Yamada group
Terada group
Ono group
Hara group
Kumazaki group
Yamada group
Yosuke Fukuchi, Seiji Yamada (2023.12). Dynamic Selection of Reliance Calibration Cues With AI Reliance Model, IEEE Access, 10, 138870-138881, 10.1109/ACCESS.2023.3339548 [IF = 3.9]
Tetsuya Matsui, Seiji Yamada (2023.04). A design of trip recommendation robot agents with opinions. Multimedia Tools and Applications, 82, 41861-41877, https://doi.org/10.1007/s11042-023-14747-w [IF = 2.577]
Takahiro Tsumura, Seiji Yamada (2023.04). Influence of anthropomorphic agent on human empathy through games. IEEE Access, 40412-40429, 10.1109/ACCESS.2023.3269301 [IF = 3.476]
Takahiro Tsumura, Seiji Yamada (2023.02). Influence of agent’s self-disclosure on human empathy. PLOS ONE, 18(5): e0283955. https://doi.org/10.1371/journal.pone.0283955 [IF = 3.752]
Takato Okudo, Seiji Yamada (2023.02). Learning Potential in Subgoal-Based Reward Shaping. IEEE Access, 11, 17116–17137. doi:10.1109/ACCESS.2023.3246267 [IF = 3.476]
Terada group
Yang Li, Nobuhiro Mifune (2023.6). Punishment in the public goods game is evaluated negatively irrespective of non-cooperators’ motivation, Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1198797
Celso M. de Melo, Francisco C. Santos and Kazunori Terada (2023.9) Emotion Expression and Cooperation under Collective Risks, iScience, https://doi.org/10.1016/j.isci.2023.108063
Motoaki Sato, Kazunori Terada and Jonathan Gratch (2023.8). Teaching Reverse Appraisal to Improve Negotiation Skills, IEEE Transactions on Affective Computing, 1-14. https://doi.org/10.1109/taffc.2023.3285931
Ono group
Hara group
Shintaro Sukegawa, Sawako Ono, Futa Tanaka, Yuta Inoue, Takeshi Hara, Kazumasa Yoshii, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Shimada Katsumitsu, Fumi Nakai, Yasuhiro Nakai, Ryo Miyazaki, Satoshi Murakami, Hitoshi Nagatsuka, Minoru Miyake, Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologists, Scientific Reports volume 13, Article number: 11676 (2023) https://doi.org/10.1038/s41598-023-38343-y[IF: 4.996, 2021]
Kumazaki group
Yamada group
大島寛斗, 小松孝徳, 山田誠二 (2022). スロバーの回転速度がユーザの待ち時間に与える影響の考察, 情報処理学会論文誌, 63(3), 917-926.
Shin Sano, Seiji Yamada (2022). AI-Assisted Design Concept Exploration Through Character Space Construction. Frontiers in Psychology, 12. doi:10.3389/fpsyg.2021.819237
Terada group
Ono group
Hara group
Shintaro Sukegawa, Futa Tanaka, Takeshi Hara, Kazumasa Yoshii, Katsusuke Yamashita, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Hitoshi Nagatsuka, Yoshihiko Furuki (2022.10), Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography. Scientific Reports, 12(1), 16925-16925, doi.org/10.1038/s41598-022-21408-9
Sukegawa, Shintaro, Tanaka, Futa, Nakano, Keisuke, Hara, Takeshi, Yoshii, Kazumasa, Yamashita, Katsusuke, Furuki, Yoshihiko, Effective deep learning for oral exfoliative cytology classification. Scientific Reports, 12(1), 13281. doi:10.1038/s41598-022-17602-4
Sukegawa, Shintaro, Yoshii, Kazumasa, Hara, Takeshi, Tanaka, Futa, Yamashita, Katsusuke, Kagaya, Tutaro, Nakano, Keisuke, Takabatake, Kiyofumi, Kawai, Hotaka, Nagatsuka, Hiroshi, Furuki, Yoshihiko, Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning? PLOS ONE, 17(7), 1–15. doi:10.1371/journal.pone.0269016
Shimpei Akiyama, Taiki Nozaki, Atsushi Tasaki, Saya Horiuchi, Takeshi Hara, Kei Yamada, Nobuto Kitamura (2022.03). Longitudinal MR quantification of the fat fraction within the supraspinatus and infraspinatus muscles in patients with shoulder pain, Academic Radiology, March, DOI:https://doi.org/10.1016/j.acra.2022.02.011
Shintaro Sukegawa, Tamamo Matsuyama, Futa Tanaka, Takeshi Hara, Kazumasa Yoshii, Katsusuke Yamashita, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Hitoshi Nagatsuka, Yoshihiko Furuki (2022). Evaluation of multi-task learning in deep learning-based positioning classification of mandibular third molars, Scientific Reports, vol.12. https://doi.org/10.1038/s41598-021-04603-y