上位学術誌・国際会議への採択論文一覧(2021年度)

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採択論文

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2021年度に人工知能科学センター構成員の下記の論文が、各分野上位の学術誌・国際会議に採択されました。

数理アルゴリズム分野
[1] Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai:
Interpretable collaborative data analysis on distributed data,
Expert Systems with Applications, Vol. 177, Article 114891, 2021.
詳細はこちら:https://doi.org/10.1016/j.eswa.2021.114891

機械学習分野
[2] Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui:
Constrained mutual convex cone method for image set based recognition,
Pattern Recognition, Vol. 121, Article 108190, 2022.
詳細はこちら:https://doi.org/10.1016/j.patcog.2021.108190

[3] Bernardo B. Gatto, Eulanda Miranda dos Santos, Alessandro L.
Koerich, Kazuhiro Fukui, Waldir S. S. Junior:
Tensor analysis with n-mode generalized difference subspace,
Expert Systems with Applications, Vol. 171, Article 114559, 2021.
詳細はこちら:https://doi.org/10.1016/j.eswa.2020.114559

[4] Erica K. Shimomoto, François Portet, Kazuhiro Fukui:
Text classification based on the word subspace representation,
Pattern Analysis and Application, Vol. 24, No. 3, pp. 1075-1093, 2021.
詳細はこちら:https://doi.org/10.1007/s10044-021-00960-6

[5] Bernardo B. Gatto, Eulanda M. dos Santos, Marco A.F. Molinetti,
Kazuhiro Fukui:
Multilinear clustering via tensor Fukunaga–Koontz transform with
Fisher eigenspectrum regularization,
Applied Soft Computing, Vol. 113, Article 107899, 2021.
詳細はこちら:https://doi.org/10.1016/j.asoc.2021.107899

[6] Shimon Nakaune, Satoshi Iizuka, Kazuhiro Fukui:
Skeleton-aware text image super-resolution,
Proceedings of the British Machine Vision Conference, 2021.
詳細はこちら:https://www.bmvc2021-virtualconference.com/conference/papers/paper_1482.html

[7] Taro Tezuka, Deependra Kumar, Sima Singh, Iyo Koyanagi, Toshie
Naoi, Masanori Sakaguchi:
Real-time, automatic, open-source sleep stage classification system
using single EEG for mice,
Scientific Reports, Vol. 11, Article 11151, 2021.
詳細はこちら:https://doi.org/10.1038/s41598-021-90332-1

ビッグデータ・クラウド分野
[8] Hiroyoshi Ito, Christos Faloutsos:
DualCast: Friendship-preference co-evolution forecasting for
attributed networks,
Proceedings of the SIAM International Conference on Data Mining, 2022.
詳細はこちら:https://doi.org/10.1137/1.9781611977172.6

[9] Masaki Matsubara, Ria Mae Borromeo, Sihem Amer-Yahia, Atsuyuki Morishima:
Task assignment strategies for crowd worker ability improvement,
Proceedings of the ACM on Human-Computer Interaction, 2021.
詳細はこちら:https://doi.org/10.1145/3479519

サービス工学分野
[10] Hiroki Saishu, Kota Kudo, Yuichi Takano:
Sparse Poisson regression via mixed-integer optimization,
PLoS ONE, Vol. 16, No. 4, Article e0249916.
詳細はこちら:https://doi.org/10.1371/journal.pone.0249916

[11] Ayane Nakamura, Tuan Phung-Duc, Hiroyasu Ando:
Queueing analysis of a car/ride-share system,
Annals of Operations Research, Vol. 310, No. 2, pp. 661-682, 2022.
詳細はこちら:https://doi.org/10.1007/s10479-021-04313-8

[12] Tuan Phung-Duc, Kohei Akutsu, Ken’ichi Kawanishi, Osama Salameh,
Sabine Wittevrongel:
Queueing models for cognitive wireless networks with sensing time of
secondary users,
Annals of Operations Research, Vol. 310, No. 2, pp. 641-660, 2022.
詳細はこちら:https://doi.org/10.1007/s10479-021-04118-9

[13] Cheng-Ying Hsieh, Tuan Phung-Duc, Yi Ren, Jyh-Cheng Chen:
Design and analysis of dynamic block-setup reservation algorithm for
5G network slicing,
IEEE Transactions on Mobile Computing (accepted).
詳細はこちら:https://doi.org/10.1109/TMC.2022.3169034

モビリティ分野
[14] Yuichi Saito, Makoto Itoh, Toshiyuki Inagaki:
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,
IEEE Transactions on Human-Machine Systems, Vol. 52, No. 1, pp. 74-86, 2022.
詳細はこちら:https://doi.org/10.1109/THMS.2021.3123171

[15] Huiping Zhou, Makoto Itoh, Satoshi Kitazaki:
How does explanation-based knowledge influence driver take-over to
conditional driving automation?,
IEEE Transactions on Human-Machine Systems, Vol. 51, No. 3, pp. 188-197, 2021.
詳細はこちら:https://doi.org/10.1109/THMS.2021.3051342

[16] Yuichi Saito, Yuta Watahiki, Chokiu Leung, Huiping Zhou, Makoto Itoh:
Effect of verbal messages with reminders to communicate driving
situations to alter driver behavior in conditional driving automation,
Transportation Research Part F: Psychology and Behaviour, Vol. 85,
pp. 69-82, 2022.
詳細はこちら:https://doi.org/10.1016/j.trf.2022.01.003

[17] Jieun Lee, Genya Abe, Kenji Sato, Makoto Itoh:
Developing human-machine trust: Impacts of prior instruction and
automation failure on driver trust in partially automated vehicles,
Transportation Research Part F: Psychology and Behaviour, Vol. 81,
pp. 384-395, 2021.
詳細はこちら:https://doi.org/10.1016/j.trf.2021.06.013

[18] Huiping Zhou, Keita Kamijo, Makoto Itoh, Satoshi Kitazaki:
Effects of explanation-based knowledge regarding system functions and
driver’s roles on driver takeover during conditionally automated
driving: A test track study,
Transportation Research Part F: Psychology and Behaviour, Vol. 77,
pp. 1-9, 2021.
詳細はこちら:https://doi.org/10.1016/j.trf.2020.11.015

[19] Yusuke Yamani, Shelby K Long, Jieun Lee, James Unverricht, Makoto Itoh:
Does automation trust evolve from a leap of faith? An analysis using
a reprogrammed pasteurizer simulation task,
Applied Ergonomics, Volume 100, Article 103674, 2022.
詳細はこちら:https://doi.org/10.1016/j.apergo.2021.103674.

[20] Jieun Lee, Yusuke Yamani, Shelby K. Long, James Unverricht, Makoto Itoh:
Revisiting human-machine trust: A replication study of Muir & Moray
(1996) using a simulated pasteurizer plant task,
Ergonomics, Vol. 64, No. 9, pp. 1132-1145, 2021.
詳細はこちら:https://doi.org/10.1080/00140139.2021.1909752

[21] Yuichi Saito, Fumio Sugaya, Shintaro Inoue, Pongsathorn
Raksincharoensak, Hideo Inoue:
A context-aware driver model for determining recommended speed in
blind intersection situations,
Accident Analysis and Prevention, Vol. 163, Article 106447, 2021.
詳細はこちら:https://doi.org/10.1016/j.aap.2021.106447

[22] Yuichi Saito, Ryoma Yoshimi, Shinichi Kume, Xun Shen, Akito
Yamasaki, Ryosuke Matsumi, Takuma Ito, Toshiki Kinoshita, Shintaro
Inoue, Tsukasa Shimizu, Masao Nagai, Hideo Inoue, Pongsathorn
Raksincharoensak:
Effectiveness of a driver assistance system with deceleration control
and brake hold functions in stop sign intersection scenarios,
IEEE Transactions on Intelligent Transportation Systems (accepted).
詳細はこちら:https://doi.org/10.1109/TITS.2021.3085847

[23] Yuichi Saito, Ryoma Yoshimi, Shinichi Kume, Masahiro Imai, Akito
Yamasaki, Takuma Ito, Shintaro Inoue, Tsukasa Shimizu, Masao Nagai,
Hideo Inoue, Pongsathorn Raksincharoensak:
Effects of a driver assistance system with foresighted deceleration
control on the driving performance of elderly and younger drivers,
Transportation Research Part F: Traffic Psychology and Behaviour, Vol.
77, pp. 221-235, 2021.
詳細はこちら:https://doi.org/10.1016/j.trf.2020.12.017

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