-width: 1400px; margin: 0 auto; }\n    h1 { border-bottom: 3px solid #2c3e50; padding-bottom: 10px; }\n    .updated { color: #666; font-size: 0.9em; margin-bottom: 20px; }<\/p>\n<p>    \/* \u30bf\u30d6 *\/\n    .tabs { display: flex; gap: 4px; margin-bottom: 0; }\n    .tab-btn { padding: 10px 24px; background: #bdc3c7; border: none; border-radius: 8px 8px 0 0; cursor: pointer; 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}\n    td.links { white-space: nowrap; text-align: center; width: 90px; }\n    td.researcher-name { white-space: nowrap; font-weight: 500; color: #2c3e50; }\n    a { color: #2980b9; }\n    tr.hidden { display: none; }\n  <\/style>\n<div class=\"container\">\n<h1>\u7814\u7a76\u696d\u7e3e\u4e00\u89a7<\/h1>\n<p class=\"updated\">\u6700\u7d42\u66f4\u65b0: 2026-03-05 15:50<\/p>\n<div class=\"tabs\">\n      <button class=\"tab-btn active\">\u7814\u7a76\u8005\u5225<\/button><br \/>\n      <button class=\"tab-btn\">\u4e00\u89a7\u691c\u7d22<\/button><br \/>\n      <button class=\"tab-btn\">\u8907\u6570\u9078\u629e\u691c\u7d22<\/button>\n    <\/div>\n<p>    <!-- \u30bf\u30d61: \u7814\u7a76\u8005\u5225 --><\/p>\n<div id=\"tab-grouped\" class=\"tab-content active\">\n<div class=\"toc\">\n<h3>\u76ee\u6b21<\/h3>\n<ul>\n<li><a href=\"#researcher_0\">\u798f\u4e95\u548c\u5e83<\/a> (87\u4ef6)<\/li>\n<li><a href=\"#researcher_1\">\u6afb\u4e95\u9244\u4e5f<\/a> (162\u4ef6)<\/li>\n<li><a href=\"#researcher_2\">\u4f0a\u85e4\u8aa0<\/a> (87\u4ef6)<\/li>\n<li><a href=\"#researcher_3\">\u5409\u702c\u7ae0\u5b50<\/a> (31\u4ef6)<\/li>\n<li><a href=\"#researcher_4\">Phung-Duc Tuan<\/a> (17\u4ef6)<\/li>\n<li><a href=\"#researcher_5\">\u4eca\u5009\u6681<\/a> (72\u4ef6)<\/li>\n<\/ul><\/div>\n<section class=\"researcher\" id=\"researcher_0\">\n<h2>\u798f\u4e95\u548c\u5e83<\/h2>\n<p class=\"stats\">\u8ad6\u6587\u6570: 87<\/p>\n<details>\n<summary>\u696d\u7e3e\u4e00\u89a7\u3092\u8868\u793a (87\u4ef6)<\/summary>\n<table>\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Valois, Pedro H. V.; Souza, Lincon S.; Shimomoto, Erica K.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation<\/td>\n<td>TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, Vol.13, pp.1436-1458<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1162\/TACL.a.48\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001606561600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Romanowski, Adrianna; Valois, Pedro H. V.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">From Punchlines to Predictions: A Metric to Assess LLM Performance in Identifying Humor in Stand-Up Comedy<\/td>\n<td>PROCEEDINGS OF THE WORKSHOP ON COGNITIVE MODELING AND COMPUTATIONAL LINGUISTICS, pp.36-46<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001660867600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Mahyub, Maha; Souza, Lincon S.; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Signal latent subspace: Anew representation for environmental sound classification<\/td>\n<td>APPLIED ACOUSTICS, Vol.225<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Signal processing; Environmental sound classification; Product Grassmann manifold; Subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apacoust.2024.110181\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001280974900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Simo-Serra, Edgar; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Controllable multi-domain semantic artwork synthesis<\/td>\n<td>COMPUTATIONAL VISUAL MEDIA, Vol.10, No.2, pp.355-373<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">semantic artwork synthesis; generative adversarial network (GAN); datasets; non-photorealistic rendering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s41095-023-0356-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001135210800002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Valois, Pedro H. V.; Niinuma, Koichiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space<\/td>\n<td>2024 IEEE\/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION, WACV 2024, pp.4817-4826<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/WACV57701.2024.00476\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001222964604093&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Akahori, Shizuka; Iizuka, Satoshi; Mawatari, Ken; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor<\/td>\n<td>IMAGE AND VIDEO TECHNOLOGY, PSIVT 2023, Vol.14403, pp.182-196<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">3D point cloud; Novelty detection; Anomaly detection<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-97-0376-0_14\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001207241200014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Al-Qadasi, Hamzah; Benchadi, Djafer Yahia M.; Chehida, Salim; Fukui, Kazuhiro; Bensalem, Saddek<\/td>\n<td class=\"title\">Neural Network Innovations in Image-Based Malware Classification: A Comparative Study<\/td>\n<td>ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 4, AINA 2024, Vol.202, pp.252-265<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-57916-5_22\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001264790400022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Diffusion-Based Semantic Image Synthesis from Sparse Layouts<\/td>\n<td>ADVANCES IN COMPUTER GRAPHICS, CGI 2023, PT II, Vol.14496, pp.441-454<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Semantic Image Synthesis; Sparse Input; Diffusion Models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-50072-5_35\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001152277800035&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>Beleza, Suzana Rita Alves; Shimomoto, Erica K.; Souza, Lincon S.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Slow feature subspace: A video representation based on slow feature analysis for action recognition<\/td>\n<td>MACHINE LEARNING WITH APPLICATIONS, Vol.14<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Human action recognition; Slow feature analysis; Subspace-based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.mlwa.2023.100493\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001221464500002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>Fukui, Kazuhiro; Sogi, Naoya; Kobayashi, Takumi; Xue, Jing-Hao; Maki, Atsuto<\/td>\n<td class=\"title\">Discriminant Feature Extraction by Generalized Difference Subspace<\/td>\n<td>IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol.45, No.2, pp.1618-1635<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Discriminant analysis; fisher criterion; subspace representation; PCA without data centering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TPAMI.2022.3168557\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000912386000019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>Hao, Guoqing; Iizuka, Satoshi; Hara, Kensho; Simo-Serra, Edgar; Kataoka, Hirokatsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Diffusion-based Holistic Texture Rectification and Synthesis<\/td>\n<td>PROCEEDINGS OF THE SIGGRAPH ASIA 2023 CONFERENCE PAPERS<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Texture rectification; texture synthesis; diffusion models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3610548.3618233\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001278296700087&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>Taniguchi, Ko; Noguchi, Takahiro; Iizuka, Satoshi; Ando, Hiroyasu; Abe, Takashi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation<\/td>\n<td>MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2023 WORKSHOPS, Vol.14394, pp.45-55<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Vigilance Level Estimation; PERCLOS; Eyelid Opening Degree; Dataset Construction; Regression Model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-47425-5_5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001211854500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>Yahia, Djafer; Benchadi, Messaoud; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Malware detection using Kernel Constrained Subspace Method<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10215631\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>Okada, Takuhiro; Huang, Yuantian; Hao, Guoqing; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Low-Level Feature Aggregation Networks for Disease Severity Estimation of Coffee Leaves<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10215626\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>Hiraoka, Yutaro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Deep Randomized Time Warping for Action Recognition<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10216189\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900064&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>Hao, Guoqing; Iizuka, Satoshi; Hara, Kensho; Kataoka, Hirokatsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Natural Image Decay With a Decay Effects Generator<\/td>\n<td>IEEE ACCESS, Vol.11, pp.120402-120418<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Arbitrary-sized image generation; generative adversarial networks; image decay; image editing; image manipulation; image processing; image weathering; texture generation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3328171\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001098714700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>Yahia, M. Benchadi Djafer; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns<\/td>\n<td>IEEE ACCESS, Vol.11, pp.102492-102507<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Malware; malware image; subspace method; kernel subspace method; occlusion sensitivity analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3313409\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001077102200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>18<\/td>\n<td>Uchiyama, Tomoki; Sogi, Naoya; Niinuma, Koichiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Visually explaining 3D-CNN predictions for video classification with an adaptive occlusion sensitivity analysis<\/td>\n<td>2023 IEEE\/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), pp.1513-1522<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/WACV56688.2023.00156\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000971500201059&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>19<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">FREE-VIEW EXPRESSIVE TALKING HEAD VIDEO EDITING<\/td>\n<td>ICASSP 2023 - 2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, ICASSP<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Talking head; video editing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICASSP49357.2023.10095745\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001549214006040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>Batalo, Bojan; Souza, Lincon S.; Gatto, Bernardo B.; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Temporal-stochastic tensor features for action recognition<\/td>\n<td>MACHINE LEARNING WITH APPLICATIONS, Vol.10<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Action recognition; Tensor data classification; Grassmann manifold; Subspace method; n-mode singular value decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.mlwa.2022.100407\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001223227900005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>21<\/td>\n<td>Gatto, Bernardo Bentes; Colonna, Juan Gabriel; dos Santos, Eulanda Miranda; Koerich, Alessandro Lameiras; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Discriminative Singular Spectrum Classifier with applications on bioacoustic signal recognition<\/td>\n<td>DIGITAL SIGNAL PROCESSING, Vol.133<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Bioacoustic signal classification; Singular spectrum analysis; Mutual singular spectrum analysis; Signal subspace methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.dsp.2022.103858\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000901797100009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>22<\/td>\n<td>Souza, Lincon S.; Sogi, Naoya; Gatto, Bernardo B.; Kobayashi, Takumi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Grassmannian learning mutual subspace method for image set recognition<\/td>\n<td>NEUROCOMPUTING, Vol.517, pp.20-33<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Grassmannian learning mutual subspace; method; Learning subspace methods; Subspace learning; Image recognition; Deep neural networks; Manifold optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2022.10.040\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000884436700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>Mahyub, Maha; Souza, Lincon S.; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">ENVIRONMENTAL SOUND CLASSIFICATION BASED ON CNN LATENT SUBSPACES<\/td>\n<td>2022 INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC 2022)<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">environmental sound classification; CNN features; subspace method; product Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IWAENC53105.2022.9914765\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000934046400062&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>Batalo, Bojan; Souza, Lincon S.; Gatto, Bernardo B.; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Analysis of Temporal Tensor Datasets on Product Grassmann Manifold<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, pp.4868-4876<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00534\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861612704099&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>Scott, Atom; Uchida, Ikuma; Onishi, Masaki; Kameda, Yoshinari; Fukui, Kazuhiro; Fujii, Keisuke<\/td>\n<td class=\"title\">SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, pp.3568-3578<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00401\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861612703073&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>26<\/td>\n<td>Gatto, Bernardo B.; Santos, Eulanda M. dos; Molinetti, Marco A. F.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Multilinear clustering via tensor Fukunaga-Koontz transform with Fisher eigenspectrum regularization<\/td>\n<td>APPLIED SOFT COMPUTING, Vol.113<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Subspace method; Tensor analysis; Fukunaga-Koontz transform; n-mode SVD<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.asoc.2021.107899\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000724824100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>27<\/td>\n<td>Sogi, Naoya; Zhu, Rui; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Constrained mutual convex cone method for image set based recognition<\/td>\n<td>PATTERN RECOGNITION, Vol.121<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Image-set based method; Convex cone representation; Multiple angles<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2021.108190\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000697551500010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>28<\/td>\n<td>Shimomoto, Erica K.; Portet, Francois; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Text classification based on the word subspace representation<\/td>\n<td>PATTERN ANALYSIS AND APPLICATIONS, Vol.24, No.3, pp.1075-1093<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Topic classification; Sentiment analysis; Word subspace; Subspace-based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10044-021-00960-6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000628089000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>29<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny V.<\/td>\n<td class=\"title\">Fukunaga-Koontz Convolutional Network with Applications on Character Classification (vol 52, pg 443, 2020)<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.53, No.1, pp.863-863<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-020-10408-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000613033400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>30<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Koerich, Alessandro L.; Fukui, Kazuhiro; Junior, Waldir S. S.<\/td>\n<td class=\"title\">Tensor analysis with n-mode generalized difference subspace<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.171<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Action recognition; Tensor data classification; Generalized difference subspace; n-mode singular value decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2020.114559\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000631642900002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>31<\/td>\n<td>Yamaguchi, Osamu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Image-set based Classification using Multiple Pseudo-whitened Mutual Subspace Method<\/td>\n<td>PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM), pp.296-306<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Image-set based Classification; Whitening Transformation; Multiple Pseudo-Whitened Mutual Subspace Method; Ensemble Method; CNN Features<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0010836500003122\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000819122200032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>Zhu, Rui; Wang, Ziyu; Sogi, Naoya; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data<\/td>\n<td>IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol.31, No.10, pp.3866-3876<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Training; Data models; Support vector machines; Learning systems; Face; Security; Pattern recognition; Classification; convex cone; convex hull; dual analysis; separating hyperplane; subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TNNLS.2019.2946967\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000576436600008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>33<\/td>\n<td>Yang, Wenming; Zhou, Fei; Zhu, Rui; Fukui, Kazuhiro; Wang, Guijin; Xue, Jing-Hao<\/td>\n<td class=\"title\">Deep learning for image super-resolution<\/td>\n<td>NEUROCOMPUTING, Vol.398, pp.291-292<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2019.09.091\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000553601200009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>34<\/td>\n<td>Gatto, Bernardo B.; Souza, Lincon S.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny V.<\/td>\n<td class=\"title\">A semi-supervised convolutional neural network based on subspace representation for image classification<\/td>\n<td>EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, Vol.2020, No.1<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Subspace method; Shallow networks; Semi-supervised learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s13640-020-00507-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000542795300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>35<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny, V<\/td>\n<td class=\"title\">Fukunaga-Koontz Convolutional Network with Applications on Character Classification<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.52, No.1, pp.443-465<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Subspace method; Shallow networks; Fukunaga-Koontz transform<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-020-10244-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000534722900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>36<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition<\/td>\n<td>PATTERN RECOGNITION, Vol.97<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Enhanced GDA; Randomized time warping; Motion recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2019.107028\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000491609400018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>37<\/td>\n<td>Souza, Lincon S.; Sogi, Naoya; Gatto, Bernardo B.; Kobayashi, Takumi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">An Interface between Grassmann manifolds and vector spaces<\/td>\n<td>2020 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), pp.3686-3695<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW50498.2020.00431\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788279003083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>38<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Colonna, Juan G.; Sogi, Naoya; Souza, Lincon S.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Discriminative Singular Spectrum Analysis for bioacoustic classification<\/td>\n<td>INTERSPEECH 2020, pp.2887-2891<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">subspace analysis; Fisher criterion; bioacoustic classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21437\/Interspeech.2020-2134\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000833594103005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>39<\/td>\n<td>Ch'ng, Shin-Fang; Sogi, Naoya; Purkait, Pulak; Chin, Tat-Jun; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), pp.9680-9686<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icra40945.2020.9196902\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000712319506071&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>40<\/td>\n<td>Sogi, Naoya; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Metric Learning with A-based Scalar Product for Image-set Recognition<\/td>\n<td>2020 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), pp.3706-3715<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW50498.2020.00433\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788279003085&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>41<\/td>\n<td>Yokoo, Shuhei; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">MLSNET: RESOURCE-EFFICIENT ADAPTIVE INFERENCE WITH MULTI-LEVEL SEGMENTATION NETWORKS<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), pp.1510-1514<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">semantic segmentation; convolutional network; adaptive inference<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icip.2019.8803093\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521828601128&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>42<\/td>\n<td>Shimomoto, Erica K.; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image<\/td>\n<td>PROCEEDINGS OF MVA 2019 16TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA)<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/mva.2019.8757876\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000484550200004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>43<\/td>\n<td>Sakai, Akinari; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Gait Recognition Based on Constrained Mutual Subspace Method with CNN Features<\/td>\n<td>PROCEEDINGS OF MVA 2019 16TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA)<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/mva.2019.8758035\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000484550200059&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>44<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">CLASSIFICATION OF BIOACOUSTIC SIGNALS WITH TANGENT SINGULAR SPECTRUM ANALYSIS<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.351-355<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Bioacoustic signals; tangent singular spectrum analysis; Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icassp.2019.8682493\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000482554000071&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>45<\/td>\n<td>Wang, Ziyu; Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Cone-based joint sparse modelling for hyperspectral image classification<\/td>\n<td>SIGNAL PROCESSING, Vol.144, pp.417-429<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Hyperspectral image classification; Joint sparse model; Simultaneous orthogonal matching pursuit; Cone; non-negativity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.sigpro.2017.11.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000419412000043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>46<\/td>\n<td>Sogi, Naoya; Nakayama, Taku; Fukui, Kazuhiro<\/td>\n<td class=\"title\">A Method Based on Convex Cone Model for Image-Set Classification with CNN Features<\/td>\n<td>2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Image-set based method; Mutual convex cone method; Convex cone representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000585967401020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>47<\/td>\n<td>Shimomoto, Erica K.; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Text Classification based on Word Subspace with Term-Frequency<\/td>\n<td>2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Text classification; Word subspace; Termfrequency; Subspace based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000585967404050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>48<\/td>\n<td>Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Action Recognition Method Based on Sets of Time Warped ARMA Models<\/td>\n<td>2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp.1773-1778<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000455146801130&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>49<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">GRASSMANN SINGULAR SPECTRUM ANALYSIS FOR BIOACOUSTICS CLASSIFICATION<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.256-260<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Bioacoustic signals; subspace method; Grassmann singular spectrum analysis; Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446384600052&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>50<\/td>\n<td>Suryanto, Chendra Hadi; Saigo, Hiroto; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images<\/td>\n<td>IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Vol.15, No.1, pp.286-299<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Protein visualization; similarity measures; subspace method; canonical angles; Grassmann discriminant analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TCBB.2016.2603987\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000424479500025&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>51<\/td>\n<td>Wang, Ziyu; Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection<\/td>\n<td>IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol.26, No.11, pp.5447-5461<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Target detection; hyperspectral image (HSI); cone representation; non-negativity; half-Gaussian distribution; half-Laplace distribution; shrunken estimation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TIP.2017.2740621\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000408817400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>52<\/td>\n<td>Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data<\/td>\n<td>INFORMATION SCIENCES, Vol.382, pp.1-14<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Discriminatively ordered subspace; Generalised difference subspace; Generating matrix; SIMCA; Spectral data classification; Subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2016.12.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392792600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>53<\/td>\n<td>de Souza, Lincon Sales; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">3D Object Recognition with Enhanced Grassmann Discriminant Analysis<\/td>\n<td>COMPUTER VISION - ACCV 2016 WORKSHOPS, PT III, Vol.10118, pp.345-359<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-54526-4_26\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000426194700026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>54<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace-based Convolutional Network for Handwritten Character Recognition<\/td>\n<td>2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, pp.1044-1049<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICDAR.2017.173\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000464822500163&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>55<\/td>\n<td>de Souza, Lincon Sales; Gatto, Bernardo Bentes; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Enhancing Discriminability of Randomized Time Warping for Motion Recognition<\/td>\n<td>PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017, pp.77-80<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000426950300019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>56<\/td>\n<td>Yataka, Ryoma; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold<\/td>\n<td>ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, pp.208-216<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Three-dimensional Object Recognition; Subspace Representation; Canonical Angles; Grassmann Manifold; Mutual Subspace Method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0006204702080216\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413240500023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>57<\/td>\n<td>Suryanto, Chendra Hadi; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Randomized time warping for motion recognition<\/td>\n<td>IMAGE AND VISION COMPUTING, Vol.54, pp.1-11<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Feature extraction; Dynamic time warping; Subspace method; Hankel matrix; Motion recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.imavis.2016.07.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000387520500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>58<\/td>\n<td>Suryanto, Chendra Hadi; Fukui, Kazuhiro; Hino, Hideitsu<\/td>\n<td class=\"title\">Protein Fold Classification Using Large Margin Combination of Distance Metrics<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E99D, No.3, pp.714-723<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">protein fold classification; distance metrics combination; large margin nearest neighbor; kernel learning; optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1587\/transinf.2015EDP7294\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000375973400018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>59<\/td>\n<td>Tanaka, Shohei; Okazaki, Akio; Kato, Nobuko; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Spotting Fingerspelled Words from Sign Language Video by Temporally Regularized Canonical Component Analysis<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON IDENTITY, SECURITY AND BEHAVIOR ANALYSIS (ISBA)<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000386736600013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>60<\/td>\n<td>Yoshinuma, Takao; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface<\/td>\n<td>IMAGE AND VIDEO TECHNOLOGY, PSIVT 2015, Vol.9431, pp.433-446<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Personal authentication; Facial feature; Shape subspace; Grassmann discriminant analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-29451-3_35\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000374173000035&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>61<\/td>\n<td>Fukui, Kazuhiro; Maki, Atsuto<\/td>\n<td class=\"title\">Difference Subspace and Its Generalization for Subspace-Based Methods<\/td>\n<td>IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol.37, No.11, pp.2164-2177<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Subspace method; mutual subspace method; canonical angles; difference subspace; 3D object recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TPAMI.2015.2408358\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000362411000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>62<\/td>\n<td>Nosaka, Ryusuke; Fukui, Kazuhiro<\/td>\n<td class=\"title\">HEp-2 cell classification using rotation invariant co-occurrence among local binary patterns<\/td>\n<td>PATTERN RECOGNITION, Vol.47, No.7, pp.2428-2436<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Indirect immunofluorescence; HEp-2 cell classification; Local binary pattern; Rotation invariant co-occurrence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2013.09.018\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000334978100014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>63<\/td>\n<td>Yamazaki, Yasuyuki; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Sensing Visual Attention by Sequential Patterns<\/td>\n<td>2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp.483-488<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICPR.2014.92\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000359818000081&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>64<\/td>\n<td>Suryanto, Chendra Hadi; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Combination of Multiple Distance Measures for Protein Fold Classification<\/td>\n<td>2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013), pp.440-445<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">metric learning; large margin nearest neighbor; protein fold classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACPR.2013.139\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000339501000088&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>65<\/td>\n<td>Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Hand-Shape Recognition Using the Distributions of Multi-Viewpoint Image Sets<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E95D, No.6, pp.1619-1627<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">hand-shape recognition; multi-viewpoint; kernel orthogonal mutual subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1587\/transinf.E95.D.1619\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000305203800006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>66<\/td>\n<td>Suryanto, Chendra Hadi; Jiang, Shukun; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Protein structure similarity based on multi-view images generated from 3D molecular visualization<\/td>\n<td>2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), pp.3447-3451<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000343660603127&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>67<\/td>\n<td>Peris, Martin; Maki, Atsuto; Martull, Sara; Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Towards a Simulation Driven Stereo Vision System<\/td>\n<td>2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), pp.1038-1042<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000343660601033&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>68<\/td>\n<td>Suryanto, Chendra Hadi; Saigo, Hiroto; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Protein Clustering on a Grassmann Manifold<\/td>\n<td>PATTERN RECOGNITION IN BIOINFORMATICS, Vol.7632, pp.71-81<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">protein structure clustering; k-means; Mutual Subspace Method; Grassmann manifold; Gauss Integrals<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000334930400007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>69<\/td>\n<td>Akihiro, Naoki; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Compound Mutual Subspace Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method<\/td>\n<td>COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, Vol.6469, pp.374-383<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392225500046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>70<\/td>\n<td>Suter, David; Fukui, Kazuhiro; Tamaki, Toru<\/td>\n<td class=\"title\">Introduction to the Third International Workshop on Subspace Methods<\/td>\n<td>COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, Vol.6469, pp.XX-XX<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392225500008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>71<\/td>\n<td>Nosaka, Ryusuke; Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Feature Extraction Based on Co-occurrence of Adjacent Local Binary Patterns<\/td>\n<td>ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PT II, Vol.7088, pp.82-91<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\">Image feature extraction; local binary pattern (LBP); co-occurrence; face recognition; texture recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000308515500008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>72<\/td>\n<td>Igarashi, Yosuke; Fukui, Kazuhiro<\/td>\n<td class=\"title\">3D Object Recognition Based on Canonical Angles between Shape Subspaces<\/td>\n<td>COMPUTER VISION - ACCV 2010, PT IV, Vol.6495, pp.580-591<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000298617900046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>73<\/td>\n<td>Li, Xi; Fukui, Kazuhiro; Zheng, Nanning<\/td>\n<td class=\"title\">Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles<\/td>\n<td>COMPUTER VISION - ACCV 2009, PT I, Vol.5994, pp.323-+<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000279642500030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>74<\/td>\n<td>Kitamura, Takuya; Takeuchi, Syogo; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace-based support vector machines for pattern classification<\/td>\n<td>NEURAL NETWORKS, Vol.22, No.5-6, pp.558-567<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">Kernel methods; Least squares; Linear programming; Subspace-based methods; Support vector machines<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neunet.2009.06.026\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000269808300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>75<\/td>\n<td>Li, Xi; Fukui, Kazuhiro; Zheng, Nanning<\/td>\n<td class=\"title\">Boosting Constrained Mutual Subspace Method for Robust Image-Set Based Object Recognition<\/td>\n<td>21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, pp.1132-1137<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000283727900179&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>76<\/td>\n<td>Takeuchi, Syogo; Kitamura, Takuya; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace Based Linear Programming Support Vector Machines<\/td>\n<td>IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, pp.1268-+<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280591600185&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>77<\/td>\n<td>Kitamura, Takuya; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace Based Least Squares Support Vector Machines for Pattern Classification<\/td>\n<td>IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, pp.1275-+<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280591600186&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>78<\/td>\n<td>Niigaki, Hitoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Classification of Similar 3D Objects with Different Types of Features from Multi-view Images - An Approach to Classify 100 Apples<\/td>\n<td>ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PROCEEDINGS, Vol.5414, pp.1046-1057<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000263213300091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>79<\/td>\n<td>Li, Xi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">View invariant human action recognition based on factorization and HMMs<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E91D, No.7, pp.1848-1854<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\">action recognition; view invariant; matrix factorization; Hidden Markov Models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/ietisy\/e91-d.7.1848\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000257930400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>80<\/td>\n<td>Wu, Jianing; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Multiple View Based 3D Object Classification Using Ensemble Learning of Local Subspaces<\/td>\n<td>19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, pp.3511-3514<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000264729001379&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>81<\/td>\n<td>Fukui, Kazuhiro; Li, Xi<\/td>\n<td class=\"title\">Human sensing using the mutual subspace method with multi-view images<\/td>\n<td>PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, pp.1975-1979<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">human sensing; face recognition; multi-camera system; mutual subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255608502083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>82<\/td>\n<td>Hirafuji, Masayuki; Yoichi, Hideo; Haoming, Hu; Fukatsu, Tokihiro; Tanaka, Kei; Kiura, Takuji; Fukui, Kazuhiro; Ninomiya, Seishi<\/td>\n<td class=\"title\">Architecture of the advanced field severs6<\/td>\n<td>PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, pp.230-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">sensor network; Wi-Fi; Field Server; Web; monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255608500044&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>83<\/td>\n<td>Fukui, Kazuhiro; Yamaguchi, Osamu<\/td>\n<td class=\"title\">The kernel orthogonal mutual subspace method and its application to 3D object recognition<\/td>\n<td>COMPUTER VISION - ACCV 2007, PT II, PROCEEDINGS, Vol.4844, pp.467-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000252603100046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>84<\/td>\n<td>Fukui, K; Stenger, B; Yamaguchi, O<\/td>\n<td class=\"title\">A framework for 3D object recognition using the kernel constrained mutual subspace method<\/td>\n<td>COMPUTER VISION - ACCV 2006, PT II, Vol.3852, pp.315-324<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000235773200032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>85<\/td>\n<td>Nishiyama, M; Yamaguchi, O; Fukui, K<\/td>\n<td class=\"title\">Face recognition with the multiple constrained mutual subspace method<\/td>\n<td>AUDIO AND VIDEO BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, Vol.3546, pp.71-80<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000231117100008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>86<\/td>\n<td>Yuasa, M; Yamaguchi, O; Fukui, K<\/td>\n<td class=\"title\">Precise pupil contour detection based on minimizing the energy of pattern and edge<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E87D, No.1, pp.105-112<\/td>\n<td class=\"year\">2004<\/td>\n<td class=\"keywords\">pupil contour detection; pattern recognition; edge; detection; energy minimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000188050500015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>87<\/td>\n<td>Yamaguchi, O; Fukui, K; Maeda, K<\/td>\n<td class=\"title\">Face recognition using temporal image sequence<\/td>\n<td>AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS, pp.318-323<\/td>\n<td class=\"year\">1998<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/AFGR.1998.670968\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000073666400051&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/details>\n<\/section>\n<section class=\"researcher\" id=\"researcher_1\">\n<h2>\u6afb\u4e95\u9244\u4e5f<\/h2>\n<p class=\"stats\">\u8ad6\u6587\u6570: 162<\/p>\n<details>\n<summary>\u696d\u7e3e\u4e00\u89a7\u3092\u8868\u793a (162\u4ef6)<\/summary>\n<table>\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Mashiko, Sota; Kawamata, Yuji; Nakayama, Tomoru; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Anomaly detection in double-entry bookkeeping data by federated learning system with non-model sharing approach<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Data collaboration; Federated learning; Anomaly detection; Double-entry bookkeeping; Audit; Accounting information<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-26120-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001626761900017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Wang, Li; Fu, Xiangzheng; Yang, Jiahao; Zhang, Xinyi; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang; Liu, Yiping<\/td>\n<td class=\"title\">MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.26, No.6<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">antimicrobial peptide; deep generative networks; multi-objective trade-off; Transformer; Pareto front<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbaf376\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001609977700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Wang, Li; Fu, Xiangzheng; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang; Liu, Yiping<\/td>\n<td class=\"title\">PKAN: Leveraging Kolmogorov\u2013Arnold Networks and Multi-Modal Learning for Peptide Prediction With Advanced Language Models<\/td>\n<td>IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol.29, No.10, pp.7000-7009<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Peptides; Biological information theory; Amino acids; Training; Predictive models; Splines (mathematics); Chemicals; Bioinformatics; Microwave integrated circuits; Computer science; Kolmogorov-arnold network; multi-modality language learning; peptide prediction; interpretability<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/JBHI.2025.3561846\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001589866000020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Nomura, Toshihisa; Kim, June - Sik; Iwata, Osamu; Yamada, Koji; Atsuji, Kohei; Uehara-Yamaguchi, Yukiko; Yoshida, Takuhiro; Inoue, Komaki; Takahagi, Kotaro; Sakurai, Tetsuya; Shinozaki, Kazuo; Ito, Takuro; Suzuki, Kengo; Goda, Keisuke; Mochida, Keiichi<\/td>\n<td class=\"title\">Genetic dissection of nonconventional introns reveals codominant noncanonical splicing code in Euglena<\/td>\n<td>PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol.122, No.39<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Euglena; nonconventional intron; |genome editing; synthetic intron<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1073\/pnas.2509937122\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001589133900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Long, Changzhou; Huang, Meng; Ye, Xiucai; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Hybrid quantum-classical-quantum convolutional neural networks<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-13417-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001560945300040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Han, Wu; Zhan, Chao<\/td>\n<td class=\"title\">Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction<\/td>\n<td>BMC BIOLOGY, Vol.23, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Peptides; Toxicity; Structure; Protein language model; Equivariant graph neural networks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-025-02329-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001538292800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Estimation of conditional average treatment effects on distributed confidential data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.296<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Statistical causal inference; Conditional average treatment effect; Privacy-preserving; Distributed data; Double machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2025.129066\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001541530000009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>Huang, Meng; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CEGI: Causally Explainable Gene Identification Method for Unveiling Developmental Signatures in Human Prefrontal Cortex<\/td>\n<td>CURRENT BIOINFORMATICS<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Single-cell transcriptomics; development-specific gene signatures; explainable gene identification; causality; association; human prefrontal cortex<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936361195250410044441\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001532115900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>Ye, Xiucai; Shi, Tianyi; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-Omics clustering by integrating clinical features from large language model<\/td>\n<td>METHODS, Vol.239, pp.64-71<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Spectral clustering; Large language model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2025.03.017\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001464548000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>Nakayama, Tomoru; Kawamata, Yuji; Toyoda, Akihiro; Imakura, Akira; Kagawa, Rina; Sanuki, Masaru; Tsunoda, Ryoya; Yamagata, Kunihiro; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Data collaboration for causal inference from limited medical testing and medication data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Propensity score matching; Privacy-preserving causal inference; Data collaboration framework; Distributed data<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-93509-0\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001469449100048&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>Jiao, Shihu; Wang, Yu; Ye, Xiucai; Nagahara, Larry; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Infectious disease; Mobility; LSTM; Attention; Forecasting<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-94089-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001449604200015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>Cui, Yaxuan; Cui, Yang; Ding, Yi; Nakai, Kenta; Wei, Leyi; Le, Yuyin; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">OmniClust: A versatile clustering toolkit for single-cell and spatial transcriptomics data<\/td>\n<td>METHODS, Vol.238, pp.84-94<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">RNA transcriptome sequencing; Deep learning; scRNA-seq; Spatial transcriptomics; Breast cancer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2025.03.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001450647900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>Goto, Masaaki; Futamura, Yasunori; Makishima, Hirokazu; Saito, Takashi; Sakamoto, Noriaki; Iijima, Tatsuo; Tamaki, Yoshio; Okumura, Toshiyuki; Sakurai, Tetsuya; Sakurai, Hideyuki<\/td>\n<td class=\"title\">Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology<\/td>\n<td>JOURNAL OF RADIATION RESEARCH, Vol.66, No.2, pp.144-156<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">radiation therapy; deep learning; digital pathology; cervical cancer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/jrr\/rraf004\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001438584300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Shang, Yifan; Yang, Xiulong; Pan, Wenqiong; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang<\/td>\n<td class=\"title\">MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model<\/td>\n<td>BMC BIOLOGY, Vol.23, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Cyclic peptide; Peptide membrane permeability; Interpretable model; Deep learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-025-02166-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001434471600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Ma, Pengsen; Yu, Zhou; Wang, Jianmin; Liu, Yuansheng; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang<\/td>\n<td class=\"title\">Image-based generation for molecule design with SketchMol<\/td>\n<td>NATURE MACHINE INTELLIGENCE, Vol.7, No.2, pp.244-255<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s42256-025-00982-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001420040800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>Guo, Mengke; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping<\/td>\n<td>METHODS, Vol.233, pp.52-60<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Multi-omics clustering; Contractive autoencoder; Cancer subtyping<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2024.11.013\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001364782000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>Shi, Tianyi; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning<\/td>\n<td>METHODS, Vol.231, pp.144-153<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Interpretable features; SHAP values; Latent subspace learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2024.09.014\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001332909100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>18<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Guo, Xiulan; Li, Yayang; Li, Pengyong; Li, Chunyan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.20, No.1, pp.46-58<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Diffusion model; molecule generation; molecule optimization; autoregressive approach; gaussian noise; encode models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936285493240307071916\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001319446700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>19<\/td>\n<td>Nguyen, Dai Hai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems<\/td>\n<td>MACHINE LEARNING, Vol.113, No.9, pp.6697-6724<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Distributional optimization; Moreau-Yoshida envelopes; Optimal transport<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10994-024-06586-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001268884900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>Xi, Wenyu; Wang, Ruheng; Wang, Li; Ye, Xiucai; Liu, Mingyang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An interpretable deep learning model predicts RNA-small molecule binding sites<\/td>\n<td>FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol.159, pp.557-566<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">RNA-small molecule binding sites prediction; Deep learning; Capsule network; RNA secondary structures<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.future.2024.05.029\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001249465800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>21<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Liu, Ruijun<\/td>\n<td class=\"title\">Integrated convolution and self-attention for improving peptide toxicity prediction<\/td>\n<td>BIOINFORMATICS, Vol.40, No.5<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btae297\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001230745500003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>22<\/td>\n<td>Liu, Tianyuan; Qiao, Huiyuan; Wang, Zixu; Yang, Xinyan; Pan, Xianrun; Yang, Yu; Ye, Xiucai; Sakurai, Tetsuya; Lin, Hao; Zhang, Yang<\/td>\n<td class=\"title\">CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs<\/td>\n<td>ADVANCED SCIENCE, Vol.11, No.22<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">coding lncRNAs; computational biology; computational precision health; data collection; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/advs.202400009\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001199764100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>Lu, Anh Khoa Augustin; Lin, Jianbo; Futamura, Yasunori; Sakurai, Tetsuya; Tamura, Ryo; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Extraction of local structure differences in silica based on unsupervised learning<\/td>\n<td>PHYSICAL CHEMISTRY CHEMICAL PHYSICS, Vol.26, No.15, pp.11657-11666<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1039\/d3cp06298h\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001195066200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>Zhang, Zhao-Yue; Zhang, Zheng; Ye, Xiucai; Sakurai, Tetsuya; Lin, Hao<\/td>\n<td class=\"title\">A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens<\/td>\n<td>INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, Vol.265<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">lncRNA; Subcellular localization; Multi-label classification; BERT<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ijbiomac.2024.130659\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001219333400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network<\/td>\n<td>2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN60899.2024.10650775\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001392668200046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>26<\/td>\n<td>Liu, Tianyuan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Deciphering the Complex Characterization of Coding LncRNA<\/td>\n<td>2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN60899.2024.10650681\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001315691506057&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>27<\/td>\n<td>Cui, Yaxuan; Wei, Leyi; Wang, Ruheng; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.19, No.8, pp.765-776<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Spatial transcriptional expression; self-supervised autoencoder; Fuzzy C-MEANS; Alzheimer's disease; gene ontology enrichment; gene-pathway analyses<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936278884240102094058\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001307809400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>28<\/td>\n<td>Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Toward the Application of Differential Privacy to Data Collaboration<\/td>\n<td>IEEE ACCESS, Vol.12, pp.63292-63301<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Differential privacy; dimension reduction; distributed machine learning; federated learning; principal component analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2024.3396146\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001216586000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>29<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative causal inference on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.244<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Statistical causal inference; Quasi-experiment; Propensity score; Distributed data; Privacy-preserving method; Collaborative data analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.123024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001149999000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>30<\/td>\n<td>He, Shida; Ye, Xiucai; Dou, Lijun; Sakurai, Tetsuya<\/td>\n<td class=\"title\">FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery<\/td>\n<td>COMPUTERS IN BIOLOGY AND MEDICINE, Vol.168<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Computational biology; Graph neural networks; Molecular fingerprints; Attention mechanism<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.107762\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001134101400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>31<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Ao, Chunyan; Sakurai, Tetsuya; Zou, Quan; Xu, Lei<\/td>\n<td class=\"title\">Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites<\/td>\n<td>BIOINFORMATICS, Vol.39, No.11<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btad627\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001096569800010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>Huang, Dong; Ye, Xiucai; Zhang, Ying; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative analysis for drug discovery by federated learning on non-IID data<\/td>\n<td>METHODS, Vol.219, pp.1-7<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Collaborative analysis; Drug discovery; Federated learning; Non-IID dataset; Quantitative structure -activity relationship<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2023.09.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001079244300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>33<\/td>\n<td>Ye, Xiucai; Shang, Yifan; Shi, Tianyi; Zhang, Weihang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-omics clustering for cancer subtyping based on latent subspace learning<\/td>\n<td>COMPUTERS IN BIOLOGY AND MEDICINE, Vol.164<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Latent subspace learning; Incomplete multi-omics<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.107223\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001048303900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>34<\/td>\n<td>Uchitachimoto, Go; Sukegawa, Noriyoshi; Kojima, Masayuki; Kagawa, Rina; Oyama, Takashi; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data collaboration analysis in predicting diabetes from a small amount of health checkup data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.13, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-023-38932-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001067878900039&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>35<\/td>\n<td>Nguyen, Dai Hai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains<\/td>\n<td>MACHINE LEARNING, Vol.112, No.8, pp.2845-2869<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Distributional optimization; Functional gradient descent; Mirror descent<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10994-023-06350-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001021054300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>36<\/td>\n<td>He, Shida; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">MRMD3.0: A Python Tool and Webserver for Dimensionality Reduction and Data Visualization via an Ensemble Strategy<\/td>\n<td>JOURNAL OF MOLECULAR BIOLOGY, Vol.435, No.14<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jmb.2023.168116\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001055302200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>37<\/td>\n<td>Lin, Jianbo; Tamura, Ryo; Futamura, Yasunori; Sakurai, Tetsuya; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces<\/td>\n<td>PHYSICAL CHEMISTRY CHEMICAL PHYSICS, Vol.25, No.27, pp.17978-17986<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1039\/d3cp01922e\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001018523400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>38<\/td>\n<td>Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Another use of SMOTE for interpretable data collaboration analysis<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.228<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Interpretable data collaboration analysis; Anchor data; SMOTE; Privacy-preserving integrated analysis; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.120385\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001001059700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>39<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko; Fujii, Tomoya; Sakamoto, Teppei; Abe, Hiroyuki<\/td>\n<td class=\"title\">Non-readily identifiable data collaboration analysis for multiple datasets including personal information<\/td>\n<td>INFORMATION FUSION, Vol.98<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving analysis; Multi-source data fusion; Data collaboration analysis; Personal information; Identifiability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2023.101826\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001006143900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>40<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex moment-based eigensolver coupled with two Krylov subspaces<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.432<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Block Arnoldi iteration; Generalized eigenvalue problem; Nonlinear eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2023.115283\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000992867500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>41<\/td>\n<td>Kimura, Hironobu; Fukutani, Yuma; Tsuneyoshi, Norihiro; Saito, Kodai; Hayashi, Makoto; Yamazaki, Yosuke; Torisawa, Yusuke; Sakurai, Tetsuya; Watanabe, Sono; Miyata, Kotoko; Sato, Yuka; Goto, Kumiko; Naritomi, Yoichi; Ozaki, Tohru; Yamada, Masashi; Kurachi, Kenji; Hosoya, Tomonori; Takeno, Yuriko; Nishigaki, Fusako; Tamura, Kouichi<\/td>\n<td class=\"title\">HLCN061: An \"Off-the-Shelf\" Gene Engineered Human iPSC-Derived NK Cell Product for the Treatment of Solid Tumors<\/td>\n<td>MOLECULAR THERAPY, Vol.31, No.4, pp.741-741<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001045144203317&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>42<\/td>\n<td>Ao, Chunyan; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Yu, Liang<\/td>\n<td class=\"title\">m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation<\/td>\n<td>BMC BIOLOGY, Vol.21, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">5-Methyluridine; Support vector machines; Multi-view feature; Word2Vec<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-023-01596-0\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000974006900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>43<\/td>\n<td>Chen, Yangyang; Wang, Zixu; Zeng, Xiangxiang; Li, Yayang; Li, Pengyong; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Molecular language models: RNNs or transformer?<\/td>\n<td>BRIEFINGS IN FUNCTIONAL GENOMICS, Vol.22, No.4, pp.392-400<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">molecular; recurrent neural Networks; language model; transformer; drug generation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bfgp\/elad012\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000972693100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>44<\/td>\n<td>Chen, Yangyang; Wang, Zixu; Wang, Lei; Wang, Jianmin; Li, Pengyong; Cao, Dongsheng; Zeng, Xiangxiang; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Deep generative model for drug design from protein target sequence<\/td>\n<td>JOURNAL OF CHEMINFORMATICS, Vol.15, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s13321-023-00702-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000962413800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>45<\/td>\n<td>Ye, Xiucai; Shi, Tianyi; Cui, Yaxuan; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Interactive gene identification for cancer subtyping based on multi-omics clustering<\/td>\n<td>METHODS, Vol.211, pp.61-67<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Interactive genes identification; Cancer subtyping; Multi-omics clustering; Gene co-expression network<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2023.02.005\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000948122100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>46<\/td>\n<td>Matsuda, Momo; Futamura, Yasunori; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data<\/td>\n<td>FRONTIERS OF COMPUTER SCIENCE, Vol.17, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">single-cell RNA-sequencing; feature selection; principal component analysis; highly variable gene detection; background noise; clustering analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11704-022-1172-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000837701000018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>47<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-view Network Embedding with Structure and Semantic Contrastive Learning<\/td>\n<td>2023 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, ICME, pp.870-875<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Multi-view Networks; Network Embedding; Contrastive Learning; Node Classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICME55011.2023.00154\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001062707300141&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>48<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Common and Unique Features Learning in Multi-view Network Embedding<\/td>\n<td>2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN54540.2023.10191682\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001046198705009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>49<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">LSEC: Large-scale spectral ensemble clustering<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.27, No.1, pp.59-77<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Ensemble clustering; spectral clustering; landmark selection; approximate similarity computation; large-scale clustering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-216240\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000925119600004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>50<\/td>\n<td>Zhang, Xin; Wei, Lesong; Ye, Xiucai; Zhang, Kai; Teng, Saisai; Li, Zhongshen; Jin, Junru; Kim, Minjae; Sakurai, Tetsuya; Cui, Lizhen; Manavalan, Balachandran; Wei, Leyi<\/td>\n<td class=\"title\">SiameseCPP: a sequence-based Siamese network to predict cell -penetrating peptides by contrastive learning<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.24, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac545\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000903059700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>51<\/td>\n<td>Imakura, Akira; Tsunoda, Ryoya; Kagawa, Rina; Yamagata, Kunihiro; Sakurai, Tetsuya<\/td>\n<td class=\"title\">DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.137<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving survival analysis; Cox proportional hazards model; Data collaboration framework<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104264\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000897576200006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>52<\/td>\n<td>Zhang, Zhao-Yue; Ning, Lin; Ye, Xiucai; Yang, Yu-He; Futamura, Yasunori; Sakurai, Tetsuya; Lin, Hao<\/td>\n<td class=\"title\">iLoc-miRNA: extracellular\/intracellular miRNA prediction using deep BiLSTM with attention mechanism<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.23, No.5<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">miRNA; subcellular localization; deep bidirectional long short-term memory; multi-head self-attention; web server<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac395\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000850650800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>53<\/td>\n<td>Chang, Yun-Hsuan; Vuong, Cat-Khanh; Ngo, Nhat-Hoang; Yamashita, Toshiharu; Ye, Xiucai; Futamura, Yasunori; Fukushige, Mizuho; Obata-Yasuoka, Mana; Hamada, Hiromi; Osaka, Motoo; Hiramatsu, Yuji; Sakurai, Tetsuya; Ohneda, Osamu<\/td>\n<td class=\"title\">Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b\/HIF1\u03b1 signaling pathway<\/td>\n<td>SCIENTIFIC REPORTS, Vol.12, No.1<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-022-17767-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000837764800021&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>54<\/td>\n<td>Huang, Meng; Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Missing Value Imputation With Low-Rank Matrix Completion in Single-Cell RNA-Seq Data by Considering Cell Heterogeneity<\/td>\n<td>FRONTIERS IN GENETICS, Vol.13<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">single-cell RNA-seq; dropout; imputation; low-rank matrix completion; precision medicine<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3389\/fgene.2022.952649\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000834116600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>55<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Divide-and-conquer based large-scale spectral clustering<\/td>\n<td>NEUROCOMPUTING, Vol.501, pp.664-678<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Spectral clustering; Landmark selection; Approximate similarity computation; Large-scale clustering; Large-scale datasets<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2022.06.006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000822699900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>56<\/td>\n<td>Yamashita, Takumi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A parallel computing method for the higher order tensor renormalization group<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.278<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Tensor network; The higher order tensor renormalization; group; Parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2022.108423\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000809733300005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>57<\/td>\n<td>Huber, Sarah; Futamura, Yasunori; Galgon, Martin; Imakura, Akira; Lang, Bruno; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Flexible subspace iteration with moments for an effective contour integration-based eigensolver<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.29, No.6<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">contour-integral based eigensolver; Sakurai-Sugiura methods; subspace iteration<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2447\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788801800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>58<\/td>\n<td>Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.128<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Reinforcement learning (RL); Active feature selection; Renal cell carcinoma (RCC); Subtypes classification; Precision medicine<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104049\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000780448000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>59<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.23, No.3<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">drug-target interactions prediction; deep learning; multiview network embedding<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac059\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000767438500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>60<\/td>\n<td>Wei, Lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi<\/td>\n<td class=\"title\">ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning<\/td>\n<td>BIOINFORMATICS, Vol.38, No.6, pp.1514-1524<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btac006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000764890000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>61<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank<\/td>\n<td>BIOINFORMATICS, Vol.38, No.7, pp.1964-1971<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btac048\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000756731200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>62<\/td>\n<td>Tamura, Ryo; Matsuda, Momo; Lin, Jianbo; Futamura, Yasunori; Sakurai, Tetsuya; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations<\/td>\n<td>PHYSICAL REVIEW B, Vol.105, No.7<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevB.105.075107\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000752805300002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>63<\/td>\n<td>He, Yifan; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation<\/td>\n<td>PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2022, pp.554-557<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">program synthesis; genetic programming; knowledge; adaptation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3520304.3528891\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001035469400160&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>64<\/td>\n<td>He, Yifan; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives<\/td>\n<td>2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), pp.14-21<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">program synthesis; PushGP; adaptive replacement mutation; subprogram archive<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SSCI51031.2022.10022128\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000971973800003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>65<\/td>\n<td>Yamazoe, Takaya; Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Image Data Recoverability Against Data Collaboration and Its Countermeasure<\/td>\n<td>SCIENCE OF CYBER SECURITY, SCISEC 2022 WORKSHOPS, Vol.1680, pp.3-15<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Privacy; Dimensionality reduction; GAN<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-7769-5_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000917179200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>66<\/td>\n<td>Xue, Yuyang; Ye, Xiucai; Wei, Lesong; Zhang, Xin; Sakurai, Tetsuya; Wei, Leyi<\/td>\n<td class=\"title\">Better Performance with Transformer: CPPFormer in the Precise Prediction of Cell-penetrating Peptides<\/td>\n<td>CURRENT MEDICINAL CHEMISTRY, Vol.29, No.5, pp.881-893<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Cell-penetrating peptides; deep learning; drug penetration; transformer; feature extractor; classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0929867328666210920103140\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000759019400009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>67<\/td>\n<td>Chen, Hongjia; Zhang, Ke; Sakurai, Tetsuya<\/td>\n<td class=\"title\">The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.29, No.2<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">backward error; contour integral method; linearization; polynomial eigenvalue problem; tropical scaling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2413\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000700325300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>68<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Xu, Lei; Lin, Chen<\/td>\n<td class=\"title\">Current status and future prospects of drug-target interaction prediction<\/td>\n<td>BRIEFINGS IN FUNCTIONAL GENOMICS, Vol.20, No.5, pp.312-322<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">drug-target interaction; drug development; drug repurposing; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bfgp\/elab031\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000743509700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>69<\/td>\n<td>Imakura, Akira; Inaba, Hiroaki; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Interpretable collaborative data analysis on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.177<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborat i v e data analysis; Distributed data; Interpretability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2021.114891\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000663298900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>70<\/td>\n<td>Wei, Lesong; Ye, Xiucai; Xue, Yuyang; Sakurai, Tetsuya; Wei, Leyi<\/td>\n<td class=\"title\">ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.22, No.5<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbab041\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000709461800078&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>71<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">Application of learning to rank in bioinformatics tasks<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.22, No.5<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">LTR; bioinformatics; multiple research tasks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbaa394\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000709461800011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>72<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Novelty Detection for Distributed Data by a Probabilistic Method<\/td>\n<td>ASIAN CONFERENCE ON MACHINE LEARNING, VOL 157, Vol.157, pp.932-947<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Novelty detection; Distributed data; Collaborative data analysis framework; Intermediate representation; Collaborative kernel<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001230093100061&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>73<\/td>\n<td>Kobayashi, Yuta; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Dynamic Adaptation of Decomposition Vector Set Size for MOEA\/D<\/td>\n<td>PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2021 COMPANION, pp.181-182<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">MOEA\/D; Auto Adaptation; Weight Vectors; Multi Objective Optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3449726.3459453\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001556500100091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>74<\/td>\n<td>Futamura, Yasunori; Wakaki, Ryota; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Graph Partitioning Using Geodesic Distance-based Projection<\/td>\n<td>2021 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC)<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">graph partitioning; spectral method; shared-memory parallel algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/HPEC49654.2021.9622831\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000766311400049&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>75<\/td>\n<td>Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Clustering Joint Deep Embedding Learning by Autoencoder<\/td>\n<td>2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN52387.2021.9533825\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000722581704031&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>76<\/td>\n<td>Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.16, No.4, pp.505-511<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Batch effects; spectral clustering; scaling adjustment; dimensionality reduction; microarray; single-cell RNA-seq<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/1574893615999200818093540\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000669437400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>77<\/td>\n<td>Baek, Suhyeon; Imakura, Akira; Sakurai, Tetsuya; Kataoka, Ichiro<\/td>\n<td class=\"title\">Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.1-13<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Deep neural networks; High performance; Nonlinear semi-nonnegative matrix factorization; Backpropagation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>78<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.14-29<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborative data analysis; Distributed data; Classification; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>79<\/td>\n<td>Bogdanova, Anna; Attoh-Okine, Nii; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Risk and Advantages of Federated Learning for Health Care Data Collaboration<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.3<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001078\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000618621100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>80<\/td>\n<td>Ye, Xiucai; Zhang, Weihang; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning<\/td>\n<td>CELLS, Vol.9, No.9<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">single-cell RNA-seq; machine learning; interactive gene groups; co-expression networks; subgraph learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/cells9091938\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000586092200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>81<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An oversampling framework for imbalanced classification based on Laplacian eigenmaps<\/td>\n<td>NEUROCOMPUTING, Vol.399, pp.107-116<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Imbalanced data; Oversampling; SMOTE; Laplacian eigenmaps<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2020.02.081\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000536805700010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>82<\/td>\n<td>Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Anomaly Detection in Large Graphs Using a Complex Moment-Based Eigenvalue Solver<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001054\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>83<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Data collaboration analysis; Distributed data sets; Intermediate representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001058\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>84<\/td>\n<td>Pereira, Jair, Jr.; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design<\/td>\n<td>2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">automatic algorithm generation; training scheduling; meta-heuristic; hyper-heuristic; grammatical evolution<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000703998202064&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>85<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning<\/td>\n<td>PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING IN ASIA-PACIFIC REGION (HPC ASIA 2021), pp.90-99<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">sparse generalized eigenvalue problem; contour integral-based solver; block Krylov subspace method; shift-invert preconditioning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3432261.3432269\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000682970300010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>86<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace<\/td>\n<td>PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING IN ASIA-PACIFIC REGION (HPC ASIA 2021), pp.83-89<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">dimensionality reduction; complex moment-based method; parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3432261.3432267\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000682970300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>87<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Hubness-based Sampling Method for Nystrom Spectral Clustering<\/td>\n<td>2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Spectral clustering; Sampling methods; Nystrom method; Hubness score<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000626021403124&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>88<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Ensemble Learning for Spectral Clustering<\/td>\n<td>20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020), pp.1094-1099<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Ensemble clustering; Spectral clustering; Graph Laplacian<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICDM50108.2020.00131\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000630177700121&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>89<\/td>\n<td>Matsuda, Momo; Morikuni, Keiichi; Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multiclass spectral feature scaling method for dimensionality reduction<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.24, No.6, pp.1273-1287<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Dimensionality reduction; spectral clustering; feature scaling; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-194942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000603258100004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>90<\/td>\n<td>Ye, Xiucai; Zhang, Weihang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer<\/td>\n<td>IEEE ACCESS, Vol.8, pp.154354-154362<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Unsupervised feature selection; non-small-cell lung cancer; subtype classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2020.3018480\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000566098800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>91<\/td>\n<td>Chen, Hongjia; Meng, Jie; Sakurai, Tetsuya; Wang, Xiang<\/td>\n<td class=\"title\">Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.26, No.4<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">backward error; growth factor; heavily damped QEP; linearizations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2253\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000474224800011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>92<\/td>\n<td>Alvermann, Andreas; Basermann, Achim; Bungartz, Hans-Joachim; Carbogno, Christian; Ernst, Dominik; Fehske, Holger; Futamura, Yasunori; Galgon, Martin; Hager, Georg; Huber, Sarah; Huckle, Thomas; Ida, Akihiro; Imakura, Akira; Kawai, Masatoshi; Koecher, Simone; Kreutzer, Moritz; Kus, Pavel; Lang, Bruno; Lederer, Hermann; Manin, Valeriy; Marek, Andreas; Nakajima, Kengo; Nemec, Lydia; Reuter, Karsten; Rippl, Michael; Roehrig-Zoellner, Melven; Sakurai, Tetsuya; Scheffler, Matthias; Scheurer, Christoph; Shahzad, Faisal; Brambila, Danilo Simoes; Thies, Jonas; Wellein, Gerhard<\/td>\n<td class=\"title\">Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.699-717<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">ELPA-AEO; ESSEX; Eigensolver; Parallel; Mixed precision<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00360-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>93<\/td>\n<td>Sakurai, Tetsuya; Imamura, Toshiyuki; Nakajima, Kengo<\/td>\n<td class=\"title\">International workshop on eigenvalue problems: algorithms; software and applications, in petascale computing (EPASA2018)<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.561-562<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00367-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>94<\/td>\n<td>Du, Lei; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Simultaneous band reduction of two symmetric matrices<\/td>\n<td>COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS, Vol.77, No.8, pp.2207-2220<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Simultaneous band reduction; Dense symmetric matrices; Matrix pencil; WY representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2018.12.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000463303000012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>95<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Distributed Collaborative Feature Selection Based on Intermediate Representation<\/td>\n<td>PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.4142-4149<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000761735104041&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>96<\/td>\n<td>Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction<\/td>\n<td>THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE \/ THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE \/ NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, pp.3910-3918<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000485292603114&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>97<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei<\/td>\n<td class=\"title\">Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer<\/td>\n<td>INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, Vol.16, No.7, pp.949-959<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">secondary cancer; risk factors; class imbalance; patient heterogeneity; spectral clustering; ensemble learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7150\/ijms.33820\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000476634100005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>98<\/td>\n<td>Imakura, Akira; Inoue, Yuto; Sakurai, Tetsuya; Futamura, Yasunori<\/td>\n<td class=\"title\">Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.47, No.3, pp.815-827<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Deep neural networks; Nonlinear semi-nonnegative matrix factorizations; Parallel implementation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-017-9642-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000434268000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>99<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Tsukamoto, Shigeru; Ono, Tomoya<\/td>\n<td class=\"title\">Contour integral method for obtaining the self-energy matrices of electrodes in electron transport calculations<\/td>\n<td>PHYSICAL REVIEW B, Vol.97, No.19<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevB.97.195449\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000433287800012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>100<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure<\/td>\n<td>PARALLEL COMPUTING, Vol.74, pp.34-48<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Nonlinear eigenvalue problem; Complex moment-based eigensolver; Block communication-avoiding Arnoldi; Block Krylov subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.parco.2017.11.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000428486900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>101<\/td>\n<td>Matsuda, Momo; Morikuni, Keiichi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Feature Scaling Method for Supervised Dimensionality Reduction<\/td>\n<td>PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.2560-2566<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000764175402098&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>102<\/td>\n<td>Lavinas, Yuri; Aranha, Claus; Sakurai, Tetsuya; Ladeira, Marcelo<\/td>\n<td class=\"title\">Experimental Analysis of the Tournament Size on Genetic Algorithms<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3647-3653<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00617\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884803112&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>103<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Liu, Zhi<\/td>\n<td class=\"title\">Large Scale Spectral Clustering Using Sparse Representation Based on Hubness<\/td>\n<td>2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE &amp; COMPUTING, ADVANCED &amp; TRUSTED COMPUTING, SCALABLE COMPUTING &amp; COMMUNICATIONS, CLOUD &amp; BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD\/SCALCOM\/UIC\/ATC\/CBDCOM\/IOP\/SCI), pp.1731-1737<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">large scale; spectral clustering; sparse presentation; hubness<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SmartWorld.2018.00293\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458742900257&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>104<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.61-64<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">tensor renormalization group (TRG); randomized singular value decomposition; cutoff<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.61\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>105<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.77-80<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">generalized eigenvalue problem; dense matrix; contour integral method; block Krylov subspace method; distributed computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.77\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>106<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Imamura, Toshiyuki; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Optimization of reordering procedures in HOTRG for distributed parallel computing<\/td>\n<td>2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018), pp.957-966<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Tensor network; Higher-order tensor renormalization group (HOTRG); Optimization for reordering procedures; 3D classical cubic lattice Ising model; Distributed parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IPDPSW.2018.00150\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000541051600108&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>107<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning<\/td>\n<td>JOURNAL OF UNIVERSAL COMPUTER SCIENCE, Vol.24, No.6, pp.725-741<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">unsupervised feature selection; structure learning; local regression; discriminant analysis; gene selection; microarray gene expression data.<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000440319400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>108<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral clustering with adaptive similarity measure in Kernel space<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.22, No.4, pp.751-765<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Spectral clustering; Kernel space; similarity measure; adaptive neighbors; local structure<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-173436\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000437253200005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>109<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems<\/td>\n<td>PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I, Vol.10777, pp.600-611<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Block SS-Hankel method; Structure-preserving; Hermitian generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-78024-5_52\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458563300052&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>110<\/td>\n<td>Nakata, Ayako; Futamura, Yasunori; Sakurai, Tetsuya; Bowler, David R.; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Efficient Calculation of Electronic Structure Using O(N) Density Functional Theory<\/td>\n<td>JOURNAL OF CHEMICAL THEORY AND COMPUTATION, Vol.13, No.9, pp.4146-4153<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1021\/acs.jctc.7b00385\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000410867500018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>111<\/td>\n<td>Chen, Hongjia; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Improving backward stability of Sakurai-Sugiura method with balancing technique in polynomial eigenvalue problem<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.357-375<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0016-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>112<\/td>\n<td>Futamura, Yasunori; Yano, Takahiro; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A real-valued block conjugate gradient type method for solving complex symmetric linear systems with multiple right-hand sides<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.333-355<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0023-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>113<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.75, No.2, pp.413-433<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Generalized eigenvalue problem; Block Krylov subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-016-0241-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402080400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>114<\/td>\n<td>Xiao, Jinyou; Zhang, Chuanzeng; Huang, Tsung-Ming; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Solving large-scale nonlinear eigenvalue problems by rational interpolation and resolvent sampling based Rayleigh-Ritz method<\/td>\n<td>INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, Vol.110, No.8, pp.776-800<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">eigenvalue problems; nonlinear solvers; Rayleigh-Ritz procedure; finite element methods; boundary element methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nme.5441\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000399703600004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>115<\/td>\n<td>Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Reduced-Shifted Conjugate-Gradient Method for a Green's Function: Efficient Numerical Approach in a Nano-Structured Superconductor<\/td>\n<td>JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Vol.86, No.1<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSJ.86.014708\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000391858100026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>116<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Ono, Tomoya<\/td>\n<td class=\"title\">Efficient and Scalable Calculation of Complex Band Structure using Sakurai-Sugiura Method<\/td>\n<td>SC'17: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex band structure; Sakurai-Sugiura method; Oakforest-PACS; Quadratic eigenvalue problem; Density functional theory; Carbon nanotube<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3126908.3126942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458161700040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>117<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An Error Resilience Strategy of a Complex Moment-Based Eigensolver<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.1-18<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>118<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Memory-Saving Technique for the Sakurai-Sugiura Eigenvalue Solver Using the Shifted Block Conjugate Gradient Method<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.187-203<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_13\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>119<\/td>\n<td>Suno, Hiroya; Nakamura, Yoshifumi; Ishikawa, Ken-Ichi; Kuramashi, Yoshinobu; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Eigenspectrum Calculation of the <i>O<\/i>(<i>a<\/i>)-Improved Wilson-Dirac Operator in Lattice QCD Using the Sakurai-Sugiura Method<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.81-90<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>120<\/td>\n<td>Maeda, Yasuyuki; Sakurai, Tetsuya; Charles, James; Povolotskyi, Michael; Klimeck, Gerhard; Roman, Jose E.<\/td>\n<td class=\"title\">Numerical Integral Eigensolver for a Ring Region on the Complex Plane<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.19-30<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>121<\/td>\n<td>Chen, Hongjia; Maeda, Yasuyuki; Imakura, Akira; Sakurai, Tetsuya; Tisseur, Francoise<\/td>\n<td class=\"title\">Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.9, pp.17-20<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">SS-RR method; quadratic eigenvalue problem; backward error<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.9.17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000429566000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>122<\/td>\n<td>Ide, Takanori; Inoue, Yuto; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Highly Parallel Computation of Generalized Eigenvalue Problem in Vibration for Automatic Transmission of Vehicles Using the Sakurai-Sugiura Method and Supercomputers<\/td>\n<td>MATHEMATICAL ANALYSIS OF CONTINUUM MECHANICS AND INDUSTRIAL APPLICATIONS, Vol.26, pp.207-218<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-10-2633-1_16\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000398840400016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>123<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Relationships among contour integral-based methods for solving generalized eigenvalue problems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.33, No.3, pp.721-750<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral-based eigensolvers; Projection methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-016-0224-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389894100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>124<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors<\/td>\n<td>ETRI JOURNAL, Vol.38, No.3, pp.540-550<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Spectral clustering; data analysis; similarity measure; shared nearest neighbors; directed kNN graph<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4218\/etrij.16.0115.0517\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000377082900015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>125<\/td>\n<td>Shimizu, Noritaka; Utsuno, Yutaka; Futamura, Yasunori; Sakurai, Tetsuya; Mizusaki, Takahiro; Otsuka, Takaharu<\/td>\n<td class=\"title\">Stochastic estimation of nuclear level density in the nuclear shell model: An application to parity-dependent level density in <SUP>58<\/SUP>Ni<\/td>\n<td>PHYSICS LETTERS B, Vol.753, pp.13-17<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Nuclear level density; Nuclear shell model; Conjugate gradient method; Parity dependence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.physletb.2015.12.005\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368783600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>126<\/td>\n<td>Sakurai, Tetsuya; Imakura, Akira; Inoue, Yuto; Futamura, Yasunori<\/td>\n<td class=\"title\">Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks<\/td>\n<td>NEURAL INFORMATION PROCESSING, ICONIP 2016, PT IV, Vol.9950, pp.354-362<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Nonnegative matrix factorizations; Alternating optimization method; Deep neural networks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-46681-1_43\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389804700043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>127<\/td>\n<td>Shimizu, Noritaka; Utsuno, Yutaka; Futamura, Yasunori; Sakurai, Tetsuya; Mizusaki, Takahiro; Otsuka, Takaharu<\/td>\n<td class=\"title\">Stochastic estimation of level density in nuclear shell-model calculations<\/td>\n<td>CNR*15 - 5TH INTERNATIONAL WORKSHOP ON COMPOUND-NUCLEAR REACTIONS AND RELATED TOPICS, Vol.122<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1051\/epjconf\/201612202003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389877200016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>128<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.71, No.1, pp.103-120<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Error bounds; Contour integral-based eigensolver; Rayleigh-Ritz procedure; Generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-015-9987-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000369063900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>129<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors<\/td>\n<td>2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000370730601066&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>130<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems<\/td>\n<td>APPLIED MATHEMATICS LETTERS, Vol.32, pp.22-27<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral spectral projection; Krylov subspace; Block Arnoldi method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aml.2014.02.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000335102000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>131<\/td>\n<td>Du, Lei; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block conjugate gradient type methods for the approximation of bilinear form <i>C<SUP>H<\/SUP>A<\/i><SUP>-1<\/SUP><i>B<\/i><\/td>\n<td>COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS, Vol.66, No.12, pp.2446-2455<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Block bilinear form; Block conjugate gradient (CG); Block BiCG; Krylov subspace methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2013.09.023\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000328311500003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>132<\/td>\n<td>Sakurai, Tetsuya; Futamura, Yasunori; Tadano, Hiroto<\/td>\n<td class=\"title\">Efficient Parameter Estimation and Implementation of a Contour Integral-Based Eigensolver<\/td>\n<td>JOURNAL OF ALGORITHMS &amp; COMPUTATIONAL TECHNOLOGY, Vol.7, No.3, pp.249-269<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1260\/1748-3018.7.3.249\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000434722500002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>133<\/td>\n<td>Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Ota, Yukihiro; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Numerical Construction of a Low-Energy Effective Hamiltonian in a Self-Consistent Bogoliubov-de Gennes Approach of Superconductivity<\/td>\n<td>JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Vol.82, No.9<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">superconductivity; Bogoliubov-de Gennes equations; eigenvalue solver<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSJ.82.094701\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000323819500025&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>134<\/td>\n<td>Yamazaki, Ichitaro; Tadano, Hiroto; Sakurai, Tetsuya; Ikegami, Tsutomu<\/td>\n<td class=\"title\">Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method<\/td>\n<td>PARALLEL COMPUTING, Vol.39, No.6-7, pp.280-290<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">Parallel eigensolvers; Cauchy integral; Thick restart Lanczos; Accelerator cavity modeling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.parco.2012.04.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000320680300004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>135<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-GPU scalable implementation of a contour-integral-based eigensolver for real symmetric dense generalized eigenvalue problems<\/td>\n<td>2013 EIGHTH INTERNATIONAL CONFERENCE ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC 2013), pp.121-127<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/3PGCIC.2013.24\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000329179100017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>136<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya; Furuya, Shinnosuke; Iwata, Jun-Ichi<\/td>\n<td class=\"title\">Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations<\/td>\n<td>HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2012, Vol.7851, pp.226-235<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000342997100023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>137<\/td>\n<td>Nakamura, Y.; Ishikawa, K. -I.; Kuramashi, Y.; Sakurai, T.; Tadano, H.<\/td>\n<td class=\"title\">Modified block BiCGSTAB for lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.183, No.1, pp.34-37<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace; Domain decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2011.08.010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000297494600007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>138<\/td>\n<td>Mizusaki, Takahiro; Kaneko, Kazunari; Honma, Michio; Sakurai, Tetsuya<\/td>\n<td class=\"title\">FILTER DIAGONALIZATION: A NEW METHOD FOR LARGE-SCALE SHELL-MODEL CALCULATIONS<\/td>\n<td>ACTA PHYSICA POLONICA B, Vol.42, No.3-4, pp.447-450<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5506\/APhysPolB.42.447\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000289009300008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>139<\/td>\n<td>Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Yagi, Toru; Ishimoto, Takayoshi; Ikegami, Tsutomu; Tadano, Hiroto; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">Parallel Fock Matrix Construction with Distributed Shared Memory Model for the FMO-MO Method<\/td>\n<td>JOURNAL OF COMPUTATIONAL CHEMISTRY, Vol.31, No.13, pp.2381-2388<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">parallel Fock matrix construction; FMO-MO method; distributed shared memory; large MO calculation; Sakurai Sugiura method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/jcc.21531\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280890700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>140<\/td>\n<td>Mizusaki, Takahiro; Kaneko, Kazunari; Honma, Michio; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Filter diagonalization of shell-model calculations<\/td>\n<td>PHYSICAL REVIEW C, Vol.82, No.2<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevC.82.024310\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280817700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>141<\/td>\n<td>Asakura, Junko; Sakurai, Tetsuya; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji<\/td>\n<td class=\"title\">A numerical method for polynomial eigenvalue problems using contour integral<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.27, No.1, pp.73-90<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Polynomial eigenvalue problem; Matrix polynomial; Contour integral; Projection method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-010-0005-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280559600006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>142<\/td>\n<td>Senzaki, Kenta; Tadano, Hiroto; Sakurai, Tetsuya; Bai, Zhaojun<\/td>\n<td class=\"title\">A METHOD FOR PROFILING THE DISTRIBUTION OF EIGENVALUES USING THE AS METHOD<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.839-853<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Eigenvalue distribution; Profiling eigenvalues; Algebraic sub-structuring; CIRR<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405870\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>143<\/td>\n<td>Sakurai, Tetsuya; Tadano, Hiroto; Ikegami, Tsutomu; Nagashima, Umpei<\/td>\n<td class=\"title\">A PARALLEL EIGENSOLVER USING CONTOUR INTEGRATION FOR GENERALIZED EIGENVALUE PROBLEMS IN MOLECULAR SIMULATION<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.855-867<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Interior eigenvalue problems; Contour integration; Rayleigh-Ritz procedure; Biochemistry application<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405871\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>144<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CONTOUR INTEGRAL EIGENSOLVER FOR NON-HERMITIAN SYSTEMS: A RAYLEIGH-RITZ-TYPE APPROACH<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.825-837<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Contour integral eigensolver; Spectral projection; Filter diagonalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405869\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>145<\/td>\n<td>Schmutz, Jeremy; Cannon, Steven B.; Schlueter, Jessica; Ma, Jianxin; Mitros, Therese; Nelson, William; Hyten, David L.; Song, Qijian; Thelen, Jay J.; Cheng, Jianlin; Xu, Dong; Hellsten, Uffe; May, Gregory D.; Yu, Yeisoo; Sakurai, Tetsuya; Umezawa, Taishi; Bhattacharyya, Madan K.; Sandhu, Devinder; Valliyodan, Babu; Lindquist, Erika; Peto, Myron; Grant, David; Shu, Shengqiang; Goodstein, David; Barry, Kerrie; Futrell-Griggs, Montona; Abernathy, Brian; Du, Jianchang; Tian, Zhixi; Zhu, Liucun; Gill, Navdeep; Joshi, Trupti; Libault, Marc; Sethuraman, Anand; Zhang, Xue-Cheng; Shinozaki, Kazuo; Nguyen, Henry T.; Wing, Rod A.; Cregan, Perry; Specht, James; Grimwood, Jane; Rokhsar, Dan; Stacey, Gary; Shoemaker, Randy C.; Jackson, Scott A.<\/td>\n<td class=\"title\">Genome sequence of the palaeopolyploid soybean (vol 463, pg 178, 2010)<\/td>\n<td>NATURE, Vol.465, No.7294, pp.120-120<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/nature08957\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000277311900043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>146<\/td>\n<td>Tadano, H.; Kuramashi, Y.; Sakurai, T.<\/td>\n<td class=\"title\">Application of preconditioned block BiCGGR to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.181, No.5, pp.883-886<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace; Preconditioning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2009.12.025\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000276430000008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>147<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.233, No.8, pp.1927-1936<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Spectral projection; Filter diagonalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2009.09.029\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273250300020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>148<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya; Tadano, Hiroto<\/td>\n<td class=\"title\">Parallel Eigensolver for Large Scale Non-linear Systems<\/td>\n<td>NUMERICAL ANALYSIS AND APPLIED MATHEMATICS, VOLS I-III, Vol.1281, pp.941-+<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">eigenproblem; non-linear; numerical method; contour integral<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1063\/1.3498649\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000289661500250&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>149<\/td>\n<td>Sakurai, T.; Tadano, H.; Kuramashi, Y.<\/td>\n<td class=\"title\">Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.181, No.1, pp.113-117<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2009.09.006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273168600015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>150<\/td>\n<td>Sakurai, Tetsuya; Asakura, Junko; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji<\/td>\n<td class=\"title\">A Method for Finding Zeros of Polynomial Equations using a Contour Integral Based Eigensolver<\/td>\n<td>SNC'09: PROCEEDINGS OF THE 2009 INTERNATIONAL WORKSHOP ON SYMBOLIC-NUMERIC COMPUTATION, pp.143-147<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">Nonlinear eigenvalue problems; Contour integral; Dixon resultant; Hankel matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273427300021&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>151<\/td>\n<td>Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Takahashi, Daisuke; Sato, Mitsuhisa; Nagashima, Umpei<\/td>\n<td class=\"title\">A parallel method for large sparse generalized eigenvalue problems using a GridRPC system<\/td>\n<td>FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol.24, No.6, pp.613-619<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\">generalized eigenvalue problems; GridRPC; master-worker type method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.future.2008.01.002\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255841300013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>152<\/td>\n<td>Tadano, Hiroto; Sakurai, Tetsuya<\/td>\n<td class=\"title\">On single precision preconditioners for Krylov subspace iterative methods<\/td>\n<td>LARGE-SCALE SCIENTIFIC COMPUTING, Vol.4818, pp.721-+<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-540-78827-0_83\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000254817600083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>153<\/td>\n<td>Watanabe, Toshio; Inadomi, Yuichi; Ishimoto, Takayoshi; Umeda, Hiroaki; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">Molecular Orbital Calculation for Large Molecule<\/td>\n<td>JOURNAL OF COMPUTER CHEMISTRY-JAPAN, Vol.6, No.3, pp.217-225<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">Fragment Molecular Orbital method; Large scale molecule; Parallel processing; Lysozyme; Model DNA<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2477\/jccj.6.217\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000436750100007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>154<\/td>\n<td>Nagashima, Umpei; Watanabe, Toshio; Inadomi, Yuichi; Umeda, Hiroaki; Ishimoto, Takayoshi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Molecular orbital of fragment molecular orbital method with Sakurai-Sugiura method on grid computing environment<\/td>\n<td>ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, Vol.233, pp.21-21<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000207722802019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>155<\/td>\n<td>Niu, Xiao-Ming; Sakurai, Tetsuya; Sugiura, Hiroshi<\/td>\n<td class=\"title\">A verified method for bounding clusters of zeros of analytic functions<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.199, No.2, pp.263-270<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">verified method; cluster of zeros; interval arithmetic; analytic functions; Rouche's theorem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2005.08.038\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000243812400011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>156<\/td>\n<td>Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Nagashima, Umpei<\/td>\n<td class=\"title\">A master-worker type eigensolver for molecular orbital computations<\/td>\n<td>APPLIED PARALLEL COMPUTING, Vol.4699, pp.617-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000250904900074&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>157<\/td>\n<td>Kishimoto, Sadaya; Murakata, Mamoru; Nakanishi, Takafumi; Sakurai, Tetsuya; Kitagawa, Takashi<\/td>\n<td class=\"title\">Problem-solving support system for mathematical sciences<\/td>\n<td>2007 IEEE INTERNATIONAL WORKSHOP ON DATABASES FOR NEXT GENERATION RESEARCHERS, pp.79-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SWOD.2007.353202\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000248568300014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>158<\/td>\n<td>Kishimoto, Sadaya; Nakanishi, Takafumi; Murakata, Mamoru; Otsuka, Toru; Sakurai, Tetsuya; Kitagawa, Takashi<\/td>\n<td class=\"title\">An implementation method of an integrated associative search for mathematical expressions<\/td>\n<td>PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON DATABASES AND APPLICATIONS, pp.160-+<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">mathematical expression; similarity expression search; semantic associative search; integrated associative search; mathematical model of meaning<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000239784600024&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>159<\/td>\n<td>Aida, Yoshiaki; Nakajima, Yoshihiro; Sato, Mitsuhisa; Sakurai, Tetsuya; Takahashi, Daisuke; Boku, Taisuke<\/td>\n<td class=\"title\">Performance improvement by data management layer in a grid RPC system<\/td>\n<td>ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS, Vol.3947, pp.324-335<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237540300033&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>160<\/td>\n<td>Sakurai, Tetsuya; Hayakawa, Kentaro; Sato, Mitsuhisa; Takahashi, Daisuke<\/td>\n<td class=\"title\">A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment<\/td>\n<td>APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING, Vol.3732, pp.1151-1158<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237003200138&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>161<\/td>\n<td>Sakurai, T; Kodaki, Y; Umeda, H; Inadomi, Y; Watanabe, T; Nagashima, U<\/td>\n<td class=\"title\">A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G\/MPI<\/td>\n<td>LARGE-SCALE SCIENTIFIC COMPUTING, Vol.3743, pp.438-445<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/11666806_50\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000236456400050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>162<\/td>\n<td>Nakanishi, T; Kishimoto, S; Sakurai, T; Kitagawa, T<\/td>\n<td class=\"title\">A construction method of a metadata space based on relations between words from an index of a book<\/td>\n<td>2005 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), pp.438-441<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000234267800111&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/details>\n<\/section>\n<section class=\"researcher\" id=\"researcher_2\">\n<h2>\u4f0a\u85e4\u8aa0<\/h2>\n<p class=\"stats\">\u8ad6\u6587\u6570: 87<\/p>\n<details>\n<summary>\u696d\u7e3e\u4e00\u89a7\u3092\u8868\u793a (87\u4ef6)<\/summary>\n<table>\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Chouchane, Hanna; Lee, Jooheong; Sakamura, Yuki; Nakamura, Hiroki; Abe, Genya; Itoh, Makoto<\/td>\n<td class=\"title\">Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis<\/td>\n<td>APPLIED SCIENCES-BASEL, Vol.16, No.3<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">driving automation; supervisory attention; eye tracking; Markov chain; takeover performance; human-machine interface<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/app16031401\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001687538100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Itoh, Ayato; Saito, Yuichi; Yano, Hiroaki; Yabe, Takuma; Itoh, Makoto<\/td>\n<td class=\"title\">How Do Pedestrians Perceive the Risk Against an Oncoming Autonomous Vehicle? Visualization of the Pedestrian's Risk Field<\/td>\n<td>TRANSPORTATION RESEARCH RECORD<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/03611981251375018\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001597628700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Saito, Yuichi; Ichinose, Yusaku; Sato, Toshihisa; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation<\/td>\n<td>TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, Vol.33<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Automated driving; Human out of the loop; Verbal communication; Control transition; Driver behavior<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trip.2025.101593\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001566018200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Cui, Zixin; Yang, Fan; Zhou, Huiping; Li, Xintong; Itoh, Makoto<\/td>\n<td class=\"title\">Using Video Introduction to Mitigate Affect-Based Initial Trust in Automation<\/td>\n<td>JAPANESE PSYCHOLOGICAL RESEARCH<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">human-automation trust; affect-based initial trust; faith; video introduction; plain text introduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1111\/jpr.12586\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001422886800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Cui, Zixin; Zhuang, Xiangling; Lee, Seul Chan; Lee, Jieun; Li, Xintong; Itoh, Makoto<\/td>\n<td class=\"title\">Developing and validating a Chinese human-automation trust scale: Advancing trust measurement of emerging automation in sustainable ergonomics<\/td>\n<td>APPLIED ERGONOMICS, Vol.125<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Human-automation trust; Chinese cultural context; Measurement tool; Trust development stages; Reliability and validity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2025.104477\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001424686900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Yamai, Yoichi; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Optimization of Flight Deck Display Format Using Integer Linear Programming to Enhance Pilot Performance<\/td>\n<td>2025 AIAA DATC\/IEEE 44TH DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Flight Deck Display Format; Mathematical Optimization; Cognitive Engineering Approach<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/DASC66011.2025.11257200\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001665766800044&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Cui, Zixin; Tu, Nianzhi; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Influence of Automobile Brand on the Structure of Initial Trust in Driving Automation<\/td>\n<td>HCI IN MOBILITY, TRANSPORT, AND AUTOMOTIVE SYSTEMS, MOBITAS 2025, PT II, Vol.15818, pp.60-68<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Initial Trust; Driving Automation; Automobile Brand<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-92692-1_4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001541481000004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>Cui, Zixin; Sato, Tetsuya; Jackson, Austin; Jayarathna, Sampath; Itoh, Makoto; Yamani, Yusuke<\/td>\n<td class=\"title\">Gaze transition entropy as a measure of attention allocation in a dynamic workspace involving automation<\/td>\n<td>SCIENTIFIC REPORTS, Vol.14, No.1<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-024-74244-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001331683000081&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>Baby, Tiju; Yoon, Sol Hee; Lee, Jieun; Cui, Zixin; Itoh, Makoto; Lee, Seul Chan<\/td>\n<td class=\"title\">Development and validation of automated driving behavior questionnaire (ADBQ)<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.103, pp.608-622<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Automated Vehicles; Automated Driving Behavior Questionnaire; ADBQ; Questionnaire Development; Structural Equation Modeling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2024.05.014\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001243715700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>Yamai, Yoichi; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Effectivity of Early Evaluation Methodology for Flight Deck Display Format by Dual Approaches<\/td>\n<td>2024 AIAA DATC\/IEEE 43RD DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Flight Deck Displays; Cognitive Experiment; Situation Awareness; Visual Characteristic<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/DASC62030.2024.10749259\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001453360400139&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>Munawwarah, Sharifah; Medina, Juan Sebastian Ruiz; Sato, Kenji; Abe, Genya; Itoh, Makoto<\/td>\n<td class=\"title\">Modelling of Human-like Steering Behavior under Emergency Collision Avoidance via Artificial Neural Network<\/td>\n<td>2024 7TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS, AND CONTROL ENGINEERING, ICECC 2024, pp.94-99<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">driving behavior; autonomous driving; emergency maneuvers; collision avoidance; Artificial Neural Network (ANN)<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICECC63398.2024.00024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001298145500017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Executing Safety Control under Hands-off Partial Driving Automation<\/td>\n<td>IFAC PAPERSONLINE, Vol.56, No.2, pp.8339-8344<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Safety; Intelligent vehicles; Interaction; adaptive automation; driver monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2023.10.1024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001122557300334&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>Kochi, Fuma; Saito, Yuichi; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Task difficulty, risk feeling, and safety margin in the determination of driver behavior to prepare for traffic conflicts<\/td>\n<td>ACCIDENT ANALYSIS AND PREVENTION, Vol.192<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Driver behavior; Decision making; Task difficulty; Risk; Safety; Driving simulator<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aap.2023.107284\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001078707800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>Cui, Zixin; Tu, Nianzhi; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of brand and brand trust on initial trust in fully automated driving system<\/td>\n<td>PLOS ONE, Vol.18, No.5<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0284654\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000984919900003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>Tu, Nianzi; Maeng, Sungju; Itoh, Makoto<\/td>\n<td class=\"title\">The influence of different camera perspectives and display devices on Beyond Visual Line of Sight (BVLOS) UAV operations<\/td>\n<td>2023 62ND ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, SICE, pp.339-344<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">BVLOS; drone; camera perspectives; display; UAV operation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/SICE59929.2023.10354201\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001138250800027&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>Imamura, Shota; Lee, Jieun; Rekimoto, Jun; Itoh, Makoto<\/td>\n<td class=\"title\">Advantage of Gaze-Only Contents Browsing in VR using Cumulative Dwell Time Compared to Hand Controller<\/td>\n<td>ACM SYMPOSIUM ON SPATIAL USER INTERACTION, SUI 2023<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">gaze interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; head-mounted display<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3607822.3614513\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001138802600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>Imamura, Shota; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Control prediction based on cumulative gaze dwell time while browsing contents<\/td>\n<td>ACM SYMPOSIUM ON EYE TRACKING RESEARCH &amp; APPLICATIONS, ETRA 2023<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">control prediction; gaze-based interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; headmounted display<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3588015.3589664\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001031497300091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>18<\/td>\n<td>Arame, Maki; Handa, Junko; Goda, Yoshiko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Verification of the Effectiveness of Learning Materials that Support Self-regulation for Learning Considering Differences in Career Resilience: Acquiring Knowledge of Level 3 Automated Driving Vehicles<\/td>\n<td>PROCEEDINGS OF SEVENTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2022, VOL 1, Vol.447, pp.889-900<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Conditional driving automation; Resilience; Self-regulation; Learning style; Decision tree analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-1607-6_78\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001334473600078&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>19<\/td>\n<td>Maeng, Sungju; Fujino, Mitsuki; Tu, Nianzhi; Itoh, Makoto<\/td>\n<td class=\"title\">Risk Analysis for Level 4 Drone Maneuvering: Safety in GPS Signal Loss<\/td>\n<td>PROCEEDINGS OF THE 2021 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY (APISAT 2021), VOL 2, Vol.913, pp.745-754<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Risk analysis; GPS signal loss; Drone; Safety; BVLOS operation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-2635-8_55\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865936500055&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>Andrijanto; Itoh, Makoto; Sianipar, Felix Sandro<\/td>\n<td class=\"title\">Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs (vol 46, pg 353, 2022)<\/td>\n<td>IATSS RESEARCH, Vol.46, No.4, pp.623-623<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.iatssr.2022.11.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000907572800017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>21<\/td>\n<td>Andrijanto; Itoh, Makoto; Sianipar, Felix Sandro<\/td>\n<td class=\"title\">Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs<\/td>\n<td>IATSS RESEARCH, Vol.46, No.3, pp.353-369<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Traffic safety culture; motorcyclists' behaviors; Driving safety program; Urban traffic; Reciprocal safety culture model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.iatssr.2022.04.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000876934400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>22<\/td>\n<td>Muslim, Husam; Leung, Cho Kiu; Itoh, Makoto<\/td>\n<td class=\"title\">Design and evaluation of cooperative human-machine interface for changing lanes in conditional driving automation<\/td>\n<td>ACCIDENT ANALYSIS AND PREVENTION, Vol.174<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Automated vehicle; Human-machine interaction; Perception; Decision-making; Levels of automation; Lane change<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aap.2022.106719\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000832781400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>Saito, Yuichi; Watahiki, Yuta; Leung, Chokiu; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of verbal messages with reminders to communicate driving situations to alter driver behavior in conditional driving automation<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.85, pp.69-82<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Driver behavior; Attention allocation; Automated driving; Verbal communication; Human out of the loop<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2022.01.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000795904200006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>Long, Shelby K.; Lee, Jieun; Yamani, Yusuke; Unverricht, James; Itoh, Makoto<\/td>\n<td class=\"title\">Does automation trust evolve from a leap of faith? An analysis using a reprogrammed pasteurizer simulation task<\/td>\n<td>APPLIED ERGONOMICS, Vol.100<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Human-machine trust; Human-machine system; Supervisory control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2021.103674\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000799844800010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>Vongvit, Rattawut; Lee, Jieun; Itoh, Makoto; Lee, Seul Chan<\/td>\n<td class=\"title\">Meta-Trend of Trust Factors in Autonomous Vehicles<\/td>\n<td>ADJUNCT PROCEEDINGS OF THE 14TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2022 ADJUNCT, pp.94-98<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Trust; Socio-technological factors; Automated vehicle; Autonomous vehicle<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3544999.3552528\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001144178100020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>26<\/td>\n<td>Watanabe, Takatomo; Itoh, Makoto<\/td>\n<td class=\"title\">Validity and Considerations of the Safety Analysis Method STAMP\/STPA on Emergency Stop -Case : Unprecedented Systems -<\/td>\n<td>2022 61ST ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS (SICE), pp.1194-1200<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">STAMP\/STPA; Safety analysis; Safety design; Emergency stop; Automation system<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000885102400094&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>27<\/td>\n<td>Andrijanto; Chen, Zhangyijing; Kodama, Takuro; Yano, Hiroaki; Itoh, Makoto<\/td>\n<td class=\"title\">Application of LargeSpace for Investigating Pedestrians' Behaviors when Interacting with Autonomous Vehicles in Shared Spaces<\/td>\n<td>2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022), pp.88-91<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Human-machine interaction; safety; shared space; pedestrian; automated vehicles; LargeSpace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/VRW55335.2022.00032\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000808111800023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>28<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.52, No.1, pp.74-86<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Vehicles; Automation; Eyelids; Wheels; Control systems; Torque; Fatigue; Driver monitoring; driving safety; dual control; human--machine interaction; partial driving automation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2021.3123171\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000733176200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>29<\/td>\n<td>Muslim, Husam; Itoh, Makoto; Liang, Cho Kiu; Antona-Makoshi, Jacobo; Uchida, Nobuyuki<\/td>\n<td class=\"title\">Effects of gender, age, experience, and practice on driver reaction and acceptance of traffic jam chauffeur systems<\/td>\n<td>SCIENTIFIC REPORTS, Vol.11, No.1<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-021-97374-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000695272000080&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>30<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.81, pp.384-395<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Trust in automation; Driving automation; Automation failure; Prior information; Training; Malfunction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2021.06.013\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000692568100015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>31<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Explanation-Based Knowledge Influence Driver Take-Over in Conditional Driving Automation?<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.51, No.3, pp.188-197<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Vehicles; Automation; Task analysis; Vehicle dynamics; Decision making; Process control; Man-machine systems; Conditional driving automation; driver takeover; human-machine interface; information processing; safety; system limitations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2021.3051342\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000652789700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>Lee, Jieun; Yamani, Yusuke; Long, Shelby K.; Unverricht, James; Itoh, Makoto<\/td>\n<td class=\"title\">Revisiting human-machine trust: a replication study of Muir and Moray (1996) using a simulated pasteurizer plant task<\/td>\n<td>ERGONOMICS, Vol.64, No.9, pp.1132-1145<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Trust; automation; human-machine trust; supervisory control; human-machine interaction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1080\/00140139.2021.1909752\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000642545600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>33<\/td>\n<td>Zhou, Huiping; Kamijo, Keita; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Effects of explanation-based knowledge regarding system functions and driver's roles on driver takeover during conditionally automated driving: A test track study<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.77, pp.1-9<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Automated driving; Takeover; Education and training; Human-machine interface; Test track<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2020.11.015\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000624566000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>34<\/td>\n<td>Saito, Yuichi; Muslim, Hussam; Itoh, Makoto<\/td>\n<td class=\"title\">Design of Haptic Protection with an Adaptive Level of Authority Based on Risk Indicators under Hands-on Partial Driving Automation<\/td>\n<td>2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.1613-1618<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC52423.2021.9658933\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000800532001093&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>35<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Instructed Knowledge Influence Drivers' Decision-Making in Conditional Driving Automation?<\/td>\n<td>PROCEEDINGS OF THE 21ST CONGRESS OF THE INTERNATIONAL ERGONOMICS ASSOCIATION, IEA 2021, VOL III, Vol.221, pp.845-852<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Decision-making; Knowledge; Takeover control; Request to intervene; Conditional driving automation; Safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-74608-7_104\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001575681000103&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>36<\/td>\n<td>Yamani, Yusuke; Long, Shelby K.; Itoh, Makoto<\/td>\n<td class=\"title\">Human-Automation Trust to Technologies for Naive Users Amidst and Following the COVID-19 Pandemic<\/td>\n<td>HUMAN FACTORS, Vol.62, No.7, pp.1087-1094<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">human-automation trust; trust development; COVID-19; naive automation users<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/0018720820948981\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000557530900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>37<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Long-Term Evaluation of Drivers' Behavioral Adaptation to an Adaptive Collision Avoidance System<\/td>\n<td>HUMAN FACTORS, Vol.63, No.7, pp.1295-1315<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">behavioral adaptation; adaptive automation; human-automation interaction; training; trust in automation; reaction time<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/0018720820926092\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000537491500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>38<\/td>\n<td>Yao, Hua; An, Suyang; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Safety Compensation for Improving Driver Takeover Performance in Conditionally Automated Driving<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.32, No.3, pp.530-536<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">automated driving; safety compensation; takeover performance<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.20965\/jrm.2020.p0530\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000543499600006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>39<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Demographic Characteristics on Trust in Driving Automation<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.32, No.3, pp.605-612<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">driving automation; human-machine trust; supervisory control; gender; acceptance of automation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.20965\/jrm.2020.p0605\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000543499600014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>40<\/td>\n<td>Zhou, H. P.; Itoh, M.; Kitazaki, S.<\/td>\n<td class=\"title\">Effect of instructing system limitations on the intervening behavior of drivers in partial driving automation<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.22, No.2, pp.321-334<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Partial driving automation; Explanation-based knowledge; System limitations; failures; Driver interventions; Driving safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00568-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527657500006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>41<\/td>\n<td>Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of driver compensatory behaviour on risks of critical pedestrian collisions under simulated visual field defects<\/td>\n<td>PLOS ONE, Vol.15, No.4<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0231130\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000535977000050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>42<\/td>\n<td>Flemisch, Frank O.; Pacaux-Lemoine, Marie-Pierre; Vanderhaegen, Frederic; Itoh, Makoto; Saito, Yuichi; Herzberger, Nicolas; Wasser, Joscha; Grislin, Emmanuelle; Baltzer, Marcel<\/td>\n<td class=\"title\">Conflicts in Human-Machine Systems as an Intersection of Bio- and Technosphere: Cooperation and Interaction Patterns for Human and Machine Interference and Conflict Resolution<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.530-535<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">human machine systems; arbitration; interference; cooperation; design metaphor<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209517\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200100&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>43<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Impacts of System Transparency and System Failure on Driver Trust During Partially Automated Driving<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.119-121<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated vehicle; Trust in automation; System transparency; System failure; Supervisory control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209322\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200024&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>44<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Effects of Driver Drowsiness on Driving Performance in the Context of Partial Driving Automation Requiring Hands-on-Wheel<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.100-103<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Safety; partially driving automation; dual control; adaptive automation; driver behavior monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209459\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>45<\/td>\n<td>An, Suyang; Maeda, Moe; Mao, Ximu; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of request-to-intervene message contents on driver performance and safety under conditionally automated driving system<\/td>\n<td>IFAC PAPERSONLINE, Vol.53, No.5, pp.203-206<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving; Safety; Driver Behavior; Request to Intervene; Human-Machine Interface<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2021.04.099\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000656589700036&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>46<\/td>\n<td>Goda, Yoshiko; Arame, Maki; Handa, Junko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Development of a Short-Form Learning Style Inventory for Automated Driving Safety Education<\/td>\n<td>PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (IEEE TALE 2020), pp.847-851<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">learning style; safety education; style; automated driving; Felder-Silverman learning style model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TALE48869.2020.9368318\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000662184600136&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>47<\/td>\n<td>Muslim, Husam; Liang, Cho Kiu; Itoh, Makoto<\/td>\n<td class=\"title\">Effectiveness and Driver Acceptance of Sharing Decision and Control in Automated Driving<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.4447-4452<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Levels of automation; Human-machine interface; Shared control; Driver acceptance; Lane change<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/smc42975.2020.9282853\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000687430604076&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>48<\/td>\n<td>Lee, Jieun; Hirano, Toshiaki; Itoh, Makoto<\/td>\n<td class=\"title\">Making Passenger Conversation in Partial Driving Automation: Effects of Relationship Between Driver and Passenger on Driver Fatigue and Driving Performance<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.1718-1722<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/smc42975.2020.9283363\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000687430601115&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>49<\/td>\n<td>Yao, Hua; An, Suyang; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">How Does Driver Takeover Worsen in a Sudden System Failure of Conditionally Automated Driving?<\/td>\n<td>2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), pp.1469-1474<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving; Takeover Performance; System Failure; ODD<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/sice48898.2020.9240345\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865985500126&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>50<\/td>\n<td>Arame, Maki; Handa, Junko; Goda, Yoshiko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Effects of Learning Materials about Automated Driving Level 3 Focusing on Frequency of Driving: Verification by Propensity Score Matching<\/td>\n<td>PROCEEDINGS OF THE 2020 FOURTH WORLD CONFERENCE ON SMART TRENDS IN SYSTEMS, SECURITY AND SUSTAINABILITY (WORLDS4 2020), pp.454-460<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving Level 3; Rasmussen SRK model; Career Resilience; Propensity Score Matching<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/worlds450073.2020.9210310\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000629054300077&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>51<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">A theoretical framework for designing human-centered automotive automation systems<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.685-697<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-centered automation; Human-automation interactions; Authority; Levels of automation; Automation driving system; Adaptive automation; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-018-0509-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000498450500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>52<\/td>\n<td>Flemisch, F.; Abbink, D. A.; Itoh, M.; Pacaux-Lemoine, M. -P.; Wessel, G.<\/td>\n<td class=\"title\">Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human-machine cooperation, cooperative guidance and control, shared, traded and supervisory control<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.555-568<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-machine systems; Human-machine cooperation; Joint action; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00576-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000493606400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>53<\/td>\n<td>Flemisch, F.; Abbink, D.; Itoh, M.; Pacaux-Lemoine, M. -P.<\/td>\n<td class=\"title\">Special issue on shared and cooperative control<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.553-554<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-machine systems; Human-machine cooperation; Joint action; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00607-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000492338400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>54<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Human Understanding of Automation Abilities on Driver Performance and Acceptance of Lane Change Collision Avoidance Systems<\/td>\n<td>IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol.20, No.6, pp.2014-2024<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Driver assistance systems; automation; control; human-automation interactions; system design<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TITS.2018.2856099\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470039700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>55<\/td>\n<td>Farah, Haneen; Piccinini, Giulio Bianchi; Itoh, Makoto; Dozza, Marco<\/td>\n<td class=\"title\">Modelling overtaking strategy and lateral distance in car-to-cyclist overtaking on rural roads: A driving simulator experiment<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.63, pp.226-239<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Overtaking; Cyclists; Driver behaviour; Driving simulator; Active safety systems; Automated driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2019.04.026\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470950700020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>56<\/td>\n<td>Takahashi, Hiroshi; Itoh, Makoto<\/td>\n<td class=\"title\">A Driving Simulation Study on Visual Cue Presented in the Peripheral Visual Field for Prompting Driver's Attention<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.31, No.2, pp.274-288<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">human machine interface; driving simulator; central field of vision; peripheral vision<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000465315100011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>57<\/td>\n<td>Merat, Natasha; Seppelt, Bobbie; Louw, Tyron; Engstrom, Johan; Lee, John D.; Johansson, Emma; Green, Charles A.; Katazaki, Satoshi; Monk, Chris; Itoh, Makoto; McGehee, Daniel; Sunda, Takashi; Unoura, Kiyozumi; Victor, Trent; Schieben, Anna; Keinath, Andreas<\/td>\n<td class=\"title\">The \"Out-of-the-Loop\" concept in automated driving: proposed definition, measures and implications<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.1, pp.87-98<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Out of the Loop; Automated driving; Autonomous; Driver behaviour; Human factors<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-018-0525-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000461394900008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>58<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Long-term Effect of Experiencing System Malfunction on Driver Take-over Control in Conditional Driving Automation<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), pp.1950-1955<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Conditionally driving automation; experience; driver take-over control; request to intervene; system malfunction; driver trust<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521353901161&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>59<\/td>\n<td>Lee, Jieun; Hirano, Toshiaki; Hano, Tomoya; Itoh, Makoto<\/td>\n<td class=\"title\">Conversation during Partially Automated Driving: How Attention Arousal is Effective on Maintaining Situation Awareness<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), pp.3718-3723<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521353903119&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>60<\/td>\n<td>Abe, Genya; Sato, Kenji; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of Changes in Levels of Automated Driving on Manual Control Recovery<\/td>\n<td>IFAC PAPERSONLINE, Vol.52, No.19, pp.79-84<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">automated driving; request to intervene; functional limit; safety; driver behaviour<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2019.12.113\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000504294500015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>61<\/td>\n<td>Muslim, H.; Itoh, M.<\/td>\n<td class=\"title\">Trust and Acceptance of Adaptive and Conventional Collision Avoidance Systems<\/td>\n<td>IFAC PAPERSONLINE, Vol.52, No.19, pp.55-60<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Safety; Adaptive control; Human machine interaction; Human factors; Lane change.<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2019.12.086\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000504294500011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>62<\/td>\n<td>Piccinini, Giulio Francesco Bianchi; Moretto, Claudia; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Influence of oncoming traffic on drivers' overtaking of cyclists<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.59, pp.378-388<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Cycling safety; Comfort zone boundary; Driving simulator; Overtaking strategy; Safety margin; Speed<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2018.09.009\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000449894900030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>63<\/td>\n<td>Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Driver Trust in Automated Driving Systems: The Case of Overtaking and Passing<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.48, No.1, pp.85-94<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Automated driving; human automation interaction; human factors; trust<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2017.2781619\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000422915300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>64<\/td>\n<td>Liu, Tianwei; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">The Impact of Explanation on Possibility of Hazard Detection Failure on Driver Intervention under Partial Driving Automation<\/td>\n<td>2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), pp.150-155<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000719424500026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>65<\/td>\n<td>Takahashi, Hiroshi; Itoh, Makoto<\/td>\n<td class=\"title\">A Study on Visual Driving Simulator for Analyzing Perception Characteristics of a Driver<\/td>\n<td>2018 JOINT 10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 19TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), pp.672-677<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Human Machine Interface; Driving Simulator; Eye Tracking<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SCIS-ISIS.2018.00113\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470750300102&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>66<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Knowledge about System Limitations Contribute to Interventions into Partial Automation Among Elderly Drivers?<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.819-824<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Partial automation; Elderly drivers; Explanation-based knowledge; system limitations; driving safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00147\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884800137&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>67<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Steering Behavior with Different Levels of Automation Interventions for Avoiding Collisions During Lane Change<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.2711-2716<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Safety; Collision avoidance; Authority; Lane change; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00463\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884802130&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>68<\/td>\n<td>Itoh, Makoto; Marie-Pierre, Pacaux-Lemoine<\/td>\n<td class=\"title\">Trust View from the Human-Machine Cooperation Framework<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3213-3218<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Trust; Human-machine System; Cooperation modelling; Shared control system<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00544\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884803045&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>69<\/td>\n<td>Hirano, Toshiaki; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Auditory Stimuli and Verbal Communications on Drivers' Situation Awareness in Partially Automated Driving<\/td>\n<td>2018 57TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), pp.690-696<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Driving automation; auditory stimulus; situation awareness; music; verbal conversation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000448184100036&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>70<\/td>\n<td>Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Driver Compensation: Reducing The Risk of Pedestrian Collisions under Visual Field Contraction<\/td>\n<td>2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.882-887<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Visual Field; Driving Simulator; Driver Behaviour; Compensation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000427598700154&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>71<\/td>\n<td>Ishida, Wakana; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Vehicle Behavior for Situation Awareness When Using a Driving Automation System<\/td>\n<td>2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.888-893<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Shared control; Human-automation interactions; supervisory Control; Situation awareness<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000427598700155&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>72<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Driver Assistance System With a Dual Control Scheme: Effectiveness of Identifying Driver Drowsiness and Preventing Lane Departure Accidents<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.46, No.5, pp.660-671<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Adaptive automation; advanced driver assistance systems (ADAS); driver behavior monitoring; dual control; safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2016.2549032\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000384279800003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>73<\/td>\n<td>Abe, Genya; Sato, Kenji; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Driver's trust in automated driving when passing bicycles<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>74<\/td>\n<td>Itoh, Makoto<\/td>\n<td class=\"title\">human factors in car-bicycle interaction<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>75<\/td>\n<td>Piccinini, Giulio Bianchi; Itoh, Makoto<\/td>\n<td class=\"title\">Driver decision and procedure to overtake cyclists<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>76<\/td>\n<td>Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">How does a driver perceive risk when making decision of lane-changing?<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.60-65<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Riskperception; Lane-changingbehavior; decisionmaking<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.462\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>77<\/td>\n<td>Itoh, Makoto; Flemisch, Frank; Abbink, David<\/td>\n<td class=\"title\">A hierarchical framework to analyze control conflicts between human and machine<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.96-101<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Automation; Shared Control; Human-Machine Cooperation; Conflict; Safety; Automobile; Aviation; Teleoperation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.468\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>78<\/td>\n<td>Flemisch, F.; Abbink, D.; Itoh, M.; Pacaux-Lemoine, M-P.; Wessel, G.<\/td>\n<td class=\"title\">Shared control is the sharp end of cooperation: Towards a common framework of joint action, shared control and human machine cooperation<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.72-77<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">human machine systems; human machine cooperation; joint action; shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.464\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>79<\/td>\n<td>Muslim, Husam; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Driving with Shared Control: How Support System Performance Impacts Safety<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.582-587<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Collision avoidance; Lane changing; Reliability; Safety; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402634700087&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>80<\/td>\n<td>Aizawa, Takuya; Itoh, Makoto<\/td>\n<td class=\"title\">Shared automation of lane change for avoiding forward obstacle<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3782-3787<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Shared control; lane change; automobile; safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402634703105&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>81<\/td>\n<td>Fischer, Sandrine; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Screening Prototype Features in Terms of Intuitive Use: Design Considerations and Proof of Concept<\/td>\n<td>INTERACTING WITH COMPUTERS, Vol.27, No.3, pp.256-270<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Intuitive use; Interaction design theory, concepts, and paradigms; Quantitative methods; User studies; Graphical user interfaces<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/iwc\/iwv002\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000354691800004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>82<\/td>\n<td>Makhtar, Ahmad Khushairy; Itoh, Makoto<\/td>\n<td class=\"title\">DRIVER'S MENTAL WORKLOAD: TASK PERFORMANCE AND MENTAL WORKLOAD<\/td>\n<td>JURNAL TEKNOLOGI, Vol.76, No.7, pp.109-113<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Mental worklood; performance measurement; safety; driver assistance<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000218594700019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>83<\/td>\n<td>Itoh, Makoto; Tanaka, Hiroto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Toward Trustworthy Haptic Assistance System for Emergency Avoidance of Collision With a Pedestrian<\/td>\n<td>JOURNAL OF HUMAN-ROBOT INTERACTION, Vol.4, No.3, pp.4-18<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Shared control; advanced driver assistance systems; safety; pedestrian<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5898\/JHRI.4.3.Itoh\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000218714100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>84<\/td>\n<td>Marie-Pierre, Pacaux-Lemoine; Makoto, Itoh<\/td>\n<td class=\"title\">Towards vertical and horizontal extension of shared control concept<\/td>\n<td>2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, pp.3086-3091<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Man machine systems; Cooperative system; Human factors; Context awareness; Team awareness; Car driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2015.536\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368940203030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>85<\/td>\n<td>Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Driver's trust in automted driving when passing other traffic objects<\/td>\n<td>2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, pp.897-902<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">component; trust; automtaed vehciels; manual driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2015.165\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368940200152&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>86<\/td>\n<td>Fischer, Sandrine; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Prior schemata transfer as an account for assessing the intuitive use of new technology<\/td>\n<td>APPLIED ERGONOMICS, Vol.46, pp.8-20<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Intuitive use; Schemata theory; Transfer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2014.05.010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000347736900002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>87<\/td>\n<td>Aoi, I; Makoto, I; Yoshida, M; Fukunaga, H; Nakae, H<\/td>\n<td class=\"title\">Influence of growth direction on the microstructure of unidirectionally solidified Cu-Pb monotectic alloy using zone-melt technique<\/td>\n<td>JOURNAL OF CRYSTAL GROWTH, Vol.222, No.4, pp.806-815<\/td>\n<td class=\"year\">2001<\/td>\n<td class=\"keywords\">gravity; unidirectional solidification; copper-lead alloy; monotectic; banded structure<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/S0022-0248(00)01008-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000166881800020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/details>\n<\/section>\n<section class=\"researcher\" id=\"researcher_3\">\n<h2>\u5409\u702c\u7ae0\u5b50<\/h2>\n<p class=\"stats\">\u8ad6\u6587\u6570: 31<\/p>\n<details>\n<summary>\u696d\u7e3e\u4e00\u89a7\u3092\u8868\u793a (31\u4ef6)<\/summary>\n<table>\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Lai, Zhijian; Yoshise, Akiko<\/td>\n<td class=\"title\">Riemannian Interior Point Methods for Constrained Optimization on Manifolds<\/td>\n<td>JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Vol.201, No.1, pp.433-469<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Riemannian manifolds; Riemannian optimization; Nonlinear optimization; Interior point method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10957-024-02403-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001173366800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Kanoh, Shin-ichi; Yoshise, Akiko<\/td>\n<td class=\"title\">A new extension of Chubanov's method to symmetric cones<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.205, No.1-2, pp.773-812<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10107-023-01995-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001031377700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Lai, Zhijian; Yoshise, Akiko<\/td>\n<td class=\"title\">Completely positive factorization by a Riemannian smoothing method<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.83, No.3, pp.933-966<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Completely positive factorization; Smoothing method; Nonsmooth Riemannian optimization problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-022-00417-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865373900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Wang, Yuzhu; Yoshise, Akiko<\/td>\n<td class=\"title\">Evaluating approximations of the semidefinite cone with trace normalized distance<\/td>\n<td>OPTIMIZATION LETTERS, Vol.17, No.4, pp.917-934<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Semidefinite optimization problem; Diagonally dominant matrix; Scaled diagonally dominant matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11590-022-01908-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000825924400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Wang, Yuzhu; Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Polyhedral approximations of the semidefinite cone and their application<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.78, No.3, pp.893-913<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Semidefinite optimization problem; Conic optimization problem; Polyhedral approximation; Semidefinite basis; Expanded semidefinite basis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-020-00255-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000604160400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">LP-based tractable subcones of the semidefinite plus nonnegative cone<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.265, No.1, pp.155-182<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Semidefinite plus nonnegative cone; Doubly nonnegative cone; Copositive cone; Matrix decomposition; Linear programming; Semidefinite basis; Maximum clique problem; Quadratic optimization problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-017-2720-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000430492100009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Sato, Toshiki; Takano, Yuichi; Miyashiro, Ryuhei; Yoshise, Akiko<\/td>\n<td class=\"title\">Feature subset selection for logistic regression via mixed integer optimization<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.64, No.3, pp.865-880<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Logistic regression; Feature subset selection; Mixed integer optimization; Information criterion; Piecewise linear approximation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-016-9832-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000376872000010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>Takagi, Hideaki; Okada, Yukihiko; Yoshise, Akiko; Shigeno, Maiko<\/td>\n<td class=\"title\">Creation of Service Science Curriculum for Customer-Oriented Business Innovation<\/td>\n<td>GLOBAL PERSPECTIVES ON SERVICE SCIENCE: JAPAN, pp.313-336<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-1-4939-3594-9_20\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000398390700023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>Watanabe, Yosuke; Ishii, Kiyo; Sato, Toshiki; Takefusa, Atsuko; Kudoh, Tomohiro; Shigeno, Maiko; Yoshise, Akiko<\/td>\n<td class=\"title\">Routing and wavelength\/sub-wavelength path assignment to maximizing accommodated traffic demands on optical networks<\/td>\n<td>JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, Vol.10, No.3<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Optical network; Routing and wavelength assignment; Sub-wavelength assignment; Integer programming; Cutting plane method; Greedy algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1299\/jamdsm.2016jamdsm0038\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000384230600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">AN LP-BASED ALGORITHM TO TEST COPOSITIVITY<\/td>\n<td>PACIFIC JOURNAL OF OPTIMIZATION, Vol.11, No.1, pp.101-120<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">copositive programming; matrix decomposition; linear programming; branch and bound algorithm; maximum clique problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000351657700007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>Takahashi, Satoshi; Takefusa, Atsuko; Shigeno, Maiko; Nakada, Hidemoto; Kudoh, Tomohiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Power Efficient Virtual Machine Packing for Green Datacenter<\/td>\n<td>INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING, Vol.4, No.2, pp.162-181<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">Keywords related to the papers; comma separated<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446526700005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>Takahashi, Satoshi; Takefusa, Atsuko; Shigeno, Maiko; Nakada, Hidemoto; Kudoh, Tomohiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Virtual Machine Packing Algorithms for Lower Power Consumption<\/td>\n<td>2012 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM)<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000320473500022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>Matsukawa, Yasuaki; Yoshise, Akiko<\/td>\n<td class=\"title\">A primal barrier function Phase I algorithm for nonsymmetric conic optimization problems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.29, No.3, pp.499-517<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Doubly nonnegative cone; Nonsymmetric conic optimization; Primal barrier function; Self-concordant function; Phase I algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-012-0081-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000312574300010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">Complementarity Problems Over Symmetric Cones: A Survey of Recent Developments in Several Aspects<\/td>\n<td>HANDBOOK ON SEMIDEFINITE, CONIC AND POLYNOMOAL OPTIMIZATION, Vol.166, pp.339-375<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-1-4614-0769-0_12\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000303779500012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">HOMOGENEOUS ALGORITHMS FOR MONOTONE COMPLEMENTARITY PROBLEMS OVER SYMMETRIC CONES<\/td>\n<td>PACIFIC JOURNAL OF OPTIMIZATION, Vol.5, No.2, pp.313-337<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">complementarity problem; symmetric cone; homogeneous algorithm; interior point method; complexity analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000266325900010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>Suzuka, Ayami; Miyashiro, Ryuhei; Yoshise, Akiko; Matsui, Tomomi<\/td>\n<td class=\"title\">Dependent randomized rounding to the home-away assignment problem in sports scheduling<\/td>\n<td>IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, Vol.E89A, No.5, pp.1407-1416<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">sports scheduling; timetabling; approximation algorithm; dependent randomized rounding<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/ietfec\/e89-a.5.1407\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237827500032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">Interior point trajectories and a homogeneous model for nonlinear complementarity problems over symmetric cones<\/td>\n<td>SIAM JOURNAL ON OPTIMIZATION, Vol.17, No.4, pp.1129-1153<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">complementarity problem; symmetric cone; homogeneous algorithm; existence of trajectory; interior point method; detecting infeasibility<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/04061427X\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000244631800008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>18<\/td>\n<td>Thoai, NV; Yamamoto, Y; Yoshise, A<\/td>\n<td class=\"title\">Global optimization method for solving mathematical programs with linear complementarity constraints<\/td>\n<td>JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Vol.124, No.2, pp.467-490<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\">Programs with linear complementarity constraints; equilibrium constraints; bilevel programming; global optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10957-004-0946-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000227160200011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>19<\/td>\n<td>Suzuka, A; Miyashiro, R; Yoshise, A; Matsui, T<\/td>\n<td class=\"title\">Semidefinite programming based approaches to home-away assignment problems in sports scheduling<\/td>\n<td>ALGORITHMIC APPLICATIONS IN MANAGEMENT, PROCEEDINGS, Vol.3521, pp.95-103<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\">sports timetabling; semidefinite programming; Goemans and Williamson's approximation algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000230475100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>Hotta, K; Yoshise, A<\/td>\n<td class=\"title\">A complexity bound of a predictor-corrector smoothing method using CHKS-functions for monotone LCP<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.22, No.3, pp.329-350<\/td>\n<td class=\"year\">2002<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1023\/A:1019754720598\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000177431600002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>21<\/td>\n<td>Hotta, K; Inaba, M; Yoshise, A<\/td>\n<td class=\"title\">A complexity analysis of a smoothing method using CHKS-functions for monotone linear complementarity problems<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.17, No.2-3, pp.183-201<\/td>\n<td class=\"year\">2000<\/td>\n<td class=\"keywords\">smoothing method; complexity bound; linear complementarity problem; monotonicity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1023\/A:1026550331760\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000166320300005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>22<\/td>\n<td>Hotta, K; Yoshise, A<\/td>\n<td class=\"title\">Global convergence of a class of non-interior point algorithms using Chen-Harker-Kanzow-Smale functions for nonlinear complementarity problems<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.86, No.1, pp.105-133<\/td>\n<td class=\"year\">1999<\/td>\n<td class=\"keywords\">non-interior point method; complementarity problem; smoothing function; homotopy method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s101070050082\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000082858100007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>Jansen, B; Roos, K; Terlaky, T; Yoshise, A<\/td>\n<td class=\"title\">Polynomiality of primal-dual affine scaling algorithms for nonlinear complementarity problems<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.78, No.3, pp.315-345<\/td>\n<td class=\"year\">1997<\/td>\n<td class=\"keywords\">complementarity problems; interior point methods; primal-dual affine scaling methods; smoothness conditions; polynomial-time convergence; global convergence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF02614359\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1997XT10800002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>KOJIMA, M; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">GLOBAL CONVERGENCE IN INFEASIBLE-INTERIOR-POINT ALGORITHMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.65, No.1, pp.43-72<\/td>\n<td class=\"year\">1994<\/td>\n<td class=\"keywords\">MONOTONE COMPLEMENTARITY PROBLEM; INTERIOR-POINT ALGORITHM; POTENTIAL REDUCTION ALGORITHM; INFEASIBILITY; GLOBAL CONVERGENCE<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01581689\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1994PC17000003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">A LITTLE THEOREM OF THE BIG-MU IN INTERIOR-POINT ALGORITHMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.59, No.3, pp.361-375<\/td>\n<td class=\"year\">1993<\/td>\n<td class=\"keywords\">INTERIOR POINT ALGORITHM; BIG-MU; LINEAR PROGRAM; CONVEX PROGRAM; COMPLEMENTARITY PROBLEM; POTENTIAL REDUCTION ALGORITHM; SELF-DUAL LINEAR PROGRAM<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01581253\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1993LN42100005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>26<\/td>\n<td>KOJIMA, M; MEGIDDO, N; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">A UNIFIED APPROACH TO INTERIOR POINT ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS - A SUMMARY<\/td>\n<td>OPERATIONS RESEARCH LETTERS, Vol.10, No.5, pp.247-254<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\">INTERIOR-POINT METHODS; COMPLEMENTARITY; LINEAR PROGRAMMING; QUADRATIC PROGRAMMING; PATH-FOLLOWING; POTENTIAL REDUCTION<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/0167-6377(91)90010-M\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991GB77200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>27<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">AN O(SQUARE-ROOT-N L) ITERATION POTENTIAL REDUCTION ALGORITHM FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.50, No.3, pp.331-342<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\">POTENTIAL REDUCTION ALGORITHM; LINEAR COMPLEMENTARITY PROBLEM; INTERIOR POINT ALGORITHM; KARMARKAR ALGORITHM; PATH OF CENTERS; CENTRAL TRAJECTORY<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01594942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991FT43600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>28<\/td>\n<td>KOJIMA, M; MEGIDDO, N; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">A UNIFIED APPROACH TO INTERIOR-POINT ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>LECTURE NOTES IN COMPUTER SCIENCE, Vol.538, pp.UR5-&amp;<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991LE71700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>29<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">ELLIPSOIDS THAT CONTAIN ALL THE SOLUTIONS OF A POSITIVE SEMIDEFINITE LINEAR COMPLEMENTARITY-PROBLEM<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.48, No.3, pp.415-435<\/td>\n<td class=\"year\">1990<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01582266\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1990EE53500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>30<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">A POLYNOMIAL-TIME ALGORITHM FOR A CLASS OF LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.44, No.1, pp.1-26<\/td>\n<td class=\"year\">1989<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01587074\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1989U824100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>31<\/td>\n<td>MIZUNO, S; YOSHISE, A; KIKUCHI, T<\/td>\n<td class=\"title\">PRACTICAL POLYNOMIAL-TIME ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF JAPAN, Vol.32, No.1, pp.75-92<\/td>\n<td class=\"year\">1989<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.15807\/jorsj.32.75\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1989T750500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/details>\n<\/section>\n<section class=\"researcher\" id=\"researcher_4\">\n<h2>Phung-Duc Tuan<\/h2>\n<p class=\"stats\">\u8ad6\u6587\u6570: 17<\/p>\n<details>\n<summary>\u696d\u7e3e\u4e00\u89a7\u3092\u8868\u793a (17\u4ef6)<\/summary>\n<table>\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Nguyen, Hung Q.; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Subgame perfect Nash equilibrium analysis in a two-population strategic matching queue with nonzero matching times<\/td>\n<td>OPERATIONS RESEARCH LETTERS, Vol.63<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Queueing game; Multi-population game; Subgame perfect Nash equilibrium; Social optimization; Double-ended queue<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.orl.2025.107362\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001582459800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Inami, Koki; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Analysis of Dynamic Transaction Fee Blockchain Using Queueing Theory<\/td>\n<td>MATHEMATICS, Vol.13, No.6<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">blockchain; queueing theory; Ethereum; EIP-1559<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math13061010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001452694700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Fair and efficient sharing: Dynamic pricing control for batch service system with strategic customers<\/td>\n<td>TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, Vol.171<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Shared-type transportation; Shuttle bus system; Queues with strategic customers; Batch service; Fair sharing; Dynamic pricing control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trc.2024.104994\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001406517800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Nakamura, Ayane; Tuan Phung-Duc<\/td>\n<td class=\"title\">Equilibrium Analysis and Social Optimization of a Selectable Single or Batch Services with General Service Time Distribution<\/td>\n<td>OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS, ICORES 2024, Vol.2545, pp.47-65<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Queueing game; Mode choice; Batch service; Clearing system; Nash equilibrium; Social optimization; Socially optimal pricing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-95646-1_3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001555667300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Wakigami, Kazuya; Machida, Fumio; Phung-duc, Tuan<\/td>\n<td class=\"title\">Empirical Architecture Comparison of Two-input Machine Learning Systems for Vision Tasks<\/td>\n<td>FORMAL ASPECTS OF COMPUTING, Vol.36, No.4<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Energy consumption; machine learning system; performance; reliability; simulation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3674849\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001391320700004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Koyama, Yusei; Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Sojourn Time Analysis of a Single-Server Queue with Single- and Batch-Service Customers<\/td>\n<td>MATHEMATICS, Vol.12, No.18<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">quasi-birth-and-death analysis; sojourn time distribution; first-step analysis; Laplace-Stieltjes transform; approximation analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math12182820\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001324019700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Khuong, Mai Ngoc; Dang Tuan, Pham; Ngoc Duy Phuong, Nguyen<\/td>\n<td class=\"title\">The effects of analytical and holistic reasoning perspective on innovation and business performance, a study of state own, FDI and private company in Vietnam<\/td>\n<td>COGENT BUSINESS &amp; MANAGEMENT, Vol.10, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">strategy; innovation; business performance; analytic reasoning perspective<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1080\/23311975.2023.2200609\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000970496500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>Ren, Yi; Phung-Duc, Tuan; Chen, Jyh-Cheng; Li, Frank Y.<\/td>\n<td class=\"title\">Enabling Dynamic Autoscaling for NFV in a Non-Standalone Virtual EPC: Design and Analysis<\/td>\n<td>IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, Vol.72, No.6, pp.7743-7756<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">EPC; network function virtualization; NFV instance resource allocation; dynamic autoscaling algorithm; modeling and analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TVT.2023.3237698\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001018210600062&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>Nazarov, Anatoly; Phung-Duc, Tuan; Paul, Svetlana; Morozova, Mariya<\/td>\n<td class=\"title\">Scaling Limits of a Tandem Queue with Two Infinite Orbits \u2020<\/td>\n<td>MATHEMATICS, Vol.11, No.11<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">tandem queueing networks; retrial; asymptotic analysis; two infinite orbits<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math11112454\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001005533400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M\/M<SUP>X<\/SUP>\/8 Queue<\/td>\n<td>MATHEMATICS, Vol.11, No.9<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">queueing model; infinite server; asymptotic analysis; weak law of large numbers; central limit theorem; moment approach; raw moment; factorial moment; stirling number; symbolic algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math11092088\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000987580900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>Nguyen, Hung Q.; Tuan Phung-Duc<\/td>\n<td class=\"title\">M\/M\/<i>c<\/i>\/Setup Queues: Conditional Mean Waiting Times and a Loop Algorithm to Derive Customer Equilibrium Threshold Strategy<\/td>\n<td>COMPUTER PERFORMANCE ENGINEERING, EPEW 2022, Vol.13659, pp.86-99<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Queueing system; Setup time; Game theory; Equilibrium threshold strategy; Data center<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-25049-1_6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000964589100006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>Machida, Yoshito; Phung-Duc, Tuan<\/td>\n<td class=\"title\">A Queueing Analysis of Multi-type Servers and Multi-type Customers System based on Gas Stations<\/td>\n<td>PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS (ICORES), pp.145-152<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Queueing Model; GI\/M\/1-type Markov Chain; Gas Station; Performance<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0010816100003117\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000818727100015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>Nazarov, Anatoly; Moiseev, Alexander; Phung-Duc, Tuan; Paul, Svetlana<\/td>\n<td class=\"title\">Diffusion Limit of Multi-Server Retrial Queue with Setup Time<\/td>\n<td>MATHEMATICS, Vol.8, No.12<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">multi-server retrial queue; setup time; two-phased service; asymptotic analysis; long delay condition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math8122232\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000601926300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>Dragieva, Velika I.; Tuan, Phung-Duc<\/td>\n<td class=\"title\">A finite-source M\/G\/1 retrial queue with outgoing calls<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.293, No.1, pp.101-121<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Finite queues; Retrials; Outgoing calls; Restriction on the orbit size<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-019-03359-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000567456600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>Phung-Duc, Tuan; Takahashi, Yutaka; Takagi, Hideaki<\/td>\n<td class=\"title\">Preface: Queueing theory and network applications II<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.293, No.1, pp.1-1<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-020-03618-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000528413400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>Dimitriou, Ioannis; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Analysis of Cognitive Radio Networks with Cooperative Communication<\/td>\n<td>PROCEEDINGS OF THE 13TH EAI INTERNATIONAL CONFERENCE ON PERFORMANCE EVALUATION METHODOLOGIES AND TOOLS ( VALUETOOLS 2020), pp.192-195<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">retrial queues; multiple orbits; cognitive radio networks; cooperative communication; two-way communication<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3388831.3388859\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000632693800028&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>WESTON, JF; TUAN, PD<\/td>\n<td class=\"title\">COMMENT ON ANALYSIS OF CREDIT POLICY CHANGES<\/td>\n<td>FINANCIAL MANAGEMENT, Vol.9, No.4, pp.59-63<\/td>\n<td class=\"year\">1980<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2307\/3664920\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1980KS22600008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/details>\n<\/section>\n<section class=\"researcher\" id=\"researcher_5\">\n<h2>\u4eca\u5009\u6681<\/h2>\n<p class=\"stats\">\u8ad6\u6587\u6570: 72<\/p>\n<details>\n<summary>\u696d\u7e3e\u4e00\u89a7\u3092\u8868\u793a (72\u4ef6)<\/summary>\n<table>\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Toyoda, Akihiro; Kawamata, Yuji; Nakayama, Tomoru; Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Estimating covariate-balanced survival curve in distributed data environment using data collaboration quasi-experiment<\/td>\n<td>SCIENTIFIC REPORTS, Vol.16, No.1<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Data collaboration; Propensity score matching; Privacy-preserving survival analysis; Covariate adjustment; Survival curve<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-33245-7\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001669782400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Kawakami, Yuta; Takano, Yuichi; Imakura, Akira<\/td>\n<td class=\"title\">New solutions based on the generalized eigenvalue problem for the data collaboration analysis<\/td>\n<td>INFORMATION SCIENCES, Vol.723<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Data collaboration; Eigenvalue problem; Decentralized data; Privacy; Machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2025.122642\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001583515600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Estimation of conditional average treatment effects on distributed confidential data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.296<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Statistical causal inference; Conditional average treatment effect; Privacy-preserving; Distributed data; Double machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2025.129066\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001541530000009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Nakayama, Tomoru; Kawamata, Yuji; Toyoda, Akihiro; Imakura, Akira; Kagawa, Rina; Sanuki, Masaru; Tsunoda, Ryoya; Yamagata, Kunihiro; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Data collaboration for causal inference from limited medical testing and medication data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Propensity score matching; Privacy-preserving causal inference; Data collaboration framework; Distributed data<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-93509-0\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001469449100048&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi<\/td>\n<td class=\"title\">BLOCK CROSS-INTERACTIVE RESIDUAL SMOOTHING FOR LANCZOS-TYPE SOLVERS FOR LINEAR SYSTEMS WITH MULTIPLE RIGHT-HAND SIDES<\/td>\n<td>SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, Vol.46, No.4, pp.2501-2526<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">multiple right-hand sides; block Lanczos-type solver; residual smoothing; residual gap; inexact orthonormalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/24M1720007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001640189300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Toward the Application of Differential Privacy to Data Collaboration<\/td>\n<td>IEEE ACCESS, Vol.12, pp.63292-63301<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Differential privacy; dimension reduction; distributed machine learning; federated learning; principal component analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2024.3396146\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001216586000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative causal inference on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.244<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Statistical causal inference; Quasi-experiment; Propensity score; Distributed data; Privacy-preserving method; Collaborative data analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.123024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001149999000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>Uchitachimoto, Go; Sukegawa, Noriyoshi; Kojima, Masayuki; Kagawa, Rina; Oyama, Takashi; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data collaboration analysis in predicting diabetes from a small amount of health checkup data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.13, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-023-38932-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001067878900039&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Another use of SMOTE for interpretable data collaboration analysis<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.228<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Interpretable data collaboration analysis; Anchor data; SMOTE; Privacy-preserving integrated analysis; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.120385\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001001059700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko; Fujii, Tomoya; Sakamoto, Teppei; Abe, Hiroyuki<\/td>\n<td class=\"title\">Non-readily identifiable data collaboration analysis for multiple datasets including personal information<\/td>\n<td>INFORMATION FUSION, Vol.98<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving analysis; Multi-source data fusion; Data collaboration analysis; Personal information; Identifiability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2023.101826\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001006143900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex moment-based eigensolver coupled with two Krylov subspaces<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.432<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Block Arnoldi iteration; Generalized eigenvalue problem; Nonlinear eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2023.115283\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000992867500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>Kagawa, Rina; Imakura, Akira; Matsubara, Masaki<\/td>\n<td class=\"title\">A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes<\/td>\n<td>LEVERAGING GENERATIVE INTELLIGENCE IN DIGITAL LIBRARIES: TOWARDS HUMAN-MACHINE COLLABORATION, ICADL 2023, PT I, Vol.14457, pp.218-227<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Document; Privacy-Preserving Analysis; Musical Education<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-99-8085-7_20\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001160644600020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">LSEC: Large-scale spectral ensemble clustering<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.27, No.1, pp.59-77<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Ensemble clustering; spectral clustering; landmark selection; approximate similarity computation; large-scale clustering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-216240\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000925119600004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.424<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Verified numerical computations; Rayleigh-Ritz procedure; Complex moment; Hermitian matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2022.114994\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000911099600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Complex moment-based methods for differential eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.92, No.1, pp.693-721<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Differential eigenvalue problem; Solve-then-discretize paradigm; Higher-order complex moments; Ordinary differential equations; Error bounds<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-022-01456-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000898430000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>Imakura, Akira; Tsunoda, Ryoya; Kagawa, Rina; Yamagata, Kunihiro; Sakurai, Tetsuya<\/td>\n<td class=\"title\">DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.137<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving survival analysis; Cox proportional hazards model; Data collaboration framework<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104264\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000897576200006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Divide-and-conquer based large-scale spectral clustering<\/td>\n<td>NEUROCOMPUTING, Vol.501, pp.664-678<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Spectral clustering; Landmark selection; Approximate similarity computation; Large-scale clustering; Large-scale datasets<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2022.06.006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000822699900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>18<\/td>\n<td>Huber, Sarah; Futamura, Yasunori; Galgon, Martin; Imakura, Akira; Lang, Bruno; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Flexible subspace iteration with moments for an effective contour integration-based eigensolver<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.29, No.6<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">contour-integral based eigensolver; Sakurai-Sugiura methods; subspace iteration<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2447\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788801800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>19<\/td>\n<td>Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.128<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Reinforcement learning (RL); Active feature selection; Renal cell carcinoma (RCC); Subtypes classification; Precision medicine<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104049\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000780448000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>Yamamoto, Ryuki; Hontani, Hidekata; Imakura, Akira; Yokota, Tatsuya<\/td>\n<td class=\"title\">Consistent MDT-Tucker: A Hankel Structure Constrained Tucker Decomposition in Delay Embedded Space<\/td>\n<td>PROCEEDINGS OF 2022 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), pp.137-142<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000922154500022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>21<\/td>\n<td>Yamazoe, Takaya; Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Image Data Recoverability Against Data Collaboration and Its Countermeasure<\/td>\n<td>SCIENCE OF CYBER SECURITY, SCISEC 2022 WORKSHOPS, Vol.1680, pp.3-15<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Privacy; Dimensionality reduction; GAN<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-7769-5_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000917179200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>22<\/td>\n<td>Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi<\/td>\n<td class=\"title\">CROSS-INTERACTIVE RESIDUAL SMOOTHING FOR GLOBAL AND BLOCK LANCZOS-TYPE SOLVERS FOR LINEAR SYSTEMS WITH MULTIPLE RIGHT-HAND SIDES br<\/td>\n<td>SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, Vol.43, No.3, pp.1308-1330<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">multiple right-hand sides; global Lanczos-type solver; block Lanczos-type solver; residual smoothing; residual gap<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/21M1436774\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861196300012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>Yamamoto, Ryuki; Hontani, Hidekata; Imakura, Akira; Yokota, Tatsuya<\/td>\n<td class=\"title\">Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), pp.2048-2056<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPR52688.2022.00210\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000867754202031&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>Imakura, Akira; Inaba, Hiroaki; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Interpretable collaborative data analysis on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.177<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborat i v e data analysis; Distributed data; Interpretability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2021.114891\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000663298900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Novelty Detection for Distributed Data by a Probabilistic Method<\/td>\n<td>ASIAN CONFERENCE ON MACHINE LEARNING, VOL 157, Vol.157, pp.932-947<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Novelty detection; Distributed data; Collaborative data analysis framework; Intermediate representation; Collaborative kernel<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001230093100061&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>26<\/td>\n<td>Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Clustering Joint Deep Embedding Learning by Autoencoder<\/td>\n<td>2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN52387.2021.9533825\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000722581704031&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>27<\/td>\n<td>Baek, Suhyeon; Imakura, Akira; Sakurai, Tetsuya; Kataoka, Ichiro<\/td>\n<td class=\"title\">Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.1-13<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Deep neural networks; High performance; Nonlinear semi-nonnegative matrix factorization; Backpropagation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>28<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.14-29<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborative data analysis; Distributed data; Classification; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>29<\/td>\n<td>Gu, Xian-Ming; Huang, Ting-Zhu; Carpentieri, Bruno; Imakura, Akira; Zhang, Ke; Du, Lei<\/td>\n<td class=\"title\">Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.375<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Krylov subspace methods; Shifted linear systems; Hessenberg procedure; GMRES; Shifted CMRH methods; FDEs<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2020.112788\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000526109700018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>30<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An oversampling framework for imbalanced classification based on Laplacian eigenmaps<\/td>\n<td>NEUROCOMPUTING, Vol.399, pp.107-116<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Imbalanced data; Oversampling; SMOTE; Laplacian eigenmaps<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2020.02.081\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000536805700010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>31<\/td>\n<td>Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Anomaly Detection in Large Graphs Using a Complex Moment-Based Eigenvalue Solver<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001054\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Data collaboration analysis; Distributed data sets; Intermediate representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001058\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>33<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.369<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Partial eigenproblem; Contour integral; Complex moment; Verified numerical computations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2019.112543\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000510954900027&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>34<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace<\/td>\n<td>PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING IN ASIA-PACIFIC REGION (HPC ASIA 2021), pp.83-89<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">dimensionality reduction; complex moment-based method; parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3432261.3432267\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000682970300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>35<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Hubness-based Sampling Method for Nystrom Spectral Clustering<\/td>\n<td>2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Spectral clustering; Sampling methods; Nystrom method; Hubness score<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000626021403124&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>36<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Ensemble Learning for Spectral Clustering<\/td>\n<td>20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020), pp.1094-1099<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Ensemble clustering; Spectral clustering; Graph Laplacian<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICDM50108.2020.00131\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000630177700121&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>37<\/td>\n<td>Matsuda, Momo; Morikuni, Keiichi; Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multiclass spectral feature scaling method for dimensionality reduction<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.24, No.6, pp.1273-1287<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Dimensionality reduction; spectral clustering; feature scaling; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-194942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000603258100004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>38<\/td>\n<td>Alvermann, Andreas; Basermann, Achim; Bungartz, Hans-Joachim; Carbogno, Christian; Ernst, Dominik; Fehske, Holger; Futamura, Yasunori; Galgon, Martin; Hager, Georg; Huber, Sarah; Huckle, Thomas; Ida, Akihiro; Imakura, Akira; Kawai, Masatoshi; Koecher, Simone; Kreutzer, Moritz; Kus, Pavel; Lang, Bruno; Lederer, Hermann; Manin, Valeriy; Marek, Andreas; Nakajima, Kengo; Nemec, Lydia; Reuter, Karsten; Rippl, Michael; Roehrig-Zoellner, Melven; Sakurai, Tetsuya; Scheffler, Matthias; Scheurer, Christoph; Shahzad, Faisal; Brambila, Danilo Simoes; Thies, Jonas; Wellein, Gerhard<\/td>\n<td class=\"title\">Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.699-717<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">ELPA-AEO; ESSEX; Eigensolver; Parallel; Mixed precision<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00360-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>39<\/td>\n<td>Imakura, Akira; Yamamoto, Yusaku<\/td>\n<td class=\"title\">Efficient implementations of the modified Gram-Schmidt orthogonalization with a non-standard inner product<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.619-641<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Modified Gram-Schmidt orthogonalization; Non-standard inner product; Efficient implementations; Error bounds<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00356-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>40<\/td>\n<td>Imakura, Akira<\/td>\n<td class=\"title\">Minimal residual-like condition with collinearity for shifted Krylov subspace methods<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.643-661<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Shifted linear systems; Shifted Krylov subspace methods; Minimal residual-like condition; Collinearity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00357-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>41<\/td>\n<td>Du, Lei; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Simultaneous band reduction of two symmetric matrices<\/td>\n<td>COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS, Vol.77, No.8, pp.2207-2220<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Simultaneous band reduction; Dense symmetric matrices; Matrix pencil; WY representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2018.12.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000463303000012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>42<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Distributed Collaborative Feature Selection Based on Intermediate Representation<\/td>\n<td>PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.4142-4149<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000761735104041&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>43<\/td>\n<td>Chiba, Naoya; Li, Mingyu; Imakura, Akira; Hashimoto, Koichi<\/td>\n<td class=\"title\">Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, ROBIO, pp.7-13<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Bin-picking; 3D Measurement; 3D Object Detection<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001507600700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>44<\/td>\n<td>Chiba, Naoya; Imakura, Akira; Hashimoto, Koichi<\/td>\n<td class=\"title\">Fast ADMM <i>l<\/i><sub>1<\/sub> minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, ROBIO, pp.14-21<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">3D Measurement; Light Transport Matrix; Alternating Direction Method of Multipliers (ADMM)<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001507600700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>45<\/td>\n<td>Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction<\/td>\n<td>THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE \/ THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE \/ NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, pp.3910-3918<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000485292603114&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>46<\/td>\n<td>Imakura, Akira; Sogabe, Tomohiro; Zhang, Shao-Liang<\/td>\n<td class=\"title\">A Look-Back-type restart for the restarted Krylov subspace methods for solving non-Hermitian linear systems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.35, No.2, pp.835-859<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Non-Hermitian linear systems; Restarted Krylov subspace methods; Residual polynomials; A Look-Back-type restart<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-018-0308-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000435710100018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>47<\/td>\n<td>Imakura, Akira; Inoue, Yuto; Sakurai, Tetsuya; Futamura, Yasunori<\/td>\n<td class=\"title\">Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.47, No.3, pp.815-827<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Deep neural networks; Nonlinear semi-nonnegative matrix factorizations; Parallel implementation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-017-9642-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000434268000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>48<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Tsukamoto, Shigeru; Ono, Tomoya<\/td>\n<td class=\"title\">Contour integral method for obtaining the self-energy matrices of electrodes in electron transport calculations<\/td>\n<td>PHYSICAL REVIEW B, Vol.97, No.19<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevB.97.195449\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000433287800012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>49<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure<\/td>\n<td>PARALLEL COMPUTING, Vol.74, pp.34-48<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Nonlinear eigenvalue problem; Complex moment-based eigensolver; Block communication-avoiding Arnoldi; Block Krylov subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.parco.2017.11.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000428486900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>50<\/td>\n<td>Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Okawa, Hirotada; Harada, Akira; Sumiyoshi, Kohsuke; Yamada, Shoichi; Matsufuru, Hideo; Imakura, Akira<\/td>\n<td class=\"title\">Simulations of Core-collapse Supernovae in Spatial Axisymmetry with Full Boltzmann Neutrino Transport<\/td>\n<td>ASTROPHYSICAL JOURNAL, Vol.854, No.2<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">hydrodynamics; neutrinos; supernovae: general<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3847\/1538-4357\/aaac29\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000425770500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>51<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.61-64<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">tensor renormalization group (TRG); randomized singular value decomposition; cutoff<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.61\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>52<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.77-80<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">generalized eigenvalue problem; dense matrix; contour integral method; block Krylov subspace method; distributed computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.77\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>53<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Imamura, Toshiyuki; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Optimization of reordering procedures in HOTRG for distributed parallel computing<\/td>\n<td>2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018), pp.957-966<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Tensor network; Higher-order tensor renormalization group (HOTRG); Optimization for reordering procedures; 3D classical cubic lattice Ising model; Distributed parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IPDPSW.2018.00150\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000541051600108&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>54<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems<\/td>\n<td>PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I, Vol.10777, pp.600-611<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Block SS-Hankel method; Structure-preserving; Hermitian generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-78024-5_52\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458563300052&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>55<\/td>\n<td>Chen, Hongjia; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Improving backward stability of Sakurai-Sugiura method with balancing technique in polynomial eigenvalue problem<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.357-375<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0016-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>56<\/td>\n<td>Futamura, Yasunori; Yano, Takahiro; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A real-valued block conjugate gradient type method for solving complex symmetric linear systems with multiple right-hand sides<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.333-355<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0023-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>57<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.75, No.2, pp.413-433<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Generalized eigenvalue problem; Block Krylov subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-016-0241-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402080400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>58<\/td>\n<td>Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Sumiyoshi, Kohsuke; Yamada, Shoichi; Matsufuru, Hideo; Imakura, Akira<\/td>\n<td class=\"title\">Three-dimensional Boltzmann-Hydro Code for Core-collapse in Massive Stars. II. The Implementation of Moving-mesh for Neutron Star Kicks<\/td>\n<td>ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, Vol.229, No.2<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">methods: numerical; neutrinos; radiative transfer; relativistic processes; (stars:) supernovae: general<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3847\/1538-4365\/aa69ea\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000399788900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>59<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Ono, Tomoya<\/td>\n<td class=\"title\">Efficient and Scalable Calculation of Complex Band Structure using Sakurai-Sugiura Method<\/td>\n<td>SC'17: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex band structure; Sakurai-Sugiura method; Oakforest-PACS; Quadratic eigenvalue problem; Density functional theory; Carbon nanotube<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3126908.3126942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458161700040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>60<\/td>\n<td>Tadano, Hiroto; Saito, Shusaku; Imakura, Akira<\/td>\n<td class=\"title\">Accuracy Improvement of the Shifted Block BiCGGR Method for Linear Systems with Multiple Shifts and Multiple Right-Hand Sides<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.171-185<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_12\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>61<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An Error Resilience Strategy of a Complex Moment-Based Eigensolver<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.1-18<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>62<\/td>\n<td>Suno, Hiroya; Nakamura, Yoshifumi; Ishikawa, Ken-Ichi; Kuramashi, Yoshinobu; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Eigenspectrum Calculation of the <i>O<\/i>(<i>a<\/i>)-Improved Wilson-Dirac Operator in Lattice QCD Using the Sakurai-Sugiura Method<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.81-90<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>63<\/td>\n<td>Chen, Hongjia; Maeda, Yasuyuki; Imakura, Akira; Sakurai, Tetsuya; Tisseur, Francoise<\/td>\n<td class=\"title\">Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.9, pp.17-20<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">SS-RR method; quadratic eigenvalue problem; backward error<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.9.17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000429566000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>64<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Relationships among contour integral-based methods for solving generalized eigenvalue problems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.33, No.3, pp.721-750<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral-based eigensolvers; Projection methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-016-0224-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389894100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>65<\/td>\n<td>Imakura, Akira; Li, Ren-Cang; Zhang, Shao-Liang<\/td>\n<td class=\"title\">Locally optimal and heavy ball GMRES methods<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.33, No.2, pp.471-499<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">GMRES; Restarted GMRES; Locally optimal GMRES; Heavy ball GMRES; Linear system<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-016-0220-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000379036300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>66<\/td>\n<td>Sumiyoshi, Kohsuke; Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Matsufuru, Hideo; Imakura, Akira; Yamada, Shoichi<\/td>\n<td class=\"title\">Core-Collapse Supernovae Explored by Multi-D Boltzmann Hydrodynamic Simulations<\/td>\n<td>PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON NUCLEI IN THE COSMOS (NIC2016)<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">supernova; neutrino transfer; hydrodynamics; simulation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSCP.14.010606\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000566261100039&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>67<\/td>\n<td>Sakurai, Tetsuya; Imakura, Akira; Inoue, Yuto; Futamura, Yasunori<\/td>\n<td class=\"title\">Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks<\/td>\n<td>NEURAL INFORMATION PROCESSING, ICONIP 2016, PT IV, Vol.9950, pp.354-362<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Nonnegative matrix factorizations; Alternating optimization method; Deep neural networks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-46681-1_43\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389804700043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>68<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.71, No.1, pp.103-120<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Error bounds; Contour integral-based eigensolver; Rayleigh-Ritz procedure; Generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-015-9987-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000369063900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>69<\/td>\n<td>Imakura, Akira<\/td>\n<td class=\"title\">An Efficient Algorithm to Construct an Orthonormal Basis for the Extended Krylov Subspace<\/td>\n<td>EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, Vol.4, No.3, pp.267-282<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Extended Krylov subspace; Krylov subspace; subspace projection methods; orthonormal basis; linear systems<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4208\/eajam.240413.020614a\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000340033900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>70<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems<\/td>\n<td>APPLIED MATHEMATICS LETTERS, Vol.32, pp.22-27<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral spectral projection; Krylov subspace; Block Arnoldi method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aml.2014.02.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000335102000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>71<\/td>\n<td>Imakura, Akira; Sogabe, Tomohiro; Zhang, Shao-Liang<\/td>\n<td class=\"title\">An Efficient Variant of the GMRES(<i>m<\/i>) Method Based on the Error Equations<\/td>\n<td>EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, Vol.2, No.1, pp.19-32<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Nonsymmetric linear systems; GMRES(m) method; restart; error equations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4208\/eajam.280611.030911a\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000325516600002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr>\n<td>72<\/td>\n<td>Imakura, A.; Sogabe, T.; Zhang, S. -L.<\/td>\n<td class=\"title\">An implicit wavelet sparse approximate inverse preconditioner using block finger pattern<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.16, No.11-12, pp.915-928<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">nonsymmetric linear systems; preconditioner; sparse approximate inverse; wavelet<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.657\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000271806800006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/details>\n<\/section><\/div>\n<p>    <!-- \u30bf\u30d62: \u4e00\u89a7\u691c\u7d22 --><\/p>\n<div id=\"tab-search\" class=\"tab-content\">\n<div class=\"filters\">\n        <label for=\"filter-researcher\">\u7814\u7a76\u8005:<\/label><\/p>\n<p>          \u5168\u54e1<br \/>\n          \u798f\u4e95\u548c\u5e83<br \/>\n          \u6afb\u4e95\u9244\u4e5f<br \/>\n          \u4f0a\u85e4\u8aa0<br \/>\n          \u5409\u702c\u7ae0\u5b50<br \/>\n          Phung-Duc Tuan<br \/>\n          \u4eca\u5009\u6681<\/p>\n<p>        <label for=\"filter-keyword\">\u30ad\u30fc\u30ef\u30fc\u30c9\u691c\u7d22:<\/label><br \/>\n        <input type=\"text\" id=\"filter-keyword\" placeholder=\"\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u5165\u529b...\"><br \/>\n        <button class=\"btn-reset\">\u30ea\u30bb\u30c3\u30c8<\/button><br \/>\n        <span class=\"filter-count\" id=\"filter-count\"><\/span>\n      <\/div>\n<table id=\"flat-table\">\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u7814\u7a76\u8005<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>1<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Valois, Pedro H. V.; Souza, Lincon S.; Shimomoto, Erica K.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation<\/td>\n<td>TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, Vol.13, pp.1436-1458<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1162\/TACL.a.48\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001606561600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>2<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Romanowski, Adrianna; Valois, Pedro H. V.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">From Punchlines to Predictions: A Metric to Assess LLM Performance in Identifying Humor in Stand-Up Comedy<\/td>\n<td>PROCEEDINGS OF THE WORKSHOP ON COGNITIVE MODELING AND COMPUTATIONAL LINGUISTICS, pp.36-46<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001660867600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"signal processing; environmental sound classification; product grassmann manifold; subspace method\">\n<td>3<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Mahyub, Maha; Souza, Lincon S.; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Signal latent subspace: Anew representation for environmental sound classification<\/td>\n<td>APPLIED ACOUSTICS, Vol.225<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Signal processing; Environmental sound classification; Product Grassmann manifold; Subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apacoust.2024.110181\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001280974900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"semantic artwork synthesis; generative adversarial network (gan); datasets; non-photorealistic rendering\">\n<td>4<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Simo-Serra, Edgar; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Controllable multi-domain semantic artwork synthesis<\/td>\n<td>COMPUTATIONAL VISUAL MEDIA, Vol.10, No.2, pp.355-373<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">semantic artwork synthesis; generative adversarial network (GAN); datasets; non-photorealistic rendering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s41095-023-0356-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001135210800002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>5<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Valois, Pedro H. V.; Niinuma, Koichiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space<\/td>\n<td>2024 IEEE\/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION, WACV 2024, pp.4817-4826<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/WACV57701.2024.00476\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001222964604093&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"3d point cloud; novelty detection; anomaly detection\">\n<td>6<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Akahori, Shizuka; Iizuka, Satoshi; Mawatari, Ken; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor<\/td>\n<td>IMAGE AND VIDEO TECHNOLOGY, PSIVT 2023, Vol.14403, pp.182-196<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">3D point cloud; Novelty detection; Anomaly detection<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-97-0376-0_14\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001207241200014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>7<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Al-Qadasi, Hamzah; Benchadi, Djafer Yahia M.; Chehida, Salim; Fukui, Kazuhiro; Bensalem, Saddek<\/td>\n<td class=\"title\">Neural Network Innovations in Image-Based Malware Classification: A Comparative Study<\/td>\n<td>ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 4, AINA 2024, Vol.202, pp.252-265<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-57916-5_22\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001264790400022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"semantic image synthesis; sparse input; diffusion models\">\n<td>8<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Diffusion-Based Semantic Image Synthesis from Sparse Layouts<\/td>\n<td>ADVANCES IN COMPUTER GRAPHICS, CGI 2023, PT II, Vol.14496, pp.441-454<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Semantic Image Synthesis; Sparse Input; Diffusion Models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-50072-5_35\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001152277800035&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"human action recognition; slow feature analysis; subspace-based methods\">\n<td>9<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Beleza, Suzana Rita Alves; Shimomoto, Erica K.; Souza, Lincon S.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Slow feature subspace: A video representation based on slow feature analysis for action recognition<\/td>\n<td>MACHINE LEARNING WITH APPLICATIONS, Vol.14<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Human action recognition; Slow feature analysis; Subspace-based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.mlwa.2023.100493\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001221464500002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"discriminant analysis; fisher criterion; subspace representation; pca without data centering\">\n<td>10<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Sogi, Naoya; Kobayashi, Takumi; Xue, Jing-Hao; Maki, Atsuto<\/td>\n<td class=\"title\">Discriminant Feature Extraction by Generalized Difference Subspace<\/td>\n<td>IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol.45, No.2, pp.1618-1635<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Discriminant analysis; fisher criterion; subspace representation; PCA without data centering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TPAMI.2022.3168557\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000912386000019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"texture rectification; texture synthesis; diffusion models\">\n<td>11<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hao, Guoqing; Iizuka, Satoshi; Hara, Kensho; Simo-Serra, Edgar; Kataoka, Hirokatsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Diffusion-based Holistic Texture Rectification and Synthesis<\/td>\n<td>PROCEEDINGS OF THE SIGGRAPH ASIA 2023 CONFERENCE PAPERS<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Texture rectification; texture synthesis; diffusion models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3610548.3618233\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001278296700087&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"vigilance level estimation; perclos; eyelid opening degree; dataset construction; regression model\">\n<td>12<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Taniguchi, Ko; Noguchi, Takahiro; Iizuka, Satoshi; Ando, Hiroyasu; Abe, Takashi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation<\/td>\n<td>MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2023 WORKSHOPS, Vol.14394, pp.45-55<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Vigilance Level Estimation; PERCLOS; Eyelid Opening Degree; Dataset Construction; Regression Model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-47425-5_5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001211854500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>13<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yahia, Djafer; Benchadi, Messaoud; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Malware detection using Kernel Constrained Subspace Method<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10215631\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>14<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Okada, Takuhiro; Huang, Yuantian; Hao, Guoqing; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Low-Level Feature Aggregation Networks for Disease Severity Estimation of Coffee Leaves<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10215626\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>15<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hiraoka, Yutaro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Deep Randomized Time Warping for Action Recognition<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10216189\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900064&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"arbitrary-sized image generation; generative adversarial networks; image decay; image editing; image manipulation; image processing; image weathering; texture generation\">\n<td>16<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hao, Guoqing; Iizuka, Satoshi; Hara, Kensho; Kataoka, Hirokatsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Natural Image Decay With a Decay Effects Generator<\/td>\n<td>IEEE ACCESS, Vol.11, pp.120402-120418<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Arbitrary-sized image generation; generative adversarial networks; image decay; image editing; image manipulation; image processing; image weathering; texture generation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3328171\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001098714700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"malware; malware image; subspace method; kernel subspace method; occlusion sensitivity analysis\">\n<td>17<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yahia, M. Benchadi Djafer; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns<\/td>\n<td>IEEE ACCESS, Vol.11, pp.102492-102507<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Malware; malware image; subspace method; kernel subspace method; occlusion sensitivity analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3313409\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001077102200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>18<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Uchiyama, Tomoki; Sogi, Naoya; Niinuma, Koichiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Visually explaining 3D-CNN predictions for video classification with an adaptive occlusion sensitivity analysis<\/td>\n<td>2023 IEEE\/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), pp.1513-1522<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/WACV56688.2023.00156\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000971500201059&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"talking head; video editing\">\n<td>19<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">FREE-VIEW EXPRESSIVE TALKING HEAD VIDEO EDITING<\/td>\n<td>ICASSP 2023 - 2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, ICASSP<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Talking head; video editing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICASSP49357.2023.10095745\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001549214006040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"action recognition; tensor data classification; grassmann manifold; subspace method; n-mode singular value decomposition\">\n<td>20<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Batalo, Bojan; Souza, Lincon S.; Gatto, Bernardo B.; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Temporal-stochastic tensor features for action recognition<\/td>\n<td>MACHINE LEARNING WITH APPLICATIONS, Vol.10<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Action recognition; Tensor data classification; Grassmann manifold; Subspace method; n-mode singular value decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.mlwa.2022.100407\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001223227900005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"bioacoustic signal classification; singular spectrum analysis; mutual singular spectrum analysis; signal subspace methods\">\n<td>21<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo Bentes; Colonna, Juan Gabriel; dos Santos, Eulanda Miranda; Koerich, Alessandro Lameiras; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Discriminative Singular Spectrum Classifier with applications on bioacoustic signal recognition<\/td>\n<td>DIGITAL SIGNAL PROCESSING, Vol.133<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Bioacoustic signal classification; Singular spectrum analysis; Mutual singular spectrum analysis; Signal subspace methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.dsp.2022.103858\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000901797100009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"grassmannian learning mutual subspace; method; learning subspace methods; subspace learning; image recognition; deep neural networks; manifold optimization\">\n<td>22<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Sogi, Naoya; Gatto, Bernardo B.; Kobayashi, Takumi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Grassmannian learning mutual subspace method for image set recognition<\/td>\n<td>NEUROCOMPUTING, Vol.517, pp.20-33<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Grassmannian learning mutual subspace; method; Learning subspace methods; Subspace learning; Image recognition; Deep neural networks; Manifold optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2022.10.040\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000884436700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"environmental sound classification; cnn features; subspace method; product grassmann manifold\">\n<td>23<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Mahyub, Maha; Souza, Lincon S.; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">ENVIRONMENTAL SOUND CLASSIFICATION BASED ON CNN LATENT SUBSPACES<\/td>\n<td>2022 INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC 2022)<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">environmental sound classification; CNN features; subspace method; product Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IWAENC53105.2022.9914765\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000934046400062&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>24<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Batalo, Bojan; Souza, Lincon S.; Gatto, Bernardo B.; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Analysis of Temporal Tensor Datasets on Product Grassmann Manifold<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, pp.4868-4876<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00534\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861612704099&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>25<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Scott, Atom; Uchida, Ikuma; Onishi, Masaki; Kameda, Yoshinari; Fukui, Kazuhiro; Fujii, Keisuke<\/td>\n<td class=\"title\">SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, pp.3568-3578<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00401\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861612703073&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"subspace method; tensor analysis; fukunaga-koontz transform; n-mode svd\">\n<td>26<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; Santos, Eulanda M. dos; Molinetti, Marco A. F.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Multilinear clustering via tensor Fukunaga-Koontz transform with Fisher eigenspectrum regularization<\/td>\n<td>APPLIED SOFT COMPUTING, Vol.113<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Subspace method; Tensor analysis; Fukunaga-Koontz transform; n-mode SVD<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.asoc.2021.107899\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000724824100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"image-set based method; convex cone representation; multiple angles\">\n<td>27<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Zhu, Rui; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Constrained mutual convex cone method for image set based recognition<\/td>\n<td>PATTERN RECOGNITION, Vol.121<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Image-set based method; Convex cone representation; Multiple angles<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2021.108190\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000697551500010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"topic classification; sentiment analysis; word subspace; subspace-based methods\">\n<td>28<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Shimomoto, Erica K.; Portet, Francois; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Text classification based on the word subspace representation<\/td>\n<td>PATTERN ANALYSIS AND APPLICATIONS, Vol.24, No.3, pp.1075-1093<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Topic classification; Sentiment analysis; Word subspace; Subspace-based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10044-021-00960-6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000628089000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>29<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny V.<\/td>\n<td class=\"title\">Fukunaga-Koontz Convolutional Network with Applications on Character Classification (vol 52, pg 443, 2020)<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.53, No.1, pp.863-863<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-020-10408-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000613033400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"action recognition; tensor data classification; generalized difference subspace; n-mode singular value decomposition\">\n<td>30<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Koerich, Alessandro L.; Fukui, Kazuhiro; Junior, Waldir S. S.<\/td>\n<td class=\"title\">Tensor analysis with n-mode generalized difference subspace<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.171<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Action recognition; Tensor data classification; Generalized difference subspace; n-mode singular value decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2020.114559\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000631642900002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"image-set based classification; whitening transformation; multiple pseudo-whitened mutual subspace method; ensemble method; cnn features\">\n<td>31<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yamaguchi, Osamu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Image-set based Classification using Multiple Pseudo-whitened Mutual Subspace Method<\/td>\n<td>PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM), pp.296-306<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Image-set based Classification; Whitening Transformation; Multiple Pseudo-Whitened Mutual Subspace Method; Ensemble Method; CNN Features<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0010836500003122\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000819122200032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"training; data models; support vector machines; learning systems; face; security; pattern recognition; classification; convex cone; convex hull; dual analysis; separating hyperplane; subspace\">\n<td>32<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Zhu, Rui; Wang, Ziyu; Sogi, Naoya; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data<\/td>\n<td>IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol.31, No.10, pp.3866-3876<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Training; Data models; Support vector machines; Learning systems; Face; Security; Pattern recognition; Classification; convex cone; convex hull; dual analysis; separating hyperplane; subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TNNLS.2019.2946967\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000576436600008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>33<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yang, Wenming; Zhou, Fei; Zhu, Rui; Fukui, Kazuhiro; Wang, Guijin; Xue, Jing-Hao<\/td>\n<td class=\"title\">Deep learning for image super-resolution<\/td>\n<td>NEUROCOMPUTING, Vol.398, pp.291-292<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2019.09.091\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000553601200009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"subspace method; shallow networks; semi-supervised learning\">\n<td>34<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; Souza, Lincon S.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny V.<\/td>\n<td class=\"title\">A semi-supervised convolutional neural network based on subspace representation for image classification<\/td>\n<td>EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, Vol.2020, No.1<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Subspace method; Shallow networks; Semi-supervised learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s13640-020-00507-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000542795300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"subspace method; shallow networks; fukunaga-koontz transform\">\n<td>35<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny, V<\/td>\n<td class=\"title\">Fukunaga-Koontz Convolutional Network with Applications on Character Classification<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.52, No.1, pp.443-465<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Subspace method; Shallow networks; Fukunaga-Koontz transform<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-020-10244-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000534722900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"enhanced gda; randomized time warping; motion recognition\">\n<td>36<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition<\/td>\n<td>PATTERN RECOGNITION, Vol.97<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Enhanced GDA; Randomized time warping; Motion recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2019.107028\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000491609400018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>37<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Sogi, Naoya; Gatto, Bernardo B.; Kobayashi, Takumi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">An Interface between Grassmann manifolds and vector spaces<\/td>\n<td>2020 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), pp.3686-3695<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW50498.2020.00431\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788279003083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"subspace analysis; fisher criterion; bioacoustic classification\">\n<td>38<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Colonna, Juan G.; Sogi, Naoya; Souza, Lincon S.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Discriminative Singular Spectrum Analysis for bioacoustic classification<\/td>\n<td>INTERSPEECH 2020, pp.2887-2891<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">subspace analysis; Fisher criterion; bioacoustic classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21437\/Interspeech.2020-2134\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000833594103005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>39<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Ch'ng, Shin-Fang; Sogi, Naoya; Purkait, Pulak; Chin, Tat-Jun; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), pp.9680-9686<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icra40945.2020.9196902\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000712319506071&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>40<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Metric Learning with A-based Scalar Product for Image-set Recognition<\/td>\n<td>2020 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), pp.3706-3715<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW50498.2020.00433\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788279003085&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"semantic segmentation; convolutional network; adaptive inference\">\n<td>41<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yokoo, Shuhei; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">MLSNET: RESOURCE-EFFICIENT ADAPTIVE INFERENCE WITH MULTI-LEVEL SEGMENTATION NETWORKS<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), pp.1510-1514<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">semantic segmentation; convolutional network; adaptive inference<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icip.2019.8803093\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521828601128&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>42<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Shimomoto, Erica K.; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image<\/td>\n<td>PROCEEDINGS OF MVA 2019 16TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA)<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/mva.2019.8757876\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000484550200004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>43<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sakai, Akinari; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Gait Recognition Based on Constrained Mutual Subspace Method with CNN Features<\/td>\n<td>PROCEEDINGS OF MVA 2019 16TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA)<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/mva.2019.8758035\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000484550200059&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"bioacoustic signals; tangent singular spectrum analysis; grassmann manifold\">\n<td>44<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">CLASSIFICATION OF BIOACOUSTIC SIGNALS WITH TANGENT SINGULAR SPECTRUM ANALYSIS<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.351-355<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Bioacoustic signals; tangent singular spectrum analysis; Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icassp.2019.8682493\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000482554000071&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"hyperspectral image classification; joint sparse model; simultaneous orthogonal matching pursuit; cone; non-negativity\">\n<td>45<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Wang, Ziyu; Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Cone-based joint sparse modelling for hyperspectral image classification<\/td>\n<td>SIGNAL PROCESSING, Vol.144, pp.417-429<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Hyperspectral image classification; Joint sparse model; Simultaneous orthogonal matching pursuit; Cone; non-negativity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.sigpro.2017.11.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000419412000043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"image-set based method; mutual convex cone method; convex cone representation\">\n<td>46<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Nakayama, Taku; Fukui, Kazuhiro<\/td>\n<td class=\"title\">A Method Based on Convex Cone Model for Image-Set Classification with CNN Features<\/td>\n<td>2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Image-set based method; Mutual convex cone method; Convex cone representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000585967401020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"text classification; word subspace; termfrequency; subspace based methods\">\n<td>47<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Shimomoto, Erica K.; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Text Classification based on Word Subspace with Term-Frequency<\/td>\n<td>2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Text classification; Word subspace; Termfrequency; Subspace based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000585967404050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>48<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Action Recognition Method Based on Sets of Time Warped ARMA Models<\/td>\n<td>2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp.1773-1778<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000455146801130&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"bioacoustic signals; subspace method; grassmann singular spectrum analysis; grassmann manifold\">\n<td>49<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">GRASSMANN SINGULAR SPECTRUM ANALYSIS FOR BIOACOUSTICS CLASSIFICATION<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.256-260<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Bioacoustic signals; subspace method; Grassmann singular spectrum analysis; Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446384600052&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"protein visualization; similarity measures; subspace method; canonical angles; grassmann discriminant analysis\">\n<td>50<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Saigo, Hiroto; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images<\/td>\n<td>IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Vol.15, No.1, pp.286-299<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Protein visualization; similarity measures; subspace method; canonical angles; Grassmann discriminant analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TCBB.2016.2603987\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000424479500025&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"target detection; hyperspectral image (hsi); cone representation; non-negativity; half-gaussian distribution; half-laplace distribution; shrunken estimation\">\n<td>51<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Wang, Ziyu; Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection<\/td>\n<td>IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol.26, No.11, pp.5447-5461<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Target detection; hyperspectral image (HSI); cone representation; non-negativity; half-Gaussian distribution; half-Laplace distribution; shrunken estimation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TIP.2017.2740621\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000408817400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"discriminatively ordered subspace; generalised difference subspace; generating matrix; simca; spectral data classification; subspace method\">\n<td>52<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data<\/td>\n<td>INFORMATION SCIENCES, Vol.382, pp.1-14<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Discriminatively ordered subspace; Generalised difference subspace; Generating matrix; SIMCA; Spectral data classification; Subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2016.12.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392792600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>53<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>de Souza, Lincon Sales; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">3D Object Recognition with Enhanced Grassmann Discriminant Analysis<\/td>\n<td>COMPUTER VISION - ACCV 2016 WORKSHOPS, PT III, Vol.10118, pp.345-359<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-54526-4_26\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000426194700026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>54<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace-based Convolutional Network for Handwritten Character Recognition<\/td>\n<td>2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, pp.1044-1049<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICDAR.2017.173\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000464822500163&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>55<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>de Souza, Lincon Sales; Gatto, Bernardo Bentes; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Enhancing Discriminability of Randomized Time Warping for Motion Recognition<\/td>\n<td>PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017, pp.77-80<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000426950300019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"three-dimensional object recognition; subspace representation; canonical angles; grassmann manifold; mutual subspace method\">\n<td>56<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yataka, Ryoma; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold<\/td>\n<td>ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, pp.208-216<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Three-dimensional Object Recognition; Subspace Representation; Canonical Angles; Grassmann Manifold; Mutual Subspace Method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0006204702080216\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413240500023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"feature extraction; dynamic time warping; subspace method; hankel matrix; motion recognition\">\n<td>57<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Randomized time warping for motion recognition<\/td>\n<td>IMAGE AND VISION COMPUTING, Vol.54, pp.1-11<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Feature extraction; Dynamic time warping; Subspace method; Hankel matrix; Motion recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.imavis.2016.07.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000387520500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"protein fold classification; distance metrics combination; large margin nearest neighbor; kernel learning; optimization\">\n<td>58<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Fukui, Kazuhiro; Hino, Hideitsu<\/td>\n<td class=\"title\">Protein Fold Classification Using Large Margin Combination of Distance Metrics<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E99D, No.3, pp.714-723<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">protein fold classification; distance metrics combination; large margin nearest neighbor; kernel learning; optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1587\/transinf.2015EDP7294\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000375973400018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>59<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Tanaka, Shohei; Okazaki, Akio; Kato, Nobuko; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Spotting Fingerspelled Words from Sign Language Video by Temporally Regularized Canonical Component Analysis<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON IDENTITY, SECURITY AND BEHAVIOR ANALYSIS (ISBA)<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000386736600013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"personal authentication; facial feature; shape subspace; grassmann discriminant analysis\">\n<td>60<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yoshinuma, Takao; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface<\/td>\n<td>IMAGE AND VIDEO TECHNOLOGY, PSIVT 2015, Vol.9431, pp.433-446<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Personal authentication; Facial feature; Shape subspace; Grassmann discriminant analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-29451-3_35\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000374173000035&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"subspace method; mutual subspace method; canonical angles; difference subspace; 3d object recognition\">\n<td>61<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Maki, Atsuto<\/td>\n<td class=\"title\">Difference Subspace and Its Generalization for Subspace-Based Methods<\/td>\n<td>IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol.37, No.11, pp.2164-2177<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Subspace method; mutual subspace method; canonical angles; difference subspace; 3D object recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TPAMI.2015.2408358\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000362411000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"indirect immunofluorescence; hep-2 cell classification; local binary pattern; rotation invariant co-occurrence\">\n<td>62<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Nosaka, Ryusuke; Fukui, Kazuhiro<\/td>\n<td class=\"title\">HEp-2 cell classification using rotation invariant co-occurrence among local binary patterns<\/td>\n<td>PATTERN RECOGNITION, Vol.47, No.7, pp.2428-2436<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Indirect immunofluorescence; HEp-2 cell classification; Local binary pattern; Rotation invariant co-occurrence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2013.09.018\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000334978100014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>63<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yamazaki, Yasuyuki; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Sensing Visual Attention by Sequential Patterns<\/td>\n<td>2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp.483-488<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICPR.2014.92\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000359818000081&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"metric learning; large margin nearest neighbor; protein fold classification\">\n<td>64<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Combination of Multiple Distance Measures for Protein Fold Classification<\/td>\n<td>2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013), pp.440-445<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">metric learning; large margin nearest neighbor; protein fold classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACPR.2013.139\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000339501000088&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"hand-shape recognition; multi-viewpoint; kernel orthogonal mutual subspace method\">\n<td>65<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Hand-Shape Recognition Using the Distributions of Multi-Viewpoint Image Sets<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E95D, No.6, pp.1619-1627<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">hand-shape recognition; multi-viewpoint; kernel orthogonal mutual subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1587\/transinf.E95.D.1619\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000305203800006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>66<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Jiang, Shukun; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Protein structure similarity based on multi-view images generated from 3D molecular visualization<\/td>\n<td>2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), pp.3447-3451<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000343660603127&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>67<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Peris, Martin; Maki, Atsuto; Martull, Sara; Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Towards a Simulation Driven Stereo Vision System<\/td>\n<td>2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), pp.1038-1042<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000343660601033&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"protein structure clustering; k-means; mutual subspace method; grassmann manifold; gauss integrals\">\n<td>68<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Saigo, Hiroto; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Protein Clustering on a Grassmann Manifold<\/td>\n<td>PATTERN RECOGNITION IN BIOINFORMATICS, Vol.7632, pp.71-81<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">protein structure clustering; k-means; Mutual Subspace Method; Grassmann manifold; Gauss Integrals<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000334930400007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>69<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Akihiro, Naoki; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Compound Mutual Subspace Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method<\/td>\n<td>COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, Vol.6469, pp.374-383<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392225500046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>70<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suter, David; Fukui, Kazuhiro; Tamaki, Toru<\/td>\n<td class=\"title\">Introduction to the Third International Workshop on Subspace Methods<\/td>\n<td>COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, Vol.6469, pp.XX-XX<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392225500008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"image feature extraction; local binary pattern (lbp); co-occurrence; face recognition; texture recognition\">\n<td>71<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Nosaka, Ryusuke; Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Feature Extraction Based on Co-occurrence of Adjacent Local Binary Patterns<\/td>\n<td>ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PT II, Vol.7088, pp.82-91<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\">Image feature extraction; local binary pattern (LBP); co-occurrence; face recognition; texture recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000308515500008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>72<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Igarashi, Yosuke; Fukui, Kazuhiro<\/td>\n<td class=\"title\">3D Object Recognition Based on Canonical Angles between Shape Subspaces<\/td>\n<td>COMPUTER VISION - ACCV 2010, PT IV, Vol.6495, pp.580-591<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000298617900046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>73<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Li, Xi; Fukui, Kazuhiro; Zheng, Nanning<\/td>\n<td class=\"title\">Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles<\/td>\n<td>COMPUTER VISION - ACCV 2009, PT I, Vol.5994, pp.323-+<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000279642500030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"kernel methods; least squares; linear programming; subspace-based methods; support vector machines\">\n<td>74<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Kitamura, Takuya; Takeuchi, Syogo; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace-based support vector machines for pattern classification<\/td>\n<td>NEURAL NETWORKS, Vol.22, No.5-6, pp.558-567<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">Kernel methods; Least squares; Linear programming; Subspace-based methods; Support vector machines<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neunet.2009.06.026\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000269808300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>75<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Li, Xi; Fukui, Kazuhiro; Zheng, Nanning<\/td>\n<td class=\"title\">Boosting Constrained Mutual Subspace Method for Robust Image-Set Based Object Recognition<\/td>\n<td>21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, pp.1132-1137<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000283727900179&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>76<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Takeuchi, Syogo; Kitamura, Takuya; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace Based Linear Programming Support Vector Machines<\/td>\n<td>IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, pp.1268-+<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280591600185&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>77<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Kitamura, Takuya; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace Based Least Squares Support Vector Machines for Pattern Classification<\/td>\n<td>IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, pp.1275-+<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280591600186&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>78<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Niigaki, Hitoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Classification of Similar 3D Objects with Different Types of Features from Multi-view Images - An Approach to Classify 100 Apples<\/td>\n<td>ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PROCEEDINGS, Vol.5414, pp.1046-1057<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000263213300091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"action recognition; view invariant; matrix factorization; hidden markov models\">\n<td>79<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Li, Xi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">View invariant human action recognition based on factorization and HMMs<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E91D, No.7, pp.1848-1854<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\">action recognition; view invariant; matrix factorization; Hidden Markov Models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/ietisy\/e91-d.7.1848\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000257930400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>80<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Wu, Jianing; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Multiple View Based 3D Object Classification Using Ensemble Learning of Local Subspaces<\/td>\n<td>19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, pp.3511-3514<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000264729001379&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"human sensing; face recognition; multi-camera system; mutual subspace method\">\n<td>81<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Li, Xi<\/td>\n<td class=\"title\">Human sensing using the mutual subspace method with multi-view images<\/td>\n<td>PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, pp.1975-1979<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">human sensing; face recognition; multi-camera system; mutual subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255608502083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"sensor network; wi-fi; field server; web; monitoring\">\n<td>82<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hirafuji, Masayuki; Yoichi, Hideo; Haoming, Hu; Fukatsu, Tokihiro; Tanaka, Kei; Kiura, Takuji; Fukui, Kazuhiro; Ninomiya, Seishi<\/td>\n<td class=\"title\">Architecture of the advanced field severs6<\/td>\n<td>PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, pp.230-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">sensor network; Wi-Fi; Field Server; Web; monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255608500044&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>83<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Yamaguchi, Osamu<\/td>\n<td class=\"title\">The kernel orthogonal mutual subspace method and its application to 3D object recognition<\/td>\n<td>COMPUTER VISION - ACCV 2007, PT II, PROCEEDINGS, Vol.4844, pp.467-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000252603100046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>84<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, K; Stenger, B; Yamaguchi, O<\/td>\n<td class=\"title\">A framework for 3D object recognition using the kernel constrained mutual subspace method<\/td>\n<td>COMPUTER VISION - ACCV 2006, PT II, Vol.3852, pp.315-324<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000235773200032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>85<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Nishiyama, M; Yamaguchi, O; Fukui, K<\/td>\n<td class=\"title\">Face recognition with the multiple constrained mutual subspace method<\/td>\n<td>AUDIO AND VIDEO BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, Vol.3546, pp.71-80<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000231117100008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"pupil contour detection; pattern recognition; edge; detection; energy minimization\">\n<td>86<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yuasa, M; Yamaguchi, O; Fukui, K<\/td>\n<td class=\"title\">Precise pupil contour detection based on minimizing the energy of pattern and edge<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E87D, No.1, pp.105-112<\/td>\n<td class=\"year\">2004<\/td>\n<td class=\"keywords\">pupil contour detection; pattern recognition; edge; detection; energy minimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000188050500015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\" data-keywords=\"\">\n<td>87<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yamaguchi, O; Fukui, K; Maeda, K<\/td>\n<td class=\"title\">Face recognition using temporal image sequence<\/td>\n<td>AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS, pp.318-323<\/td>\n<td class=\"year\">1998<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/AFGR.1998.670968\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000073666400051&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"data collaboration; federated learning; anomaly detection; double-entry bookkeeping; audit; accounting information\">\n<td>88<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Mashiko, Sota; Kawamata, Yuji; Nakayama, Tomoru; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Anomaly detection in double-entry bookkeeping data by federated learning system with non-model sharing approach<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Data collaboration; Federated learning; Anomaly detection; Double-entry bookkeeping; Audit; Accounting information<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-26120-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001626761900017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"antimicrobial peptide; deep generative networks; multi-objective trade-off; transformer; pareto front\">\n<td>89<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Li; Fu, Xiangzheng; Yang, Jiahao; Zhang, Xinyi; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang; Liu, Yiping<\/td>\n<td class=\"title\">MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.26, No.6<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">antimicrobial peptide; deep generative networks; multi-objective trade-off; Transformer; Pareto front<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbaf376\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001609977700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"peptides; biological information theory; amino acids; training; predictive models; splines (mathematics); chemicals; bioinformatics; microwave integrated circuits; computer science; kolmogorov-arnold network; multi-modality language learning; peptide prediction; interpretability\">\n<td>90<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Li; Fu, Xiangzheng; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang; Liu, Yiping<\/td>\n<td class=\"title\">PKAN: Leveraging Kolmogorov\u2013Arnold Networks and Multi-Modal Learning for Peptide Prediction With Advanced Language Models<\/td>\n<td>IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol.29, No.10, pp.7000-7009<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Peptides; Biological information theory; Amino acids; Training; Predictive models; Splines (mathematics); Chemicals; Bioinformatics; Microwave integrated circuits; Computer science; Kolmogorov-arnold network; multi-modality language learning; peptide prediction; interpretability<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/JBHI.2025.3561846\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001589866000020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"euglena; nonconventional intron; |genome editing; synthetic intron\">\n<td>91<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nomura, Toshihisa; Kim, June - Sik; Iwata, Osamu; Yamada, Koji; Atsuji, Kohei; Uehara-Yamaguchi, Yukiko; Yoshida, Takuhiro; Inoue, Komaki; Takahagi, Kotaro; Sakurai, Tetsuya; Shinozaki, Kazuo; Ito, Takuro; Suzuki, Kengo; Goda, Keisuke; Mochida, Keiichi<\/td>\n<td class=\"title\">Genetic dissection of nonconventional introns reveals codominant noncanonical splicing code in Euglena<\/td>\n<td>PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol.122, No.39<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Euglena; nonconventional intron; |genome editing; synthetic intron<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1073\/pnas.2509937122\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001589133900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>92<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Long, Changzhou; Huang, Meng; Ye, Xiucai; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Hybrid quantum-classical-quantum convolutional neural networks<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-13417-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001560945300040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"peptides; toxicity; structure; protein language model; equivariant graph neural networks\">\n<td>93<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Han, Wu; Zhan, Chao<\/td>\n<td class=\"title\">Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction<\/td>\n<td>BMC BIOLOGY, Vol.23, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Peptides; Toxicity; Structure; Protein language model; Equivariant graph neural networks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-025-02329-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001538292800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"statistical causal inference; conditional average treatment effect; privacy-preserving; distributed data; double machine learning\">\n<td>94<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Estimation of conditional average treatment effects on distributed confidential data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.296<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Statistical causal inference; Conditional average treatment effect; Privacy-preserving; Distributed data; Double machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2025.129066\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001541530000009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"single-cell transcriptomics; development-specific gene signatures; explainable gene identification; causality; association; human prefrontal cortex\">\n<td>95<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Huang, Meng; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CEGI: Causally Explainable Gene Identification Method for Unveiling Developmental Signatures in Human Prefrontal Cortex<\/td>\n<td>CURRENT BIOINFORMATICS<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Single-cell transcriptomics; development-specific gene signatures; explainable gene identification; causality; association; human prefrontal cortex<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936361195250410044441\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001532115900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"multi-omics clustering; cancer subtyping; spectral clustering; large language model\">\n<td>96<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Shi, Tianyi; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-Omics clustering by integrating clinical features from large language model<\/td>\n<td>METHODS, Vol.239, pp.64-71<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Spectral clustering; Large language model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2025.03.017\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001464548000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"propensity score matching; privacy-preserving causal inference; data collaboration framework; distributed data\">\n<td>97<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Nakayama, Tomoru; Kawamata, Yuji; Toyoda, Akihiro; Imakura, Akira; Kagawa, Rina; Sanuki, Masaru; Tsunoda, Ryoya; Yamagata, Kunihiro; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Data collaboration for causal inference from limited medical testing and medication data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Propensity score matching; Privacy-preserving causal inference; Data collaboration framework; Distributed data<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-93509-0\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001469449100048&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"infectious disease; mobility; lstm; attention; forecasting\">\n<td>98<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Wang, Yu; Ye, Xiucai; Nagahara, Larry; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Infectious disease; Mobility; LSTM; Attention; Forecasting<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-94089-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001449604200015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"rna transcriptome sequencing; deep learning; scrna-seq; spatial transcriptomics; breast cancer\">\n<td>99<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Cui, Yaxuan; Cui, Yang; Ding, Yi; Nakai, Kenta; Wei, Leyi; Le, Yuyin; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">OmniClust: A versatile clustering toolkit for single-cell and spatial transcriptomics data<\/td>\n<td>METHODS, Vol.238, pp.84-94<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">RNA transcriptome sequencing; Deep learning; scRNA-seq; Spatial transcriptomics; Breast cancer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2025.03.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001450647900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"radiation therapy; deep learning; digital pathology; cervical cancer\">\n<td>100<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Goto, Masaaki; Futamura, Yasunori; Makishima, Hirokazu; Saito, Takashi; Sakamoto, Noriaki; Iijima, Tatsuo; Tamaki, Yoshio; Okumura, Toshiyuki; Sakurai, Tetsuya; Sakurai, Hideyuki<\/td>\n<td class=\"title\">Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology<\/td>\n<td>JOURNAL OF RADIATION RESEARCH, Vol.66, No.2, pp.144-156<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">radiation therapy; deep learning; digital pathology; cervical cancer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/jrr\/rraf004\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001438584300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"cyclic peptide; peptide membrane permeability; interpretable model; deep learning\">\n<td>101<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Shang, Yifan; Yang, Xiulong; Pan, Wenqiong; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang<\/td>\n<td class=\"title\">MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model<\/td>\n<td>BMC BIOLOGY, Vol.23, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Cyclic peptide; Peptide membrane permeability; Interpretable model; Deep learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-025-02166-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001434471600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>102<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Ma, Pengsen; Yu, Zhou; Wang, Jianmin; Liu, Yuansheng; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang<\/td>\n<td class=\"title\">Image-based generation for molecule design with SketchMol<\/td>\n<td>NATURE MACHINE INTELLIGENCE, Vol.7, No.2, pp.244-255<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s42256-025-00982-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001420040800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"multi-omics clustering; contractive autoencoder; cancer subtyping\">\n<td>103<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Guo, Mengke; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping<\/td>\n<td>METHODS, Vol.233, pp.52-60<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Multi-omics clustering; Contractive autoencoder; Cancer subtyping<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2024.11.013\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001364782000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"multi-omics clustering; cancer subtyping; interpretable features; shap values; latent subspace learning\">\n<td>104<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shi, Tianyi; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning<\/td>\n<td>METHODS, Vol.231, pp.144-153<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Interpretable features; SHAP values; Latent subspace learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2024.09.014\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001332909100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"diffusion model; molecule generation; molecule optimization; autoregressive approach; gaussian noise; encode models\">\n<td>105<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Guo, Xiulan; Li, Yayang; Li, Pengyong; Li, Chunyan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.20, No.1, pp.46-58<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Diffusion model; molecule generation; molecule optimization; autoregressive approach; gaussian noise; encode models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936285493240307071916\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001319446700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"distributional optimization; moreau-yoshida envelopes; optimal transport\">\n<td>106<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nguyen, Dai Hai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems<\/td>\n<td>MACHINE LEARNING, Vol.113, No.9, pp.6697-6724<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Distributional optimization; Moreau-Yoshida envelopes; Optimal transport<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10994-024-06586-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001268884900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"rna-small molecule binding sites prediction; deep learning; capsule network; rna secondary structures\">\n<td>107<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Xi, Wenyu; Wang, Ruheng; Wang, Li; Ye, Xiucai; Liu, Mingyang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An interpretable deep learning model predicts RNA-small molecule binding sites<\/td>\n<td>FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol.159, pp.557-566<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">RNA-small molecule binding sites prediction; Deep learning; Capsule network; RNA secondary structures<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.future.2024.05.029\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001249465800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>108<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Liu, Ruijun<\/td>\n<td class=\"title\">Integrated convolution and self-attention for improving peptide toxicity prediction<\/td>\n<td>BIOINFORMATICS, Vol.40, No.5<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btae297\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001230745500003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"coding lncrnas; computational biology; computational precision health; data collection; machine learning\">\n<td>109<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Liu, Tianyuan; Qiao, Huiyuan; Wang, Zixu; Yang, Xinyan; Pan, Xianrun; Yang, Yu; Ye, Xiucai; Sakurai, Tetsuya; Lin, Hao; Zhang, Yang<\/td>\n<td class=\"title\">CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs<\/td>\n<td>ADVANCED SCIENCE, Vol.11, No.22<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">coding lncRNAs; computational biology; computational precision health; data collection; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/advs.202400009\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001199764100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>110<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Lu, Anh Khoa Augustin; Lin, Jianbo; Futamura, Yasunori; Sakurai, Tetsuya; Tamura, Ryo; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Extraction of local structure differences in silica based on unsupervised learning<\/td>\n<td>PHYSICAL CHEMISTRY CHEMICAL PHYSICS, Vol.26, No.15, pp.11657-11666<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1039\/d3cp06298h\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001195066200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"lncrna; subcellular localization; multi-label classification; bert\">\n<td>111<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Zhang, Zhao-Yue; Zhang, Zheng; Ye, Xiucai; Sakurai, Tetsuya; Lin, Hao<\/td>\n<td class=\"title\">A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens<\/td>\n<td>INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, Vol.265<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">lncRNA; Subcellular localization; Multi-label classification; BERT<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ijbiomac.2024.130659\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001219333400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>112<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network<\/td>\n<td>2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN60899.2024.10650775\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001392668200046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>113<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Liu, Tianyuan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Deciphering the Complex Characterization of Coding LncRNA<\/td>\n<td>2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN60899.2024.10650681\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001315691506057&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"spatial transcriptional expression; self-supervised autoencoder; fuzzy c-means; alzheimer's disease; gene ontology enrichment; gene-pathway analyses\">\n<td>114<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Cui, Yaxuan; Wei, Leyi; Wang, Ruheng; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.19, No.8, pp.765-776<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Spatial transcriptional expression; self-supervised autoencoder; Fuzzy C-MEANS; Alzheimer's disease; gene ontology enrichment; gene-pathway analyses<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936278884240102094058\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001307809400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"differential privacy; dimension reduction; distributed machine learning; federated learning; principal component analysis\">\n<td>115<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Toward the Application of Differential Privacy to Data Collaboration<\/td>\n<td>IEEE ACCESS, Vol.12, pp.63292-63301<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Differential privacy; dimension reduction; distributed machine learning; federated learning; principal component analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2024.3396146\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001216586000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"statistical causal inference; quasi-experiment; propensity score; distributed data; privacy-preserving method; collaborative data analysis\">\n<td>116<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative causal inference on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.244<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Statistical causal inference; Quasi-experiment; Propensity score; Distributed data; Privacy-preserving method; Collaborative data analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.123024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001149999000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"computational biology; graph neural networks; molecular fingerprints; attention mechanism\">\n<td>117<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Shida; Ye, Xiucai; Dou, Lijun; Sakurai, Tetsuya<\/td>\n<td class=\"title\">FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery<\/td>\n<td>COMPUTERS IN BIOLOGY AND MEDICINE, Vol.168<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Computational biology; Graph neural networks; Molecular fingerprints; Attention mechanism<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.107762\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001134101400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>118<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Ao, Chunyan; Sakurai, Tetsuya; Zou, Quan; Xu, Lei<\/td>\n<td class=\"title\">Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites<\/td>\n<td>BIOINFORMATICS, Vol.39, No.11<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btad627\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001096569800010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"collaborative analysis; drug discovery; federated learning; non-iid dataset; quantitative structure -activity relationship\">\n<td>119<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Huang, Dong; Ye, Xiucai; Zhang, Ying; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative analysis for drug discovery by federated learning on non-IID data<\/td>\n<td>METHODS, Vol.219, pp.1-7<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Collaborative analysis; Drug discovery; Federated learning; Non-IID dataset; Quantitative structure -activity relationship<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2023.09.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001079244300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"multi-omics clustering; cancer subtyping; latent subspace learning; incomplete multi-omics\">\n<td>120<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Shang, Yifan; Shi, Tianyi; Zhang, Weihang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-omics clustering for cancer subtyping based on latent subspace learning<\/td>\n<td>COMPUTERS IN BIOLOGY AND MEDICINE, Vol.164<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Latent subspace learning; Incomplete multi-omics<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.107223\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001048303900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>121<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Uchitachimoto, Go; Sukegawa, Noriyoshi; Kojima, Masayuki; Kagawa, Rina; Oyama, Takashi; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data collaboration analysis in predicting diabetes from a small amount of health checkup data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.13, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-023-38932-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001067878900039&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"distributional optimization; functional gradient descent; mirror descent\">\n<td>122<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nguyen, Dai Hai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains<\/td>\n<td>MACHINE LEARNING, Vol.112, No.8, pp.2845-2869<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Distributional optimization; Functional gradient descent; Mirror descent<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10994-023-06350-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001021054300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>123<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Shida; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">MRMD3.0: A Python Tool and Webserver for Dimensionality Reduction and Data Visualization via an Ensemble Strategy<\/td>\n<td>JOURNAL OF MOLECULAR BIOLOGY, Vol.435, No.14<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jmb.2023.168116\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001055302200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>124<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Lin, Jianbo; Tamura, Ryo; Futamura, Yasunori; Sakurai, Tetsuya; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces<\/td>\n<td>PHYSICAL CHEMISTRY CHEMICAL PHYSICS, Vol.25, No.27, pp.17978-17986<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1039\/d3cp01922e\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001018523400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"interpretable data collaboration analysis; anchor data; smote; privacy-preserving integrated analysis; dimensionality reduction\">\n<td>125<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Another use of SMOTE for interpretable data collaboration analysis<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.228<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Interpretable data collaboration analysis; Anchor data; SMOTE; Privacy-preserving integrated analysis; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.120385\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001001059700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"privacy-preserving analysis; multi-source data fusion; data collaboration analysis; personal information; identifiability; dimensionality reduction\">\n<td>126<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko; Fujii, Tomoya; Sakamoto, Teppei; Abe, Hiroyuki<\/td>\n<td class=\"title\">Non-readily identifiable data collaboration analysis for multiple datasets including personal information<\/td>\n<td>INFORMATION FUSION, Vol.98<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving analysis; Multi-source data fusion; Data collaboration analysis; Personal information; Identifiability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2023.101826\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001006143900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"complex moment-based eigensolver; block arnoldi iteration; generalized eigenvalue problem; nonlinear eigenvalue problem\">\n<td>127<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex moment-based eigensolver coupled with two Krylov subspaces<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.432<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Block Arnoldi iteration; Generalized eigenvalue problem; Nonlinear eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2023.115283\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000992867500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>128<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kimura, Hironobu; Fukutani, Yuma; Tsuneyoshi, Norihiro; Saito, Kodai; Hayashi, Makoto; Yamazaki, Yosuke; Torisawa, Yusuke; Sakurai, Tetsuya; Watanabe, Sono; Miyata, Kotoko; Sato, Yuka; Goto, Kumiko; Naritomi, Yoichi; Ozaki, Tohru; Yamada, Masashi; Kurachi, Kenji; Hosoya, Tomonori; Takeno, Yuriko; Nishigaki, Fusako; Tamura, Kouichi<\/td>\n<td class=\"title\">HLCN061: An \"Off-the-Shelf\" Gene Engineered Human iPSC-Derived NK Cell Product for the Treatment of Solid Tumors<\/td>\n<td>MOLECULAR THERAPY, Vol.31, No.4, pp.741-741<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001045144203317&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"5-methyluridine; support vector machines; multi-view feature; word2vec\">\n<td>129<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ao, Chunyan; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Yu, Liang<\/td>\n<td class=\"title\">m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation<\/td>\n<td>BMC BIOLOGY, Vol.21, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">5-Methyluridine; Support vector machines; Multi-view feature; Word2Vec<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-023-01596-0\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000974006900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"molecular; recurrent neural networks; language model; transformer; drug generation\">\n<td>130<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Yangyang; Wang, Zixu; Zeng, Xiangxiang; Li, Yayang; Li, Pengyong; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Molecular language models: RNNs or transformer?<\/td>\n<td>BRIEFINGS IN FUNCTIONAL GENOMICS, Vol.22, No.4, pp.392-400<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">molecular; recurrent neural Networks; language model; transformer; drug generation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bfgp\/elad012\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000972693100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>131<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Yangyang; Wang, Zixu; Wang, Lei; Wang, Jianmin; Li, Pengyong; Cao, Dongsheng; Zeng, Xiangxiang; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Deep generative model for drug design from protein target sequence<\/td>\n<td>JOURNAL OF CHEMINFORMATICS, Vol.15, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s13321-023-00702-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000962413800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"interactive genes identification; cancer subtyping; multi-omics clustering; gene co-expression network\">\n<td>132<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Shi, Tianyi; Cui, Yaxuan; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Interactive gene identification for cancer subtyping based on multi-omics clustering<\/td>\n<td>METHODS, Vol.211, pp.61-67<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Interactive genes identification; Cancer subtyping; Multi-omics clustering; Gene co-expression network<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2023.02.005\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000948122100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"single-cell rna-sequencing; feature selection; principal component analysis; highly variable gene detection; background noise; clustering analysis\">\n<td>133<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Matsuda, Momo; Futamura, Yasunori; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data<\/td>\n<td>FRONTIERS OF COMPUTER SCIENCE, Vol.17, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">single-cell RNA-sequencing; feature selection; principal component analysis; highly variable gene detection; background noise; clustering analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11704-022-1172-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000837701000018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"multi-view networks; network embedding; contrastive learning; node classification\">\n<td>134<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-view Network Embedding with Structure and Semantic Contrastive Learning<\/td>\n<td>2023 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, ICME, pp.870-875<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Multi-view Networks; Network Embedding; Contrastive Learning; Node Classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICME55011.2023.00154\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001062707300141&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>135<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Common and Unique Features Learning in Multi-view Network Embedding<\/td>\n<td>2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN54540.2023.10191682\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001046198705009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"ensemble clustering; spectral clustering; landmark selection; approximate similarity computation; large-scale clustering\">\n<td>136<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">LSEC: Large-scale spectral ensemble clustering<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.27, No.1, pp.59-77<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Ensemble clustering; spectral clustering; landmark selection; approximate similarity computation; large-scale clustering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-216240\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000925119600004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>137<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Zhang, Xin; Wei, Lesong; Ye, Xiucai; Zhang, Kai; Teng, Saisai; Li, Zhongshen; Jin, Junru; Kim, Minjae; Sakurai, Tetsuya; Cui, Lizhen; Manavalan, Balachandran; Wei, Leyi<\/td>\n<td class=\"title\">SiameseCPP: a sequence-based Siamese network to predict cell -penetrating peptides by contrastive learning<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.24, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac545\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000903059700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"privacy-preserving survival analysis; cox proportional hazards model; data collaboration framework\">\n<td>138<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Tsunoda, Ryoya; Kagawa, Rina; Yamagata, Kunihiro; Sakurai, Tetsuya<\/td>\n<td class=\"title\">DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.137<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving survival analysis; Cox proportional hazards model; Data collaboration framework<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104264\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000897576200006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"mirna; subcellular localization; deep bidirectional long short-term memory; multi-head self-attention; web server\">\n<td>139<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Zhang, Zhao-Yue; Ning, Lin; Ye, Xiucai; Yang, Yu-He; Futamura, Yasunori; Sakurai, Tetsuya; Lin, Hao<\/td>\n<td class=\"title\">iLoc-miRNA: extracellular\/intracellular miRNA prediction using deep BiLSTM with attention mechanism<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.23, No.5<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">miRNA; subcellular localization; deep bidirectional long short-term memory; multi-head self-attention; web server<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac395\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000850650800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>140<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chang, Yun-Hsuan; Vuong, Cat-Khanh; Ngo, Nhat-Hoang; Yamashita, Toshiharu; Ye, Xiucai; Futamura, Yasunori; Fukushige, Mizuho; Obata-Yasuoka, Mana; Hamada, Hiromi; Osaka, Motoo; Hiramatsu, Yuji; Sakurai, Tetsuya; Ohneda, Osamu<\/td>\n<td class=\"title\">Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b\/HIF1\u03b1 signaling pathway<\/td>\n<td>SCIENTIFIC REPORTS, Vol.12, No.1<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-022-17767-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000837764800021&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"single-cell rna-seq; dropout; imputation; low-rank matrix completion; precision medicine\">\n<td>141<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Huang, Meng; Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Missing Value Imputation With Low-Rank Matrix Completion in Single-Cell RNA-Seq Data by Considering Cell Heterogeneity<\/td>\n<td>FRONTIERS IN GENETICS, Vol.13<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">single-cell RNA-seq; dropout; imputation; low-rank matrix completion; precision medicine<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3389\/fgene.2022.952649\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000834116600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"spectral clustering; landmark selection; approximate similarity computation; large-scale clustering; large-scale datasets\">\n<td>142<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Divide-and-conquer based large-scale spectral clustering<\/td>\n<td>NEUROCOMPUTING, Vol.501, pp.664-678<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Spectral clustering; Landmark selection; Approximate similarity computation; Large-scale clustering; Large-scale datasets<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2022.06.006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000822699900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"tensor network; the higher order tensor renormalization; group; parallel computing\">\n<td>143<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Yamashita, Takumi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A parallel computing method for the higher order tensor renormalization group<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.278<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Tensor network; The higher order tensor renormalization; group; Parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2022.108423\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000809733300005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"contour-integral based eigensolver; sakurai-sugiura methods; subspace iteration\">\n<td>144<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Huber, Sarah; Futamura, Yasunori; Galgon, Martin; Imakura, Akira; Lang, Bruno; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Flexible subspace iteration with moments for an effective contour integration-based eigensolver<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.29, No.6<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">contour-integral based eigensolver; Sakurai-Sugiura methods; subspace iteration<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2447\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788801800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"reinforcement learning (rl); active feature selection; renal cell carcinoma (rcc); subtypes classification; precision medicine\">\n<td>145<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.128<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Reinforcement learning (RL); Active feature selection; Renal cell carcinoma (RCC); Subtypes classification; Precision medicine<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104049\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000780448000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"drug-target interactions prediction; deep learning; multiview network embedding\">\n<td>146<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.23, No.3<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">drug-target interactions prediction; deep learning; multiview network embedding<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac059\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000767438500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>147<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wei, Lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi<\/td>\n<td class=\"title\">ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning<\/td>\n<td>BIOINFORMATICS, Vol.38, No.6, pp.1514-1524<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btac006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000764890000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>148<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank<\/td>\n<td>BIOINFORMATICS, Vol.38, No.7, pp.1964-1971<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btac048\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000756731200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>149<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Tamura, Ryo; Matsuda, Momo; Lin, Jianbo; Futamura, Yasunori; Sakurai, Tetsuya; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations<\/td>\n<td>PHYSICAL REVIEW B, Vol.105, No.7<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevB.105.075107\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000752805300002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"program synthesis; genetic programming; knowledge; adaptation\">\n<td>150<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Yifan; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation<\/td>\n<td>PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2022, pp.554-557<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">program synthesis; genetic programming; knowledge; adaptation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3520304.3528891\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001035469400160&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"program synthesis; pushgp; adaptive replacement mutation; subprogram archive\">\n<td>151<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Yifan; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives<\/td>\n<td>2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), pp.14-21<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">program synthesis; PushGP; adaptive replacement mutation; subprogram archive<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SSCI51031.2022.10022128\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000971973800003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"privacy; dimensionality reduction; gan\">\n<td>152<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamazoe, Takaya; Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Image Data Recoverability Against Data Collaboration and Its Countermeasure<\/td>\n<td>SCIENCE OF CYBER SECURITY, SCISEC 2022 WORKSHOPS, Vol.1680, pp.3-15<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Privacy; Dimensionality reduction; GAN<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-7769-5_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000917179200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"cell-penetrating peptides; deep learning; drug penetration; transformer; feature extractor; classification\">\n<td>153<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Xue, Yuyang; Ye, Xiucai; Wei, Lesong; Zhang, Xin; Sakurai, Tetsuya; Wei, Leyi<\/td>\n<td class=\"title\">Better Performance with Transformer: CPPFormer in the Precise Prediction of Cell-penetrating Peptides<\/td>\n<td>CURRENT MEDICINAL CHEMISTRY, Vol.29, No.5, pp.881-893<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Cell-penetrating peptides; deep learning; drug penetration; transformer; feature extractor; classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0929867328666210920103140\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000759019400009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"backward error; contour integral method; linearization; polynomial eigenvalue problem; tropical scaling\">\n<td>154<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Hongjia; Zhang, Ke; Sakurai, Tetsuya<\/td>\n<td class=\"title\">The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.29, No.2<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">backward error; contour integral method; linearization; polynomial eigenvalue problem; tropical scaling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2413\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000700325300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"drug-target interaction; drug development; drug repurposing; machine learning\">\n<td>155<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Xu, Lei; Lin, Chen<\/td>\n<td class=\"title\">Current status and future prospects of drug-target interaction prediction<\/td>\n<td>BRIEFINGS IN FUNCTIONAL GENOMICS, Vol.20, No.5, pp.312-322<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">drug-target interaction; drug development; drug repurposing; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bfgp\/elab031\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000743509700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"collaborat i v e data analysis; distributed data; interpretability; dimensionality reduction\">\n<td>156<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Inaba, Hiroaki; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Interpretable collaborative data analysis on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.177<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborat i v e data analysis; Distributed data; Interpretability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2021.114891\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000663298900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>157<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wei, Lesong; Ye, Xiucai; Xue, Yuyang; Sakurai, Tetsuya; Wei, Leyi<\/td>\n<td class=\"title\">ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.22, No.5<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbab041\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000709461800078&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"ltr; bioinformatics; multiple research tasks\">\n<td>158<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">Application of learning to rank in bioinformatics tasks<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.22, No.5<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">LTR; bioinformatics; multiple research tasks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbaa394\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000709461800011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"novelty detection; distributed data; collaborative data analysis framework; intermediate representation; collaborative kernel\">\n<td>159<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Novelty Detection for Distributed Data by a Probabilistic Method<\/td>\n<td>ASIAN CONFERENCE ON MACHINE LEARNING, VOL 157, Vol.157, pp.932-947<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Novelty detection; Distributed data; Collaborative data analysis framework; Intermediate representation; Collaborative kernel<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001230093100061&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"moea\/d; auto adaptation; weight vectors; multi objective optimization\">\n<td>160<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kobayashi, Yuta; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Dynamic Adaptation of Decomposition Vector Set Size for MOEA\/D<\/td>\n<td>PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2021 COMPANION, pp.181-182<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">MOEA\/D; Auto Adaptation; Weight Vectors; Multi Objective Optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3449726.3459453\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001556500100091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"graph partitioning; spectral method; shared-memory parallel algorithm\">\n<td>161<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Wakaki, Ryota; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Graph Partitioning Using Geodesic Distance-based Projection<\/td>\n<td>2021 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC)<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">graph partitioning; spectral method; shared-memory parallel algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/HPEC49654.2021.9622831\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000766311400049&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>162<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Clustering Joint Deep Embedding Learning by Autoencoder<\/td>\n<td>2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN52387.2021.9533825\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000722581704031&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"batch effects; spectral clustering; scaling adjustment; dimensionality reduction; microarray; single-cell rna-seq\">\n<td>163<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.16, No.4, pp.505-511<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Batch effects; spectral clustering; scaling adjustment; dimensionality reduction; microarray; single-cell RNA-seq<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/1574893615999200818093540\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000669437400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"deep neural networks; high performance; nonlinear semi-nonnegative matrix factorization; backpropagation\">\n<td>164<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Baek, Suhyeon; Imakura, Akira; Sakurai, Tetsuya; Kataoka, Ichiro<\/td>\n<td class=\"title\">Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.1-13<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Deep neural networks; High performance; Nonlinear semi-nonnegative matrix factorization; Backpropagation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"collaborative data analysis; distributed data; classification; dimensionality reduction\">\n<td>165<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.14-29<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborative data analysis; Distributed data; Classification; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>166<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Bogdanova, Anna; Attoh-Okine, Nii; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Risk and Advantages of Federated Learning for Health Care Data Collaboration<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.3<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001078\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000618621100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"single-cell rna-seq; machine learning; interactive gene groups; co-expression networks; subgraph learning\">\n<td>167<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Zhang, Weihang; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning<\/td>\n<td>CELLS, Vol.9, No.9<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">single-cell RNA-seq; machine learning; interactive gene groups; co-expression networks; subgraph learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/cells9091938\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000586092200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"imbalanced data; oversampling; smote; laplacian eigenmaps\">\n<td>168<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An oversampling framework for imbalanced classification based on Laplacian eigenmaps<\/td>\n<td>NEUROCOMPUTING, Vol.399, pp.107-116<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Imbalanced data; Oversampling; SMOTE; Laplacian eigenmaps<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2020.02.081\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000536805700010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>169<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Anomaly Detection in Large Graphs Using a Complex Moment-Based Eigenvalue Solver<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001054\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"data collaboration analysis; distributed data sets; intermediate representation\">\n<td>170<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Data collaboration analysis; Distributed data sets; Intermediate representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001058\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"automatic algorithm generation; training scheduling; meta-heuristic; hyper-heuristic; grammatical evolution\">\n<td>171<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Pereira, Jair, Jr.; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design<\/td>\n<td>2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">automatic algorithm generation; training scheduling; meta-heuristic; hyper-heuristic; grammatical evolution<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000703998202064&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"sparse generalized eigenvalue problem; contour integral-based solver; block krylov subspace method; shift-invert preconditioning\">\n<td>172<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning<\/td>\n<td>PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING IN ASIA-PACIFIC REGION (HPC ASIA 2021), pp.90-99<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">sparse generalized eigenvalue problem; contour integral-based solver; block Krylov subspace method; shift-invert preconditioning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3432261.3432269\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000682970300010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"dimensionality reduction; complex moment-based method; parallel computing\">\n<td>173<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace<\/td>\n<td>PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING IN ASIA-PACIFIC REGION (HPC ASIA 2021), pp.83-89<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">dimensionality reduction; complex moment-based method; parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3432261.3432267\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000682970300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"spectral clustering; sampling methods; nystrom method; hubness score\">\n<td>174<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Hubness-based Sampling Method for Nystrom Spectral Clustering<\/td>\n<td>2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Spectral clustering; Sampling methods; Nystrom method; Hubness score<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000626021403124&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"ensemble clustering; spectral clustering; graph laplacian\">\n<td>175<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Ensemble Learning for Spectral Clustering<\/td>\n<td>20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020), pp.1094-1099<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Ensemble clustering; Spectral clustering; Graph Laplacian<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICDM50108.2020.00131\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000630177700121&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"dimensionality reduction; spectral clustering; feature scaling; machine learning\">\n<td>176<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Matsuda, Momo; Morikuni, Keiichi; Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multiclass spectral feature scaling method for dimensionality reduction<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.24, No.6, pp.1273-1287<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Dimensionality reduction; spectral clustering; feature scaling; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-194942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000603258100004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"unsupervised feature selection; non-small-cell lung cancer; subtype classification\">\n<td>177<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Zhang, Weihang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer<\/td>\n<td>IEEE ACCESS, Vol.8, pp.154354-154362<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Unsupervised feature selection; non-small-cell lung cancer; subtype classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2020.3018480\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000566098800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"backward error; growth factor; heavily damped qep; linearizations\">\n<td>178<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Hongjia; Meng, Jie; Sakurai, Tetsuya; Wang, Xiang<\/td>\n<td class=\"title\">Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.26, No.4<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">backward error; growth factor; heavily damped QEP; linearizations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2253\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000474224800011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"elpa-aeo; essex; eigensolver; parallel; mixed precision\">\n<td>179<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Alvermann, Andreas; Basermann, Achim; Bungartz, Hans-Joachim; Carbogno, Christian; Ernst, Dominik; Fehske, Holger; Futamura, Yasunori; Galgon, Martin; Hager, Georg; Huber, Sarah; Huckle, Thomas; Ida, Akihiro; Imakura, Akira; Kawai, Masatoshi; Koecher, Simone; Kreutzer, Moritz; Kus, Pavel; Lang, Bruno; Lederer, Hermann; Manin, Valeriy; Marek, Andreas; Nakajima, Kengo; Nemec, Lydia; Reuter, Karsten; Rippl, Michael; Roehrig-Zoellner, Melven; Sakurai, Tetsuya; Scheffler, Matthias; Scheurer, Christoph; Shahzad, Faisal; Brambila, Danilo Simoes; Thies, Jonas; Wellein, Gerhard<\/td>\n<td class=\"title\">Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.699-717<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">ELPA-AEO; ESSEX; Eigensolver; Parallel; Mixed precision<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00360-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>180<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Imamura, Toshiyuki; Nakajima, Kengo<\/td>\n<td class=\"title\">International workshop on eigenvalue problems: algorithms; software and applications, in petascale computing (EPASA2018)<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.561-562<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00367-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"simultaneous band reduction; dense symmetric matrices; matrix pencil; wy representation\">\n<td>181<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Du, Lei; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Simultaneous band reduction of two symmetric matrices<\/td>\n<td>COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS, Vol.77, No.8, pp.2207-2220<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Simultaneous band reduction; Dense symmetric matrices; Matrix pencil; WY representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2018.12.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000463303000012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>182<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Distributed Collaborative Feature Selection Based on Intermediate Representation<\/td>\n<td>PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.4142-4149<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000761735104041&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>183<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction<\/td>\n<td>THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE \/ THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE \/ NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, pp.3910-3918<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000485292603114&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"secondary cancer; risk factors; class imbalance; patient heterogeneity; spectral clustering; ensemble learning\">\n<td>184<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei<\/td>\n<td class=\"title\">Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer<\/td>\n<td>INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, Vol.16, No.7, pp.949-959<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">secondary cancer; risk factors; class imbalance; patient heterogeneity; spectral clustering; ensemble learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7150\/ijms.33820\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000476634100005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"deep neural networks; nonlinear semi-nonnegative matrix factorizations; parallel implementation\">\n<td>185<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Inoue, Yuto; Sakurai, Tetsuya; Futamura, Yasunori<\/td>\n<td class=\"title\">Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.47, No.3, pp.815-827<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Deep neural networks; Nonlinear semi-nonnegative matrix factorizations; Parallel implementation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-017-9642-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000434268000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>186<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Tsukamoto, Shigeru; Ono, Tomoya<\/td>\n<td class=\"title\">Contour integral method for obtaining the self-energy matrices of electrodes in electron transport calculations<\/td>\n<td>PHYSICAL REVIEW B, Vol.97, No.19<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevB.97.195449\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000433287800012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"nonlinear eigenvalue problem; complex moment-based eigensolver; block communication-avoiding arnoldi; block krylov subspace\">\n<td>187<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure<\/td>\n<td>PARALLEL COMPUTING, Vol.74, pp.34-48<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Nonlinear eigenvalue problem; Complex moment-based eigensolver; Block communication-avoiding Arnoldi; Block Krylov subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.parco.2017.11.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000428486900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>188<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Matsuda, Momo; Morikuni, Keiichi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Feature Scaling Method for Supervised Dimensionality Reduction<\/td>\n<td>PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.2560-2566<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000764175402098&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>189<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Lavinas, Yuri; Aranha, Claus; Sakurai, Tetsuya; Ladeira, Marcelo<\/td>\n<td class=\"title\">Experimental Analysis of the Tournament Size on Genetic Algorithms<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3647-3653<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00617\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884803112&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"large scale; spectral clustering; sparse presentation; hubness\">\n<td>190<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Liu, Zhi<\/td>\n<td class=\"title\">Large Scale Spectral Clustering Using Sparse Representation Based on Hubness<\/td>\n<td>2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE &amp; COMPUTING, ADVANCED &amp; TRUSTED COMPUTING, SCALABLE COMPUTING &amp; COMMUNICATIONS, CLOUD &amp; BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD\/SCALCOM\/UIC\/ATC\/CBDCOM\/IOP\/SCI), pp.1731-1737<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">large scale; spectral clustering; sparse presentation; hubness<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SmartWorld.2018.00293\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458742900257&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"tensor renormalization group (trg); randomized singular value decomposition; cutoff\">\n<td>191<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.61-64<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">tensor renormalization group (TRG); randomized singular value decomposition; cutoff<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.61\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"generalized eigenvalue problem; dense matrix; contour integral method; block krylov subspace method; distributed computing\">\n<td>192<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.77-80<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">generalized eigenvalue problem; dense matrix; contour integral method; block Krylov subspace method; distributed computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.77\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"tensor network; higher-order tensor renormalization group (hotrg); optimization for reordering procedures; 3d classical cubic lattice ising model; distributed parallel computing\">\n<td>193<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Imamura, Toshiyuki; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Optimization of reordering procedures in HOTRG for distributed parallel computing<\/td>\n<td>2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018), pp.957-966<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Tensor network; Higher-order tensor renormalization group (HOTRG); Optimization for reordering procedures; 3D classical cubic lattice Ising model; Distributed parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IPDPSW.2018.00150\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000541051600108&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"unsupervised feature selection; structure learning; local regression; discriminant analysis; gene selection; microarray gene expression data.\">\n<td>194<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning<\/td>\n<td>JOURNAL OF UNIVERSAL COMPUTER SCIENCE, Vol.24, No.6, pp.725-741<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">unsupervised feature selection; structure learning; local regression; discriminant analysis; gene selection; microarray gene expression data.<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000440319400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"spectral clustering; kernel space; similarity measure; adaptive neighbors; local structure\">\n<td>195<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral clustering with adaptive similarity measure in Kernel space<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.22, No.4, pp.751-765<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Spectral clustering; Kernel space; similarity measure; adaptive neighbors; local structure<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-173436\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000437253200005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"block ss-hankel method; structure-preserving; hermitian generalized eigenvalue problem\">\n<td>196<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems<\/td>\n<td>PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I, Vol.10777, pp.600-611<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Block SS-Hankel method; Structure-preserving; Hermitian generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-78024-5_52\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458563300052&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>197<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nakata, Ayako; Futamura, Yasunori; Sakurai, Tetsuya; Bowler, David R.; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Efficient Calculation of Electronic Structure Using O(N) Density Functional Theory<\/td>\n<td>JOURNAL OF CHEMICAL THEORY AND COMPUTATION, Vol.13, No.9, pp.4146-4153<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1021\/acs.jctc.7b00385\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000410867500018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>198<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Chen, Hongjia; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Improving backward stability of Sakurai-Sugiura method with balancing technique in polynomial eigenvalue problem<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.357-375<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0016-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>199<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Futamura, Yasunori; Yano, Takahiro; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A real-valued block conjugate gradient type method for solving complex symmetric linear systems with multiple right-hand sides<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.333-355<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0023-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"complex moment-based eigensolver; generalized eigenvalue problem; block krylov subspace method\">\n<td>200<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.75, No.2, pp.413-433<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Generalized eigenvalue problem; Block Krylov subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-016-0241-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402080400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"eigenvalue problems; nonlinear solvers; rayleigh-ritz procedure; finite element methods; boundary element methods\">\n<td>201<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Xiao, Jinyou; Zhang, Chuanzeng; Huang, Tsung-Ming; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Solving large-scale nonlinear eigenvalue problems by rational interpolation and resolvent sampling based Rayleigh-Ritz method<\/td>\n<td>INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, Vol.110, No.8, pp.776-800<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">eigenvalue problems; nonlinear solvers; Rayleigh-Ritz procedure; finite element methods; boundary element methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nme.5441\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000399703600004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>202<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Reduced-Shifted Conjugate-Gradient Method for a Green's Function: Efficient Numerical Approach in a Nano-Structured Superconductor<\/td>\n<td>JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Vol.86, No.1<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSJ.86.014708\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000391858100026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"complex band structure; sakurai-sugiura method; oakforest-pacs; quadratic eigenvalue problem; density functional theory; carbon nanotube\">\n<td>203<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Ono, Tomoya<\/td>\n<td class=\"title\">Efficient and Scalable Calculation of Complex Band Structure using Sakurai-Sugiura Method<\/td>\n<td>SC'17: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex band structure; Sakurai-Sugiura method; Oakforest-PACS; Quadratic eigenvalue problem; Density functional theory; Carbon nanotube<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3126908.3126942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458161700040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>204<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An Error Resilience Strategy of a Complex Moment-Based Eigensolver<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.1-18<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>205<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Memory-Saving Technique for the Sakurai-Sugiura Eigenvalue Solver Using the Shifted Block Conjugate Gradient Method<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.187-203<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_13\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>206<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Suno, Hiroya; Nakamura, Yoshifumi; Ishikawa, Ken-Ichi; Kuramashi, Yoshinobu; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Eigenspectrum Calculation of the <i>O<\/i>(<i>a<\/i>)-Improved Wilson-Dirac Operator in Lattice QCD Using the Sakurai-Sugiura Method<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.81-90<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>207<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Maeda, Yasuyuki; Sakurai, Tetsuya; Charles, James; Povolotskyi, Michael; Klimeck, Gerhard; Roman, Jose E.<\/td>\n<td class=\"title\">Numerical Integral Eigensolver for a Ring Region on the Complex Plane<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.19-30<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"ss-rr method; quadratic eigenvalue problem; backward error\">\n<td>208<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Chen, Hongjia; Maeda, Yasuyuki; Imakura, Akira; Sakurai, Tetsuya; Tisseur, Francoise<\/td>\n<td class=\"title\">Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.9, pp.17-20<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">SS-RR method; quadratic eigenvalue problem; backward error<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.9.17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000429566000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>209<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ide, Takanori; Inoue, Yuto; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Highly Parallel Computation of Generalized Eigenvalue Problem in Vibration for Automatic Transmission of Vehicles Using the Sakurai-Sugiura Method and Supercomputers<\/td>\n<td>MATHEMATICAL ANALYSIS OF CONTINUUM MECHANICS AND INDUSTRIAL APPLICATIONS, Vol.26, pp.207-218<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-10-2633-1_16\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000398840400016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"generalized eigenvalue problems; contour integral-based eigensolvers; projection methods\">\n<td>210<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Relationships among contour integral-based methods for solving generalized eigenvalue problems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.33, No.3, pp.721-750<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral-based eigensolvers; Projection methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-016-0224-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389894100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"spectral clustering; data analysis; similarity measure; shared nearest neighbors; directed knn graph\">\n<td>211<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors<\/td>\n<td>ETRI JOURNAL, Vol.38, No.3, pp.540-550<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Spectral clustering; data analysis; similarity measure; shared nearest neighbors; directed kNN graph<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4218\/etrij.16.0115.0517\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000377082900015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"nuclear level density; nuclear shell model; conjugate gradient method; parity dependence\">\n<td>212<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shimizu, Noritaka; Utsuno, Yutaka; Futamura, Yasunori; Sakurai, Tetsuya; Mizusaki, Takahiro; Otsuka, Takaharu<\/td>\n<td class=\"title\">Stochastic estimation of nuclear level density in the nuclear shell model: An application to parity-dependent level density in <SUP>58<\/SUP>Ni<\/td>\n<td>PHYSICS LETTERS B, Vol.753, pp.13-17<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Nuclear level density; Nuclear shell model; Conjugate gradient method; Parity dependence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.physletb.2015.12.005\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368783600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"nonnegative matrix factorizations; alternating optimization method; deep neural networks\">\n<td>213<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Sakurai, Tetsuya; Imakura, Akira; Inoue, Yuto; Futamura, Yasunori<\/td>\n<td class=\"title\">Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks<\/td>\n<td>NEURAL INFORMATION PROCESSING, ICONIP 2016, PT IV, Vol.9950, pp.354-362<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Nonnegative matrix factorizations; Alternating optimization method; Deep neural networks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-46681-1_43\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389804700043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>214<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shimizu, Noritaka; Utsuno, Yutaka; Futamura, Yasunori; Sakurai, Tetsuya; Mizusaki, Takahiro; Otsuka, Takaharu<\/td>\n<td class=\"title\">Stochastic estimation of level density in nuclear shell-model calculations<\/td>\n<td>CNR*15 - 5TH INTERNATIONAL WORKSHOP ON COMPOUND-NUCLEAR REACTIONS AND RELATED TOPICS, Vol.122<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1051\/epjconf\/201612202003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389877200016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"error bounds; contour integral-based eigensolver; rayleigh-ritz procedure; generalized eigenvalue problem\">\n<td>215<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.71, No.1, pp.103-120<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Error bounds; Contour integral-based eigensolver; Rayleigh-Ritz procedure; Generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-015-9987-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000369063900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>216<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors<\/td>\n<td>2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000370730601066&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\" data-keywords=\"generalized eigenvalue problems; contour integral spectral projection; krylov subspace; block arnoldi method\">\n<td>217<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems<\/td>\n<td>APPLIED MATHEMATICS LETTERS, Vol.32, pp.22-27<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral spectral projection; Krylov subspace; Block Arnoldi method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aml.2014.02.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000335102000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"block bilinear form; block conjugate gradient (cg); block bicg; krylov subspace methods\">\n<td>218<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Du, Lei; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block conjugate gradient type methods for the approximation of bilinear form <i>C<SUP>H<\/SUP>A<\/i><SUP>-1<\/SUP><i>B<\/i><\/td>\n<td>COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS, Vol.66, No.12, pp.2446-2455<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Block bilinear form; Block conjugate gradient (CG); Block BiCG; Krylov subspace methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2013.09.023\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000328311500003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>219<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Futamura, Yasunori; Tadano, Hiroto<\/td>\n<td class=\"title\">Efficient Parameter Estimation and Implementation of a Contour Integral-Based Eigensolver<\/td>\n<td>JOURNAL OF ALGORITHMS &amp; COMPUTATIONAL TECHNOLOGY, Vol.7, No.3, pp.249-269<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1260\/1748-3018.7.3.249\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000434722500002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"superconductivity; bogoliubov-de gennes equations; eigenvalue solver\">\n<td>220<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Ota, Yukihiro; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Numerical Construction of a Low-Energy Effective Hamiltonian in a Self-Consistent Bogoliubov-de Gennes Approach of Superconductivity<\/td>\n<td>JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Vol.82, No.9<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">superconductivity; Bogoliubov-de Gennes equations; eigenvalue solver<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSJ.82.094701\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000323819500025&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"parallel eigensolvers; cauchy integral; thick restart lanczos; accelerator cavity modeling\">\n<td>221<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Yamazaki, Ichitaro; Tadano, Hiroto; Sakurai, Tetsuya; Ikegami, Tsutomu<\/td>\n<td class=\"title\">Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method<\/td>\n<td>PARALLEL COMPUTING, Vol.39, No.6-7, pp.280-290<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">Parallel eigensolvers; Cauchy integral; Thick restart Lanczos; Accelerator cavity modeling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.parco.2012.04.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000320680300004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>222<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-GPU scalable implementation of a contour-integral-based eigensolver for real symmetric dense generalized eigenvalue problems<\/td>\n<td>2013 EIGHTH INTERNATIONAL CONFERENCE ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC 2013), pp.121-127<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/3PGCIC.2013.24\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000329179100017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>223<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya; Furuya, Shinnosuke; Iwata, Jun-Ichi<\/td>\n<td class=\"title\">Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations<\/td>\n<td>HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2012, Vol.7851, pp.226-235<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000342997100023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"lattice gauge theory; lattice dirac equation; multiple right-hand sides; block krylov subspace; domain decomposition\">\n<td>224<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nakamura, Y.; Ishikawa, K. -I.; Kuramashi, Y.; Sakurai, T.; Tadano, H.<\/td>\n<td class=\"title\">Modified block BiCGSTAB for lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.183, No.1, pp.34-37<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace; Domain decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2011.08.010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000297494600007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>225<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Mizusaki, Takahiro; Kaneko, Kazunari; Honma, Michio; Sakurai, Tetsuya<\/td>\n<td class=\"title\">FILTER DIAGONALIZATION: A NEW METHOD FOR LARGE-SCALE SHELL-MODEL CALCULATIONS<\/td>\n<td>ACTA PHYSICA POLONICA B, Vol.42, No.3-4, pp.447-450<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5506\/APhysPolB.42.447\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000289009300008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"parallel fock matrix construction; fmo-mo method; distributed shared memory; large mo calculation; sakurai sugiura method\">\n<td>226<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Yagi, Toru; Ishimoto, Takayoshi; Ikegami, Tsutomu; Tadano, Hiroto; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">Parallel Fock Matrix Construction with Distributed Shared Memory Model for the FMO-MO Method<\/td>\n<td>JOURNAL OF COMPUTATIONAL CHEMISTRY, Vol.31, No.13, pp.2381-2388<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">parallel Fock matrix construction; FMO-MO method; distributed shared memory; large MO calculation; Sakurai Sugiura method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/jcc.21531\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280890700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>227<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Mizusaki, Takahiro; Kaneko, Kazunari; Honma, Michio; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Filter diagonalization of shell-model calculations<\/td>\n<td>PHYSICAL REVIEW C, Vol.82, No.2<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevC.82.024310\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280817700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"polynomial eigenvalue problem; matrix polynomial; contour integral; projection method\">\n<td>228<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Asakura, Junko; Sakurai, Tetsuya; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji<\/td>\n<td class=\"title\">A numerical method for polynomial eigenvalue problems using contour integral<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.27, No.1, pp.73-90<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Polynomial eigenvalue problem; Matrix polynomial; Contour integral; Projection method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-010-0005-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280559600006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"eigenvalue distribution; profiling eigenvalues; algebraic sub-structuring; cirr\">\n<td>229<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Senzaki, Kenta; Tadano, Hiroto; Sakurai, Tetsuya; Bai, Zhaojun<\/td>\n<td class=\"title\">A METHOD FOR PROFILING THE DISTRIBUTION OF EIGENVALUES USING THE AS METHOD<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.839-853<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Eigenvalue distribution; Profiling eigenvalues; Algebraic sub-structuring; CIRR<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405870\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"interior eigenvalue problems; contour integration; rayleigh-ritz procedure; biochemistry application\">\n<td>230<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Tadano, Hiroto; Ikegami, Tsutomu; Nagashima, Umpei<\/td>\n<td class=\"title\">A PARALLEL EIGENSOLVER USING CONTOUR INTEGRATION FOR GENERALIZED EIGENVALUE PROBLEMS IN MOLECULAR SIMULATION<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.855-867<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Interior eigenvalue problems; Contour integration; Rayleigh-Ritz procedure; Biochemistry application<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405871\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"generalized eigenvalue problem; contour integral eigensolver; spectral projection; filter diagonalization\">\n<td>231<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CONTOUR INTEGRAL EIGENSOLVER FOR NON-HERMITIAN SYSTEMS: A RAYLEIGH-RITZ-TYPE APPROACH<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.825-837<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Contour integral eigensolver; Spectral projection; Filter diagonalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405869\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>232<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Schmutz, Jeremy; Cannon, Steven B.; Schlueter, Jessica; Ma, Jianxin; Mitros, Therese; Nelson, William; Hyten, David L.; Song, Qijian; Thelen, Jay J.; Cheng, Jianlin; Xu, Dong; Hellsten, Uffe; May, Gregory D.; Yu, Yeisoo; Sakurai, Tetsuya; Umezawa, Taishi; Bhattacharyya, Madan K.; Sandhu, Devinder; Valliyodan, Babu; Lindquist, Erika; Peto, Myron; Grant, David; Shu, Shengqiang; Goodstein, David; Barry, Kerrie; Futrell-Griggs, Montona; Abernathy, Brian; Du, Jianchang; Tian, Zhixi; Zhu, Liucun; Gill, Navdeep; Joshi, Trupti; Libault, Marc; Sethuraman, Anand; Zhang, Xue-Cheng; Shinozaki, Kazuo; Nguyen, Henry T.; Wing, Rod A.; Cregan, Perry; Specht, James; Grimwood, Jane; Rokhsar, Dan; Stacey, Gary; Shoemaker, Randy C.; Jackson, Scott A.<\/td>\n<td class=\"title\">Genome sequence of the palaeopolyploid soybean (vol 463, pg 178, 2010)<\/td>\n<td>NATURE, Vol.465, No.7294, pp.120-120<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/nature08957\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000277311900043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"lattice gauge theory; lattice dirac equation; multiple right-hand sides; block krylov subspace; preconditioning\">\n<td>233<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Tadano, H.; Kuramashi, Y.; Sakurai, T.<\/td>\n<td class=\"title\">Application of preconditioned block BiCGGR to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.181, No.5, pp.883-886<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace; Preconditioning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2009.12.025\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000276430000008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"generalized eigenvalue problem; spectral projection; filter diagonalization\">\n<td>234<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.233, No.8, pp.1927-1936<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Spectral projection; Filter diagonalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2009.09.029\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273250300020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"eigenproblem; non-linear; numerical method; contour integral\">\n<td>235<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya; Tadano, Hiroto<\/td>\n<td class=\"title\">Parallel Eigensolver for Large Scale Non-linear Systems<\/td>\n<td>NUMERICAL ANALYSIS AND APPLIED MATHEMATICS, VOLS I-III, Vol.1281, pp.941-+<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">eigenproblem; non-linear; numerical method; contour integral<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1063\/1.3498649\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000289661500250&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"lattice gauge theory; lattice dirac equation; multiple right-hand sides; block krylov subspace\">\n<td>236<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, T.; Tadano, H.; Kuramashi, Y.<\/td>\n<td class=\"title\">Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.181, No.1, pp.113-117<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2009.09.006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273168600015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"nonlinear eigenvalue problems; contour integral; dixon resultant; hankel matrix\">\n<td>237<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Asakura, Junko; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji<\/td>\n<td class=\"title\">A Method for Finding Zeros of Polynomial Equations using a Contour Integral Based Eigensolver<\/td>\n<td>SNC'09: PROCEEDINGS OF THE 2009 INTERNATIONAL WORKSHOP ON SYMBOLIC-NUMERIC COMPUTATION, pp.143-147<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">Nonlinear eigenvalue problems; Contour integral; Dixon resultant; Hankel matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273427300021&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"generalized eigenvalue problems; gridrpc; master-worker type method\">\n<td>238<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Takahashi, Daisuke; Sato, Mitsuhisa; Nagashima, Umpei<\/td>\n<td class=\"title\">A parallel method for large sparse generalized eigenvalue problems using a GridRPC system<\/td>\n<td>FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol.24, No.6, pp.613-619<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\">generalized eigenvalue problems; GridRPC; master-worker type method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.future.2008.01.002\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255841300013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>239<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Tadano, Hiroto; Sakurai, Tetsuya<\/td>\n<td class=\"title\">On single precision preconditioners for Krylov subspace iterative methods<\/td>\n<td>LARGE-SCALE SCIENTIFIC COMPUTING, Vol.4818, pp.721-+<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-540-78827-0_83\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000254817600083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"fragment molecular orbital method; large scale molecule; parallel processing; lysozyme; model dna\">\n<td>240<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Watanabe, Toshio; Inadomi, Yuichi; Ishimoto, Takayoshi; Umeda, Hiroaki; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">Molecular Orbital Calculation for Large Molecule<\/td>\n<td>JOURNAL OF COMPUTER CHEMISTRY-JAPAN, Vol.6, No.3, pp.217-225<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">Fragment Molecular Orbital method; Large scale molecule; Parallel processing; Lysozyme; Model DNA<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2477\/jccj.6.217\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000436750100007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>241<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nagashima, Umpei; Watanabe, Toshio; Inadomi, Yuichi; Umeda, Hiroaki; Ishimoto, Takayoshi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Molecular orbital of fragment molecular orbital method with Sakurai-Sugiura method on grid computing environment<\/td>\n<td>ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, Vol.233, pp.21-21<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000207722802019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"verified method; cluster of zeros; interval arithmetic; analytic functions; rouche's theorem\">\n<td>242<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Niu, Xiao-Ming; Sakurai, Tetsuya; Sugiura, Hiroshi<\/td>\n<td class=\"title\">A verified method for bounding clusters of zeros of analytic functions<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.199, No.2, pp.263-270<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">verified method; cluster of zeros; interval arithmetic; analytic functions; Rouche's theorem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2005.08.038\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000243812400011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>243<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Nagashima, Umpei<\/td>\n<td class=\"title\">A master-worker type eigensolver for molecular orbital computations<\/td>\n<td>APPLIED PARALLEL COMPUTING, Vol.4699, pp.617-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000250904900074&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>244<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kishimoto, Sadaya; Murakata, Mamoru; Nakanishi, Takafumi; Sakurai, Tetsuya; Kitagawa, Takashi<\/td>\n<td class=\"title\">Problem-solving support system for mathematical sciences<\/td>\n<td>2007 IEEE INTERNATIONAL WORKSHOP ON DATABASES FOR NEXT GENERATION RESEARCHERS, pp.79-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SWOD.2007.353202\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000248568300014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"mathematical expression; similarity expression search; semantic associative search; integrated associative search; mathematical model of meaning\">\n<td>245<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kishimoto, Sadaya; Nakanishi, Takafumi; Murakata, Mamoru; Otsuka, Toru; Sakurai, Tetsuya; Kitagawa, Takashi<\/td>\n<td class=\"title\">An implementation method of an integrated associative search for mathematical expressions<\/td>\n<td>PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON DATABASES AND APPLICATIONS, pp.160-+<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">mathematical expression; similarity expression search; semantic associative search; integrated associative search; mathematical model of meaning<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000239784600024&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>246<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Aida, Yoshiaki; Nakajima, Yoshihiro; Sato, Mitsuhisa; Sakurai, Tetsuya; Takahashi, Daisuke; Boku, Taisuke<\/td>\n<td class=\"title\">Performance improvement by data management layer in a grid RPC system<\/td>\n<td>ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS, Vol.3947, pp.324-335<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237540300033&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>247<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Hayakawa, Kentaro; Sato, Mitsuhisa; Takahashi, Daisuke<\/td>\n<td class=\"title\">A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment<\/td>\n<td>APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING, Vol.3732, pp.1151-1158<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237003200138&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>248<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, T; Kodaki, Y; Umeda, H; Inadomi, Y; Watanabe, T; Nagashima, U<\/td>\n<td class=\"title\">A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G\/MPI<\/td>\n<td>LARGE-SCALE SCIENTIFIC COMPUTING, Vol.3743, pp.438-445<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/11666806_50\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000236456400050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\" data-keywords=\"\">\n<td>249<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nakanishi, T; Kishimoto, S; Sakurai, T; Kitagawa, T<\/td>\n<td class=\"title\">A construction method of a metadata space based on relations between words from an index of a book<\/td>\n<td>2005 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), pp.438-441<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000234267800111&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"driving automation; supervisory attention; eye tracking; markov chain; takeover performance; human-machine interface\">\n<td>250<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Chouchane, Hanna; Lee, Jooheong; Sakamura, Yuki; Nakamura, Hiroki; Abe, Genya; Itoh, Makoto<\/td>\n<td class=\"title\">Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis<\/td>\n<td>APPLIED SCIENCES-BASEL, Vol.16, No.3<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">driving automation; supervisory attention; eye tracking; Markov chain; takeover performance; human-machine interface<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/app16031401\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001687538100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>251<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Ayato; Saito, Yuichi; Yano, Hiroaki; Yabe, Takuma; Itoh, Makoto<\/td>\n<td class=\"title\">How Do Pedestrians Perceive the Risk Against an Oncoming Autonomous Vehicle? Visualization of the Pedestrian's Risk Field<\/td>\n<td>TRANSPORTATION RESEARCH RECORD<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/03611981251375018\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001597628700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving; human out of the loop; verbal communication; control transition; driver behavior\">\n<td>252<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Ichinose, Yusaku; Sato, Toshihisa; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation<\/td>\n<td>TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, Vol.33<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Automated driving; Human out of the loop; Verbal communication; Control transition; Driver behavior<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trip.2025.101593\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001566018200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-automation trust; affect-based initial trust; faith; video introduction; plain text introduction\">\n<td>253<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Yang, Fan; Zhou, Huiping; Li, Xintong; Itoh, Makoto<\/td>\n<td class=\"title\">Using Video Introduction to Mitigate Affect-Based Initial Trust in Automation<\/td>\n<td>JAPANESE PSYCHOLOGICAL RESEARCH<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">human-automation trust; affect-based initial trust; faith; video introduction; plain text introduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1111\/jpr.12586\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001422886800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-automation trust; chinese cultural context; measurement tool; trust development stages; reliability and validity\">\n<td>254<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Zhuang, Xiangling; Lee, Seul Chan; Lee, Jieun; Li, Xintong; Itoh, Makoto<\/td>\n<td class=\"title\">Developing and validating a Chinese human-automation trust scale: Advancing trust measurement of emerging automation in sustainable ergonomics<\/td>\n<td>APPLIED ERGONOMICS, Vol.125<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Human-automation trust; Chinese cultural context; Measurement tool; Trust development stages; Reliability and validity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2025.104477\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001424686900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"flight deck display format; mathematical optimization; cognitive engineering approach\">\n<td>255<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yamai, Yoichi; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Optimization of Flight Deck Display Format Using Integer Linear Programming to Enhance Pilot Performance<\/td>\n<td>2025 AIAA DATC\/IEEE 44TH DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Flight Deck Display Format; Mathematical Optimization; Cognitive Engineering Approach<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/DASC66011.2025.11257200\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001665766800044&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"initial trust; driving automation; automobile brand\">\n<td>256<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Tu, Nianzhi; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Influence of Automobile Brand on the Structure of Initial Trust in Driving Automation<\/td>\n<td>HCI IN MOBILITY, TRANSPORT, AND AUTOMOTIVE SYSTEMS, MOBITAS 2025, PT II, Vol.15818, pp.60-68<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Initial Trust; Driving Automation; Automobile Brand<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-92692-1_4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001541481000004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>257<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Sato, Tetsuya; Jackson, Austin; Jayarathna, Sampath; Itoh, Makoto; Yamani, Yusuke<\/td>\n<td class=\"title\">Gaze transition entropy as a measure of attention allocation in a dynamic workspace involving automation<\/td>\n<td>SCIENTIFIC REPORTS, Vol.14, No.1<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-024-74244-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001331683000081&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated vehicles; automated driving behavior questionnaire; adbq; questionnaire development; structural equation modeling\">\n<td>258<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Baby, Tiju; Yoon, Sol Hee; Lee, Jieun; Cui, Zixin; Itoh, Makoto; Lee, Seul Chan<\/td>\n<td class=\"title\">Development and validation of automated driving behavior questionnaire (ADBQ)<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.103, pp.608-622<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Automated Vehicles; Automated Driving Behavior Questionnaire; ADBQ; Questionnaire Development; Structural Equation Modeling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2024.05.014\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001243715700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"flight deck displays; cognitive experiment; situation awareness; visual characteristic\">\n<td>259<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yamai, Yoichi; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Effectivity of Early Evaluation Methodology for Flight Deck Display Format by Dual Approaches<\/td>\n<td>2024 AIAA DATC\/IEEE 43RD DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Flight Deck Displays; Cognitive Experiment; Situation Awareness; Visual Characteristic<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/DASC62030.2024.10749259\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001453360400139&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"driving behavior; autonomous driving; emergency maneuvers; collision avoidance; artificial neural network (ann)\">\n<td>260<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Munawwarah, Sharifah; Medina, Juan Sebastian Ruiz; Sato, Kenji; Abe, Genya; Itoh, Makoto<\/td>\n<td class=\"title\">Modelling of Human-like Steering Behavior under Emergency Collision Avoidance via Artificial Neural Network<\/td>\n<td>2024 7TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS, AND CONTROL ENGINEERING, ICECC 2024, pp.94-99<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">driving behavior; autonomous driving; emergency maneuvers; collision avoidance; Artificial Neural Network (ANN)<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICECC63398.2024.00024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001298145500017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"safety; intelligent vehicles; interaction; adaptive automation; driver monitoring\">\n<td>261<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Executing Safety Control under Hands-off Partial Driving Automation<\/td>\n<td>IFAC PAPERSONLINE, Vol.56, No.2, pp.8339-8344<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Safety; Intelligent vehicles; Interaction; adaptive automation; driver monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2023.10.1024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001122557300334&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"driver behavior; decision making; task difficulty; risk; safety; driving simulator\">\n<td>262<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Kochi, Fuma; Saito, Yuichi; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Task difficulty, risk feeling, and safety margin in the determination of driver behavior to prepare for traffic conflicts<\/td>\n<td>ACCIDENT ANALYSIS AND PREVENTION, Vol.192<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Driver behavior; Decision making; Task difficulty; Risk; Safety; Driving simulator<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aap.2023.107284\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001078707800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>263<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Tu, Nianzhi; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of brand and brand trust on initial trust in fully automated driving system<\/td>\n<td>PLOS ONE, Vol.18, No.5<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0284654\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000984919900003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"bvlos; drone; camera perspectives; display; uav operation\">\n<td>264<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Tu, Nianzi; Maeng, Sungju; Itoh, Makoto<\/td>\n<td class=\"title\">The influence of different camera perspectives and display devices on Beyond Visual Line of Sight (BVLOS) UAV operations<\/td>\n<td>2023 62ND ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, SICE, pp.339-344<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">BVLOS; drone; camera perspectives; display; UAV operation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/SICE59929.2023.10354201\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001138250800027&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"gaze interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; head-mounted display\">\n<td>265<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Imamura, Shota; Lee, Jieun; Rekimoto, Jun; Itoh, Makoto<\/td>\n<td class=\"title\">Advantage of Gaze-Only Contents Browsing in VR using Cumulative Dwell Time Compared to Hand Controller<\/td>\n<td>ACM SYMPOSIUM ON SPATIAL USER INTERACTION, SUI 2023<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">gaze interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; head-mounted display<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3607822.3614513\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001138802600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"control prediction; gaze-based interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; headmounted display\">\n<td>266<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Imamura, Shota; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Control prediction based on cumulative gaze dwell time while browsing contents<\/td>\n<td>ACM SYMPOSIUM ON EYE TRACKING RESEARCH &amp; APPLICATIONS, ETRA 2023<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">control prediction; gaze-based interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; headmounted display<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3588015.3589664\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001031497300091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"conditional driving automation; resilience; self-regulation; learning style; decision tree analysis\">\n<td>267<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Arame, Maki; Handa, Junko; Goda, Yoshiko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Verification of the Effectiveness of Learning Materials that Support Self-regulation for Learning Considering Differences in Career Resilience: Acquiring Knowledge of Level 3 Automated Driving Vehicles<\/td>\n<td>PROCEEDINGS OF SEVENTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2022, VOL 1, Vol.447, pp.889-900<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Conditional driving automation; Resilience; Self-regulation; Learning style; Decision tree analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-1607-6_78\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001334473600078&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"risk analysis; gps signal loss; drone; safety; bvlos operation\">\n<td>268<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Maeng, Sungju; Fujino, Mitsuki; Tu, Nianzhi; Itoh, Makoto<\/td>\n<td class=\"title\">Risk Analysis for Level 4 Drone Maneuvering: Safety in GPS Signal Loss<\/td>\n<td>PROCEEDINGS OF THE 2021 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY (APISAT 2021), VOL 2, Vol.913, pp.745-754<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Risk analysis; GPS signal loss; Drone; Safety; BVLOS operation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-2635-8_55\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865936500055&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>269<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Andrijanto; Itoh, Makoto; Sianipar, Felix Sandro<\/td>\n<td class=\"title\">Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs (vol 46, pg 353, 2022)<\/td>\n<td>IATSS RESEARCH, Vol.46, No.4, pp.623-623<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.iatssr.2022.11.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000907572800017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"traffic safety culture; motorcyclists' behaviors; driving safety program; urban traffic; reciprocal safety culture model\">\n<td>270<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Andrijanto; Itoh, Makoto; Sianipar, Felix Sandro<\/td>\n<td class=\"title\">Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs<\/td>\n<td>IATSS RESEARCH, Vol.46, No.3, pp.353-369<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Traffic safety culture; motorcyclists' behaviors; Driving safety program; Urban traffic; Reciprocal safety culture model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.iatssr.2022.04.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000876934400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated vehicle; human-machine interaction; perception; decision-making; levels of automation; lane change\">\n<td>271<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Leung, Cho Kiu; Itoh, Makoto<\/td>\n<td class=\"title\">Design and evaluation of cooperative human-machine interface for changing lanes in conditional driving automation<\/td>\n<td>ACCIDENT ANALYSIS AND PREVENTION, Vol.174<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Automated vehicle; Human-machine interaction; Perception; Decision-making; Levels of automation; Lane change<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aap.2022.106719\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000832781400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"driver behavior; attention allocation; automated driving; verbal communication; human out of the loop\">\n<td>272<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Watahiki, Yuta; Leung, Chokiu; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of verbal messages with reminders to communicate driving situations to alter driver behavior in conditional driving automation<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.85, pp.69-82<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Driver behavior; Attention allocation; Automated driving; Verbal communication; Human out of the loop<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2022.01.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000795904200006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-machine trust; human-machine system; supervisory control\">\n<td>273<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Long, Shelby K.; Lee, Jieun; Yamani, Yusuke; Unverricht, James; Itoh, Makoto<\/td>\n<td class=\"title\">Does automation trust evolve from a leap of faith? An analysis using a reprogrammed pasteurizer simulation task<\/td>\n<td>APPLIED ERGONOMICS, Vol.100<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Human-machine trust; Human-machine system; Supervisory control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2021.103674\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000799844800010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"trust; socio-technological factors; automated vehicle; autonomous vehicle\">\n<td>274<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Vongvit, Rattawut; Lee, Jieun; Itoh, Makoto; Lee, Seul Chan<\/td>\n<td class=\"title\">Meta-Trend of Trust Factors in Autonomous Vehicles<\/td>\n<td>ADJUNCT PROCEEDINGS OF THE 14TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2022 ADJUNCT, pp.94-98<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Trust; Socio-technological factors; Automated vehicle; Autonomous vehicle<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3544999.3552528\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001144178100020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"stamp\/stpa; safety analysis; safety design; emergency stop; automation system\">\n<td>275<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Watanabe, Takatomo; Itoh, Makoto<\/td>\n<td class=\"title\">Validity and Considerations of the Safety Analysis Method STAMP\/STPA on Emergency Stop -Case : Unprecedented Systems -<\/td>\n<td>2022 61ST ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS (SICE), pp.1194-1200<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">STAMP\/STPA; Safety analysis; Safety design; Emergency stop; Automation system<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000885102400094&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-machine interaction; safety; shared space; pedestrian; automated vehicles; largespace\">\n<td>276<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Andrijanto; Chen, Zhangyijing; Kodama, Takuro; Yano, Hiroaki; Itoh, Makoto<\/td>\n<td class=\"title\">Application of LargeSpace for Investigating Pedestrians' Behaviors when Interacting with Autonomous Vehicles in Shared Spaces<\/td>\n<td>2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022), pp.88-91<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Human-machine interaction; safety; shared space; pedestrian; automated vehicles; LargeSpace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/VRW55335.2022.00032\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000808111800023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"vehicles; automation; eyelids; wheels; control systems; torque; fatigue; driver monitoring; driving safety; dual control; human--machine interaction; partial driving automation\">\n<td>277<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.52, No.1, pp.74-86<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Vehicles; Automation; Eyelids; Wheels; Control systems; Torque; Fatigue; Driver monitoring; driving safety; dual control; human--machine interaction; partial driving automation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2021.3123171\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000733176200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>278<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto; Liang, Cho Kiu; Antona-Makoshi, Jacobo; Uchida, Nobuyuki<\/td>\n<td class=\"title\">Effects of gender, age, experience, and practice on driver reaction and acceptance of traffic jam chauffeur systems<\/td>\n<td>SCIENTIFIC REPORTS, Vol.11, No.1<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-021-97374-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000695272000080&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"trust in automation; driving automation; automation failure; prior information; training; malfunction\">\n<td>279<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.81, pp.384-395<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Trust in automation; Driving automation; Automation failure; Prior information; Training; Malfunction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2021.06.013\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000692568100015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"vehicles; automation; task analysis; vehicle dynamics; decision making; process control; man-machine systems; conditional driving automation; driver takeover; human-machine interface; information processing; safety; system limitations\">\n<td>280<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Explanation-Based Knowledge Influence Driver Take-Over in Conditional Driving Automation?<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.51, No.3, pp.188-197<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Vehicles; Automation; Task analysis; Vehicle dynamics; Decision making; Process control; Man-machine systems; Conditional driving automation; driver takeover; human-machine interface; information processing; safety; system limitations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2021.3051342\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000652789700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"trust; automation; human-machine trust; supervisory control; human-machine interaction\">\n<td>281<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Yamani, Yusuke; Long, Shelby K.; Unverricht, James; Itoh, Makoto<\/td>\n<td class=\"title\">Revisiting human-machine trust: a replication study of Muir and Moray (1996) using a simulated pasteurizer plant task<\/td>\n<td>ERGONOMICS, Vol.64, No.9, pp.1132-1145<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Trust; automation; human-machine trust; supervisory control; human-machine interaction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1080\/00140139.2021.1909752\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000642545600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving; takeover; education and training; human-machine interface; test track\">\n<td>282<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Kamijo, Keita; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Effects of explanation-based knowledge regarding system functions and driver's roles on driver takeover during conditionally automated driving: A test track study<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.77, pp.1-9<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Automated driving; Takeover; Education and training; Human-machine interface; Test track<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2020.11.015\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000624566000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>283<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Muslim, Hussam; Itoh, Makoto<\/td>\n<td class=\"title\">Design of Haptic Protection with an Adaptive Level of Authority Based on Risk Indicators under Hands-on Partial Driving Automation<\/td>\n<td>2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.1613-1618<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC52423.2021.9658933\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000800532001093&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"decision-making; knowledge; takeover control; request to intervene; conditional driving automation; safety\">\n<td>284<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Instructed Knowledge Influence Drivers' Decision-Making in Conditional Driving Automation?<\/td>\n<td>PROCEEDINGS OF THE 21ST CONGRESS OF THE INTERNATIONAL ERGONOMICS ASSOCIATION, IEA 2021, VOL III, Vol.221, pp.845-852<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Decision-making; Knowledge; Takeover control; Request to intervene; Conditional driving automation; Safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-74608-7_104\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001575681000103&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-automation trust; trust development; covid-19; naive automation users\">\n<td>285<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yamani, Yusuke; Long, Shelby K.; Itoh, Makoto<\/td>\n<td class=\"title\">Human-Automation Trust to Technologies for Naive Users Amidst and Following the COVID-19 Pandemic<\/td>\n<td>HUMAN FACTORS, Vol.62, No.7, pp.1087-1094<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">human-automation trust; trust development; COVID-19; naive automation users<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/0018720820948981\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000557530900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"behavioral adaptation; adaptive automation; human-automation interaction; training; trust in automation; reaction time\">\n<td>286<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Long-Term Evaluation of Drivers' Behavioral Adaptation to an Adaptive Collision Avoidance System<\/td>\n<td>HUMAN FACTORS, Vol.63, No.7, pp.1295-1315<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">behavioral adaptation; adaptive automation; human-automation interaction; training; trust in automation; reaction time<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/0018720820926092\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000537491500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving; safety compensation; takeover performance\">\n<td>287<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yao, Hua; An, Suyang; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Safety Compensation for Improving Driver Takeover Performance in Conditionally Automated Driving<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.32, No.3, pp.530-536<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">automated driving; safety compensation; takeover performance<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.20965\/jrm.2020.p0530\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000543499600006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"driving automation; human-machine trust; supervisory control; gender; acceptance of automation\">\n<td>288<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Demographic Characteristics on Trust in Driving Automation<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.32, No.3, pp.605-612<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">driving automation; human-machine trust; supervisory control; gender; acceptance of automation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.20965\/jrm.2020.p0605\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000543499600014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"partial driving automation; explanation-based knowledge; system limitations; failures; driver interventions; driving safety\">\n<td>289<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, H. P.; Itoh, M.; Kitazaki, S.<\/td>\n<td class=\"title\">Effect of instructing system limitations on the intervening behavior of drivers in partial driving automation<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.22, No.2, pp.321-334<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Partial driving automation; Explanation-based knowledge; System limitations; failures; Driver interventions; Driving safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00568-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527657500006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>290<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of driver compensatory behaviour on risks of critical pedestrian collisions under simulated visual field defects<\/td>\n<td>PLOS ONE, Vol.15, No.4<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0231130\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000535977000050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human machine systems; arbitration; interference; cooperation; design metaphor\">\n<td>291<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, Frank O.; Pacaux-Lemoine, Marie-Pierre; Vanderhaegen, Frederic; Itoh, Makoto; Saito, Yuichi; Herzberger, Nicolas; Wasser, Joscha; Grislin, Emmanuelle; Baltzer, Marcel<\/td>\n<td class=\"title\">Conflicts in Human-Machine Systems as an Intersection of Bio- and Technosphere: Cooperation and Interaction Patterns for Human and Machine Interference and Conflict Resolution<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.530-535<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">human machine systems; arbitration; interference; cooperation; design metaphor<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209517\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200100&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated vehicle; trust in automation; system transparency; system failure; supervisory control\">\n<td>292<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Impacts of System Transparency and System Failure on Driver Trust During Partially Automated Driving<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.119-121<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated vehicle; Trust in automation; System transparency; System failure; Supervisory control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209322\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200024&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"safety; partially driving automation; dual control; adaptive automation; driver behavior monitoring\">\n<td>293<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Effects of Driver Drowsiness on Driving Performance in the Context of Partial Driving Automation Requiring Hands-on-Wheel<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.100-103<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Safety; partially driving automation; dual control; adaptive automation; driver behavior monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209459\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving; safety; driver behavior; request to intervene; human-machine interface\">\n<td>294<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>An, Suyang; Maeda, Moe; Mao, Ximu; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of request-to-intervene message contents on driver performance and safety under conditionally automated driving system<\/td>\n<td>IFAC PAPERSONLINE, Vol.53, No.5, pp.203-206<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving; Safety; Driver Behavior; Request to Intervene; Human-Machine Interface<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2021.04.099\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000656589700036&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"learning style; safety education; style; automated driving; felder-silverman learning style model\">\n<td>295<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Goda, Yoshiko; Arame, Maki; Handa, Junko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Development of a Short-Form Learning Style Inventory for Automated Driving Safety Education<\/td>\n<td>PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (IEEE TALE 2020), pp.847-851<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">learning style; safety education; style; automated driving; Felder-Silverman learning style model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TALE48869.2020.9368318\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000662184600136&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"levels of automation; human-machine interface; shared control; driver acceptance; lane change\">\n<td>296<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Liang, Cho Kiu; Itoh, Makoto<\/td>\n<td class=\"title\">Effectiveness and Driver Acceptance of Sharing Decision and Control in Automated Driving<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.4447-4452<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Levels of automation; Human-machine interface; Shared control; Driver acceptance; Lane change<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/smc42975.2020.9282853\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000687430604076&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>297<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Hirano, Toshiaki; Itoh, Makoto<\/td>\n<td class=\"title\">Making Passenger Conversation in Partial Driving Automation: Effects of Relationship Between Driver and Passenger on Driver Fatigue and Driving Performance<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.1718-1722<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/smc42975.2020.9283363\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000687430601115&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving; takeover performance; system failure; odd\">\n<td>298<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yao, Hua; An, Suyang; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">How Does Driver Takeover Worsen in a Sudden System Failure of Conditionally Automated Driving?<\/td>\n<td>2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), pp.1469-1474<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving; Takeover Performance; System Failure; ODD<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/sice48898.2020.9240345\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865985500126&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving level 3; rasmussen srk model; career resilience; propensity score matching\">\n<td>299<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Arame, Maki; Handa, Junko; Goda, Yoshiko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Effects of Learning Materials about Automated Driving Level 3 Focusing on Frequency of Driving: Verification by Propensity Score Matching<\/td>\n<td>PROCEEDINGS OF THE 2020 FOURTH WORLD CONFERENCE ON SMART TRENDS IN SYSTEMS, SECURITY AND SUSTAINABILITY (WORLDS4 2020), pp.454-460<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving Level 3; Rasmussen SRK model; Career Resilience; Propensity Score Matching<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/worlds450073.2020.9210310\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000629054300077&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-centered automation; human-automation interactions; authority; levels of automation; automation driving system; adaptive automation; shared control\">\n<td>300<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">A theoretical framework for designing human-centered automotive automation systems<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.685-697<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-centered automation; Human-automation interactions; Authority; Levels of automation; Automation driving system; Adaptive automation; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-018-0509-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000498450500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-machine systems; human-machine cooperation; joint action; shared control\">\n<td>301<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, F.; Abbink, D. A.; Itoh, M.; Pacaux-Lemoine, M. -P.; Wessel, G.<\/td>\n<td class=\"title\">Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human-machine cooperation, cooperative guidance and control, shared, traded and supervisory control<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.555-568<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-machine systems; Human-machine cooperation; Joint action; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00576-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000493606400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human-machine systems; human-machine cooperation; joint action; shared control\">\n<td>302<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, F.; Abbink, D.; Itoh, M.; Pacaux-Lemoine, M. -P.<\/td>\n<td class=\"title\">Special issue on shared and cooperative control<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.553-554<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-machine systems; Human-machine cooperation; Joint action; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00607-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000492338400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"driver assistance systems; automation; control; human-automation interactions; system design\">\n<td>303<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Human Understanding of Automation Abilities on Driver Performance and Acceptance of Lane Change Collision Avoidance Systems<\/td>\n<td>IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol.20, No.6, pp.2014-2024<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Driver assistance systems; automation; control; human-automation interactions; system design<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TITS.2018.2856099\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470039700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"overtaking; cyclists; driver behaviour; driving simulator; active safety systems; automated driving\">\n<td>304<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Farah, Haneen; Piccinini, Giulio Bianchi; Itoh, Makoto; Dozza, Marco<\/td>\n<td class=\"title\">Modelling overtaking strategy and lateral distance in car-to-cyclist overtaking on rural roads: A driving simulator experiment<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.63, pp.226-239<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Overtaking; Cyclists; Driver behaviour; Driving simulator; Active safety systems; Automated driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2019.04.026\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470950700020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human machine interface; driving simulator; central field of vision; peripheral vision\">\n<td>305<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Takahashi, Hiroshi; Itoh, Makoto<\/td>\n<td class=\"title\">A Driving Simulation Study on Visual Cue Presented in the Peripheral Visual Field for Prompting Driver's Attention<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.31, No.2, pp.274-288<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">human machine interface; driving simulator; central field of vision; peripheral vision<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000465315100011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"out of the loop; automated driving; autonomous; driver behaviour; human factors\">\n<td>306<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Merat, Natasha; Seppelt, Bobbie; Louw, Tyron; Engstrom, Johan; Lee, John D.; Johansson, Emma; Green, Charles A.; Katazaki, Satoshi; Monk, Chris; Itoh, Makoto; McGehee, Daniel; Sunda, Takashi; Unoura, Kiyozumi; Victor, Trent; Schieben, Anna; Keinath, Andreas<\/td>\n<td class=\"title\">The \"Out-of-the-Loop\" concept in automated driving: proposed definition, measures and implications<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.1, pp.87-98<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Out of the Loop; Automated driving; Autonomous; Driver behaviour; Human factors<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-018-0525-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000461394900008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"conditionally driving automation; experience; driver take-over control; request to intervene; system malfunction; driver trust\">\n<td>307<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Long-term Effect of Experiencing System Malfunction on Driver Take-over Control in Conditional Driving Automation<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), pp.1950-1955<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Conditionally driving automation; experience; driver take-over control; request to intervene; system malfunction; driver trust<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521353901161&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>308<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Hirano, Toshiaki; Hano, Tomoya; Itoh, Makoto<\/td>\n<td class=\"title\">Conversation during Partially Automated Driving: How Attention Arousal is Effective on Maintaining Situation Awareness<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), pp.3718-3723<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521353903119&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving; request to intervene; functional limit; safety; driver behaviour\">\n<td>309<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of Changes in Levels of Automated Driving on Manual Control Recovery<\/td>\n<td>IFAC PAPERSONLINE, Vol.52, No.19, pp.79-84<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">automated driving; request to intervene; functional limit; safety; driver behaviour<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2019.12.113\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000504294500015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"safety; adaptive control; human machine interaction; human factors; lane change.\">\n<td>310<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, H.; Itoh, M.<\/td>\n<td class=\"title\">Trust and Acceptance of Adaptive and Conventional Collision Avoidance Systems<\/td>\n<td>IFAC PAPERSONLINE, Vol.52, No.19, pp.55-60<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Safety; Adaptive control; Human machine interaction; Human factors; Lane change.<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2019.12.086\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000504294500011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"cycling safety; comfort zone boundary; driving simulator; overtaking strategy; safety margin; speed\">\n<td>311<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Piccinini, Giulio Francesco Bianchi; Moretto, Claudia; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Influence of oncoming traffic on drivers' overtaking of cyclists<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.59, pp.378-388<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Cycling safety; Comfort zone boundary; Driving simulator; Overtaking strategy; Safety margin; Speed<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2018.09.009\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000449894900030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automated driving; human automation interaction; human factors; trust\">\n<td>312<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Driver Trust in Automated Driving Systems: The Case of Overtaking and Passing<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.48, No.1, pp.85-94<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Automated driving; human automation interaction; human factors; trust<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2017.2781619\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000422915300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>313<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Liu, Tianwei; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">The Impact of Explanation on Possibility of Hazard Detection Failure on Driver Intervention under Partial Driving Automation<\/td>\n<td>2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), pp.150-155<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000719424500026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human machine interface; driving simulator; eye tracking\">\n<td>314<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Takahashi, Hiroshi; Itoh, Makoto<\/td>\n<td class=\"title\">A Study on Visual Driving Simulator for Analyzing Perception Characteristics of a Driver<\/td>\n<td>2018 JOINT 10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 19TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), pp.672-677<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Human Machine Interface; Driving Simulator; Eye Tracking<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SCIS-ISIS.2018.00113\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470750300102&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"partial automation; elderly drivers; explanation-based knowledge; system limitations; driving safety\">\n<td>315<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Knowledge about System Limitations Contribute to Interventions into Partial Automation Among Elderly Drivers?<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.819-824<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Partial automation; Elderly drivers; Explanation-based knowledge; system limitations; driving safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00147\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884800137&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"safety; collision avoidance; authority; lane change; shared control\">\n<td>316<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Steering Behavior with Different Levels of Automation Interventions for Avoiding Collisions During Lane Change<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.2711-2716<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Safety; Collision avoidance; Authority; Lane change; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00463\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884802130&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"trust; human-machine system; cooperation modelling; shared control system\">\n<td>317<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto; Marie-Pierre, Pacaux-Lemoine<\/td>\n<td class=\"title\">Trust View from the Human-Machine Cooperation Framework<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3213-3218<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Trust; Human-machine System; Cooperation modelling; Shared control system<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00544\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884803045&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"driving automation; auditory stimulus; situation awareness; music; verbal conversation\">\n<td>318<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Hirano, Toshiaki; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Auditory Stimuli and Verbal Communications on Drivers' Situation Awareness in Partially Automated Driving<\/td>\n<td>2018 57TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), pp.690-696<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Driving automation; auditory stimulus; situation awareness; music; verbal conversation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000448184100036&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"visual field; driving simulator; driver behaviour; compensation\">\n<td>319<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Driver Compensation: Reducing The Risk of Pedestrian Collisions under Visual Field Contraction<\/td>\n<td>2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.882-887<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Visual Field; Driving Simulator; Driver Behaviour; Compensation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000427598700154&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"shared control; human-automation interactions; supervisory control; situation awareness\">\n<td>320<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Ishida, Wakana; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Vehicle Behavior for Situation Awareness When Using a Driving Automation System<\/td>\n<td>2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.888-893<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Shared control; Human-automation interactions; supervisory Control; Situation awareness<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000427598700155&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"adaptive automation; advanced driver assistance systems (adas); driver behavior monitoring; dual control; safety\">\n<td>321<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Driver Assistance System With a Dual Control Scheme: Effectiveness of Identifying Driver Drowsiness and Preventing Lane Departure Accidents<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.46, No.5, pp.660-671<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Adaptive automation; advanced driver assistance systems (ADAS); driver behavior monitoring; dual control; safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2016.2549032\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000384279800003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>322<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Driver's trust in automated driving when passing bicycles<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>323<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto<\/td>\n<td class=\"title\">human factors in car-bicycle interaction<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"\">\n<td>324<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Piccinini, Giulio Bianchi; Itoh, Makoto<\/td>\n<td class=\"title\">Driver decision and procedure to overtake cyclists<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"riskperception; lane-changingbehavior; decisionmaking\">\n<td>325<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">How does a driver perceive risk when making decision of lane-changing?<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.60-65<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Riskperception; Lane-changingbehavior; decisionmaking<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.462\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"automation; shared control; human-machine cooperation; conflict; safety; automobile; aviation; teleoperation\">\n<td>326<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto; Flemisch, Frank; Abbink, David<\/td>\n<td class=\"title\">A hierarchical framework to analyze control conflicts between human and machine<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.96-101<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Automation; Shared Control; Human-Machine Cooperation; Conflict; Safety; Automobile; Aviation; Teleoperation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.468\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"human machine systems; human machine cooperation; joint action; shared control\">\n<td>327<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, F.; Abbink, D.; Itoh, M.; Pacaux-Lemoine, M-P.; Wessel, G.<\/td>\n<td class=\"title\">Shared control is the sharp end of cooperation: Towards a common framework of joint action, shared control and human machine cooperation<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.72-77<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">human machine systems; human machine cooperation; joint action; shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.464\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"collision avoidance; lane changing; reliability; safety; shared control\">\n<td>328<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Driving with Shared Control: How Support System Performance Impacts Safety<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.582-587<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Collision avoidance; Lane changing; Reliability; Safety; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402634700087&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"shared control; lane change; automobile; safety\">\n<td>329<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Aizawa, Takuya; Itoh, Makoto<\/td>\n<td class=\"title\">Shared automation of lane change for avoiding forward obstacle<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3782-3787<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Shared control; lane change; automobile; safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402634703105&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"intuitive use; interaction design theory, concepts, and paradigms; quantitative methods; user studies; graphical user interfaces\">\n<td>330<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Fischer, Sandrine; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Screening Prototype Features in Terms of Intuitive Use: Design Considerations and Proof of Concept<\/td>\n<td>INTERACTING WITH COMPUTERS, Vol.27, No.3, pp.256-270<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Intuitive use; Interaction design theory, concepts, and paradigms; Quantitative methods; User studies; Graphical user interfaces<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/iwc\/iwv002\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000354691800004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"mental worklood; performance measurement; safety; driver assistance\">\n<td>331<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Makhtar, Ahmad Khushairy; Itoh, Makoto<\/td>\n<td class=\"title\">DRIVER'S MENTAL WORKLOAD: TASK PERFORMANCE AND MENTAL WORKLOAD<\/td>\n<td>JURNAL TEKNOLOGI, Vol.76, No.7, pp.109-113<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Mental worklood; performance measurement; safety; driver assistance<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000218594700019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"shared control; advanced driver assistance systems; safety; pedestrian\">\n<td>332<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto; Tanaka, Hiroto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Toward Trustworthy Haptic Assistance System for Emergency Avoidance of Collision With a Pedestrian<\/td>\n<td>JOURNAL OF HUMAN-ROBOT INTERACTION, Vol.4, No.3, pp.4-18<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Shared control; advanced driver assistance systems; safety; pedestrian<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5898\/JHRI.4.3.Itoh\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000218714100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"man machine systems; cooperative system; human factors; context awareness; team awareness; car driving\">\n<td>333<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Marie-Pierre, Pacaux-Lemoine; Makoto, Itoh<\/td>\n<td class=\"title\">Towards vertical and horizontal extension of shared control concept<\/td>\n<td>2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, pp.3086-3091<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Man machine systems; Cooperative system; Human factors; Context awareness; Team awareness; Car driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2015.536\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368940203030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"component; trust; automtaed vehciels; manual driving\">\n<td>334<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Driver's trust in automted driving when passing other traffic objects<\/td>\n<td>2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, pp.897-902<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">component; trust; automtaed vehciels; manual driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2015.165\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368940200152&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"intuitive use; schemata theory; transfer\">\n<td>335<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Fischer, Sandrine; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Prior schemata transfer as an account for assessing the intuitive use of new technology<\/td>\n<td>APPLIED ERGONOMICS, Vol.46, pp.8-20<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Intuitive use; Schemata theory; Transfer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2014.05.010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000347736900002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\" data-keywords=\"gravity; unidirectional solidification; copper-lead alloy; monotectic; banded structure\">\n<td>336<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Aoi, I; Makoto, I; Yoshida, M; Fukunaga, H; Nakae, H<\/td>\n<td class=\"title\">Influence of growth direction on the microstructure of unidirectionally solidified Cu-Pb monotectic alloy using zone-melt technique<\/td>\n<td>JOURNAL OF CRYSTAL GROWTH, Vol.222, No.4, pp.806-815<\/td>\n<td class=\"year\">2001<\/td>\n<td class=\"keywords\">gravity; unidirectional solidification; copper-lead alloy; monotectic; banded structure<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/S0022-0248(00)01008-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000166881800020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"riemannian manifolds; riemannian optimization; nonlinear optimization; interior point method\">\n<td>337<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Lai, Zhijian; Yoshise, Akiko<\/td>\n<td class=\"title\">Riemannian Interior Point Methods for Constrained Optimization on Manifolds<\/td>\n<td>JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Vol.201, No.1, pp.433-469<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Riemannian manifolds; Riemannian optimization; Nonlinear optimization; Interior point method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10957-024-02403-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001173366800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>338<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Kanoh, Shin-ichi; Yoshise, Akiko<\/td>\n<td class=\"title\">A new extension of Chubanov's method to symmetric cones<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.205, No.1-2, pp.773-812<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10107-023-01995-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001031377700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"completely positive factorization; smoothing method; nonsmooth riemannian optimization problem\">\n<td>339<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Lai, Zhijian; Yoshise, Akiko<\/td>\n<td class=\"title\">Completely positive factorization by a Riemannian smoothing method<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.83, No.3, pp.933-966<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Completely positive factorization; Smoothing method; Nonsmooth Riemannian optimization problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-022-00417-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865373900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"semidefinite optimization problem; diagonally dominant matrix; scaled diagonally dominant matrix\">\n<td>340<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Wang, Yuzhu; Yoshise, Akiko<\/td>\n<td class=\"title\">Evaluating approximations of the semidefinite cone with trace normalized distance<\/td>\n<td>OPTIMIZATION LETTERS, Vol.17, No.4, pp.917-934<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Semidefinite optimization problem; Diagonally dominant matrix; Scaled diagonally dominant matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11590-022-01908-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000825924400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"semidefinite optimization problem; conic optimization problem; polyhedral approximation; semidefinite basis; expanded semidefinite basis\">\n<td>341<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Wang, Yuzhu; Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Polyhedral approximations of the semidefinite cone and their application<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.78, No.3, pp.893-913<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Semidefinite optimization problem; Conic optimization problem; Polyhedral approximation; Semidefinite basis; Expanded semidefinite basis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-020-00255-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000604160400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"semidefinite plus nonnegative cone; doubly nonnegative cone; copositive cone; matrix decomposition; linear programming; semidefinite basis; maximum clique problem; quadratic optimization problem\">\n<td>342<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">LP-based tractable subcones of the semidefinite plus nonnegative cone<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.265, No.1, pp.155-182<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Semidefinite plus nonnegative cone; Doubly nonnegative cone; Copositive cone; Matrix decomposition; Linear programming; Semidefinite basis; Maximum clique problem; Quadratic optimization problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-017-2720-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000430492100009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"logistic regression; feature subset selection; mixed integer optimization; information criterion; piecewise linear approximation\">\n<td>343<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Sato, Toshiki; Takano, Yuichi; Miyashiro, Ryuhei; Yoshise, Akiko<\/td>\n<td class=\"title\">Feature subset selection for logistic regression via mixed integer optimization<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.64, No.3, pp.865-880<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Logistic regression; Feature subset selection; Mixed integer optimization; Information criterion; Piecewise linear approximation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-016-9832-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000376872000010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>344<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Takagi, Hideaki; Okada, Yukihiko; Yoshise, Akiko; Shigeno, Maiko<\/td>\n<td class=\"title\">Creation of Service Science Curriculum for Customer-Oriented Business Innovation<\/td>\n<td>GLOBAL PERSPECTIVES ON SERVICE SCIENCE: JAPAN, pp.313-336<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-1-4939-3594-9_20\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000398390700023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"optical network; routing and wavelength assignment; sub-wavelength assignment; integer programming; cutting plane method; greedy algorithm\">\n<td>345<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Watanabe, Yosuke; Ishii, Kiyo; Sato, Toshiki; Takefusa, Atsuko; Kudoh, Tomohiro; Shigeno, Maiko; Yoshise, Akiko<\/td>\n<td class=\"title\">Routing and wavelength\/sub-wavelength path assignment to maximizing accommodated traffic demands on optical networks<\/td>\n<td>JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, Vol.10, No.3<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Optical network; Routing and wavelength assignment; Sub-wavelength assignment; Integer programming; Cutting plane method; Greedy algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1299\/jamdsm.2016jamdsm0038\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000384230600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"copositive programming; matrix decomposition; linear programming; branch and bound algorithm; maximum clique problem\">\n<td>346<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">AN LP-BASED ALGORITHM TO TEST COPOSITIVITY<\/td>\n<td>PACIFIC JOURNAL OF OPTIMIZATION, Vol.11, No.1, pp.101-120<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">copositive programming; matrix decomposition; linear programming; branch and bound algorithm; maximum clique problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000351657700007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"keywords related to the papers; comma separated\">\n<td>347<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Takahashi, Satoshi; Takefusa, Atsuko; Shigeno, Maiko; Nakada, Hidemoto; Kudoh, Tomohiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Power Efficient Virtual Machine Packing for Green Datacenter<\/td>\n<td>INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING, Vol.4, No.2, pp.162-181<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">Keywords related to the papers; comma separated<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446526700005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>348<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Takahashi, Satoshi; Takefusa, Atsuko; Shigeno, Maiko; Nakada, Hidemoto; Kudoh, Tomohiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Virtual Machine Packing Algorithms for Lower Power Consumption<\/td>\n<td>2012 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM)<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000320473500022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"doubly nonnegative cone; nonsymmetric conic optimization; primal barrier function; self-concordant function; phase i algorithm\">\n<td>349<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Matsukawa, Yasuaki; Yoshise, Akiko<\/td>\n<td class=\"title\">A primal barrier function Phase I algorithm for nonsymmetric conic optimization problems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.29, No.3, pp.499-517<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Doubly nonnegative cone; Nonsymmetric conic optimization; Primal barrier function; Self-concordant function; Phase I algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-012-0081-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000312574300010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>350<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">Complementarity Problems Over Symmetric Cones: A Survey of Recent Developments in Several Aspects<\/td>\n<td>HANDBOOK ON SEMIDEFINITE, CONIC AND POLYNOMOAL OPTIMIZATION, Vol.166, pp.339-375<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-1-4614-0769-0_12\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000303779500012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"complementarity problem; symmetric cone; homogeneous algorithm; interior point method; complexity analysis\">\n<td>351<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">HOMOGENEOUS ALGORITHMS FOR MONOTONE COMPLEMENTARITY PROBLEMS OVER SYMMETRIC CONES<\/td>\n<td>PACIFIC JOURNAL OF OPTIMIZATION, Vol.5, No.2, pp.313-337<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">complementarity problem; symmetric cone; homogeneous algorithm; interior point method; complexity analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000266325900010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"sports scheduling; timetabling; approximation algorithm; dependent randomized rounding\">\n<td>352<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Suzuka, Ayami; Miyashiro, Ryuhei; Yoshise, Akiko; Matsui, Tomomi<\/td>\n<td class=\"title\">Dependent randomized rounding to the home-away assignment problem in sports scheduling<\/td>\n<td>IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, Vol.E89A, No.5, pp.1407-1416<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">sports scheduling; timetabling; approximation algorithm; dependent randomized rounding<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/ietfec\/e89-a.5.1407\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237827500032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"complementarity problem; symmetric cone; homogeneous algorithm; existence of trajectory; interior point method; detecting infeasibility\">\n<td>353<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">Interior point trajectories and a homogeneous model for nonlinear complementarity problems over symmetric cones<\/td>\n<td>SIAM JOURNAL ON OPTIMIZATION, Vol.17, No.4, pp.1129-1153<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">complementarity problem; symmetric cone; homogeneous algorithm; existence of trajectory; interior point method; detecting infeasibility<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/04061427X\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000244631800008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"programs with linear complementarity constraints; equilibrium constraints; bilevel programming; global optimization\">\n<td>354<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Thoai, NV; Yamamoto, Y; Yoshise, A<\/td>\n<td class=\"title\">Global optimization method for solving mathematical programs with linear complementarity constraints<\/td>\n<td>JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Vol.124, No.2, pp.467-490<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\">Programs with linear complementarity constraints; equilibrium constraints; bilevel programming; global optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10957-004-0946-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000227160200011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"sports timetabling; semidefinite programming; goemans and williamson's approximation algorithm\">\n<td>355<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Suzuka, A; Miyashiro, R; Yoshise, A; Matsui, T<\/td>\n<td class=\"title\">Semidefinite programming based approaches to home-away assignment problems in sports scheduling<\/td>\n<td>ALGORITHMIC APPLICATIONS IN MANAGEMENT, PROCEEDINGS, Vol.3521, pp.95-103<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\">sports timetabling; semidefinite programming; Goemans and Williamson's approximation algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000230475100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>356<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Hotta, K; Yoshise, A<\/td>\n<td class=\"title\">A complexity bound of a predictor-corrector smoothing method using CHKS-functions for monotone LCP<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.22, No.3, pp.329-350<\/td>\n<td class=\"year\">2002<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1023\/A:1019754720598\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000177431600002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"smoothing method; complexity bound; linear complementarity problem; monotonicity\">\n<td>357<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Hotta, K; Inaba, M; Yoshise, A<\/td>\n<td class=\"title\">A complexity analysis of a smoothing method using CHKS-functions for monotone linear complementarity problems<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.17, No.2-3, pp.183-201<\/td>\n<td class=\"year\">2000<\/td>\n<td class=\"keywords\">smoothing method; complexity bound; linear complementarity problem; monotonicity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1023\/A:1026550331760\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000166320300005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"non-interior point method; complementarity problem; smoothing function; homotopy method\">\n<td>358<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Hotta, K; Yoshise, A<\/td>\n<td class=\"title\">Global convergence of a class of non-interior point algorithms using Chen-Harker-Kanzow-Smale functions for nonlinear complementarity problems<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.86, No.1, pp.105-133<\/td>\n<td class=\"year\">1999<\/td>\n<td class=\"keywords\">non-interior point method; complementarity problem; smoothing function; homotopy method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s101070050082\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000082858100007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"complementarity problems; interior point methods; primal-dual affine scaling methods; smoothness conditions; polynomial-time convergence; global convergence\">\n<td>359<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Jansen, B; Roos, K; Terlaky, T; Yoshise, A<\/td>\n<td class=\"title\">Polynomiality of primal-dual affine scaling algorithms for nonlinear complementarity problems<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.78, No.3, pp.315-345<\/td>\n<td class=\"year\">1997<\/td>\n<td class=\"keywords\">complementarity problems; interior point methods; primal-dual affine scaling methods; smoothness conditions; polynomial-time convergence; global convergence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF02614359\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1997XT10800002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"monotone complementarity problem; interior-point algorithm; potential reduction algorithm; infeasibility; global convergence\">\n<td>360<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">GLOBAL CONVERGENCE IN INFEASIBLE-INTERIOR-POINT ALGORITHMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.65, No.1, pp.43-72<\/td>\n<td class=\"year\">1994<\/td>\n<td class=\"keywords\">MONOTONE COMPLEMENTARITY PROBLEM; INTERIOR-POINT ALGORITHM; POTENTIAL REDUCTION ALGORITHM; INFEASIBILITY; GLOBAL CONVERGENCE<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01581689\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1994PC17000003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"interior point algorithm; big-mu; linear program; convex program; complementarity problem; potential reduction algorithm; self-dual linear program\">\n<td>361<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">A LITTLE THEOREM OF THE BIG-MU IN INTERIOR-POINT ALGORITHMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.59, No.3, pp.361-375<\/td>\n<td class=\"year\">1993<\/td>\n<td class=\"keywords\">INTERIOR POINT ALGORITHM; BIG-MU; LINEAR PROGRAM; CONVEX PROGRAM; COMPLEMENTARITY PROBLEM; POTENTIAL REDUCTION ALGORITHM; SELF-DUAL LINEAR PROGRAM<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01581253\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1993LN42100005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"interior-point methods; complementarity; linear programming; quadratic programming; path-following; potential reduction\">\n<td>362<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MEGIDDO, N; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">A UNIFIED APPROACH TO INTERIOR POINT ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS - A SUMMARY<\/td>\n<td>OPERATIONS RESEARCH LETTERS, Vol.10, No.5, pp.247-254<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\">INTERIOR-POINT METHODS; COMPLEMENTARITY; LINEAR PROGRAMMING; QUADRATIC PROGRAMMING; PATH-FOLLOWING; POTENTIAL REDUCTION<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/0167-6377(91)90010-M\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991GB77200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"potential reduction algorithm; linear complementarity problem; interior point algorithm; karmarkar algorithm; path of centers; central trajectory\">\n<td>363<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">AN O(SQUARE-ROOT-N L) ITERATION POTENTIAL REDUCTION ALGORITHM FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.50, No.3, pp.331-342<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\">POTENTIAL REDUCTION ALGORITHM; LINEAR COMPLEMENTARITY PROBLEM; INTERIOR POINT ALGORITHM; KARMARKAR ALGORITHM; PATH OF CENTERS; CENTRAL TRAJECTORY<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01594942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991FT43600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>364<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MEGIDDO, N; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">A UNIFIED APPROACH TO INTERIOR-POINT ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>LECTURE NOTES IN COMPUTER SCIENCE, Vol.538, pp.UR5-&amp;<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991LE71700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>365<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">ELLIPSOIDS THAT CONTAIN ALL THE SOLUTIONS OF A POSITIVE SEMIDEFINITE LINEAR COMPLEMENTARITY-PROBLEM<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.48, No.3, pp.415-435<\/td>\n<td class=\"year\">1990<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01582266\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1990EE53500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>366<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">A POLYNOMIAL-TIME ALGORITHM FOR A CLASS OF LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.44, No.1, pp.1-26<\/td>\n<td class=\"year\">1989<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01587074\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1989U824100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\" data-keywords=\"\">\n<td>367<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>MIZUNO, S; YOSHISE, A; KIKUCHI, T<\/td>\n<td class=\"title\">PRACTICAL POLYNOMIAL-TIME ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF JAPAN, Vol.32, No.1, pp.75-92<\/td>\n<td class=\"year\">1989<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.15807\/jorsj.32.75\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1989T750500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"queueing game; multi-population game; subgame perfect nash equilibrium; social optimization; double-ended queue\">\n<td>368<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nguyen, Hung Q.; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Subgame perfect Nash equilibrium analysis in a two-population strategic matching queue with nonzero matching times<\/td>\n<td>OPERATIONS RESEARCH LETTERS, Vol.63<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Queueing game; Multi-population game; Subgame perfect Nash equilibrium; Social optimization; Double-ended queue<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.orl.2025.107362\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001582459800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"blockchain; queueing theory; ethereum; eip-1559\">\n<td>369<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Inami, Koki; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Analysis of Dynamic Transaction Fee Blockchain Using Queueing Theory<\/td>\n<td>MATHEMATICS, Vol.13, No.6<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">blockchain; queueing theory; Ethereum; EIP-1559<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math13061010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001452694700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"shared-type transportation; shuttle bus system; queues with strategic customers; batch service; fair sharing; dynamic pricing control\">\n<td>370<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Fair and efficient sharing: Dynamic pricing control for batch service system with strategic customers<\/td>\n<td>TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, Vol.171<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Shared-type transportation; Shuttle bus system; Queues with strategic customers; Batch service; Fair sharing; Dynamic pricing control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trc.2024.104994\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001406517800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"queueing game; mode choice; batch service; clearing system; nash equilibrium; social optimization; socially optimal pricing\">\n<td>371<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nakamura, Ayane; Tuan Phung-Duc<\/td>\n<td class=\"title\">Equilibrium Analysis and Social Optimization of a Selectable Single or Batch Services with General Service Time Distribution<\/td>\n<td>OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS, ICORES 2024, Vol.2545, pp.47-65<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Queueing game; Mode choice; Batch service; Clearing system; Nash equilibrium; Social optimization; Socially optimal pricing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-95646-1_3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001555667300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"energy consumption; machine learning system; performance; reliability; simulation\">\n<td>372<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Wakigami, Kazuya; Machida, Fumio; Phung-duc, Tuan<\/td>\n<td class=\"title\">Empirical Architecture Comparison of Two-input Machine Learning Systems for Vision Tasks<\/td>\n<td>FORMAL ASPECTS OF COMPUTING, Vol.36, No.4<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Energy consumption; machine learning system; performance; reliability; simulation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3674849\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001391320700004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"quasi-birth-and-death analysis; sojourn time distribution; first-step analysis; laplace-stieltjes transform; approximation analysis\">\n<td>373<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Koyama, Yusei; Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Sojourn Time Analysis of a Single-Server Queue with Single- and Batch-Service Customers<\/td>\n<td>MATHEMATICS, Vol.12, No.18<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">quasi-birth-and-death analysis; sojourn time distribution; first-step analysis; Laplace-Stieltjes transform; approximation analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math12182820\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001324019700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"strategy; innovation; business performance; analytic reasoning perspective\">\n<td>374<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Khuong, Mai Ngoc; Dang Tuan, Pham; Ngoc Duy Phuong, Nguyen<\/td>\n<td class=\"title\">The effects of analytical and holistic reasoning perspective on innovation and business performance, a study of state own, FDI and private company in Vietnam<\/td>\n<td>COGENT BUSINESS &amp; MANAGEMENT, Vol.10, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">strategy; innovation; business performance; analytic reasoning perspective<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1080\/23311975.2023.2200609\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000970496500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"epc; network function virtualization; nfv instance resource allocation; dynamic autoscaling algorithm; modeling and analysis\">\n<td>375<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Ren, Yi; Phung-Duc, Tuan; Chen, Jyh-Cheng; Li, Frank Y.<\/td>\n<td class=\"title\">Enabling Dynamic Autoscaling for NFV in a Non-Standalone Virtual EPC: Design and Analysis<\/td>\n<td>IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, Vol.72, No.6, pp.7743-7756<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">EPC; network function virtualization; NFV instance resource allocation; dynamic autoscaling algorithm; modeling and analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TVT.2023.3237698\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001018210600062&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"tandem queueing networks; retrial; asymptotic analysis; two infinite orbits\">\n<td>376<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nazarov, Anatoly; Phung-Duc, Tuan; Paul, Svetlana; Morozova, Mariya<\/td>\n<td class=\"title\">Scaling Limits of a Tandem Queue with Two Infinite Orbits \u2020<\/td>\n<td>MATHEMATICS, Vol.11, No.11<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">tandem queueing networks; retrial; asymptotic analysis; two infinite orbits<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math11112454\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001005533400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"queueing model; infinite server; asymptotic analysis; weak law of large numbers; central limit theorem; moment approach; raw moment; factorial moment; stirling number; symbolic algorithm\">\n<td>377<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M\/M<SUP>X<\/SUP>\/8 Queue<\/td>\n<td>MATHEMATICS, Vol.11, No.9<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">queueing model; infinite server; asymptotic analysis; weak law of large numbers; central limit theorem; moment approach; raw moment; factorial moment; stirling number; symbolic algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math11092088\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000987580900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"queueing system; setup time; game theory; equilibrium threshold strategy; data center\">\n<td>378<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nguyen, Hung Q.; Tuan Phung-Duc<\/td>\n<td class=\"title\">M\/M\/<i>c<\/i>\/Setup Queues: Conditional Mean Waiting Times and a Loop Algorithm to Derive Customer Equilibrium Threshold Strategy<\/td>\n<td>COMPUTER PERFORMANCE ENGINEERING, EPEW 2022, Vol.13659, pp.86-99<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Queueing system; Setup time; Game theory; Equilibrium threshold strategy; Data center<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-25049-1_6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000964589100006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"queueing model; gi\/m\/1-type markov chain; gas station; performance\">\n<td>379<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Machida, Yoshito; Phung-Duc, Tuan<\/td>\n<td class=\"title\">A Queueing Analysis of Multi-type Servers and Multi-type Customers System based on Gas Stations<\/td>\n<td>PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS (ICORES), pp.145-152<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Queueing Model; GI\/M\/1-type Markov Chain; Gas Station; Performance<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0010816100003117\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000818727100015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"multi-server retrial queue; setup time; two-phased service; asymptotic analysis; long delay condition\">\n<td>380<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nazarov, Anatoly; Moiseev, Alexander; Phung-Duc, Tuan; Paul, Svetlana<\/td>\n<td class=\"title\">Diffusion Limit of Multi-Server Retrial Queue with Setup Time<\/td>\n<td>MATHEMATICS, Vol.8, No.12<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">multi-server retrial queue; setup time; two-phased service; asymptotic analysis; long delay condition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math8122232\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000601926300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"finite queues; retrials; outgoing calls; restriction on the orbit size\">\n<td>381<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Dragieva, Velika I.; Tuan, Phung-Duc<\/td>\n<td class=\"title\">A finite-source M\/G\/1 retrial queue with outgoing calls<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.293, No.1, pp.101-121<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Finite queues; Retrials; Outgoing calls; Restriction on the orbit size<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-019-03359-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000567456600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"\">\n<td>382<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Phung-Duc, Tuan; Takahashi, Yutaka; Takagi, Hideaki<\/td>\n<td class=\"title\">Preface: Queueing theory and network applications II<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.293, No.1, pp.1-1<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-020-03618-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000528413400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"retrial queues; multiple orbits; cognitive radio networks; cooperative communication; two-way communication\">\n<td>383<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Dimitriou, Ioannis; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Analysis of Cognitive Radio Networks with Cooperative Communication<\/td>\n<td>PROCEEDINGS OF THE 13TH EAI INTERNATIONAL CONFERENCE ON PERFORMANCE EVALUATION METHODOLOGIES AND TOOLS ( VALUETOOLS 2020), pp.192-195<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">retrial queues; multiple orbits; cognitive radio networks; cooperative communication; two-way communication<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3388831.3388859\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000632693800028&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\" data-keywords=\"\">\n<td>384<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>WESTON, JF; TUAN, PD<\/td>\n<td class=\"title\">COMMENT ON ANALYSIS OF CREDIT POLICY CHANGES<\/td>\n<td>FINANCIAL MANAGEMENT, Vol.9, No.4, pp.59-63<\/td>\n<td class=\"year\">1980<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2307\/3664920\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1980KS22600008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"data collaboration; propensity score matching; privacy-preserving survival analysis; covariate adjustment; survival curve\">\n<td>385<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Toyoda, Akihiro; Kawamata, Yuji; Nakayama, Tomoru; Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Estimating covariate-balanced survival curve in distributed data environment using data collaboration quasi-experiment<\/td>\n<td>SCIENTIFIC REPORTS, Vol.16, No.1<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Data collaboration; Propensity score matching; Privacy-preserving survival analysis; Covariate adjustment; Survival curve<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-33245-7\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001669782400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"data collaboration; eigenvalue problem; decentralized data; privacy; machine learning\">\n<td>386<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Kawakami, Yuta; Takano, Yuichi; Imakura, Akira<\/td>\n<td class=\"title\">New solutions based on the generalized eigenvalue problem for the data collaboration analysis<\/td>\n<td>INFORMATION SCIENCES, Vol.723<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Data collaboration; Eigenvalue problem; Decentralized data; Privacy; Machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2025.122642\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001583515600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"multiple right-hand sides; block lanczos-type solver; residual smoothing; residual gap; inexact orthonormalization\">\n<td>387<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi<\/td>\n<td class=\"title\">BLOCK CROSS-INTERACTIVE RESIDUAL SMOOTHING FOR LANCZOS-TYPE SOLVERS FOR LINEAR SYSTEMS WITH MULTIPLE RIGHT-HAND SIDES<\/td>\n<td>SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, Vol.46, No.4, pp.2501-2526<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">multiple right-hand sides; block Lanczos-type solver; residual smoothing; residual gap; inexact orthonormalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/24M1720007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001640189300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"document; privacy-preserving analysis; musical education\">\n<td>388<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Kagawa, Rina; Imakura, Akira; Matsubara, Masaki<\/td>\n<td class=\"title\">A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes<\/td>\n<td>LEVERAGING GENERATIVE INTELLIGENCE IN DIGITAL LIBRARIES: TOWARDS HUMAN-MACHINE COLLABORATION, ICADL 2023, PT I, Vol.14457, pp.218-227<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Document; Privacy-Preserving Analysis; Musical Education<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-99-8085-7_20\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001160644600020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"generalized eigenvalue problem; verified numerical computations; rayleigh-ritz procedure; complex moment; hermitian matrix\">\n<td>389<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.424<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Verified numerical computations; Rayleigh-Ritz procedure; Complex moment; Hermitian matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2022.114994\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000911099600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"differential eigenvalue problem; solve-then-discretize paradigm; higher-order complex moments; ordinary differential equations; error bounds\">\n<td>390<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Complex moment-based methods for differential eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.92, No.1, pp.693-721<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Differential eigenvalue problem; Solve-then-discretize paradigm; Higher-order complex moments; Ordinary differential equations; Error bounds<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-022-01456-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000898430000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>391<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Yamamoto, Ryuki; Hontani, Hidekata; Imakura, Akira; Yokota, Tatsuya<\/td>\n<td class=\"title\">Consistent MDT-Tucker: A Hankel Structure Constrained Tucker Decomposition in Delay Embedded Space<\/td>\n<td>PROCEEDINGS OF 2022 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), pp.137-142<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000922154500022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"multiple right-hand sides; global lanczos-type solver; block lanczos-type solver; residual smoothing; residual gap\">\n<td>392<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi<\/td>\n<td class=\"title\">CROSS-INTERACTIVE RESIDUAL SMOOTHING FOR GLOBAL AND BLOCK LANCZOS-TYPE SOLVERS FOR LINEAR SYSTEMS WITH MULTIPLE RIGHT-HAND SIDES br<\/td>\n<td>SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, Vol.43, No.3, pp.1308-1330<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">multiple right-hand sides; global Lanczos-type solver; block Lanczos-type solver; residual smoothing; residual gap<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/21M1436774\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861196300012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>393<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Yamamoto, Ryuki; Hontani, Hidekata; Imakura, Akira; Yokota, Tatsuya<\/td>\n<td class=\"title\">Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), pp.2048-2056<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPR52688.2022.00210\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000867754202031&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"krylov subspace methods; shifted linear systems; hessenberg procedure; gmres; shifted cmrh methods; fdes\">\n<td>394<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Gu, Xian-Ming; Huang, Ting-Zhu; Carpentieri, Bruno; Imakura, Akira; Zhang, Ke; Du, Lei<\/td>\n<td class=\"title\">Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.375<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Krylov subspace methods; Shifted linear systems; Hessenberg procedure; GMRES; Shifted CMRH methods; FDEs<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2020.112788\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000526109700018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"partial eigenproblem; contour integral; complex moment; verified numerical computations\">\n<td>395<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.369<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Partial eigenproblem; Contour integral; Complex moment; Verified numerical computations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2019.112543\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000510954900027&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"modified gram-schmidt orthogonalization; non-standard inner product; efficient implementations; error bounds\">\n<td>396<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Yamamoto, Yusaku<\/td>\n<td class=\"title\">Efficient implementations of the modified Gram-Schmidt orthogonalization with a non-standard inner product<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.619-641<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Modified Gram-Schmidt orthogonalization; Non-standard inner product; Efficient implementations; Error bounds<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00356-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"shifted linear systems; shifted krylov subspace methods; minimal residual-like condition; collinearity\">\n<td>397<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira<\/td>\n<td class=\"title\">Minimal residual-like condition with collinearity for shifted Krylov subspace methods<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.643-661<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Shifted linear systems; Shifted Krylov subspace methods; Minimal residual-like condition; Collinearity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00357-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"bin-picking; 3d measurement; 3d object detection\">\n<td>398<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Chiba, Naoya; Li, Mingyu; Imakura, Akira; Hashimoto, Koichi<\/td>\n<td class=\"title\">Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, ROBIO, pp.7-13<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Bin-picking; 3D Measurement; 3D Object Detection<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001507600700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"3d measurement; light transport matrix; alternating direction method of multipliers (admm)\">\n<td>399<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Chiba, Naoya; Imakura, Akira; Hashimoto, Koichi<\/td>\n<td class=\"title\">Fast ADMM <i>l<\/i><sub>1<\/sub> minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, ROBIO, pp.14-21<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">3D Measurement; Light Transport Matrix; Alternating Direction Method of Multipliers (ADMM)<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001507600700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"non-hermitian linear systems; restarted krylov subspace methods; residual polynomials; a look-back-type restart\">\n<td>400<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sogabe, Tomohiro; Zhang, Shao-Liang<\/td>\n<td class=\"title\">A Look-Back-type restart for the restarted Krylov subspace methods for solving non-Hermitian linear systems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.35, No.2, pp.835-859<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Non-Hermitian linear systems; Restarted Krylov subspace methods; Residual polynomials; A Look-Back-type restart<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-018-0308-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000435710100018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"hydrodynamics; neutrinos; supernovae: general\">\n<td>401<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Okawa, Hirotada; Harada, Akira; Sumiyoshi, Kohsuke; Yamada, Shoichi; Matsufuru, Hideo; Imakura, Akira<\/td>\n<td class=\"title\">Simulations of Core-collapse Supernovae in Spatial Axisymmetry with Full Boltzmann Neutrino Transport<\/td>\n<td>ASTROPHYSICAL JOURNAL, Vol.854, No.2<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">hydrodynamics; neutrinos; supernovae: general<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3847\/1538-4357\/aaac29\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000425770500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"methods: numerical; neutrinos; radiative transfer; relativistic processes; (stars:) supernovae: general\">\n<td>402<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Sumiyoshi, Kohsuke; Yamada, Shoichi; Matsufuru, Hideo; Imakura, Akira<\/td>\n<td class=\"title\">Three-dimensional Boltzmann-Hydro Code for Core-collapse in Massive Stars. II. The Implementation of Moving-mesh for Neutron Star Kicks<\/td>\n<td>ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, Vol.229, No.2<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">methods: numerical; neutrinos; radiative transfer; relativistic processes; (stars:) supernovae: general<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3847\/1538-4365\/aa69ea\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000399788900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"\">\n<td>403<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Tadano, Hiroto; Saito, Shusaku; Imakura, Akira<\/td>\n<td class=\"title\">Accuracy Improvement of the Shifted Block BiCGGR Method for Linear Systems with Multiple Shifts and Multiple Right-Hand Sides<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.171-185<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_12\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"gmres; restarted gmres; locally optimal gmres; heavy ball gmres; linear system\">\n<td>404<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Li, Ren-Cang; Zhang, Shao-Liang<\/td>\n<td class=\"title\">Locally optimal and heavy ball GMRES methods<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.33, No.2, pp.471-499<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">GMRES; Restarted GMRES; Locally optimal GMRES; Heavy ball GMRES; Linear system<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-016-0220-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000379036300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"supernova; neutrino transfer; hydrodynamics; simulation\">\n<td>405<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Sumiyoshi, Kohsuke; Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Matsufuru, Hideo; Imakura, Akira; Yamada, Shoichi<\/td>\n<td class=\"title\">Core-Collapse Supernovae Explored by Multi-D Boltzmann Hydrodynamic Simulations<\/td>\n<td>PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON NUCLEI IN THE COSMOS (NIC2016)<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">supernova; neutrino transfer; hydrodynamics; simulation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSCP.14.010606\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000566261100039&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"extended krylov subspace; krylov subspace; subspace projection methods; orthonormal basis; linear systems\">\n<td>406<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira<\/td>\n<td class=\"title\">An Efficient Algorithm to Construct an Orthonormal Basis for the Extended Krylov Subspace<\/td>\n<td>EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, Vol.4, No.3, pp.267-282<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Extended Krylov subspace; Krylov subspace; subspace projection methods; orthonormal basis; linear systems<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4208\/eajam.240413.020614a\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000340033900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"nonsymmetric linear systems; gmres(m) method; restart; error equations\">\n<td>407<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sogabe, Tomohiro; Zhang, Shao-Liang<\/td>\n<td class=\"title\">An Efficient Variant of the GMRES(<i>m<\/i>) Method Based on the Error Equations<\/td>\n<td>EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, Vol.2, No.1, pp.19-32<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Nonsymmetric linear systems; GMRES(m) method; restart; error equations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4208\/eajam.280611.030911a\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000325516600002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\" data-keywords=\"nonsymmetric linear systems; preconditioner; sparse approximate inverse; wavelet\">\n<td>408<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, A.; Sogabe, T.; Zhang, S. -L.<\/td>\n<td class=\"title\">An implicit wavelet sparse approximate inverse preconditioner using block finger pattern<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.16, No.11-12, pp.915-928<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">nonsymmetric linear systems; preconditioner; sparse approximate inverse; wavelet<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.657\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000271806800006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<p>    <!-- \u30bf\u30d63: \u8907\u6570\u9078\u629e\u691c\u7d22 --><\/p>\n<div id=\"tab-multi\" class=\"tab-content\">\n<div class=\"filters\">\n        <span class=\"cb-group\"><br \/>\n          <label class=\"cb-label\"><input type=\"checkbox\" class=\"cb-researcher\" value=\"\u798f\u4e95\u548c\u5e83\" checked> \u798f\u4e95\u548c\u5e83<\/label><br \/>\n          <label class=\"cb-label\"><input type=\"checkbox\" class=\"cb-researcher\" value=\"\u6afb\u4e95\u9244\u4e5f\" checked> \u6afb\u4e95\u9244\u4e5f<\/label><br \/>\n          <label class=\"cb-label\"><input type=\"checkbox\" class=\"cb-researcher\" value=\"\u4f0a\u85e4\u8aa0\" checked> \u4f0a\u85e4\u8aa0<\/label><br \/>\n          <label class=\"cb-label\"><input type=\"checkbox\" class=\"cb-researcher\" value=\"\u5409\u702c\u7ae0\u5b50\" checked> \u5409\u702c\u7ae0\u5b50<\/label><br \/>\n          <label class=\"cb-label\"><input type=\"checkbox\" class=\"cb-researcher\" value=\"Phung-Duc Tuan\" checked> Phung-Duc Tuan<\/label><br \/>\n          <label class=\"cb-label\"><input type=\"checkbox\" class=\"cb-researcher\" value=\"\u4eca\u5009\u6681\" checked> \u4eca\u5009\u6681<\/label><br \/>\n        <\/span><br \/>\n        <label for=\"multi-keyword\">\u30ad\u30fc\u30ef\u30fc\u30c9\u691c\u7d22:<\/label><br \/>\n        <input type=\"text\" id=\"multi-keyword\" placeholder=\"\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u5165\u529b...\"><br \/>\n        <button class=\"btn-reset\">\u30ea\u30bb\u30c3\u30c8<\/button><br \/>\n        <span class=\"filter-count\" id=\"multi-filter-count\"><\/span>\n      <\/div>\n<table id=\"multi-table\">\n<thead>\n<tr>\n<th>#<\/th>\n<th>\u7814\u7a76\u8005<\/th>\n<th>\u8457\u8005<\/th>\n<th>\u30bf\u30a4\u30c8\u30eb<\/th>\n<th>\u66f8\u8a8c\u60c5\u5831<\/th>\n<th>\u51fa\u7248\u5e74<\/th>\n<th>\u30ad\u30fc\u30ef\u30fc\u30c9<\/th>\n<th>\u30ea\u30f3\u30af<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>1<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Valois, Pedro H. V.; Souza, Lincon S.; Shimomoto, Erica K.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation<\/td>\n<td>TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, Vol.13, pp.1436-1458<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1162\/TACL.a.48\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001606561600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>2<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Romanowski, Adrianna; Valois, Pedro H. V.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">From Punchlines to Predictions: A Metric to Assess LLM Performance in Identifying Humor in Stand-Up Comedy<\/td>\n<td>PROCEEDINGS OF THE WORKSHOP ON COGNITIVE MODELING AND COMPUTATIONAL LINGUISTICS, pp.36-46<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001660867600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>3<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Mahyub, Maha; Souza, Lincon S.; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Signal latent subspace: Anew representation for environmental sound classification<\/td>\n<td>APPLIED ACOUSTICS, Vol.225<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Signal processing; Environmental sound classification; Product Grassmann manifold; Subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apacoust.2024.110181\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001280974900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>4<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Simo-Serra, Edgar; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Controllable multi-domain semantic artwork synthesis<\/td>\n<td>COMPUTATIONAL VISUAL MEDIA, Vol.10, No.2, pp.355-373<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">semantic artwork synthesis; generative adversarial network (GAN); datasets; non-photorealistic rendering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s41095-023-0356-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001135210800002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>5<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Valois, Pedro H. V.; Niinuma, Koichiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space<\/td>\n<td>2024 IEEE\/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION, WACV 2024, pp.4817-4826<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/WACV57701.2024.00476\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001222964604093&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>6<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Akahori, Shizuka; Iizuka, Satoshi; Mawatari, Ken; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor<\/td>\n<td>IMAGE AND VIDEO TECHNOLOGY, PSIVT 2023, Vol.14403, pp.182-196<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">3D point cloud; Novelty detection; Anomaly detection<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-97-0376-0_14\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001207241200014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>7<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Al-Qadasi, Hamzah; Benchadi, Djafer Yahia M.; Chehida, Salim; Fukui, Kazuhiro; Bensalem, Saddek<\/td>\n<td class=\"title\">Neural Network Innovations in Image-Based Malware Classification: A Comparative Study<\/td>\n<td>ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 4, AINA 2024, Vol.202, pp.252-265<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-57916-5_22\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001264790400022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>8<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Diffusion-Based Semantic Image Synthesis from Sparse Layouts<\/td>\n<td>ADVANCES IN COMPUTER GRAPHICS, CGI 2023, PT II, Vol.14496, pp.441-454<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Semantic Image Synthesis; Sparse Input; Diffusion Models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-50072-5_35\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001152277800035&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>9<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Beleza, Suzana Rita Alves; Shimomoto, Erica K.; Souza, Lincon S.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Slow feature subspace: A video representation based on slow feature analysis for action recognition<\/td>\n<td>MACHINE LEARNING WITH APPLICATIONS, Vol.14<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Human action recognition; Slow feature analysis; Subspace-based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.mlwa.2023.100493\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001221464500002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>10<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Sogi, Naoya; Kobayashi, Takumi; Xue, Jing-Hao; Maki, Atsuto<\/td>\n<td class=\"title\">Discriminant Feature Extraction by Generalized Difference Subspace<\/td>\n<td>IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol.45, No.2, pp.1618-1635<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Discriminant analysis; fisher criterion; subspace representation; PCA without data centering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TPAMI.2022.3168557\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000912386000019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>11<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hao, Guoqing; Iizuka, Satoshi; Hara, Kensho; Simo-Serra, Edgar; Kataoka, Hirokatsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Diffusion-based Holistic Texture Rectification and Synthesis<\/td>\n<td>PROCEEDINGS OF THE SIGGRAPH ASIA 2023 CONFERENCE PAPERS<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Texture rectification; texture synthesis; diffusion models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3610548.3618233\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001278296700087&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>12<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Taniguchi, Ko; Noguchi, Takahiro; Iizuka, Satoshi; Ando, Hiroyasu; Abe, Takashi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">A New Large-Scale Video Dataset of the Eyelid Opening Degree for Deep Regression-Based PERCLOS Estimation<\/td>\n<td>MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2023 WORKSHOPS, Vol.14394, pp.45-55<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Vigilance Level Estimation; PERCLOS; Eyelid Opening Degree; Dataset Construction; Regression Model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-47425-5_5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001211854500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>13<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yahia, Djafer; Benchadi, Messaoud; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Malware detection using Kernel Constrained Subspace Method<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10215631\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>14<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Okada, Takuhiro; Huang, Yuantian; Hao, Guoqing; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Low-Level Feature Aggregation Networks for Disease Severity Estimation of Coffee Leaves<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10215626\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>15<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hiraoka, Yutaro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Deep Randomized Time Warping for Action Recognition<\/td>\n<td>2023 18TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND APPLICATIONS, MVA<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/MVA57639.2023.10216189\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001057888900064&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>16<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hao, Guoqing; Iizuka, Satoshi; Hara, Kensho; Kataoka, Hirokatsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Natural Image Decay With a Decay Effects Generator<\/td>\n<td>IEEE ACCESS, Vol.11, pp.120402-120418<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Arbitrary-sized image generation; generative adversarial networks; image decay; image editing; image manipulation; image processing; image weathering; texture generation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3328171\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001098714700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>17<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yahia, M. Benchadi Djafer; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns<\/td>\n<td>IEEE ACCESS, Vol.11, pp.102492-102507<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Malware; malware image; subspace method; kernel subspace method; occlusion sensitivity analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3313409\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001077102200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>18<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Uchiyama, Tomoki; Sogi, Naoya; Niinuma, Koichiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Visually explaining 3D-CNN predictions for video classification with an adaptive occlusion sensitivity analysis<\/td>\n<td>2023 IEEE\/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), pp.1513-1522<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/WACV56688.2023.00156\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000971500201059&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>19<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Huang, Yuantian; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">FREE-VIEW EXPRESSIVE TALKING HEAD VIDEO EDITING<\/td>\n<td>ICASSP 2023 - 2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, ICASSP<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Talking head; video editing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICASSP49357.2023.10095745\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001549214006040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>20<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Batalo, Bojan; Souza, Lincon S.; Gatto, Bernardo B.; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Temporal-stochastic tensor features for action recognition<\/td>\n<td>MACHINE LEARNING WITH APPLICATIONS, Vol.10<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Action recognition; Tensor data classification; Grassmann manifold; Subspace method; n-mode singular value decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.mlwa.2022.100407\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001223227900005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>21<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo Bentes; Colonna, Juan Gabriel; dos Santos, Eulanda Miranda; Koerich, Alessandro Lameiras; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Discriminative Singular Spectrum Classifier with applications on bioacoustic signal recognition<\/td>\n<td>DIGITAL SIGNAL PROCESSING, Vol.133<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Bioacoustic signal classification; Singular spectrum analysis; Mutual singular spectrum analysis; Signal subspace methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.dsp.2022.103858\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000901797100009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>22<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Sogi, Naoya; Gatto, Bernardo B.; Kobayashi, Takumi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Grassmannian learning mutual subspace method for image set recognition<\/td>\n<td>NEUROCOMPUTING, Vol.517, pp.20-33<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Grassmannian learning mutual subspace; method; Learning subspace methods; Subspace learning; Image recognition; Deep neural networks; Manifold optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2022.10.040\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000884436700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>23<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Mahyub, Maha; Souza, Lincon S.; Batalo, Bojan; Fukui, Kazuhiro<\/td>\n<td class=\"title\">ENVIRONMENTAL SOUND CLASSIFICATION BASED ON CNN LATENT SUBSPACES<\/td>\n<td>2022 INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC 2022)<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">environmental sound classification; CNN features; subspace method; product Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IWAENC53105.2022.9914765\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000934046400062&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>24<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Batalo, Bojan; Souza, Lincon S.; Gatto, Bernardo B.; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Analysis of Temporal Tensor Datasets on Product Grassmann Manifold<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, pp.4868-4876<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00534\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861612704099&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>25<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Scott, Atom; Uchida, Ikuma; Onishi, Masaki; Kameda, Yoshinari; Fukui, Kazuhiro; Fujii, Keisuke<\/td>\n<td class=\"title\">SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, pp.3568-3578<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00401\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861612703073&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>26<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; Santos, Eulanda M. dos; Molinetti, Marco A. F.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Multilinear clustering via tensor Fukunaga-Koontz transform with Fisher eigenspectrum regularization<\/td>\n<td>APPLIED SOFT COMPUTING, Vol.113<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Subspace method; Tensor analysis; Fukunaga-Koontz transform; n-mode SVD<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.asoc.2021.107899\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000724824100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>27<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Zhu, Rui; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Constrained mutual convex cone method for image set based recognition<\/td>\n<td>PATTERN RECOGNITION, Vol.121<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Image-set based method; Convex cone representation; Multiple angles<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2021.108190\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000697551500010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>28<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Shimomoto, Erica K.; Portet, Francois; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Text classification based on the word subspace representation<\/td>\n<td>PATTERN ANALYSIS AND APPLICATIONS, Vol.24, No.3, pp.1075-1093<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Topic classification; Sentiment analysis; Word subspace; Subspace-based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10044-021-00960-6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000628089000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>29<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny V.<\/td>\n<td class=\"title\">Fukunaga-Koontz Convolutional Network with Applications on Character Classification (vol 52, pg 443, 2020)<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.53, No.1, pp.863-863<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-020-10408-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000613033400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>30<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Koerich, Alessandro L.; Fukui, Kazuhiro; Junior, Waldir S. S.<\/td>\n<td class=\"title\">Tensor analysis with n-mode generalized difference subspace<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.171<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Action recognition; Tensor data classification; Generalized difference subspace; n-mode singular value decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2020.114559\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000631642900002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>31<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yamaguchi, Osamu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Image-set based Classification using Multiple Pseudo-whitened Mutual Subspace Method<\/td>\n<td>PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM), pp.296-306<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Image-set based Classification; Whitening Transformation; Multiple Pseudo-Whitened Mutual Subspace Method; Ensemble Method; CNN Features<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0010836500003122\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000819122200032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>32<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Zhu, Rui; Wang, Ziyu; Sogi, Naoya; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data<\/td>\n<td>IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol.31, No.10, pp.3866-3876<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Training; Data models; Support vector machines; Learning systems; Face; Security; Pattern recognition; Classification; convex cone; convex hull; dual analysis; separating hyperplane; subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TNNLS.2019.2946967\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000576436600008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>33<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yang, Wenming; Zhou, Fei; Zhu, Rui; Fukui, Kazuhiro; Wang, Guijin; Xue, Jing-Hao<\/td>\n<td class=\"title\">Deep learning for image super-resolution<\/td>\n<td>NEUROCOMPUTING, Vol.398, pp.291-292<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2019.09.091\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000553601200009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>34<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; Souza, Lincon S.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny V.<\/td>\n<td class=\"title\">A semi-supervised convolutional neural network based on subspace representation for image classification<\/td>\n<td>EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, Vol.2020, No.1<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Subspace method; Shallow networks; Semi-supervised learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s13640-020-00507-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000542795300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>35<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro; Junior, Waldir S. S.; dos Santos, Kenny, V<\/td>\n<td class=\"title\">Fukunaga-Koontz Convolutional Network with Applications on Character Classification<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.52, No.1, pp.443-465<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Subspace method; Shallow networks; Fukunaga-Koontz transform<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-020-10244-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000534722900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>36<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition<\/td>\n<td>PATTERN RECOGNITION, Vol.97<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Enhanced GDA; Randomized time warping; Motion recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2019.107028\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000491609400018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>37<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Sogi, Naoya; Gatto, Bernardo B.; Kobayashi, Takumi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">An Interface between Grassmann manifolds and vector spaces<\/td>\n<td>2020 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), pp.3686-3695<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW50498.2020.00431\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788279003083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>38<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Colonna, Juan G.; Sogi, Naoya; Souza, Lincon S.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Discriminative Singular Spectrum Analysis for bioacoustic classification<\/td>\n<td>INTERSPEECH 2020, pp.2887-2891<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">subspace analysis; Fisher criterion; bioacoustic classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21437\/Interspeech.2020-2134\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000833594103005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>39<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Ch'ng, Shin-Fang; Sogi, Naoya; Purkait, Pulak; Chin, Tat-Jun; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), pp.9680-9686<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icra40945.2020.9196902\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000712319506071&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>40<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Metric Learning with A-based Scalar Product for Image-set Recognition<\/td>\n<td>2020 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), pp.3706-3715<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPRW50498.2020.00433\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788279003085&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>41<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yokoo, Shuhei; Iizuka, Satoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">MLSNET: RESOURCE-EFFICIENT ADAPTIVE INFERENCE WITH MULTI-LEVEL SEGMENTATION NETWORKS<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), pp.1510-1514<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">semantic segmentation; convolutional network; adaptive inference<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icip.2019.8803093\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521828601128&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>42<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Shimomoto, Erica K.; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image<\/td>\n<td>PROCEEDINGS OF MVA 2019 16TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA)<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/mva.2019.8757876\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000484550200004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>43<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sakai, Akinari; Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Gait Recognition Based on Constrained Mutual Subspace Method with CNN Features<\/td>\n<td>PROCEEDINGS OF MVA 2019 16TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA)<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/mva.2019.8758035\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000484550200059&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>44<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">CLASSIFICATION OF BIOACOUSTIC SIGNALS WITH TANGENT SINGULAR SPECTRUM ANALYSIS<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.351-355<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Bioacoustic signals; tangent singular spectrum analysis; Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/icassp.2019.8682493\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000482554000071&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>45<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Wang, Ziyu; Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Cone-based joint sparse modelling for hyperspectral image classification<\/td>\n<td>SIGNAL PROCESSING, Vol.144, pp.417-429<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Hyperspectral image classification; Joint sparse model; Simultaneous orthogonal matching pursuit; Cone; non-negativity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.sigpro.2017.11.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000419412000043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>46<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Nakayama, Taku; Fukui, Kazuhiro<\/td>\n<td class=\"title\">A Method Based on Convex Cone Model for Image-Set Classification with CNN Features<\/td>\n<td>2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Image-set based method; Mutual convex cone method; Convex cone representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000585967401020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>47<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Shimomoto, Erica K.; Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Text Classification based on Word Subspace with Term-Frequency<\/td>\n<td>2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Text classification; Word subspace; Termfrequency; Subspace based methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000585967404050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>48<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Sogi, Naoya; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Action Recognition Method Based on Sets of Time Warped ARMA Models<\/td>\n<td>2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp.1773-1778<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000455146801130&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>49<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Souza, Lincon S.; Gatto, Bernardo B.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">GRASSMANN SINGULAR SPECTRUM ANALYSIS FOR BIOACOUSTICS CLASSIFICATION<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.256-260<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Bioacoustic signals; subspace method; Grassmann singular spectrum analysis; Grassmann manifold<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446384600052&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>50<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Saigo, Hiroto; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images<\/td>\n<td>IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Vol.15, No.1, pp.286-299<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Protein visualization; similarity measures; subspace method; canonical angles; Grassmann discriminant analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TCBB.2016.2603987\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000424479500025&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>51<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Wang, Ziyu; Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection<\/td>\n<td>IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol.26, No.11, pp.5447-5461<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Target detection; hyperspectral image (HSI); cone representation; non-negativity; half-Gaussian distribution; half-Laplace distribution; shrunken estimation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TIP.2017.2740621\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000408817400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>52<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Zhu, Rui; Fukui, Kazuhiro; Xue, Jing-Hao<\/td>\n<td class=\"title\">Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data<\/td>\n<td>INFORMATION SCIENCES, Vol.382, pp.1-14<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Discriminatively ordered subspace; Generalised difference subspace; Generating matrix; SIMCA; Spectral data classification; Subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2016.12.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392792600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>53<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>de Souza, Lincon Sales; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">3D Object Recognition with Enhanced Grassmann Discriminant Analysis<\/td>\n<td>COMPUTER VISION - ACCV 2016 WORKSHOPS, PT III, Vol.10118, pp.345-359<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-54526-4_26\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000426194700026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>54<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Gatto, Bernardo B.; dos Santos, Eulanda M.; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace-based Convolutional Network for Handwritten Character Recognition<\/td>\n<td>2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, pp.1044-1049<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICDAR.2017.173\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000464822500163&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>55<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>de Souza, Lincon Sales; Gatto, Bernardo Bentes; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Enhancing Discriminability of Randomized Time Warping for Motion Recognition<\/td>\n<td>PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017, pp.77-80<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000426950300019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>56<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yataka, Ryoma; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold<\/td>\n<td>ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, pp.208-216<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Three-dimensional Object Recognition; Subspace Representation; Canonical Angles; Grassmann Manifold; Mutual Subspace Method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0006204702080216\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413240500023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>57<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Xue, Jing-Hao; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Randomized time warping for motion recognition<\/td>\n<td>IMAGE AND VISION COMPUTING, Vol.54, pp.1-11<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Feature extraction; Dynamic time warping; Subspace method; Hankel matrix; Motion recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.imavis.2016.07.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000387520500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>58<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Fukui, Kazuhiro; Hino, Hideitsu<\/td>\n<td class=\"title\">Protein Fold Classification Using Large Margin Combination of Distance Metrics<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E99D, No.3, pp.714-723<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">protein fold classification; distance metrics combination; large margin nearest neighbor; kernel learning; optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1587\/transinf.2015EDP7294\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000375973400018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>59<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Tanaka, Shohei; Okazaki, Akio; Kato, Nobuko; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Spotting Fingerspelled Words from Sign Language Video by Temporally Regularized Canonical Component Analysis<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON IDENTITY, SECURITY AND BEHAVIOR ANALYSIS (ISBA)<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000386736600013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>60<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yoshinuma, Takao; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface<\/td>\n<td>IMAGE AND VIDEO TECHNOLOGY, PSIVT 2015, Vol.9431, pp.433-446<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Personal authentication; Facial feature; Shape subspace; Grassmann discriminant analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-29451-3_35\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000374173000035&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>61<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Maki, Atsuto<\/td>\n<td class=\"title\">Difference Subspace and Its Generalization for Subspace-Based Methods<\/td>\n<td>IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol.37, No.11, pp.2164-2177<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Subspace method; mutual subspace method; canonical angles; difference subspace; 3D object recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TPAMI.2015.2408358\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000362411000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>62<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Nosaka, Ryusuke; Fukui, Kazuhiro<\/td>\n<td class=\"title\">HEp-2 cell classification using rotation invariant co-occurrence among local binary patterns<\/td>\n<td>PATTERN RECOGNITION, Vol.47, No.7, pp.2428-2436<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Indirect immunofluorescence; HEp-2 cell classification; Local binary pattern; Rotation invariant co-occurrence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.patcog.2013.09.018\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000334978100014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>63<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yamazaki, Yasuyuki; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Sensing Visual Attention by Sequential Patterns<\/td>\n<td>2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp.483-488<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICPR.2014.92\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000359818000081&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>64<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Hino, Hideitsu; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Combination of Multiple Distance Measures for Protein Fold Classification<\/td>\n<td>2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013), pp.440-445<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">metric learning; large margin nearest neighbor; protein fold classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACPR.2013.139\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000339501000088&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>65<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Hand-Shape Recognition Using the Distributions of Multi-Viewpoint Image Sets<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E95D, No.6, pp.1619-1627<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">hand-shape recognition; multi-viewpoint; kernel orthogonal mutual subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1587\/transinf.E95.D.1619\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000305203800006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>66<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Jiang, Shukun; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Protein structure similarity based on multi-view images generated from 3D molecular visualization<\/td>\n<td>2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), pp.3447-3451<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000343660603127&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>67<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Peris, Martin; Maki, Atsuto; Martull, Sara; Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Towards a Simulation Driven Stereo Vision System<\/td>\n<td>2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), pp.1038-1042<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000343660601033&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>68<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suryanto, Chendra Hadi; Saigo, Hiroto; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Protein Clustering on a Grassmann Manifold<\/td>\n<td>PATTERN RECOGNITION IN BIOINFORMATICS, Vol.7632, pp.71-81<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">protein structure clustering; k-means; Mutual Subspace Method; Grassmann manifold; Gauss Integrals<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000334930400007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>69<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Akihiro, Naoki; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Compound Mutual Subspace Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method<\/td>\n<td>COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, Vol.6469, pp.374-383<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392225500046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>70<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Suter, David; Fukui, Kazuhiro; Tamaki, Toru<\/td>\n<td class=\"title\">Introduction to the Third International Workshop on Subspace Methods<\/td>\n<td>COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, Vol.6469, pp.XX-XX<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000392225500008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>71<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Nosaka, Ryusuke; Ohkawa, Yasuhiro; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Feature Extraction Based on Co-occurrence of Adjacent Local Binary Patterns<\/td>\n<td>ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PT II, Vol.7088, pp.82-91<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\">Image feature extraction; local binary pattern (LBP); co-occurrence; face recognition; texture recognition<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000308515500008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>72<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Igarashi, Yosuke; Fukui, Kazuhiro<\/td>\n<td class=\"title\">3D Object Recognition Based on Canonical Angles between Shape Subspaces<\/td>\n<td>COMPUTER VISION - ACCV 2010, PT IV, Vol.6495, pp.580-591<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000298617900046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>73<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Li, Xi; Fukui, Kazuhiro; Zheng, Nanning<\/td>\n<td class=\"title\">Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles<\/td>\n<td>COMPUTER VISION - ACCV 2009, PT I, Vol.5994, pp.323-+<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000279642500030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>74<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Kitamura, Takuya; Takeuchi, Syogo; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace-based support vector machines for pattern classification<\/td>\n<td>NEURAL NETWORKS, Vol.22, No.5-6, pp.558-567<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">Kernel methods; Least squares; Linear programming; Subspace-based methods; Support vector machines<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neunet.2009.06.026\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000269808300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>75<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Li, Xi; Fukui, Kazuhiro; Zheng, Nanning<\/td>\n<td class=\"title\">Boosting Constrained Mutual Subspace Method for Robust Image-Set Based Object Recognition<\/td>\n<td>21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, pp.1132-1137<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000283727900179&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>76<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Takeuchi, Syogo; Kitamura, Takuya; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace Based Linear Programming Support Vector Machines<\/td>\n<td>IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, pp.1268-+<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280591600185&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>77<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Kitamura, Takuya; Abe, Shigeo; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Subspace Based Least Squares Support Vector Machines for Pattern Classification<\/td>\n<td>IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, pp.1275-+<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280591600186&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>78<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Niigaki, Hitoshi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Classification of Similar 3D Objects with Different Types of Features from Multi-view Images - An Approach to Classify 100 Apples<\/td>\n<td>ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PROCEEDINGS, Vol.5414, pp.1046-1057<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000263213300091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>79<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Li, Xi; Fukui, Kazuhiro<\/td>\n<td class=\"title\">View invariant human action recognition based on factorization and HMMs<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E91D, No.7, pp.1848-1854<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\">action recognition; view invariant; matrix factorization; Hidden Markov Models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/ietisy\/e91-d.7.1848\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000257930400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>80<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Wu, Jianing; Fukui, Kazuhiro<\/td>\n<td class=\"title\">Multiple View Based 3D Object Classification Using Ensemble Learning of Local Subspaces<\/td>\n<td>19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, pp.3511-3514<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000264729001379&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>81<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Li, Xi<\/td>\n<td class=\"title\">Human sensing using the mutual subspace method with multi-view images<\/td>\n<td>PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, pp.1975-1979<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">human sensing; face recognition; multi-camera system; mutual subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255608502083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>82<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Hirafuji, Masayuki; Yoichi, Hideo; Haoming, Hu; Fukatsu, Tokihiro; Tanaka, Kei; Kiura, Takuji; Fukui, Kazuhiro; Ninomiya, Seishi<\/td>\n<td class=\"title\">Architecture of the advanced field severs6<\/td>\n<td>PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, pp.230-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">sensor network; Wi-Fi; Field Server; Web; monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255608500044&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>83<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, Kazuhiro; Yamaguchi, Osamu<\/td>\n<td class=\"title\">The kernel orthogonal mutual subspace method and its application to 3D object recognition<\/td>\n<td>COMPUTER VISION - ACCV 2007, PT II, PROCEEDINGS, Vol.4844, pp.467-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000252603100046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>84<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Fukui, K; Stenger, B; Yamaguchi, O<\/td>\n<td class=\"title\">A framework for 3D object recognition using the kernel constrained mutual subspace method<\/td>\n<td>COMPUTER VISION - ACCV 2006, PT II, Vol.3852, pp.315-324<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000235773200032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>85<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Nishiyama, M; Yamaguchi, O; Fukui, K<\/td>\n<td class=\"title\">Face recognition with the multiple constrained mutual subspace method<\/td>\n<td>AUDIO AND VIDEO BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, Vol.3546, pp.71-80<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000231117100008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>86<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yuasa, M; Yamaguchi, O; Fukui, K<\/td>\n<td class=\"title\">Precise pupil contour detection based on minimizing the energy of pattern and edge<\/td>\n<td>IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Vol.E87D, No.1, pp.105-112<\/td>\n<td class=\"year\">2004<\/td>\n<td class=\"keywords\">pupil contour detection; pattern recognition; edge; detection; energy minimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000188050500015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u798f\u4e95\u548c\u5e83\">\n<td>87<\/td>\n<td class=\"researcher-name\">\u798f\u4e95\u548c\u5e83<\/td>\n<td>Yamaguchi, O; Fukui, K; Maeda, K<\/td>\n<td class=\"title\">Face recognition using temporal image sequence<\/td>\n<td>AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS, pp.318-323<\/td>\n<td class=\"year\">1998<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/AFGR.1998.670968\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000073666400051&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>88<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Mashiko, Sota; Kawamata, Yuji; Nakayama, Tomoru; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Anomaly detection in double-entry bookkeeping data by federated learning system with non-model sharing approach<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Data collaboration; Federated learning; Anomaly detection; Double-entry bookkeeping; Audit; Accounting information<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-26120-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001626761900017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>89<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Li; Fu, Xiangzheng; Yang, Jiahao; Zhang, Xinyi; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang; Liu, Yiping<\/td>\n<td class=\"title\">MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.26, No.6<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">antimicrobial peptide; deep generative networks; multi-objective trade-off; Transformer; Pareto front<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbaf376\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001609977700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>90<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Li; Fu, Xiangzheng; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang; Liu, Yiping<\/td>\n<td class=\"title\">PKAN: Leveraging Kolmogorov\u2013Arnold Networks and Multi-Modal Learning for Peptide Prediction With Advanced Language Models<\/td>\n<td>IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol.29, No.10, pp.7000-7009<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Peptides; Biological information theory; Amino acids; Training; Predictive models; Splines (mathematics); Chemicals; Bioinformatics; Microwave integrated circuits; Computer science; Kolmogorov-arnold network; multi-modality language learning; peptide prediction; interpretability<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/JBHI.2025.3561846\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001589866000020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>91<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nomura, Toshihisa; Kim, June - Sik; Iwata, Osamu; Yamada, Koji; Atsuji, Kohei; Uehara-Yamaguchi, Yukiko; Yoshida, Takuhiro; Inoue, Komaki; Takahagi, Kotaro; Sakurai, Tetsuya; Shinozaki, Kazuo; Ito, Takuro; Suzuki, Kengo; Goda, Keisuke; Mochida, Keiichi<\/td>\n<td class=\"title\">Genetic dissection of nonconventional introns reveals codominant noncanonical splicing code in Euglena<\/td>\n<td>PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol.122, No.39<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Euglena; nonconventional intron; |genome editing; synthetic intron<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1073\/pnas.2509937122\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001589133900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>92<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Long, Changzhou; Huang, Meng; Ye, Xiucai; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Hybrid quantum-classical-quantum convolutional neural networks<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-13417-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001560945300040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>93<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Han, Wu; Zhan, Chao<\/td>\n<td class=\"title\">Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction<\/td>\n<td>BMC BIOLOGY, Vol.23, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Peptides; Toxicity; Structure; Protein language model; Equivariant graph neural networks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-025-02329-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001538292800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>94<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Estimation of conditional average treatment effects on distributed confidential data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.296<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Statistical causal inference; Conditional average treatment effect; Privacy-preserving; Distributed data; Double machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2025.129066\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001541530000009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>95<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Huang, Meng; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CEGI: Causally Explainable Gene Identification Method for Unveiling Developmental Signatures in Human Prefrontal Cortex<\/td>\n<td>CURRENT BIOINFORMATICS<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Single-cell transcriptomics; development-specific gene signatures; explainable gene identification; causality; association; human prefrontal cortex<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936361195250410044441\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001532115900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>96<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Shi, Tianyi; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-Omics clustering by integrating clinical features from large language model<\/td>\n<td>METHODS, Vol.239, pp.64-71<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Spectral clustering; Large language model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2025.03.017\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001464548000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>97<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Nakayama, Tomoru; Kawamata, Yuji; Toyoda, Akihiro; Imakura, Akira; Kagawa, Rina; Sanuki, Masaru; Tsunoda, Ryoya; Yamagata, Kunihiro; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Data collaboration for causal inference from limited medical testing and medication data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Propensity score matching; Privacy-preserving causal inference; Data collaboration framework; Distributed data<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-93509-0\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001469449100048&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>98<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Wang, Yu; Ye, Xiucai; Nagahara, Larry; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism<\/td>\n<td>SCIENTIFIC REPORTS, Vol.15, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Infectious disease; Mobility; LSTM; Attention; Forecasting<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-94089-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001449604200015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>99<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Cui, Yaxuan; Cui, Yang; Ding, Yi; Nakai, Kenta; Wei, Leyi; Le, Yuyin; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">OmniClust: A versatile clustering toolkit for single-cell and spatial transcriptomics data<\/td>\n<td>METHODS, Vol.238, pp.84-94<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">RNA transcriptome sequencing; Deep learning; scRNA-seq; Spatial transcriptomics; Breast cancer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2025.03.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001450647900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>100<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Goto, Masaaki; Futamura, Yasunori; Makishima, Hirokazu; Saito, Takashi; Sakamoto, Noriaki; Iijima, Tatsuo; Tamaki, Yoshio; Okumura, Toshiyuki; Sakurai, Tetsuya; Sakurai, Hideyuki<\/td>\n<td class=\"title\">Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology<\/td>\n<td>JOURNAL OF RADIATION RESEARCH, Vol.66, No.2, pp.144-156<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">radiation therapy; deep learning; digital pathology; cervical cancer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/jrr\/rraf004\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001438584300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>101<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Shang, Yifan; Yang, Xiulong; Pan, Wenqiong; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang<\/td>\n<td class=\"title\">MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model<\/td>\n<td>BMC BIOLOGY, Vol.23, No.1<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Cyclic peptide; Peptide membrane permeability; Interpretable model; Deep learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-025-02166-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001434471600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>102<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Ma, Pengsen; Yu, Zhou; Wang, Jianmin; Liu, Yuansheng; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang<\/td>\n<td class=\"title\">Image-based generation for molecule design with SketchMol<\/td>\n<td>NATURE MACHINE INTELLIGENCE, Vol.7, No.2, pp.244-255<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s42256-025-00982-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001420040800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>103<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Guo, Mengke; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping<\/td>\n<td>METHODS, Vol.233, pp.52-60<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Multi-omics clustering; Contractive autoencoder; Cancer subtyping<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2024.11.013\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001364782000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>104<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shi, Tianyi; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning<\/td>\n<td>METHODS, Vol.231, pp.144-153<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Interpretable features; SHAP values; Latent subspace learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2024.09.014\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001332909100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>105<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Guo, Xiulan; Li, Yayang; Li, Pengyong; Li, Chunyan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.20, No.1, pp.46-58<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Diffusion model; molecule generation; molecule optimization; autoregressive approach; gaussian noise; encode models<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936285493240307071916\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001319446700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>106<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nguyen, Dai Hai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems<\/td>\n<td>MACHINE LEARNING, Vol.113, No.9, pp.6697-6724<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Distributional optimization; Moreau-Yoshida envelopes; Optimal transport<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10994-024-06586-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001268884900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>107<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Xi, Wenyu; Wang, Ruheng; Wang, Li; Ye, Xiucai; Liu, Mingyang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An interpretable deep learning model predicts RNA-small molecule binding sites<\/td>\n<td>FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol.159, pp.557-566<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">RNA-small molecule binding sites prediction; Deep learning; Capsule network; RNA secondary structures<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.future.2024.05.029\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001249465800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>108<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Liu, Ruijun<\/td>\n<td class=\"title\">Integrated convolution and self-attention for improving peptide toxicity prediction<\/td>\n<td>BIOINFORMATICS, Vol.40, No.5<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btae297\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001230745500003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>109<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Liu, Tianyuan; Qiao, Huiyuan; Wang, Zixu; Yang, Xinyan; Pan, Xianrun; Yang, Yu; Ye, Xiucai; Sakurai, Tetsuya; Lin, Hao; Zhang, Yang<\/td>\n<td class=\"title\">CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs<\/td>\n<td>ADVANCED SCIENCE, Vol.11, No.22<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">coding lncRNAs; computational biology; computational precision health; data collection; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/advs.202400009\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001199764100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>110<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Lu, Anh Khoa Augustin; Lin, Jianbo; Futamura, Yasunori; Sakurai, Tetsuya; Tamura, Ryo; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Extraction of local structure differences in silica based on unsupervised learning<\/td>\n<td>PHYSICAL CHEMISTRY CHEMICAL PHYSICS, Vol.26, No.15, pp.11657-11666<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1039\/d3cp06298h\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001195066200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>111<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Zhang, Zhao-Yue; Zhang, Zheng; Ye, Xiucai; Sakurai, Tetsuya; Lin, Hao<\/td>\n<td class=\"title\">A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens<\/td>\n<td>INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, Vol.265<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">lncRNA; Subcellular localization; Multi-label classification; BERT<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ijbiomac.2024.130659\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001219333400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>112<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wang, Zixu; Chen, Yangyang; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network<\/td>\n<td>2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN60899.2024.10650775\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001392668200046&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>113<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Liu, Tianyuan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Deciphering the Complex Characterization of Coding LncRNA<\/td>\n<td>2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN60899.2024.10650681\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001315691506057&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>114<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Cui, Yaxuan; Wei, Leyi; Wang, Ruheng; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.19, No.8, pp.765-776<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Spatial transcriptional expression; self-supervised autoencoder; Fuzzy C-MEANS; Alzheimer's disease; gene ontology enrichment; gene-pathway analyses<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0115748936278884240102094058\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001307809400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>115<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Toward the Application of Differential Privacy to Data Collaboration<\/td>\n<td>IEEE ACCESS, Vol.12, pp.63292-63301<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Differential privacy; dimension reduction; distributed machine learning; federated learning; principal component analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2024.3396146\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001216586000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>116<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative causal inference on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.244<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Statistical causal inference; Quasi-experiment; Propensity score; Distributed data; Privacy-preserving method; Collaborative data analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.123024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001149999000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>117<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Shida; Ye, Xiucai; Dou, Lijun; Sakurai, Tetsuya<\/td>\n<td class=\"title\">FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery<\/td>\n<td>COMPUTERS IN BIOLOGY AND MEDICINE, Vol.168<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Computational biology; Graph neural networks; Molecular fingerprints; Attention mechanism<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.107762\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001134101400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>118<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Jiao, Shihu; Ye, Xiucai; Ao, Chunyan; Sakurai, Tetsuya; Zou, Quan; Xu, Lei<\/td>\n<td class=\"title\">Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites<\/td>\n<td>BIOINFORMATICS, Vol.39, No.11<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btad627\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001096569800010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>119<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Huang, Dong; Ye, Xiucai; Zhang, Ying; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative analysis for drug discovery by federated learning on non-IID data<\/td>\n<td>METHODS, Vol.219, pp.1-7<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Collaborative analysis; Drug discovery; Federated learning; Non-IID dataset; Quantitative structure -activity relationship<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2023.09.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001079244300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>120<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Shang, Yifan; Shi, Tianyi; Zhang, Weihang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-omics clustering for cancer subtyping based on latent subspace learning<\/td>\n<td>COMPUTERS IN BIOLOGY AND MEDICINE, Vol.164<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Multi-omics clustering; Cancer subtyping; Latent subspace learning; Incomplete multi-omics<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.107223\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001048303900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>121<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Uchitachimoto, Go; Sukegawa, Noriyoshi; Kojima, Masayuki; Kagawa, Rina; Oyama, Takashi; Okada, Yukihiko; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data collaboration analysis in predicting diabetes from a small amount of health checkup data<\/td>\n<td>SCIENTIFIC REPORTS, Vol.13, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-023-38932-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001067878900039&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>122<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nguyen, Dai Hai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains<\/td>\n<td>MACHINE LEARNING, Vol.112, No.8, pp.2845-2869<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Distributional optimization; Functional gradient descent; Mirror descent<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10994-023-06350-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001021054300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>123<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Shida; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">MRMD3.0: A Python Tool and Webserver for Dimensionality Reduction and Data Visualization via an Ensemble Strategy<\/td>\n<td>JOURNAL OF MOLECULAR BIOLOGY, Vol.435, No.14<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jmb.2023.168116\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001055302200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>124<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Lin, Jianbo; Tamura, Ryo; Futamura, Yasunori; Sakurai, Tetsuya; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces<\/td>\n<td>PHYSICAL CHEMISTRY CHEMICAL PHYSICS, Vol.25, No.27, pp.17978-17986<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1039\/d3cp01922e\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001018523400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>125<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Another use of SMOTE for interpretable data collaboration analysis<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.228<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Interpretable data collaboration analysis; Anchor data; SMOTE; Privacy-preserving integrated analysis; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2023.120385\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001001059700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>126<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko; Fujii, Tomoya; Sakamoto, Teppei; Abe, Hiroyuki<\/td>\n<td class=\"title\">Non-readily identifiable data collaboration analysis for multiple datasets including personal information<\/td>\n<td>INFORMATION FUSION, Vol.98<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving analysis; Multi-source data fusion; Data collaboration analysis; Personal information; Identifiability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.inffus.2023.101826\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001006143900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>127<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex moment-based eigensolver coupled with two Krylov subspaces<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.432<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Block Arnoldi iteration; Generalized eigenvalue problem; Nonlinear eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2023.115283\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000992867500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>128<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kimura, Hironobu; Fukutani, Yuma; Tsuneyoshi, Norihiro; Saito, Kodai; Hayashi, Makoto; Yamazaki, Yosuke; Torisawa, Yusuke; Sakurai, Tetsuya; Watanabe, Sono; Miyata, Kotoko; Sato, Yuka; Goto, Kumiko; Naritomi, Yoichi; Ozaki, Tohru; Yamada, Masashi; Kurachi, Kenji; Hosoya, Tomonori; Takeno, Yuriko; Nishigaki, Fusako; Tamura, Kouichi<\/td>\n<td class=\"title\">HLCN061: An \"Off-the-Shelf\" Gene Engineered Human iPSC-Derived NK Cell Product for the Treatment of Solid Tumors<\/td>\n<td>MOLECULAR THERAPY, Vol.31, No.4, pp.741-741<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001045144203317&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>129<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ao, Chunyan; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Yu, Liang<\/td>\n<td class=\"title\">m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation<\/td>\n<td>BMC BIOLOGY, Vol.21, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">5-Methyluridine; Support vector machines; Multi-view feature; Word2Vec<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s12915-023-01596-0\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000974006900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>130<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Yangyang; Wang, Zixu; Zeng, Xiangxiang; Li, Yayang; Li, Pengyong; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Molecular language models: RNNs or transformer?<\/td>\n<td>BRIEFINGS IN FUNCTIONAL GENOMICS, Vol.22, No.4, pp.392-400<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">molecular; recurrent neural Networks; language model; transformer; drug generation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bfgp\/elad012\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000972693100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>131<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Yangyang; Wang, Zixu; Wang, Lei; Wang, Jianmin; Li, Pengyong; Cao, Dongsheng; Zeng, Xiangxiang; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Deep generative model for drug design from protein target sequence<\/td>\n<td>JOURNAL OF CHEMINFORMATICS, Vol.15, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1186\/s13321-023-00702-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000962413800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>132<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Shi, Tianyi; Cui, Yaxuan; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Interactive gene identification for cancer subtyping based on multi-omics clustering<\/td>\n<td>METHODS, Vol.211, pp.61-67<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Interactive genes identification; Cancer subtyping; Multi-omics clustering; Gene co-expression network<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ymeth.2023.02.005\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000948122100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>133<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Matsuda, Momo; Futamura, Yasunori; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data<\/td>\n<td>FRONTIERS OF COMPUTER SCIENCE, Vol.17, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">single-cell RNA-sequencing; feature selection; principal component analysis; highly variable gene detection; background noise; clustering analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11704-022-1172-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000837701000018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>134<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-view Network Embedding with Structure and Semantic Contrastive Learning<\/td>\n<td>2023 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, ICME, pp.870-875<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Multi-view Networks; Network Embedding; Contrastive Learning; Node Classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICME55011.2023.00154\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001062707300141&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>135<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Common and Unique Features Learning in Multi-view Network Embedding<\/td>\n<td>2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN54540.2023.10191682\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001046198705009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>136<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">LSEC: Large-scale spectral ensemble clustering<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.27, No.1, pp.59-77<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Ensemble clustering; spectral clustering; landmark selection; approximate similarity computation; large-scale clustering<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-216240\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000925119600004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>137<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Zhang, Xin; Wei, Lesong; Ye, Xiucai; Zhang, Kai; Teng, Saisai; Li, Zhongshen; Jin, Junru; Kim, Minjae; Sakurai, Tetsuya; Cui, Lizhen; Manavalan, Balachandran; Wei, Leyi<\/td>\n<td class=\"title\">SiameseCPP: a sequence-based Siamese network to predict cell -penetrating peptides by contrastive learning<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.24, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac545\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000903059700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>138<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Tsunoda, Ryoya; Kagawa, Rina; Yamagata, Kunihiro; Sakurai, Tetsuya<\/td>\n<td class=\"title\">DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.137<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Privacy-preserving survival analysis; Cox proportional hazards model; Data collaboration framework<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104264\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000897576200006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>139<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Zhang, Zhao-Yue; Ning, Lin; Ye, Xiucai; Yang, Yu-He; Futamura, Yasunori; Sakurai, Tetsuya; Lin, Hao<\/td>\n<td class=\"title\">iLoc-miRNA: extracellular\/intracellular miRNA prediction using deep BiLSTM with attention mechanism<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.23, No.5<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">miRNA; subcellular localization; deep bidirectional long short-term memory; multi-head self-attention; web server<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac395\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000850650800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>140<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chang, Yun-Hsuan; Vuong, Cat-Khanh; Ngo, Nhat-Hoang; Yamashita, Toshiharu; Ye, Xiucai; Futamura, Yasunori; Fukushige, Mizuho; Obata-Yasuoka, Mana; Hamada, Hiromi; Osaka, Motoo; Hiramatsu, Yuji; Sakurai, Tetsuya; Ohneda, Osamu<\/td>\n<td class=\"title\">Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b\/HIF1\u03b1 signaling pathway<\/td>\n<td>SCIENTIFIC REPORTS, Vol.12, No.1<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-022-17767-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000837764800021&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>141<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Huang, Meng; Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Missing Value Imputation With Low-Rank Matrix Completion in Single-Cell RNA-Seq Data by Considering Cell Heterogeneity<\/td>\n<td>FRONTIERS IN GENETICS, Vol.13<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">single-cell RNA-seq; dropout; imputation; low-rank matrix completion; precision medicine<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3389\/fgene.2022.952649\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000834116600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>142<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Divide-and-conquer based large-scale spectral clustering<\/td>\n<td>NEUROCOMPUTING, Vol.501, pp.664-678<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Spectral clustering; Landmark selection; Approximate similarity computation; Large-scale clustering; Large-scale datasets<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2022.06.006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000822699900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>143<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Yamashita, Takumi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A parallel computing method for the higher order tensor renormalization group<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.278<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Tensor network; The higher order tensor renormalization; group; Parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2022.108423\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000809733300005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>144<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Huber, Sarah; Futamura, Yasunori; Galgon, Martin; Imakura, Akira; Lang, Bruno; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Flexible subspace iteration with moments for an effective contour integration-based eigensolver<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.29, No.6<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">contour-integral based eigensolver; Sakurai-Sugiura methods; subspace iteration<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2447\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000788801800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>145<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma<\/td>\n<td>JOURNAL OF BIOMEDICAL INFORMATICS, Vol.128<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Reinforcement learning (RL); Active feature selection; Renal cell carcinoma (RCC); Subtypes classification; Precision medicine<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.jbi.2022.104049\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000780448000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>146<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.23, No.3<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">drug-target interactions prediction; deep learning; multiview network embedding<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbac059\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000767438500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>147<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wei, Lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi<\/td>\n<td class=\"title\">ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning<\/td>\n<td>BIOINFORMATICS, Vol.38, No.6, pp.1514-1524<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btac006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000764890000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>148<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank<\/td>\n<td>BIOINFORMATICS, Vol.38, No.7, pp.1964-1971<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btac048\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000756731200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>149<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Tamura, Ryo; Matsuda, Momo; Lin, Jianbo; Futamura, Yasunori; Sakurai, Tetsuya; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations<\/td>\n<td>PHYSICAL REVIEW B, Vol.105, No.7<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevB.105.075107\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000752805300002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>150<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Yifan; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation<\/td>\n<td>PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2022, pp.554-557<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">program synthesis; genetic programming; knowledge; adaptation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3520304.3528891\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001035469400160&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>151<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>He, Yifan; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives<\/td>\n<td>2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), pp.14-21<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">program synthesis; PushGP; adaptive replacement mutation; subprogram archive<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SSCI51031.2022.10022128\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000971973800003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>152<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamazoe, Takaya; Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Image Data Recoverability Against Data Collaboration and Its Countermeasure<\/td>\n<td>SCIENCE OF CYBER SECURITY, SCISEC 2022 WORKSHOPS, Vol.1680, pp.3-15<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Privacy; Dimensionality reduction; GAN<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-7769-5_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000917179200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>153<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Xue, Yuyang; Ye, Xiucai; Wei, Lesong; Zhang, Xin; Sakurai, Tetsuya; Wei, Leyi<\/td>\n<td class=\"title\">Better Performance with Transformer: CPPFormer in the Precise Prediction of Cell-penetrating Peptides<\/td>\n<td>CURRENT MEDICINAL CHEMISTRY, Vol.29, No.5, pp.881-893<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Cell-penetrating peptides; deep learning; drug penetration; transformer; feature extractor; classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/0929867328666210920103140\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000759019400009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>154<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Hongjia; Zhang, Ke; Sakurai, Tetsuya<\/td>\n<td class=\"title\">The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.29, No.2<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">backward error; contour integral method; linearization; polynomial eigenvalue problem; tropical scaling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2413\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000700325300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>155<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan; Xu, Lei; Lin, Chen<\/td>\n<td class=\"title\">Current status and future prospects of drug-target interaction prediction<\/td>\n<td>BRIEFINGS IN FUNCTIONAL GENOMICS, Vol.20, No.5, pp.312-322<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">drug-target interaction; drug development; drug repurposing; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bfgp\/elab031\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000743509700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>156<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Inaba, Hiroaki; Okada, Yukihiko; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Interpretable collaborative data analysis on distributed data<\/td>\n<td>EXPERT SYSTEMS WITH APPLICATIONS, Vol.177<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborat i v e data analysis; Distributed data; Interpretability; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.eswa.2021.114891\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000663298900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>157<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Wei, Lesong; Ye, Xiucai; Xue, Yuyang; Sakurai, Tetsuya; Wei, Leyi<\/td>\n<td class=\"title\">ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.22, No.5<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbab041\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000709461800078&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>158<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan<\/td>\n<td class=\"title\">Application of learning to rank in bioinformatics tasks<\/td>\n<td>BRIEFINGS IN BIOINFORMATICS, Vol.22, No.5<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">LTR; bioinformatics; multiple research tasks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/bib\/bbaa394\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000709461800011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>159<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Novelty Detection for Distributed Data by a Probabilistic Method<\/td>\n<td>ASIAN CONFERENCE ON MACHINE LEARNING, VOL 157, Vol.157, pp.932-947<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Novelty detection; Distributed data; Collaborative data analysis framework; Intermediate representation; Collaborative kernel<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001230093100061&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>160<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kobayashi, Yuta; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Dynamic Adaptation of Decomposition Vector Set Size for MOEA\/D<\/td>\n<td>PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2021 COMPANION, pp.181-182<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">MOEA\/D; Auto Adaptation; Weight Vectors; Multi Objective Optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3449726.3459453\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001556500100091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>161<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Wakaki, Ryota; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Graph Partitioning Using Geodesic Distance-based Projection<\/td>\n<td>2021 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC)<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">graph partitioning; spectral method; shared-memory parallel algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/HPEC49654.2021.9622831\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000766311400049&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>162<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Clustering Joint Deep Embedding Learning by Autoencoder<\/td>\n<td>2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IJCNN52387.2021.9533825\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000722581704031&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>163<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Scaling Method for Batch Effect Correction of Gene Expression Data Based on Spectral Clustering<\/td>\n<td>CURRENT BIOINFORMATICS, Vol.16, No.4, pp.505-511<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Batch effects; spectral clustering; scaling adjustment; dimensionality reduction; microarray; single-cell RNA-seq<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2174\/1574893615999200818093540\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000669437400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>164<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Baek, Suhyeon; Imakura, Akira; Sakurai, Tetsuya; Kataoka, Ichiro<\/td>\n<td class=\"title\">Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.1-13<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Deep neural networks; High performance; Nonlinear semi-nonnegative matrix factorization; Backpropagation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>165<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data<\/td>\n<td>KNOWLEDGE MANAGEMENT AND ACQUISITION FOR INTELLIGENT SYSTEMS, PKAW 2020, Vol.12280, pp.14-29<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Collaborative data analysis; Distributed data; Classification; Dimensionality reduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-69886-7_2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001557199100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>166<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Bogdanova, Anna; Attoh-Okine, Nii; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Risk and Advantages of Federated Learning for Health Care Data Collaboration<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.3<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001078\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000618621100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>167<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Zhang, Weihang; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning<\/td>\n<td>CELLS, Vol.9, No.9<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">single-cell RNA-seq; machine learning; interactive gene groups; co-expression networks; subgraph learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/cells9091938\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000586092200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>168<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An oversampling framework for imbalanced classification based on Laplacian eigenmaps<\/td>\n<td>NEUROCOMPUTING, Vol.399, pp.107-116<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Imbalanced data; Oversampling; SMOTE; Laplacian eigenmaps<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2020.02.081\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000536805700010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>169<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Anomaly Detection in Large Graphs Using a Complex Moment-Based Eigenvalue Solver<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001054\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>170<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets<\/td>\n<td>ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, Vol.6, No.2<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Data collaboration analysis; Distributed data sets; Intermediate representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1061\/AJRUA6.0001058\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527936400011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>171<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Pereira, Jair, Jr.; Aranha, Claus; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design<\/td>\n<td>2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">automatic algorithm generation; training scheduling; meta-heuristic; hyper-heuristic; grammatical evolution<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000703998202064&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>172<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning<\/td>\n<td>PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING IN ASIA-PACIFIC REGION (HPC ASIA 2021), pp.90-99<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">sparse generalized eigenvalue problem; contour integral-based solver; block Krylov subspace method; shift-invert preconditioning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3432261.3432269\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000682970300010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>173<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace<\/td>\n<td>PROCEEDINGS OF INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING IN ASIA-PACIFIC REGION (HPC ASIA 2021), pp.83-89<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">dimensionality reduction; complex moment-based method; parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3432261.3432267\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000682970300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>174<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Hubness-based Sampling Method for Nystrom Spectral Clustering<\/td>\n<td>2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Spectral clustering; Sampling methods; Nystrom method; Hubness score<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000626021403124&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>175<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Ensemble Learning for Spectral Clustering<\/td>\n<td>20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020), pp.1094-1099<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Ensemble clustering; Spectral clustering; Graph Laplacian<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICDM50108.2020.00131\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000630177700121&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>176<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Matsuda, Momo; Morikuni, Keiichi; Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multiclass spectral feature scaling method for dimensionality reduction<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.24, No.6, pp.1273-1287<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Dimensionality reduction; spectral clustering; feature scaling; machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-194942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000603258100004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>177<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Zhang, Weihang; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer<\/td>\n<td>IEEE ACCESS, Vol.8, pp.154354-154362<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Unsupervised feature selection; non-small-cell lung cancer; subtype classification<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2020.3018480\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000566098800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>178<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Chen, Hongjia; Meng, Jie; Sakurai, Tetsuya; Wang, Xiang<\/td>\n<td class=\"title\">Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.26, No.4<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">backward error; growth factor; heavily damped QEP; linearizations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.2253\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000474224800011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>179<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Alvermann, Andreas; Basermann, Achim; Bungartz, Hans-Joachim; Carbogno, Christian; Ernst, Dominik; Fehske, Holger; Futamura, Yasunori; Galgon, Martin; Hager, Georg; Huber, Sarah; Huckle, Thomas; Ida, Akihiro; Imakura, Akira; Kawai, Masatoshi; Koecher, Simone; Kreutzer, Moritz; Kus, Pavel; Lang, Bruno; Lederer, Hermann; Manin, Valeriy; Marek, Andreas; Nakajima, Kengo; Nemec, Lydia; Reuter, Karsten; Rippl, Michael; Roehrig-Zoellner, Melven; Sakurai, Tetsuya; Scheffler, Matthias; Scheurer, Christoph; Shahzad, Faisal; Brambila, Danilo Simoes; Thies, Jonas; Wellein, Gerhard<\/td>\n<td class=\"title\">Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.699-717<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">ELPA-AEO; ESSEX; Eigensolver; Parallel; Mixed precision<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00360-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>180<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Imamura, Toshiyuki; Nakajima, Kengo<\/td>\n<td class=\"title\">International workshop on eigenvalue problems: algorithms; software and applications, in petascale computing (EPASA2018)<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.561-562<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00367-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>181<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Du, Lei; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Simultaneous band reduction of two symmetric matrices<\/td>\n<td>COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS, Vol.77, No.8, pp.2207-2220<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Simultaneous band reduction; Dense symmetric matrices; Matrix pencil; WY representation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2018.12.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000463303000012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>182<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Distributed Collaborative Feature Selection Based on Intermediate Representation<\/td>\n<td>PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.4142-4149<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000761735104041&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>183<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction<\/td>\n<td>THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE \/ THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE \/ NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, pp.3910-3918<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000485292603114&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>184<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei<\/td>\n<td class=\"title\">Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer<\/td>\n<td>INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, Vol.16, No.7, pp.949-959<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">secondary cancer; risk factors; class imbalance; patient heterogeneity; spectral clustering; ensemble learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7150\/ijms.33820\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000476634100005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>185<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Inoue, Yuto; Sakurai, Tetsuya; Futamura, Yasunori<\/td>\n<td class=\"title\">Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks<\/td>\n<td>NEURAL PROCESSING LETTERS, Vol.47, No.3, pp.815-827<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Deep neural networks; Nonlinear semi-nonnegative matrix factorizations; Parallel implementation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11063-017-9642-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000434268000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>186<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Tsukamoto, Shigeru; Ono, Tomoya<\/td>\n<td class=\"title\">Contour integral method for obtaining the self-energy matrices of electrodes in electron transport calculations<\/td>\n<td>PHYSICAL REVIEW B, Vol.97, No.19<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevB.97.195449\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000433287800012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>187<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure<\/td>\n<td>PARALLEL COMPUTING, Vol.74, pp.34-48<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Nonlinear eigenvalue problem; Complex moment-based eigensolver; Block communication-avoiding Arnoldi; Block Krylov subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.parco.2017.11.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000428486900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>188<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Matsuda, Momo; Morikuni, Keiichi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Feature Scaling Method for Supervised Dimensionality Reduction<\/td>\n<td>PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.2560-2566<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000764175402098&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>189<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Lavinas, Yuri; Aranha, Claus; Sakurai, Tetsuya; Ladeira, Marcelo<\/td>\n<td class=\"title\">Experimental Analysis of the Tournament Size on Genetic Algorithms<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3647-3653<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00617\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884803112&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>190<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Liu, Zhi<\/td>\n<td class=\"title\">Large Scale Spectral Clustering Using Sparse Representation Based on Hubness<\/td>\n<td>2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE &amp; COMPUTING, ADVANCED &amp; TRUSTED COMPUTING, SCALABLE COMPUTING &amp; COMMUNICATIONS, CLOUD &amp; BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD\/SCALCOM\/UIC\/ATC\/CBDCOM\/IOP\/SCI), pp.1731-1737<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">large scale; spectral clustering; sparse presentation; hubness<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SmartWorld.2018.00293\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458742900257&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>191<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.61-64<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">tensor renormalization group (TRG); randomized singular value decomposition; cutoff<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.61\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>192<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.10, pp.77-80<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">generalized eigenvalue problem; dense matrix; contour integral method; block Krylov subspace method; distributed computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.10.77\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000454845300020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>193<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Yamada, Haruka; Imakura, Akira; Imamura, Toshiyuki; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Optimization of reordering procedures in HOTRG for distributed parallel computing<\/td>\n<td>2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018), pp.957-966<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Tensor network; Higher-order tensor renormalization group (HOTRG); Optimization for reordering procedures; 3D classical cubic lattice Ising model; Distributed parallel computing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/IPDPSW.2018.00150\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000541051600108&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>194<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning<\/td>\n<td>JOURNAL OF UNIVERSAL COMPUTER SCIENCE, Vol.24, No.6, pp.725-741<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">unsupervised feature selection; structure learning; local regression; discriminant analysis; gene selection; microarray gene expression data.<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000440319400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>195<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral clustering with adaptive similarity measure in Kernel space<\/td>\n<td>INTELLIGENT DATA ANALYSIS, Vol.22, No.4, pp.751-765<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Spectral clustering; Kernel space; similarity measure; adaptive neighbors; local structure<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3233\/IDA-173436\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000437253200005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>196<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems<\/td>\n<td>PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I, Vol.10777, pp.600-611<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Block SS-Hankel method; Structure-preserving; Hermitian generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-78024-5_52\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458563300052&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>197<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nakata, Ayako; Futamura, Yasunori; Sakurai, Tetsuya; Bowler, David R.; Miyazaki, Tsuyoshi<\/td>\n<td class=\"title\">Efficient Calculation of Electronic Structure Using O(N) Density Functional Theory<\/td>\n<td>JOURNAL OF CHEMICAL THEORY AND COMPUTATION, Vol.13, No.9, pp.4146-4153<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1021\/acs.jctc.7b00385\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000410867500018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>198<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Chen, Hongjia; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Improving backward stability of Sakurai-Sugiura method with balancing technique in polynomial eigenvalue problem<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.357-375<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0016-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>199<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Futamura, Yasunori; Yano, Takahiro; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A real-valued block conjugate gradient type method for solving complex symmetric linear systems with multiple right-hand sides<\/td>\n<td>APPLICATIONS OF MATHEMATICS, Vol.62, No.4, pp.333-355<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.21136\/AM.2017.0023-17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000407826200003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>200<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.75, No.2, pp.413-433<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex moment-based eigensolver; Generalized eigenvalue problem; Block Krylov subspace method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-016-0241-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402080400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>201<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Xiao, Jinyou; Zhang, Chuanzeng; Huang, Tsung-Ming; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Solving large-scale nonlinear eigenvalue problems by rational interpolation and resolvent sampling based Rayleigh-Ritz method<\/td>\n<td>INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, Vol.110, No.8, pp.776-800<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">eigenvalue problems; nonlinear solvers; Rayleigh-Ritz procedure; finite element methods; boundary element methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nme.5441\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000399703600004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>202<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Reduced-Shifted Conjugate-Gradient Method for a Green's Function: Efficient Numerical Approach in a Nano-Structured Superconductor<\/td>\n<td>JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Vol.86, No.1<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSJ.86.014708\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000391858100026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>203<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Iwase, Shigeru; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya; Ono, Tomoya<\/td>\n<td class=\"title\">Efficient and Scalable Calculation of Complex Band Structure using Sakurai-Sugiura Method<\/td>\n<td>SC'17: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Complex band structure; Sakurai-Sugiura method; Oakforest-PACS; Quadratic eigenvalue problem; Density functional theory; Carbon nanotube<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3126908.3126942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000458161700040&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>204<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">An Error Resilience Strategy of a Complex Moment-Based Eigensolver<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.1-18<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>205<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Memory-Saving Technique for the Sakurai-Sugiura Eigenvalue Solver Using the Shifted Block Conjugate Gradient Method<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.187-203<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_13\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>206<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Suno, Hiroya; Nakamura, Yoshifumi; Ishikawa, Ken-Ichi; Kuramashi, Yoshinobu; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Eigenspectrum Calculation of the <i>O<\/i>(<i>a<\/i>)-Improved Wilson-Dirac Operator in Lattice QCD Using the Sakurai-Sugiura Method<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.81-90<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>207<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Maeda, Yasuyuki; Sakurai, Tetsuya; Charles, James; Povolotskyi, Michael; Klimeck, Gerhard; Roman, Jose E.<\/td>\n<td class=\"title\">Numerical Integral Eigensolver for a Ring Region on the Complex Plane<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.19-30<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>208<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Chen, Hongjia; Maeda, Yasuyuki; Imakura, Akira; Sakurai, Tetsuya; Tisseur, Francoise<\/td>\n<td class=\"title\">Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems<\/td>\n<td>JSIAM LETTERS, Vol.9, pp.17-20<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">SS-RR method; quadratic eigenvalue problem; backward error<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.14495\/jsiaml.9.17\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000429566000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>209<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ide, Takanori; Inoue, Yuto; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Highly Parallel Computation of Generalized Eigenvalue Problem in Vibration for Automatic Transmission of Vehicles Using the Sakurai-Sugiura Method and Supercomputers<\/td>\n<td>MATHEMATICAL ANALYSIS OF CONTINUUM MECHANICS AND INDUSTRIAL APPLICATIONS, Vol.26, pp.207-218<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-10-2633-1_16\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000398840400016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>210<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Relationships among contour integral-based methods for solving generalized eigenvalue problems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.33, No.3, pp.721-750<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral-based eigensolvers; Projection methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-016-0224-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389894100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>211<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors<\/td>\n<td>ETRI JOURNAL, Vol.38, No.3, pp.540-550<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Spectral clustering; data analysis; similarity measure; shared nearest neighbors; directed kNN graph<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4218\/etrij.16.0115.0517\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000377082900015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>212<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shimizu, Noritaka; Utsuno, Yutaka; Futamura, Yasunori; Sakurai, Tetsuya; Mizusaki, Takahiro; Otsuka, Takaharu<\/td>\n<td class=\"title\">Stochastic estimation of nuclear level density in the nuclear shell model: An application to parity-dependent level density in <SUP>58<\/SUP>Ni<\/td>\n<td>PHYSICS LETTERS B, Vol.753, pp.13-17<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Nuclear level density; Nuclear shell model; Conjugate gradient method; Parity dependence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.physletb.2015.12.005\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368783600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>213<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Sakurai, Tetsuya; Imakura, Akira; Inoue, Yuto; Futamura, Yasunori<\/td>\n<td class=\"title\">Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks<\/td>\n<td>NEURAL INFORMATION PROCESSING, ICONIP 2016, PT IV, Vol.9950, pp.354-362<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Nonnegative matrix factorizations; Alternating optimization method; Deep neural networks<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-46681-1_43\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389804700043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>214<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Shimizu, Noritaka; Utsuno, Yutaka; Futamura, Yasunori; Sakurai, Tetsuya; Mizusaki, Takahiro; Otsuka, Takaharu<\/td>\n<td class=\"title\">Stochastic estimation of level density in nuclear shell-model calculations<\/td>\n<td>CNR*15 - 5TH INTERNATIONAL WORKSHOP ON COMPOUND-NUCLEAR REACTIONS AND RELATED TOPICS, Vol.122<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1051\/epjconf\/201612202003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000389877200016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>215<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.71, No.1, pp.103-120<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Error bounds; Contour integral-based eigensolver; Rayleigh-Ritz procedure; Generalized eigenvalue problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-015-9987-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000369063900007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>216<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ye, Xiucai; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors<\/td>\n<td>2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000370730601066&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f||\u4eca\u5009\u6681\">\n<td>217<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f, \u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Du, Lei; Sakurai, Tetsuya<\/td>\n<td class=\"title\">A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems<\/td>\n<td>APPLIED MATHEMATICS LETTERS, Vol.32, pp.22-27<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Generalized eigenvalue problems; Contour integral spectral projection; Krylov subspace; Block Arnoldi method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aml.2014.02.007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000335102000005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>218<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Du, Lei; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Block conjugate gradient type methods for the approximation of bilinear form <i>C<SUP>H<\/SUP>A<\/i><SUP>-1<\/SUP><i>B<\/i><\/td>\n<td>COMPUTERS &amp; MATHEMATICS WITH APPLICATIONS, Vol.66, No.12, pp.2446-2455<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Block bilinear form; Block conjugate gradient (CG); Block BiCG; Krylov subspace methods<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2013.09.023\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000328311500003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>219<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Futamura, Yasunori; Tadano, Hiroto<\/td>\n<td class=\"title\">Efficient Parameter Estimation and Implementation of a Contour Integral-Based Eigensolver<\/td>\n<td>JOURNAL OF ALGORITHMS &amp; COMPUTATIONAL TECHNOLOGY, Vol.7, No.3, pp.249-269<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1260\/1748-3018.7.3.249\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000434722500002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>220<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Ota, Yukihiro; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Numerical Construction of a Low-Energy Effective Hamiltonian in a Self-Consistent Bogoliubov-de Gennes Approach of Superconductivity<\/td>\n<td>JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Vol.82, No.9<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">superconductivity; Bogoliubov-de Gennes equations; eigenvalue solver<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSJ.82.094701\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000323819500025&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>221<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Yamazaki, Ichitaro; Tadano, Hiroto; Sakurai, Tetsuya; Ikegami, Tsutomu<\/td>\n<td class=\"title\">Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method<\/td>\n<td>PARALLEL COMPUTING, Vol.39, No.6-7, pp.280-290<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">Parallel eigensolvers; Cauchy integral; Thick restart Lanczos; Accelerator cavity modeling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.parco.2012.04.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000320680300004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>222<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Yano, Takahiro; Futamura, Yasunori; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Multi-GPU scalable implementation of a contour-integral-based eigensolver for real symmetric dense generalized eigenvalue problems<\/td>\n<td>2013 EIGHTH INTERNATIONAL CONFERENCE ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC 2013), pp.121-127<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/3PGCIC.2013.24\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000329179100017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>223<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Futamura, Yasunori; Sakurai, Tetsuya; Furuya, Shinnosuke; Iwata, Jun-Ichi<\/td>\n<td class=\"title\">Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations<\/td>\n<td>HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE - VECPAR 2012, Vol.7851, pp.226-235<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000342997100023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>224<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nakamura, Y.; Ishikawa, K. -I.; Kuramashi, Y.; Sakurai, T.; Tadano, H.<\/td>\n<td class=\"title\">Modified block BiCGSTAB for lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.183, No.1, pp.34-37<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace; Domain decomposition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2011.08.010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000297494600007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>225<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Mizusaki, Takahiro; Kaneko, Kazunari; Honma, Michio; Sakurai, Tetsuya<\/td>\n<td class=\"title\">FILTER DIAGONALIZATION: A NEW METHOD FOR LARGE-SCALE SHELL-MODEL CALCULATIONS<\/td>\n<td>ACTA PHYSICA POLONICA B, Vol.42, No.3-4, pp.447-450<\/td>\n<td class=\"year\">2011<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5506\/APhysPolB.42.447\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000289009300008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>226<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Yagi, Toru; Ishimoto, Takayoshi; Ikegami, Tsutomu; Tadano, Hiroto; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">Parallel Fock Matrix Construction with Distributed Shared Memory Model for the FMO-MO Method<\/td>\n<td>JOURNAL OF COMPUTATIONAL CHEMISTRY, Vol.31, No.13, pp.2381-2388<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">parallel Fock matrix construction; FMO-MO method; distributed shared memory; large MO calculation; Sakurai Sugiura method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/jcc.21531\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280890700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>227<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Mizusaki, Takahiro; Kaneko, Kazunari; Honma, Michio; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Filter diagonalization of shell-model calculations<\/td>\n<td>PHYSICAL REVIEW C, Vol.82, No.2<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1103\/PhysRevC.82.024310\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280817700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>228<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Asakura, Junko; Sakurai, Tetsuya; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji<\/td>\n<td class=\"title\">A numerical method for polynomial eigenvalue problems using contour integral<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.27, No.1, pp.73-90<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Polynomial eigenvalue problem; Matrix polynomial; Contour integral; Projection method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-010-0005-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000280559600006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>229<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Senzaki, Kenta; Tadano, Hiroto; Sakurai, Tetsuya; Bai, Zhaojun<\/td>\n<td class=\"title\">A METHOD FOR PROFILING THE DISTRIBUTION OF EIGENVALUES USING THE AS METHOD<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.839-853<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Eigenvalue distribution; Profiling eigenvalues; Algebraic sub-structuring; CIRR<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405870\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>230<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Tadano, Hiroto; Ikegami, Tsutomu; Nagashima, Umpei<\/td>\n<td class=\"title\">A PARALLEL EIGENSOLVER USING CONTOUR INTEGRATION FOR GENERALIZED EIGENVALUE PROBLEMS IN MOLECULAR SIMULATION<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.855-867<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Interior eigenvalue problems; Contour integration; Rayleigh-Ritz procedure; Biochemistry application<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405871\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>231<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya<\/td>\n<td class=\"title\">CONTOUR INTEGRAL EIGENSOLVER FOR NON-HERMITIAN SYSTEMS: A RAYLEIGH-RITZ-TYPE APPROACH<\/td>\n<td>TAIWANESE JOURNAL OF MATHEMATICS, Vol.14, No.3A, pp.825-837<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Contour integral eigensolver; Spectral projection; Filter diagonalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.11650\/twjm\/1500405869\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000278880400006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>232<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Schmutz, Jeremy; Cannon, Steven B.; Schlueter, Jessica; Ma, Jianxin; Mitros, Therese; Nelson, William; Hyten, David L.; Song, Qijian; Thelen, Jay J.; Cheng, Jianlin; Xu, Dong; Hellsten, Uffe; May, Gregory D.; Yu, Yeisoo; Sakurai, Tetsuya; Umezawa, Taishi; Bhattacharyya, Madan K.; Sandhu, Devinder; Valliyodan, Babu; Lindquist, Erika; Peto, Myron; Grant, David; Shu, Shengqiang; Goodstein, David; Barry, Kerrie; Futrell-Griggs, Montona; Abernathy, Brian; Du, Jianchang; Tian, Zhixi; Zhu, Liucun; Gill, Navdeep; Joshi, Trupti; Libault, Marc; Sethuraman, Anand; Zhang, Xue-Cheng; Shinozaki, Kazuo; Nguyen, Henry T.; Wing, Rod A.; Cregan, Perry; Specht, James; Grimwood, Jane; Rokhsar, Dan; Stacey, Gary; Shoemaker, Randy C.; Jackson, Scott A.<\/td>\n<td class=\"title\">Genome sequence of the palaeopolyploid soybean (vol 463, pg 178, 2010)<\/td>\n<td>NATURE, Vol.465, No.7294, pp.120-120<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/nature08957\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000277311900043&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>233<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Tadano, H.; Kuramashi, Y.; Sakurai, T.<\/td>\n<td class=\"title\">Application of preconditioned block BiCGGR to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.181, No.5, pp.883-886<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace; Preconditioning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2009.12.025\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000276430000008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>234<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.233, No.8, pp.1927-1936<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Spectral projection; Filter diagonalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2009.09.029\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273250300020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>235<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Ikegami, Tsutomu; Sakurai, Tetsuya; Tadano, Hiroto<\/td>\n<td class=\"title\">Parallel Eigensolver for Large Scale Non-linear Systems<\/td>\n<td>NUMERICAL ANALYSIS AND APPLIED MATHEMATICS, VOLS I-III, Vol.1281, pp.941-+<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">eigenproblem; non-linear; numerical method; contour integral<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1063\/1.3498649\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000289661500250&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>236<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, T.; Tadano, H.; Kuramashi, Y.<\/td>\n<td class=\"title\">Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD<\/td>\n<td>COMPUTER PHYSICS COMMUNICATIONS, Vol.181, No.1, pp.113-117<\/td>\n<td class=\"year\">2010<\/td>\n<td class=\"keywords\">Lattice gauge theory; Lattice Dirac equation; Multiple right-hand sides; Block Krylov subspace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cpc.2009.09.006\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273168600015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>237<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Asakura, Junko; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji<\/td>\n<td class=\"title\">A Method for Finding Zeros of Polynomial Equations using a Contour Integral Based Eigensolver<\/td>\n<td>SNC'09: PROCEEDINGS OF THE 2009 INTERNATIONAL WORKSHOP ON SYMBOLIC-NUMERIC COMPUTATION, pp.143-147<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">Nonlinear eigenvalue problems; Contour integral; Dixon resultant; Hankel matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000273427300021&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>238<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Takahashi, Daisuke; Sato, Mitsuhisa; Nagashima, Umpei<\/td>\n<td class=\"title\">A parallel method for large sparse generalized eigenvalue problems using a GridRPC system<\/td>\n<td>FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, Vol.24, No.6, pp.613-619<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\">generalized eigenvalue problems; GridRPC; master-worker type method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.future.2008.01.002\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000255841300013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>239<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Tadano, Hiroto; Sakurai, Tetsuya<\/td>\n<td class=\"title\">On single precision preconditioners for Krylov subspace iterative methods<\/td>\n<td>LARGE-SCALE SCIENTIFIC COMPUTING, Vol.4818, pp.721-+<\/td>\n<td class=\"year\">2008<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-540-78827-0_83\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000254817600083&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>240<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Watanabe, Toshio; Inadomi, Yuichi; Ishimoto, Takayoshi; Umeda, Hiroaki; Sakurai, Tetsuya; Nagashima, Umpei<\/td>\n<td class=\"title\">Molecular Orbital Calculation for Large Molecule<\/td>\n<td>JOURNAL OF COMPUTER CHEMISTRY-JAPAN, Vol.6, No.3, pp.217-225<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">Fragment Molecular Orbital method; Large scale molecule; Parallel processing; Lysozyme; Model DNA<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2477\/jccj.6.217\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000436750100007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>241<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nagashima, Umpei; Watanabe, Toshio; Inadomi, Yuichi; Umeda, Hiroaki; Ishimoto, Takayoshi; Sakurai, Tetsuya<\/td>\n<td class=\"title\">Molecular orbital of fragment molecular orbital method with Sakurai-Sugiura method on grid computing environment<\/td>\n<td>ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, Vol.233, pp.21-21<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000207722802019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>242<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Niu, Xiao-Ming; Sakurai, Tetsuya; Sugiura, Hiroshi<\/td>\n<td class=\"title\">A verified method for bounding clusters of zeros of analytic functions<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.199, No.2, pp.263-270<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\">verified method; cluster of zeros; interval arithmetic; analytic functions; Rouche's theorem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2005.08.038\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000243812400011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>243<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Nagashima, Umpei<\/td>\n<td class=\"title\">A master-worker type eigensolver for molecular orbital computations<\/td>\n<td>APPLIED PARALLEL COMPUTING, Vol.4699, pp.617-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000250904900074&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>244<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kishimoto, Sadaya; Murakata, Mamoru; Nakanishi, Takafumi; Sakurai, Tetsuya; Kitagawa, Takashi<\/td>\n<td class=\"title\">Problem-solving support system for mathematical sciences<\/td>\n<td>2007 IEEE INTERNATIONAL WORKSHOP ON DATABASES FOR NEXT GENERATION RESEARCHERS, pp.79-+<\/td>\n<td class=\"year\">2007<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SWOD.2007.353202\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000248568300014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>245<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Kishimoto, Sadaya; Nakanishi, Takafumi; Murakata, Mamoru; Otsuka, Toru; Sakurai, Tetsuya; Kitagawa, Takashi<\/td>\n<td class=\"title\">An implementation method of an integrated associative search for mathematical expressions<\/td>\n<td>PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON DATABASES AND APPLICATIONS, pp.160-+<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">mathematical expression; similarity expression search; semantic associative search; integrated associative search; mathematical model of meaning<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000239784600024&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>246<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Aida, Yoshiaki; Nakajima, Yoshihiro; Sato, Mitsuhisa; Sakurai, Tetsuya; Takahashi, Daisuke; Boku, Taisuke<\/td>\n<td class=\"title\">Performance improvement by data management layer in a grid RPC system<\/td>\n<td>ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS, Vol.3947, pp.324-335<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237540300033&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>247<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, Tetsuya; Hayakawa, Kentaro; Sato, Mitsuhisa; Takahashi, Daisuke<\/td>\n<td class=\"title\">A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment<\/td>\n<td>APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING, Vol.3732, pp.1151-1158<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237003200138&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>248<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Sakurai, T; Kodaki, Y; Umeda, H; Inadomi, Y; Watanabe, T; Nagashima, U<\/td>\n<td class=\"title\">A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G\/MPI<\/td>\n<td>LARGE-SCALE SCIENTIFIC COMPUTING, Vol.3743, pp.438-445<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/11666806_50\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000236456400050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u6afb\u4e95\u9244\u4e5f\">\n<td>249<\/td>\n<td class=\"researcher-name\">\u6afb\u4e95\u9244\u4e5f<\/td>\n<td>Nakanishi, T; Kishimoto, S; Sakurai, T; Kitagawa, T<\/td>\n<td class=\"title\">A construction method of a metadata space based on relations between words from an index of a book<\/td>\n<td>2005 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), pp.438-441<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000234267800111&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>250<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Chouchane, Hanna; Lee, Jooheong; Sakamura, Yuki; Nakamura, Hiroki; Abe, Genya; Itoh, Makoto<\/td>\n<td class=\"title\">Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis<\/td>\n<td>APPLIED SCIENCES-BASEL, Vol.16, No.3<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">driving automation; supervisory attention; eye tracking; Markov chain; takeover performance; human-machine interface<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/app16031401\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001687538100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>251<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Ayato; Saito, Yuichi; Yano, Hiroaki; Yabe, Takuma; Itoh, Makoto<\/td>\n<td class=\"title\">How Do Pedestrians Perceive the Risk Against an Oncoming Autonomous Vehicle? Visualization of the Pedestrian's Risk Field<\/td>\n<td>TRANSPORTATION RESEARCH RECORD<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/03611981251375018\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001597628700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>252<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Ichinose, Yusaku; Sato, Toshihisa; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation<\/td>\n<td>TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, Vol.33<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Automated driving; Human out of the loop; Verbal communication; Control transition; Driver behavior<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trip.2025.101593\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001566018200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>253<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Yang, Fan; Zhou, Huiping; Li, Xintong; Itoh, Makoto<\/td>\n<td class=\"title\">Using Video Introduction to Mitigate Affect-Based Initial Trust in Automation<\/td>\n<td>JAPANESE PSYCHOLOGICAL RESEARCH<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">human-automation trust; affect-based initial trust; faith; video introduction; plain text introduction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1111\/jpr.12586\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001422886800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>254<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Zhuang, Xiangling; Lee, Seul Chan; Lee, Jieun; Li, Xintong; Itoh, Makoto<\/td>\n<td class=\"title\">Developing and validating a Chinese human-automation trust scale: Advancing trust measurement of emerging automation in sustainable ergonomics<\/td>\n<td>APPLIED ERGONOMICS, Vol.125<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Human-automation trust; Chinese cultural context; Measurement tool; Trust development stages; Reliability and validity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2025.104477\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001424686900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>255<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yamai, Yoichi; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Optimization of Flight Deck Display Format Using Integer Linear Programming to Enhance Pilot Performance<\/td>\n<td>2025 AIAA DATC\/IEEE 44TH DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Flight Deck Display Format; Mathematical Optimization; Cognitive Engineering Approach<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/DASC66011.2025.11257200\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001665766800044&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>256<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Tu, Nianzhi; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Influence of Automobile Brand on the Structure of Initial Trust in Driving Automation<\/td>\n<td>HCI IN MOBILITY, TRANSPORT, AND AUTOMOTIVE SYSTEMS, MOBITAS 2025, PT II, Vol.15818, pp.60-68<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Initial Trust; Driving Automation; Automobile Brand<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-92692-1_4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001541481000004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>257<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Sato, Tetsuya; Jackson, Austin; Jayarathna, Sampath; Itoh, Makoto; Yamani, Yusuke<\/td>\n<td class=\"title\">Gaze transition entropy as a measure of attention allocation in a dynamic workspace involving automation<\/td>\n<td>SCIENTIFIC REPORTS, Vol.14, No.1<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-024-74244-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001331683000081&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>258<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Baby, Tiju; Yoon, Sol Hee; Lee, Jieun; Cui, Zixin; Itoh, Makoto; Lee, Seul Chan<\/td>\n<td class=\"title\">Development and validation of automated driving behavior questionnaire (ADBQ)<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.103, pp.608-622<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Automated Vehicles; Automated Driving Behavior Questionnaire; ADBQ; Questionnaire Development; Structural Equation Modeling<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2024.05.014\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001243715700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>259<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yamai, Yoichi; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Effectivity of Early Evaluation Methodology for Flight Deck Display Format by Dual Approaches<\/td>\n<td>2024 AIAA DATC\/IEEE 43RD DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Flight Deck Displays; Cognitive Experiment; Situation Awareness; Visual Characteristic<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/DASC62030.2024.10749259\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001453360400139&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>260<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Munawwarah, Sharifah; Medina, Juan Sebastian Ruiz; Sato, Kenji; Abe, Genya; Itoh, Makoto<\/td>\n<td class=\"title\">Modelling of Human-like Steering Behavior under Emergency Collision Avoidance via Artificial Neural Network<\/td>\n<td>2024 7TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS, AND CONTROL ENGINEERING, ICECC 2024, pp.94-99<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">driving behavior; autonomous driving; emergency maneuvers; collision avoidance; Artificial Neural Network (ANN)<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ICECC63398.2024.00024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001298145500017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>261<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Executing Safety Control under Hands-off Partial Driving Automation<\/td>\n<td>IFAC PAPERSONLINE, Vol.56, No.2, pp.8339-8344<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Safety; Intelligent vehicles; Interaction; adaptive automation; driver monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2023.10.1024\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001122557300334&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>262<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Kochi, Fuma; Saito, Yuichi; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Task difficulty, risk feeling, and safety margin in the determination of driver behavior to prepare for traffic conflicts<\/td>\n<td>ACCIDENT ANALYSIS AND PREVENTION, Vol.192<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Driver behavior; Decision making; Task difficulty; Risk; Safety; Driving simulator<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aap.2023.107284\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001078707800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>263<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Cui, Zixin; Tu, Nianzhi; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of brand and brand trust on initial trust in fully automated driving system<\/td>\n<td>PLOS ONE, Vol.18, No.5<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0284654\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000984919900003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>264<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Tu, Nianzi; Maeng, Sungju; Itoh, Makoto<\/td>\n<td class=\"title\">The influence of different camera perspectives and display devices on Beyond Visual Line of Sight (BVLOS) UAV operations<\/td>\n<td>2023 62ND ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, SICE, pp.339-344<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">BVLOS; drone; camera perspectives; display; UAV operation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/SICE59929.2023.10354201\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001138250800027&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>265<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Imamura, Shota; Lee, Jieun; Rekimoto, Jun; Itoh, Makoto<\/td>\n<td class=\"title\">Advantage of Gaze-Only Contents Browsing in VR using Cumulative Dwell Time Compared to Hand Controller<\/td>\n<td>ACM SYMPOSIUM ON SPATIAL USER INTERACTION, SUI 2023<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">gaze interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; head-mounted display<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3607822.3614513\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001138802600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>266<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Imamura, Shota; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Control prediction based on cumulative gaze dwell time while browsing contents<\/td>\n<td>ACM SYMPOSIUM ON EYE TRACKING RESEARCH &amp; APPLICATIONS, ETRA 2023<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">control prediction; gaze-based interaction; gaze input; hands-free interaction; dwell time; augmented reality; virtual reality; headmounted display<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3588015.3589664\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001031497300091&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>267<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Arame, Maki; Handa, Junko; Goda, Yoshiko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Verification of the Effectiveness of Learning Materials that Support Self-regulation for Learning Considering Differences in Career Resilience: Acquiring Knowledge of Level 3 Automated Driving Vehicles<\/td>\n<td>PROCEEDINGS OF SEVENTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2022, VOL 1, Vol.447, pp.889-900<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Conditional driving automation; Resilience; Self-regulation; Learning style; Decision tree analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-1607-6_78\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001334473600078&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>268<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Maeng, Sungju; Fujino, Mitsuki; Tu, Nianzhi; Itoh, Makoto<\/td>\n<td class=\"title\">Risk Analysis for Level 4 Drone Maneuvering: Safety in GPS Signal Loss<\/td>\n<td>PROCEEDINGS OF THE 2021 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY (APISAT 2021), VOL 2, Vol.913, pp.745-754<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Risk analysis; GPS signal loss; Drone; Safety; BVLOS operation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-19-2635-8_55\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865936500055&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>269<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Andrijanto; Itoh, Makoto; Sianipar, Felix Sandro<\/td>\n<td class=\"title\">Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs (vol 46, pg 353, 2022)<\/td>\n<td>IATSS RESEARCH, Vol.46, No.4, pp.623-623<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.iatssr.2022.11.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000907572800017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>270<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Andrijanto; Itoh, Makoto; Sianipar, Felix Sandro<\/td>\n<td class=\"title\">Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs<\/td>\n<td>IATSS RESEARCH, Vol.46, No.3, pp.353-369<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Traffic safety culture; motorcyclists' behaviors; Driving safety program; Urban traffic; Reciprocal safety culture model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.iatssr.2022.04.001\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000876934400005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>271<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Leung, Cho Kiu; Itoh, Makoto<\/td>\n<td class=\"title\">Design and evaluation of cooperative human-machine interface for changing lanes in conditional driving automation<\/td>\n<td>ACCIDENT ANALYSIS AND PREVENTION, Vol.174<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Automated vehicle; Human-machine interaction; Perception; Decision-making; Levels of automation; Lane change<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.aap.2022.106719\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000832781400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>272<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Watahiki, Yuta; Leung, Chokiu; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of verbal messages with reminders to communicate driving situations to alter driver behavior in conditional driving automation<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.85, pp.69-82<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Driver behavior; Attention allocation; Automated driving; Verbal communication; Human out of the loop<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2022.01.003\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000795904200006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>273<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Long, Shelby K.; Lee, Jieun; Yamani, Yusuke; Unverricht, James; Itoh, Makoto<\/td>\n<td class=\"title\">Does automation trust evolve from a leap of faith? An analysis using a reprogrammed pasteurizer simulation task<\/td>\n<td>APPLIED ERGONOMICS, Vol.100<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Human-machine trust; Human-machine system; Supervisory control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2021.103674\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000799844800010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>274<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Vongvit, Rattawut; Lee, Jieun; Itoh, Makoto; Lee, Seul Chan<\/td>\n<td class=\"title\">Meta-Trend of Trust Factors in Autonomous Vehicles<\/td>\n<td>ADJUNCT PROCEEDINGS OF THE 14TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2022 ADJUNCT, pp.94-98<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Trust; Socio-technological factors; Automated vehicle; Autonomous vehicle<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3544999.3552528\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001144178100020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>275<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Watanabe, Takatomo; Itoh, Makoto<\/td>\n<td class=\"title\">Validity and Considerations of the Safety Analysis Method STAMP\/STPA on Emergency Stop -Case : Unprecedented Systems -<\/td>\n<td>2022 61ST ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS (SICE), pp.1194-1200<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">STAMP\/STPA; Safety analysis; Safety design; Emergency stop; Automation system<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000885102400094&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>276<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Andrijanto; Chen, Zhangyijing; Kodama, Takuro; Yano, Hiroaki; Itoh, Makoto<\/td>\n<td class=\"title\">Application of LargeSpace for Investigating Pedestrians' Behaviors when Interacting with Autonomous Vehicles in Shared Spaces<\/td>\n<td>2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022), pp.88-91<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Human-machine interaction; safety; shared space; pedestrian; automated vehicles; LargeSpace<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/VRW55335.2022.00032\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000808111800023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>277<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.52, No.1, pp.74-86<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Vehicles; Automation; Eyelids; Wheels; Control systems; Torque; Fatigue; Driver monitoring; driving safety; dual control; human--machine interaction; partial driving automation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2021.3123171\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000733176200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>278<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto; Liang, Cho Kiu; Antona-Makoshi, Jacobo; Uchida, Nobuyuki<\/td>\n<td class=\"title\">Effects of gender, age, experience, and practice on driver reaction and acceptance of traffic jam chauffeur systems<\/td>\n<td>SCIENTIFIC REPORTS, Vol.11, No.1<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-021-97374-5\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000695272000080&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>279<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.81, pp.384-395<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Trust in automation; Driving automation; Automation failure; Prior information; Training; Malfunction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2021.06.013\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000692568100015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>280<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Explanation-Based Knowledge Influence Driver Take-Over in Conditional Driving Automation?<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.51, No.3, pp.188-197<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Vehicles; Automation; Task analysis; Vehicle dynamics; Decision making; Process control; Man-machine systems; Conditional driving automation; driver takeover; human-machine interface; information processing; safety; system limitations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2021.3051342\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000652789700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>281<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Yamani, Yusuke; Long, Shelby K.; Unverricht, James; Itoh, Makoto<\/td>\n<td class=\"title\">Revisiting human-machine trust: a replication study of Muir and Moray (1996) using a simulated pasteurizer plant task<\/td>\n<td>ERGONOMICS, Vol.64, No.9, pp.1132-1145<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Trust; automation; human-machine trust; supervisory control; human-machine interaction<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1080\/00140139.2021.1909752\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000642545600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>282<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Kamijo, Keita; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Effects of explanation-based knowledge regarding system functions and driver's roles on driver takeover during conditionally automated driving: A test track study<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.77, pp.1-9<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Automated driving; Takeover; Education and training; Human-machine interface; Test track<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2020.11.015\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000624566000001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>283<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Muslim, Hussam; Itoh, Makoto<\/td>\n<td class=\"title\">Design of Haptic Protection with an Adaptive Level of Authority Based on Risk Indicators under Hands-on Partial Driving Automation<\/td>\n<td>2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.1613-1618<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC52423.2021.9658933\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000800532001093&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>284<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Instructed Knowledge Influence Drivers' Decision-Making in Conditional Driving Automation?<\/td>\n<td>PROCEEDINGS OF THE 21ST CONGRESS OF THE INTERNATIONAL ERGONOMICS ASSOCIATION, IEA 2021, VOL III, Vol.221, pp.845-852<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Decision-making; Knowledge; Takeover control; Request to intervene; Conditional driving automation; Safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-030-74608-7_104\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001575681000103&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>285<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yamani, Yusuke; Long, Shelby K.; Itoh, Makoto<\/td>\n<td class=\"title\">Human-Automation Trust to Technologies for Naive Users Amidst and Following the COVID-19 Pandemic<\/td>\n<td>HUMAN FACTORS, Vol.62, No.7, pp.1087-1094<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">human-automation trust; trust development; COVID-19; naive automation users<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/0018720820948981\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000557530900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>286<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Long-Term Evaluation of Drivers' Behavioral Adaptation to an Adaptive Collision Avoidance System<\/td>\n<td>HUMAN FACTORS, Vol.63, No.7, pp.1295-1315<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">behavioral adaptation; adaptive automation; human-automation interaction; training; trust in automation; reaction time<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1177\/0018720820926092\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000537491500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>287<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yao, Hua; An, Suyang; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Safety Compensation for Improving Driver Takeover Performance in Conditionally Automated Driving<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.32, No.3, pp.530-536<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">automated driving; safety compensation; takeover performance<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.20965\/jrm.2020.p0530\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000543499600006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>288<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Demographic Characteristics on Trust in Driving Automation<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.32, No.3, pp.605-612<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">driving automation; human-machine trust; supervisory control; gender; acceptance of automation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.20965\/jrm.2020.p0605\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000543499600014&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>289<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, H. P.; Itoh, M.; Kitazaki, S.<\/td>\n<td class=\"title\">Effect of instructing system limitations on the intervening behavior of drivers in partial driving automation<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.22, No.2, pp.321-334<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Partial driving automation; Explanation-based knowledge; System limitations; failures; Driver interventions; Driving safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00568-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000527657500006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>290<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of driver compensatory behaviour on risks of critical pedestrian collisions under simulated visual field defects<\/td>\n<td>PLOS ONE, Vol.15, No.4<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0231130\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000535977000050&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>291<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, Frank O.; Pacaux-Lemoine, Marie-Pierre; Vanderhaegen, Frederic; Itoh, Makoto; Saito, Yuichi; Herzberger, Nicolas; Wasser, Joscha; Grislin, Emmanuelle; Baltzer, Marcel<\/td>\n<td class=\"title\">Conflicts in Human-Machine Systems as an Intersection of Bio- and Technosphere: Cooperation and Interaction Patterns for Human and Machine Interference and Conflict Resolution<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.530-535<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">human machine systems; arbitration; interference; cooperation; design metaphor<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209517\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200100&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>292<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Impacts of System Transparency and System Failure on Driver Trust During Partially Automated Driving<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.119-121<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated vehicle; Trust in automation; System transparency; System failure; Supervisory control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209322\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200024&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>293<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Effects of Driver Drowsiness on Driving Performance in the Context of Partial Driving Automation Requiring Hands-on-Wheel<\/td>\n<td>PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), pp.100-103<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Safety; partially driving automation; dual control; adaptive automation; driver behavior monitoring<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/ichms49158.2020.9209459\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000872028200020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>294<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>An, Suyang; Maeda, Moe; Mao, Ximu; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of request-to-intervene message contents on driver performance and safety under conditionally automated driving system<\/td>\n<td>IFAC PAPERSONLINE, Vol.53, No.5, pp.203-206<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving; Safety; Driver Behavior; Request to Intervene; Human-Machine Interface<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2021.04.099\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000656589700036&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>295<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Goda, Yoshiko; Arame, Maki; Handa, Junko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Development of a Short-Form Learning Style Inventory for Automated Driving Safety Education<\/td>\n<td>PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (IEEE TALE 2020), pp.847-851<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">learning style; safety education; style; automated driving; Felder-Silverman learning style model<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TALE48869.2020.9368318\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000662184600136&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>296<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Liang, Cho Kiu; Itoh, Makoto<\/td>\n<td class=\"title\">Effectiveness and Driver Acceptance of Sharing Decision and Control in Automated Driving<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.4447-4452<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Levels of automation; Human-machine interface; Shared control; Driver acceptance; Lane change<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/smc42975.2020.9282853\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000687430604076&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>297<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Hirano, Toshiaki; Itoh, Makoto<\/td>\n<td class=\"title\">Making Passenger Conversation in Partial Driving Automation: Effects of Relationship Between Driver and Passenger on Driver Fatigue and Driving Performance<\/td>\n<td>2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.1718-1722<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/smc42975.2020.9283363\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000687430601115&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>298<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Yao, Hua; An, Suyang; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">How Does Driver Takeover Worsen in a Sudden System Failure of Conditionally Automated Driving?<\/td>\n<td>2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), pp.1469-1474<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving; Takeover Performance; System Failure; ODD<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.23919\/sice48898.2020.9240345\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865985500126&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>299<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Arame, Maki; Handa, Junko; Goda, Yoshiko; Toda, Masashi; Matsuba, Ryuichi; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Effects of Learning Materials about Automated Driving Level 3 Focusing on Frequency of Driving: Verification by Propensity Score Matching<\/td>\n<td>PROCEEDINGS OF THE 2020 FOURTH WORLD CONFERENCE ON SMART TRENDS IN SYSTEMS, SECURITY AND SUSTAINABILITY (WORLDS4 2020), pp.454-460<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Automated Driving Level 3; Rasmussen SRK model; Career Resilience; Propensity Score Matching<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/worlds450073.2020.9210310\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000629054300077&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>300<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">A theoretical framework for designing human-centered automotive automation systems<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.685-697<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-centered automation; Human-automation interactions; Authority; Levels of automation; Automation driving system; Adaptive automation; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-018-0509-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000498450500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>301<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, F.; Abbink, D. A.; Itoh, M.; Pacaux-Lemoine, M. -P.; Wessel, G.<\/td>\n<td class=\"title\">Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human-machine cooperation, cooperative guidance and control, shared, traded and supervisory control<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.555-568<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-machine systems; Human-machine cooperation; Joint action; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00576-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000493606400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>302<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, F.; Abbink, D.; Itoh, M.; Pacaux-Lemoine, M. -P.<\/td>\n<td class=\"title\">Special issue on shared and cooperative control<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.4, pp.553-554<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Human-machine systems; Human-machine cooperation; Joint action; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-019-00607-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000492338400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>303<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Human Understanding of Automation Abilities on Driver Performance and Acceptance of Lane Change Collision Avoidance Systems<\/td>\n<td>IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol.20, No.6, pp.2014-2024<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Driver assistance systems; automation; control; human-automation interactions; system design<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TITS.2018.2856099\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470039700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>304<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Farah, Haneen; Piccinini, Giulio Bianchi; Itoh, Makoto; Dozza, Marco<\/td>\n<td class=\"title\">Modelling overtaking strategy and lateral distance in car-to-cyclist overtaking on rural roads: A driving simulator experiment<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.63, pp.226-239<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Overtaking; Cyclists; Driver behaviour; Driving simulator; Active safety systems; Automated driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2019.04.026\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470950700020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>305<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Takahashi, Hiroshi; Itoh, Makoto<\/td>\n<td class=\"title\">A Driving Simulation Study on Visual Cue Presented in the Peripheral Visual Field for Prompting Driver's Attention<\/td>\n<td>JOURNAL OF ROBOTICS AND MECHATRONICS, Vol.31, No.2, pp.274-288<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">human machine interface; driving simulator; central field of vision; peripheral vision<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000465315100011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>306<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Merat, Natasha; Seppelt, Bobbie; Louw, Tyron; Engstrom, Johan; Lee, John D.; Johansson, Emma; Green, Charles A.; Katazaki, Satoshi; Monk, Chris; Itoh, Makoto; McGehee, Daniel; Sunda, Takashi; Unoura, Kiyozumi; Victor, Trent; Schieben, Anna; Keinath, Andreas<\/td>\n<td class=\"title\">The \"Out-of-the-Loop\" concept in automated driving: proposed definition, measures and implications<\/td>\n<td>COGNITION TECHNOLOGY &amp; WORK, Vol.21, No.1, pp.87-98<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Out of the Loop; Automated driving; Autonomous; Driver behaviour; Human factors<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10111-018-0525-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000461394900008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>307<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">Long-term Effect of Experiencing System Malfunction on Driver Take-over Control in Conditional Driving Automation<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), pp.1950-1955<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Conditionally driving automation; experience; driver take-over control; request to intervene; system malfunction; driver trust<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521353901161&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>308<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Hirano, Toshiaki; Hano, Tomoya; Itoh, Makoto<\/td>\n<td class=\"title\">Conversation during Partially Automated Driving: How Attention Arousal is Effective on Maintaining Situation Awareness<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), pp.3718-3723<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000521353903119&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>309<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Effect of Changes in Levels of Automated Driving on Manual Control Recovery<\/td>\n<td>IFAC PAPERSONLINE, Vol.52, No.19, pp.79-84<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">automated driving; request to intervene; functional limit; safety; driver behaviour<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2019.12.113\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000504294500015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>310<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, H.; Itoh, M.<\/td>\n<td class=\"title\">Trust and Acceptance of Adaptive and Conventional Collision Avoidance Systems<\/td>\n<td>IFAC PAPERSONLINE, Vol.52, No.19, pp.55-60<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Safety; Adaptive control; Human machine interaction; Human factors; Lane change.<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2019.12.086\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000504294500011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>311<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Piccinini, Giulio Francesco Bianchi; Moretto, Claudia; Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">Influence of oncoming traffic on drivers' overtaking of cyclists<\/td>\n<td>TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, Vol.59, pp.378-388<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Cycling safety; Comfort zone boundary; Driving simulator; Overtaking strategy; Safety margin; Speed<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trf.2018.09.009\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000449894900030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>312<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Driver Trust in Automated Driving Systems: The Case of Overtaking and Passing<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.48, No.1, pp.85-94<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Automated driving; human automation interaction; human factors; trust<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2017.2781619\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000422915300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>313<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Liu, Tianwei; Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">The Impact of Explanation on Possibility of Hazard Detection Failure on Driver Intervention under Partial Driving Automation<\/td>\n<td>2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), pp.150-155<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000719424500026&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>314<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Takahashi, Hiroshi; Itoh, Makoto<\/td>\n<td class=\"title\">A Study on Visual Driving Simulator for Analyzing Perception Characteristics of a Driver<\/td>\n<td>2018 JOINT 10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 19TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), pp.672-677<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Human Machine Interface; Driving Simulator; Eye Tracking<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SCIS-ISIS.2018.00113\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000470750300102&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>315<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto; Kitazaki, Satoshi<\/td>\n<td class=\"title\">How Does Knowledge about System Limitations Contribute to Interventions into Partial Automation Among Elderly Drivers?<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.819-824<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Partial automation; Elderly drivers; Explanation-based knowledge; system limitations; driving safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00147\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884800137&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>316<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto<\/td>\n<td class=\"title\">Steering Behavior with Different Levels of Automation Interventions for Avoiding Collisions During Lane Change<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.2711-2716<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Safety; Collision avoidance; Authority; Lane change; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00463\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884802130&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>317<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto; Marie-Pierre, Pacaux-Lemoine<\/td>\n<td class=\"title\">Trust View from the Human-Machine Cooperation Framework<\/td>\n<td>2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3213-3218<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Trust; Human-machine System; Cooperation modelling; Shared control system<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2018.00544\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000459884803045&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>318<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Hirano, Toshiaki; Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Auditory Stimuli and Verbal Communications on Drivers' Situation Awareness in Partially Automated Driving<\/td>\n<td>2018 57TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), pp.690-696<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Driving automation; auditory stimulus; situation awareness; music; verbal conversation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000448184100036&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>319<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Lee, Jieun; Itoh, Makoto<\/td>\n<td class=\"title\">Driver Compensation: Reducing The Risk of Pedestrian Collisions under Visual Field Contraction<\/td>\n<td>2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.882-887<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Visual Field; Driving Simulator; Driver Behaviour; Compensation<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000427598700154&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>320<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Ishida, Wakana; Itoh, Makoto<\/td>\n<td class=\"title\">Effects of Vehicle Behavior for Situation Awareness When Using a Driving Automation System<\/td>\n<td>2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.888-893<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">Shared control; Human-automation interactions; supervisory Control; Situation awareness<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000427598700155&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>321<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Saito, Yuichi; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Driver Assistance System With a Dual Control Scheme: Effectiveness of Identifying Driver Drowsiness and Preventing Lane Departure Accidents<\/td>\n<td>IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol.46, No.5, pp.660-671<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Adaptive automation; advanced driver assistance systems (ADAS); driver behavior monitoring; dual control; safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/THMS.2016.2549032\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000384279800003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>322<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Uchida, Nobuyuki; Itoh, Makoto<\/td>\n<td class=\"title\">Driver's trust in automated driving when passing bicycles<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>323<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto<\/td>\n<td class=\"title\">human factors in car-bicycle interaction<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>324<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Piccinini, Giulio Bianchi; Itoh, Makoto<\/td>\n<td class=\"title\">Driver decision and procedure to overtake cyclists<\/td>\n<td>INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol.51, pp.1142-1142<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000413720408004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>325<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Zhou, Huiping; Itoh, Makoto<\/td>\n<td class=\"title\">How does a driver perceive risk when making decision of lane-changing?<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.60-65<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Riskperception; Lane-changingbehavior; decisionmaking<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.462\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>326<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto; Flemisch, Frank; Abbink, David<\/td>\n<td class=\"title\">A hierarchical framework to analyze control conflicts between human and machine<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.96-101<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Automation; Shared Control; Human-Machine Cooperation; Conflict; Safety; Automobile; Aviation; Teleoperation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.468\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>327<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Flemisch, F.; Abbink, D.; Itoh, M.; Pacaux-Lemoine, M-P.; Wessel, G.<\/td>\n<td class=\"title\">Shared control is the sharp end of cooperation: Towards a common framework of joint action, shared control and human machine cooperation<\/td>\n<td>IFAC PAPERSONLINE, Vol.49, No.19, pp.72-77<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">human machine systems; human machine cooperation; joint action; shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2016.10.464\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000401244300013&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>328<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Muslim, Husam; Itoh, Makoto; Pacaux-Lemoine, Marie-Pierre<\/td>\n<td class=\"title\">Driving with Shared Control: How Support System Performance Impacts Safety<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.582-587<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Collision avoidance; Lane changing; Reliability; Safety; Shared control<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402634700087&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>329<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Aizawa, Takuya; Itoh, Makoto<\/td>\n<td class=\"title\">Shared automation of lane change for avoiding forward obstacle<\/td>\n<td>2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp.3782-3787<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Shared control; lane change; automobile; safety<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000402634703105&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>330<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Fischer, Sandrine; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Screening Prototype Features in Terms of Intuitive Use: Design Considerations and Proof of Concept<\/td>\n<td>INTERACTING WITH COMPUTERS, Vol.27, No.3, pp.256-270<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Intuitive use; Interaction design theory, concepts, and paradigms; Quantitative methods; User studies; Graphical user interfaces<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/iwc\/iwv002\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000354691800004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>331<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Makhtar, Ahmad Khushairy; Itoh, Makoto<\/td>\n<td class=\"title\">DRIVER'S MENTAL WORKLOAD: TASK PERFORMANCE AND MENTAL WORKLOAD<\/td>\n<td>JURNAL TEKNOLOGI, Vol.76, No.7, pp.109-113<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Mental worklood; performance measurement; safety; driver assistance<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000218594700019&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>332<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Itoh, Makoto; Tanaka, Hiroto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Toward Trustworthy Haptic Assistance System for Emergency Avoidance of Collision With a Pedestrian<\/td>\n<td>JOURNAL OF HUMAN-ROBOT INTERACTION, Vol.4, No.3, pp.4-18<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Shared control; advanced driver assistance systems; safety; pedestrian<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5898\/JHRI.4.3.Itoh\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000218714100002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>333<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Marie-Pierre, Pacaux-Lemoine; Makoto, Itoh<\/td>\n<td class=\"title\">Towards vertical and horizontal extension of shared control concept<\/td>\n<td>2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, pp.3086-3091<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Man machine systems; Cooperative system; Human factors; Context awareness; Team awareness; Car driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2015.536\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368940203030&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>334<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Abe, Genya; Sato, Kenji; Itoh, Makoto<\/td>\n<td class=\"title\">Driver's trust in automted driving when passing other traffic objects<\/td>\n<td>2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, pp.897-902<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">component; trust; automtaed vehciels; manual driving<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/SMC.2015.165\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000368940200152&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>335<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Fischer, Sandrine; Itoh, Makoto; Inagaki, Toshiyuki<\/td>\n<td class=\"title\">Prior schemata transfer as an account for assessing the intuitive use of new technology<\/td>\n<td>APPLIED ERGONOMICS, Vol.46, pp.8-20<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">Intuitive use; Schemata theory; Transfer<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.apergo.2014.05.010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000347736900002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4f0a\u85e4\u8aa0\">\n<td>336<\/td>\n<td class=\"researcher-name\">\u4f0a\u85e4\u8aa0<\/td>\n<td>Aoi, I; Makoto, I; Yoshida, M; Fukunaga, H; Nakae, H<\/td>\n<td class=\"title\">Influence of growth direction on the microstructure of unidirectionally solidified Cu-Pb monotectic alloy using zone-melt technique<\/td>\n<td>JOURNAL OF CRYSTAL GROWTH, Vol.222, No.4, pp.806-815<\/td>\n<td class=\"year\">2001<\/td>\n<td class=\"keywords\">gravity; unidirectional solidification; copper-lead alloy; monotectic; banded structure<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/S0022-0248(00)01008-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000166881800020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>337<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Lai, Zhijian; Yoshise, Akiko<\/td>\n<td class=\"title\">Riemannian Interior Point Methods for Constrained Optimization on Manifolds<\/td>\n<td>JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Vol.201, No.1, pp.433-469<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Riemannian manifolds; Riemannian optimization; Nonlinear optimization; Interior point method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10957-024-02403-8\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001173366800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>338<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Kanoh, Shin-ichi; Yoshise, Akiko<\/td>\n<td class=\"title\">A new extension of Chubanov's method to symmetric cones<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.205, No.1-2, pp.773-812<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10107-023-01995-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001031377700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>339<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Lai, Zhijian; Yoshise, Akiko<\/td>\n<td class=\"title\">Completely positive factorization by a Riemannian smoothing method<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.83, No.3, pp.933-966<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">Completely positive factorization; Smoothing method; Nonsmooth Riemannian optimization problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-022-00417-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000865373900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>340<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Wang, Yuzhu; Yoshise, Akiko<\/td>\n<td class=\"title\">Evaluating approximations of the semidefinite cone with trace normalized distance<\/td>\n<td>OPTIMIZATION LETTERS, Vol.17, No.4, pp.917-934<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Semidefinite optimization problem; Diagonally dominant matrix; Scaled diagonally dominant matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11590-022-01908-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000825924400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>341<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Wang, Yuzhu; Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Polyhedral approximations of the semidefinite cone and their application<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.78, No.3, pp.893-913<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Semidefinite optimization problem; Conic optimization problem; Polyhedral approximation; Semidefinite basis; Expanded semidefinite basis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-020-00255-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000604160400002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>342<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">LP-based tractable subcones of the semidefinite plus nonnegative cone<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.265, No.1, pp.155-182<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Semidefinite plus nonnegative cone; Doubly nonnegative cone; Copositive cone; Matrix decomposition; Linear programming; Semidefinite basis; Maximum clique problem; Quadratic optimization problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-017-2720-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000430492100009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>343<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Sato, Toshiki; Takano, Yuichi; Miyashiro, Ryuhei; Yoshise, Akiko<\/td>\n<td class=\"title\">Feature subset selection for logistic regression via mixed integer optimization<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.64, No.3, pp.865-880<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Logistic regression; Feature subset selection; Mixed integer optimization; Information criterion; Piecewise linear approximation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10589-016-9832-2\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000376872000010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>344<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Takagi, Hideaki; Okada, Yukihiko; Yoshise, Akiko; Shigeno, Maiko<\/td>\n<td class=\"title\">Creation of Service Science Curriculum for Customer-Oriented Business Innovation<\/td>\n<td>GLOBAL PERSPECTIVES ON SERVICE SCIENCE: JAPAN, pp.313-336<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-1-4939-3594-9_20\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000398390700023&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>345<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Watanabe, Yosuke; Ishii, Kiyo; Sato, Toshiki; Takefusa, Atsuko; Kudoh, Tomohiro; Shigeno, Maiko; Yoshise, Akiko<\/td>\n<td class=\"title\">Routing and wavelength\/sub-wavelength path assignment to maximizing accommodated traffic demands on optical networks<\/td>\n<td>JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, Vol.10, No.3<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">Optical network; Routing and wavelength assignment; Sub-wavelength assignment; Integer programming; Cutting plane method; Greedy algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1299\/jamdsm.2016jamdsm0038\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000384230600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>346<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Tanaka, Akihiro; Yoshise, Akiko<\/td>\n<td class=\"title\">AN LP-BASED ALGORITHM TO TEST COPOSITIVITY<\/td>\n<td>PACIFIC JOURNAL OF OPTIMIZATION, Vol.11, No.1, pp.101-120<\/td>\n<td class=\"year\">2015<\/td>\n<td class=\"keywords\">copositive programming; matrix decomposition; linear programming; branch and bound algorithm; maximum clique problem<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000351657700007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>347<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Takahashi, Satoshi; Takefusa, Atsuko; Shigeno, Maiko; Nakada, Hidemoto; Kudoh, Tomohiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Power Efficient Virtual Machine Packing for Green Datacenter<\/td>\n<td>INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING, Vol.4, No.2, pp.162-181<\/td>\n<td class=\"year\">2013<\/td>\n<td class=\"keywords\">Keywords related to the papers; comma separated<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446526700005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>348<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Takahashi, Satoshi; Takefusa, Atsuko; Shigeno, Maiko; Nakada, Hidemoto; Kudoh, Tomohiro; Yoshise, Akiko<\/td>\n<td class=\"title\">Virtual Machine Packing Algorithms for Lower Power Consumption<\/td>\n<td>2012 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM)<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000320473500022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>349<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Matsukawa, Yasuaki; Yoshise, Akiko<\/td>\n<td class=\"title\">A primal barrier function Phase I algorithm for nonsymmetric conic optimization problems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.29, No.3, pp.499-517<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Doubly nonnegative cone; Nonsymmetric conic optimization; Primal barrier function; Self-concordant function; Phase I algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-012-0081-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000312574300010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>350<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">Complementarity Problems Over Symmetric Cones: A Survey of Recent Developments in Several Aspects<\/td>\n<td>HANDBOOK ON SEMIDEFINITE, CONIC AND POLYNOMOAL OPTIMIZATION, Vol.166, pp.339-375<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-1-4614-0769-0_12\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000303779500012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>351<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">HOMOGENEOUS ALGORITHMS FOR MONOTONE COMPLEMENTARITY PROBLEMS OVER SYMMETRIC CONES<\/td>\n<td>PACIFIC JOURNAL OF OPTIMIZATION, Vol.5, No.2, pp.313-337<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">complementarity problem; symmetric cone; homogeneous algorithm; interior point method; complexity analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000266325900010&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>352<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Suzuka, Ayami; Miyashiro, Ryuhei; Yoshise, Akiko; Matsui, Tomomi<\/td>\n<td class=\"title\">Dependent randomized rounding to the home-away assignment problem in sports scheduling<\/td>\n<td>IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, Vol.E89A, No.5, pp.1407-1416<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">sports scheduling; timetabling; approximation algorithm; dependent randomized rounding<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1093\/ietfec\/e89-a.5.1407\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000237827500032&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>353<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Yoshise, Akiko<\/td>\n<td class=\"title\">Interior point trajectories and a homogeneous model for nonlinear complementarity problems over symmetric cones<\/td>\n<td>SIAM JOURNAL ON OPTIMIZATION, Vol.17, No.4, pp.1129-1153<\/td>\n<td class=\"year\">2006<\/td>\n<td class=\"keywords\">complementarity problem; symmetric cone; homogeneous algorithm; existence of trajectory; interior point method; detecting infeasibility<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/04061427X\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000244631800008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>354<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Thoai, NV; Yamamoto, Y; Yoshise, A<\/td>\n<td class=\"title\">Global optimization method for solving mathematical programs with linear complementarity constraints<\/td>\n<td>JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Vol.124, No.2, pp.467-490<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\">Programs with linear complementarity constraints; equilibrium constraints; bilevel programming; global optimization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10957-004-0946-9\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000227160200011&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>355<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Suzuka, A; Miyashiro, R; Yoshise, A; Matsui, T<\/td>\n<td class=\"title\">Semidefinite programming based approaches to home-away assignment problems in sports scheduling<\/td>\n<td>ALGORITHMIC APPLICATIONS IN MANAGEMENT, PROCEEDINGS, Vol.3521, pp.95-103<\/td>\n<td class=\"year\">2005<\/td>\n<td class=\"keywords\">sports timetabling; semidefinite programming; Goemans and Williamson's approximation algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000230475100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>356<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Hotta, K; Yoshise, A<\/td>\n<td class=\"title\">A complexity bound of a predictor-corrector smoothing method using CHKS-functions for monotone LCP<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.22, No.3, pp.329-350<\/td>\n<td class=\"year\">2002<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1023\/A:1019754720598\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000177431600002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>357<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Hotta, K; Inaba, M; Yoshise, A<\/td>\n<td class=\"title\">A complexity analysis of a smoothing method using CHKS-functions for monotone linear complementarity problems<\/td>\n<td>COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, Vol.17, No.2-3, pp.183-201<\/td>\n<td class=\"year\">2000<\/td>\n<td class=\"keywords\">smoothing method; complexity bound; linear complementarity problem; monotonicity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1023\/A:1026550331760\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000166320300005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>358<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Hotta, K; Yoshise, A<\/td>\n<td class=\"title\">Global convergence of a class of non-interior point algorithms using Chen-Harker-Kanzow-Smale functions for nonlinear complementarity problems<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.86, No.1, pp.105-133<\/td>\n<td class=\"year\">1999<\/td>\n<td class=\"keywords\">non-interior point method; complementarity problem; smoothing function; homotopy method<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s101070050082\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000082858100007&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>359<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>Jansen, B; Roos, K; Terlaky, T; Yoshise, A<\/td>\n<td class=\"title\">Polynomiality of primal-dual affine scaling algorithms for nonlinear complementarity problems<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.78, No.3, pp.315-345<\/td>\n<td class=\"year\">1997<\/td>\n<td class=\"keywords\">complementarity problems; interior point methods; primal-dual affine scaling methods; smoothness conditions; polynomial-time convergence; global convergence<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF02614359\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1997XT10800002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>360<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">GLOBAL CONVERGENCE IN INFEASIBLE-INTERIOR-POINT ALGORITHMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.65, No.1, pp.43-72<\/td>\n<td class=\"year\">1994<\/td>\n<td class=\"keywords\">MONOTONE COMPLEMENTARITY PROBLEM; INTERIOR-POINT ALGORITHM; POTENTIAL REDUCTION ALGORITHM; INFEASIBILITY; GLOBAL CONVERGENCE<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01581689\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1994PC17000003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>361<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">A LITTLE THEOREM OF THE BIG-MU IN INTERIOR-POINT ALGORITHMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.59, No.3, pp.361-375<\/td>\n<td class=\"year\">1993<\/td>\n<td class=\"keywords\">INTERIOR POINT ALGORITHM; BIG-MU; LINEAR PROGRAM; CONVEX PROGRAM; COMPLEMENTARITY PROBLEM; POTENTIAL REDUCTION ALGORITHM; SELF-DUAL LINEAR PROGRAM<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01581253\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1993LN42100005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>362<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MEGIDDO, N; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">A UNIFIED APPROACH TO INTERIOR POINT ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS - A SUMMARY<\/td>\n<td>OPERATIONS RESEARCH LETTERS, Vol.10, No.5, pp.247-254<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\">INTERIOR-POINT METHODS; COMPLEMENTARITY; LINEAR PROGRAMMING; QUADRATIC PROGRAMMING; PATH-FOLLOWING; POTENTIAL REDUCTION<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/0167-6377(91)90010-M\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991GB77200001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>363<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">AN O(SQUARE-ROOT-N L) ITERATION POTENTIAL REDUCTION ALGORITHM FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.50, No.3, pp.331-342<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\">POTENTIAL REDUCTION ALGORITHM; LINEAR COMPLEMENTARITY PROBLEM; INTERIOR POINT ALGORITHM; KARMARKAR ALGORITHM; PATH OF CENTERS; CENTRAL TRAJECTORY<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01594942\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991FT43600003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>364<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MEGIDDO, N; NOMA, T; YOSHISE, A<\/td>\n<td class=\"title\">A UNIFIED APPROACH TO INTERIOR-POINT ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>LECTURE NOTES IN COMPUTER SCIENCE, Vol.538, pp.UR5-&amp;<\/td>\n<td class=\"year\">1991<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1991LE71700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>365<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">ELLIPSOIDS THAT CONTAIN ALL THE SOLUTIONS OF A POSITIVE SEMIDEFINITE LINEAR COMPLEMENTARITY-PROBLEM<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.48, No.3, pp.415-435<\/td>\n<td class=\"year\">1990<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01582266\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1990EE53500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>366<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>KOJIMA, M; MIZUNO, S; YOSHISE, A<\/td>\n<td class=\"title\">A POLYNOMIAL-TIME ALGORITHM FOR A CLASS OF LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>MATHEMATICAL PROGRAMMING, Vol.44, No.1, pp.1-26<\/td>\n<td class=\"year\">1989<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/BF01587074\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1989U824100001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u5409\u702c\u7ae0\u5b50\">\n<td>367<\/td>\n<td class=\"researcher-name\">\u5409\u702c\u7ae0\u5b50<\/td>\n<td>MIZUNO, S; YOSHISE, A; KIKUCHI, T<\/td>\n<td class=\"title\">PRACTICAL POLYNOMIAL-TIME ALGORITHMS FOR LINEAR COMPLEMENTARITY-PROBLEMS<\/td>\n<td>JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF JAPAN, Vol.32, No.1, pp.75-92<\/td>\n<td class=\"year\">1989<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.15807\/jorsj.32.75\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1989T750500005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>368<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nguyen, Hung Q.; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Subgame perfect Nash equilibrium analysis in a two-population strategic matching queue with nonzero matching times<\/td>\n<td>OPERATIONS RESEARCH LETTERS, Vol.63<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Queueing game; Multi-population game; Subgame perfect Nash equilibrium; Social optimization; Double-ended queue<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.orl.2025.107362\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001582459800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>369<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Inami, Koki; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Analysis of Dynamic Transaction Fee Blockchain Using Queueing Theory<\/td>\n<td>MATHEMATICS, Vol.13, No.6<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">blockchain; queueing theory; Ethereum; EIP-1559<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math13061010\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001452694700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>370<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Fair and efficient sharing: Dynamic pricing control for batch service system with strategic customers<\/td>\n<td>TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, Vol.171<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Shared-type transportation; Shuttle bus system; Queues with strategic customers; Batch service; Fair sharing; Dynamic pricing control<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.trc.2024.104994\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001406517800001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>371<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nakamura, Ayane; Tuan Phung-Duc<\/td>\n<td class=\"title\">Equilibrium Analysis and Social Optimization of a Selectable Single or Batch Services with General Service Time Distribution<\/td>\n<td>OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS, ICORES 2024, Vol.2545, pp.47-65<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">Queueing game; Mode choice; Batch service; Clearing system; Nash equilibrium; Social optimization; Socially optimal pricing<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-95646-1_3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001555667300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>372<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Wakigami, Kazuya; Machida, Fumio; Phung-duc, Tuan<\/td>\n<td class=\"title\">Empirical Architecture Comparison of Two-input Machine Learning Systems for Vision Tasks<\/td>\n<td>FORMAL ASPECTS OF COMPUTING, Vol.36, No.4<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">Energy consumption; machine learning system; performance; reliability; simulation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3674849\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001391320700004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>373<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Koyama, Yusei; Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Sojourn Time Analysis of a Single-Server Queue with Single- and Batch-Service Customers<\/td>\n<td>MATHEMATICS, Vol.12, No.18<\/td>\n<td class=\"year\">2024<\/td>\n<td class=\"keywords\">quasi-birth-and-death analysis; sojourn time distribution; first-step analysis; Laplace-Stieltjes transform; approximation analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math12182820\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001324019700001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>374<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Khuong, Mai Ngoc; Dang Tuan, Pham; Ngoc Duy Phuong, Nguyen<\/td>\n<td class=\"title\">The effects of analytical and holistic reasoning perspective on innovation and business performance, a study of state own, FDI and private company in Vietnam<\/td>\n<td>COGENT BUSINESS &amp; MANAGEMENT, Vol.10, No.1<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">strategy; innovation; business performance; analytic reasoning perspective<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1080\/23311975.2023.2200609\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000970496500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>375<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Ren, Yi; Phung-Duc, Tuan; Chen, Jyh-Cheng; Li, Frank Y.<\/td>\n<td class=\"title\">Enabling Dynamic Autoscaling for NFV in a Non-Standalone Virtual EPC: Design and Analysis<\/td>\n<td>IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, Vol.72, No.6, pp.7743-7756<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">EPC; network function virtualization; NFV instance resource allocation; dynamic autoscaling algorithm; modeling and analysis<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/TVT.2023.3237698\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001018210600062&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>376<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nazarov, Anatoly; Phung-Duc, Tuan; Paul, Svetlana; Morozova, Mariya<\/td>\n<td class=\"title\">Scaling Limits of a Tandem Queue with Two Infinite Orbits \u2020<\/td>\n<td>MATHEMATICS, Vol.11, No.11<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">tandem queueing networks; retrial; asymptotic analysis; two infinite orbits<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math11112454\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001005533400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>377<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nakamura, Ayane; Phung-Duc, Tuan<\/td>\n<td class=\"title\">A Moment Approach for a Conditional Central Limit Theorem of Infinite-Server Queue: A Case of M\/M<SUP>X<\/SUP>\/8 Queue<\/td>\n<td>MATHEMATICS, Vol.11, No.9<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">queueing model; infinite server; asymptotic analysis; weak law of large numbers; central limit theorem; moment approach; raw moment; factorial moment; stirling number; symbolic algorithm<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math11092088\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000987580900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>378<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nguyen, Hung Q.; Tuan Phung-Duc<\/td>\n<td class=\"title\">M\/M\/<i>c<\/i>\/Setup Queues: Conditional Mean Waiting Times and a Loop Algorithm to Derive Customer Equilibrium Threshold Strategy<\/td>\n<td>COMPUTER PERFORMANCE ENGINEERING, EPEW 2022, Vol.13659, pp.86-99<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Queueing system; Setup time; Game theory; Equilibrium threshold strategy; Data center<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-031-25049-1_6\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000964589100006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>379<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Machida, Yoshito; Phung-Duc, Tuan<\/td>\n<td class=\"title\">A Queueing Analysis of Multi-type Servers and Multi-type Customers System based on Gas Stations<\/td>\n<td>PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS (ICORES), pp.145-152<\/td>\n<td class=\"year\">2021<\/td>\n<td class=\"keywords\">Queueing Model; GI\/M\/1-type Markov Chain; Gas Station; Performance<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.5220\/0010816100003117\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000818727100015&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>380<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Nazarov, Anatoly; Moiseev, Alexander; Phung-Duc, Tuan; Paul, Svetlana<\/td>\n<td class=\"title\">Diffusion Limit of Multi-Server Retrial Queue with Setup Time<\/td>\n<td>MATHEMATICS, Vol.8, No.12<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">multi-server retrial queue; setup time; two-phased service; asymptotic analysis; long delay condition<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3390\/math8122232\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000601926300001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>381<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Dragieva, Velika I.; Tuan, Phung-Duc<\/td>\n<td class=\"title\">A finite-source M\/G\/1 retrial queue with outgoing calls<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.293, No.1, pp.101-121<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Finite queues; Retrials; Outgoing calls; Restriction on the orbit size<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-019-03359-z\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000567456600005&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>382<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Phung-Duc, Tuan; Takahashi, Yutaka; Takagi, Hideaki<\/td>\n<td class=\"title\">Preface: Queueing theory and network applications II<\/td>\n<td>ANNALS OF OPERATIONS RESEARCH, Vol.293, No.1, pp.1-1<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s10479-020-03618-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000528413400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>383<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>Dimitriou, Ioannis; Phung-Duc, Tuan<\/td>\n<td class=\"title\">Analysis of Cognitive Radio Networks with Cooperative Communication<\/td>\n<td>PROCEEDINGS OF THE 13TH EAI INTERNATIONAL CONFERENCE ON PERFORMANCE EVALUATION METHODOLOGIES AND TOOLS ( VALUETOOLS 2020), pp.192-195<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">retrial queues; multiple orbits; cognitive radio networks; cooperative communication; two-way communication<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1145\/3388831.3388859\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000632693800028&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"Phung-Duc Tuan\">\n<td>384<\/td>\n<td class=\"researcher-name\">Phung-Duc Tuan<\/td>\n<td>WESTON, JF; TUAN, PD<\/td>\n<td class=\"title\">COMMENT ON ANALYSIS OF CREDIT POLICY CHANGES<\/td>\n<td>FINANCIAL MANAGEMENT, Vol.9, No.4, pp.59-63<\/td>\n<td class=\"year\">1980<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.2307\/3664920\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:A1980KS22600008&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>385<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Toyoda, Akihiro; Kawamata, Yuji; Nakayama, Tomoru; Imakura, Akira; Sakurai, Tetsuya; Okada, Yukihiko<\/td>\n<td class=\"title\">Estimating covariate-balanced survival curve in distributed data environment using data collaboration quasi-experiment<\/td>\n<td>SCIENTIFIC REPORTS, Vol.16, No.1<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Data collaboration; Propensity score matching; Privacy-preserving survival analysis; Covariate adjustment; Survival curve<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-025-33245-7\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001669782400001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>386<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Kawakami, Yuta; Takano, Yuichi; Imakura, Akira<\/td>\n<td class=\"title\">New solutions based on the generalized eigenvalue problem for the data collaboration analysis<\/td>\n<td>INFORMATION SCIENCES, Vol.723<\/td>\n<td class=\"year\">2026<\/td>\n<td class=\"keywords\">Data collaboration; Eigenvalue problem; Decentralized data; Privacy; Machine learning<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.ins.2025.122642\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001583515600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>387<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi<\/td>\n<td class=\"title\">BLOCK CROSS-INTERACTIVE RESIDUAL SMOOTHING FOR LANCZOS-TYPE SOLVERS FOR LINEAR SYSTEMS WITH MULTIPLE RIGHT-HAND SIDES<\/td>\n<td>SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, Vol.46, No.4, pp.2501-2526<\/td>\n<td class=\"year\">2025<\/td>\n<td class=\"keywords\">multiple right-hand sides; block Lanczos-type solver; residual smoothing; residual gap; inexact orthonormalization<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/24M1720007\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001640189300003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>388<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Kagawa, Rina; Imakura, Akira; Matsubara, Masaki<\/td>\n<td class=\"title\">A Privacy-Preserving Technique to Identify the Useful Content of Documents Owned by Multiple Institutes<\/td>\n<td>LEVERAGING GENERATIVE INTELLIGENCE IN DIGITAL LIBRARIES: TOWARDS HUMAN-MACHINE COLLABORATION, ICADL 2023, PT I, Vol.14457, pp.218-227<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Document; Privacy-Preserving Analysis; Musical Education<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-981-99-8085-7_20\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001160644600020&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>389<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.424<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Generalized eigenvalue problem; Verified numerical computations; Rayleigh-Ritz procedure; Complex moment; Hermitian matrix<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2022.114994\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000911099600001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>390<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Complex moment-based methods for differential eigenvalue problems<\/td>\n<td>NUMERICAL ALGORITHMS, Vol.92, No.1, pp.693-721<\/td>\n<td class=\"year\">2023<\/td>\n<td class=\"keywords\">Differential eigenvalue problem; Solve-then-discretize paradigm; Higher-order complex moments; Ordinary differential equations; Error bounds<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s11075-022-01456-y\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000898430000002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>391<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Yamamoto, Ryuki; Hontani, Hidekata; Imakura, Akira; Yokota, Tatsuya<\/td>\n<td class=\"title\">Consistent MDT-Tucker: A Hankel Structure Constrained Tucker Decomposition in Delay Embedded Space<\/td>\n<td>PROCEEDINGS OF 2022 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), pp.137-142<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000922154500022&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>392<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Aihara, Kensuke; Imakura, Akira; Morikuni, Keiichi<\/td>\n<td class=\"title\">CROSS-INTERACTIVE RESIDUAL SMOOTHING FOR GLOBAL AND BLOCK LANCZOS-TYPE SOLVERS FOR LINEAR SYSTEMS WITH MULTIPLE RIGHT-HAND SIDES br<\/td>\n<td>SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, Vol.43, No.3, pp.1308-1330<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\">multiple right-hand sides; global Lanczos-type solver; block Lanczos-type solver; residual smoothing; residual gap<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1137\/21M1436774\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000861196300012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>393<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Yamamoto, Ryuki; Hontani, Hidekata; Imakura, Akira; Yokota, Tatsuya<\/td>\n<td class=\"title\">Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space<\/td>\n<td>2022 IEEE\/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), pp.2048-2056<\/td>\n<td class=\"year\">2022<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1109\/CVPR52688.2022.00210\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000867754202031&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>394<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Gu, Xian-Ming; Huang, Ting-Zhu; Carpentieri, Bruno; Imakura, Akira; Zhang, Ke; Du, Lei<\/td>\n<td class=\"title\">Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.375<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Krylov subspace methods; Shifted linear systems; Hessenberg procedure; GMRES; Shifted CMRH methods; FDEs<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2020.112788\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000526109700018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>395<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Morikuni, Keiichi; Takayasu, Akitoshi<\/td>\n<td class=\"title\">Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems<\/td>\n<td>JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Vol.369<\/td>\n<td class=\"year\">2020<\/td>\n<td class=\"keywords\">Partial eigenproblem; Contour integral; Complex moment; Verified numerical computations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1016\/j.cam.2019.112543\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000510954900027&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>396<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Yamamoto, Yusaku<\/td>\n<td class=\"title\">Efficient implementations of the modified Gram-Schmidt orthogonalization with a non-standard inner product<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.619-641<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Modified Gram-Schmidt orthogonalization; Non-standard inner product; Efficient implementations; Error bounds<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00356-4\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400016&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>397<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira<\/td>\n<td class=\"title\">Minimal residual-like condition with collinearity for shifted Krylov subspace methods<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.36, No.2, pp.643-661<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Shifted linear systems; Shifted Krylov subspace methods; Minimal residual-like condition; Collinearity<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-019-00357-3\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000473139400017&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>398<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Chiba, Naoya; Li, Mingyu; Imakura, Akira; Hashimoto, Koichi<\/td>\n<td class=\"title\">Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, ROBIO, pp.7-13<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">Bin-picking; 3D Measurement; 3D Object Detection<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001507600700002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>399<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Chiba, Naoya; Imakura, Akira; Hashimoto, Koichi<\/td>\n<td class=\"title\">Fast ADMM <i>l<\/i><sub>1<\/sub> minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition<\/td>\n<td>2019 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, ROBIO, pp.14-21<\/td>\n<td class=\"year\">2019<\/td>\n<td class=\"keywords\">3D Measurement; Light Transport Matrix; Alternating Direction Method of Multipliers (ADMM)<\/td>\n<td class=\"links\"><a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:001507600700003&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>400<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sogabe, Tomohiro; Zhang, Shao-Liang<\/td>\n<td class=\"title\">A Look-Back-type restart for the restarted Krylov subspace methods for solving non-Hermitian linear systems<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.35, No.2, pp.835-859<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">Non-Hermitian linear systems; Restarted Krylov subspace methods; Residual polynomials; A Look-Back-type restart<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-018-0308-x\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000435710100018&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>401<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Okawa, Hirotada; Harada, Akira; Sumiyoshi, Kohsuke; Yamada, Shoichi; Matsufuru, Hideo; Imakura, Akira<\/td>\n<td class=\"title\">Simulations of Core-collapse Supernovae in Spatial Axisymmetry with Full Boltzmann Neutrino Transport<\/td>\n<td>ASTROPHYSICAL JOURNAL, Vol.854, No.2<\/td>\n<td class=\"year\">2018<\/td>\n<td class=\"keywords\">hydrodynamics; neutrinos; supernovae: general<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3847\/1538-4357\/aaac29\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000425770500001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>402<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Sumiyoshi, Kohsuke; Yamada, Shoichi; Matsufuru, Hideo; Imakura, Akira<\/td>\n<td class=\"title\">Three-dimensional Boltzmann-Hydro Code for Core-collapse in Massive Stars. II. The Implementation of Moving-mesh for Neutron Star Kicks<\/td>\n<td>ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, Vol.229, No.2<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\">methods: numerical; neutrinos; radiative transfer; relativistic processes; (stars:) supernovae: general<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.3847\/1538-4365\/aa69ea\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000399788900001&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>403<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Tadano, Hiroto; Saito, Shusaku; Imakura, Akira<\/td>\n<td class=\"title\">Accuracy Improvement of the Shifted Block BiCGGR Method for Linear Systems with Multiple Shifts and Multiple Right-Hand Sides<\/td>\n<td>EIGENVALUE PROBLEMS: ALGORITHMS, SOFTWARE AND APPLICATIONS IN PETASCALE COMPUTING (EPASA 2015), Vol.117, pp.171-185<\/td>\n<td class=\"year\">2017<\/td>\n<td class=\"keywords\"><\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-62426-6_12\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000446299100012&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>404<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Li, Ren-Cang; Zhang, Shao-Liang<\/td>\n<td class=\"title\">Locally optimal and heavy ball GMRES methods<\/td>\n<td>JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Vol.33, No.2, pp.471-499<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">GMRES; Restarted GMRES; Locally optimal GMRES; Heavy ball GMRES; Linear system<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1007\/s13160-016-0220-1\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000379036300009&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>405<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Sumiyoshi, Kohsuke; Nagakura, Hiroki; Iwakami, Wakana; Furusawa, Shun; Matsufuru, Hideo; Imakura, Akira; Yamada, Shoichi<\/td>\n<td class=\"title\">Core-Collapse Supernovae Explored by Multi-D Boltzmann Hydrodynamic Simulations<\/td>\n<td>PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON NUCLEI IN THE COSMOS (NIC2016)<\/td>\n<td class=\"year\">2016<\/td>\n<td class=\"keywords\">supernova; neutrino transfer; hydrodynamics; simulation<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.7566\/JPSCP.14.010606\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000566261100039&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>406<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira<\/td>\n<td class=\"title\">An Efficient Algorithm to Construct an Orthonormal Basis for the Extended Krylov Subspace<\/td>\n<td>EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, Vol.4, No.3, pp.267-282<\/td>\n<td class=\"year\">2014<\/td>\n<td class=\"keywords\">Extended Krylov subspace; Krylov subspace; subspace projection methods; orthonormal basis; linear systems<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4208\/eajam.240413.020614a\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000340033900004&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>407<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, Akira; Sogabe, Tomohiro; Zhang, Shao-Liang<\/td>\n<td class=\"title\">An Efficient Variant of the GMRES(<i>m<\/i>) Method Based on the Error Equations<\/td>\n<td>EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, Vol.2, No.1, pp.19-32<\/td>\n<td class=\"year\">2012<\/td>\n<td class=\"keywords\">Nonsymmetric linear systems; GMRES(m) method; restart; error equations<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.4208\/eajam.280611.030911a\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000325516600002&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<tr data-researcher=\"\u4eca\u5009\u6681\">\n<td>408<\/td>\n<td class=\"researcher-name\">\u4eca\u5009\u6681<\/td>\n<td>Imakura, A.; Sogabe, T.; Zhang, S. -L.<\/td>\n<td class=\"title\">An implicit wavelet sparse approximate inverse preconditioner using block finger pattern<\/td>\n<td>NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, Vol.16, No.11-12, pp.915-928<\/td>\n<td class=\"year\">2009<\/td>\n<td class=\"keywords\">nonsymmetric linear systems; preconditioner; sparse approximate inverse; wavelet<\/td>\n<td class=\"links\"><a href=\"https:\/\/doi.org\/10.1002\/nla.657\" target=\"_blank\">DOI<\/a> \/ <a href=\"https:\/\/www.webofscience.com\/api\/gateway?GWVersion=2&amp;SrcApp=my-wos-app1&amp;SrcAuth=WosAPI&amp;KeyUT=WOS:000271806800006&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL\" target=\"_blank\">WoS<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<\/p><\/div>\n<p>  <script>\n    function switchTab(tabId) {\n      document.querySelectorAll('.tab-content').forEach(el =&gt; el.classList.remove('active'));\n      document.querySelectorAll('.tab-btn').forEach(el =&gt; el.classList.remove('active'));\n      document.getElementById(tabId).classList.add('active');\n      const tabMap = {'tab-grouped': 0, 'tab-search': 1, 'tab-multi': 2};\n      document.querySelectorAll('.tab-btn')[tabMap[tabId]].classList.add('active');\n    }<\/p>\n<p>    function applyFilters() {\n      const researcher = document.getElementById('filter-researcher').value;\n      const keyword = document.getElementById('filter-keyword').value.toLowerCase().trim();\n      const rows = document.querySelectorAll('#flat-table tbody tr');\n      let visible = 0;<\/p>\n<p>      rows.forEach(row =&gt; 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