Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli. - Yoshiyuki Sato; Taro Toyoizumi; Kazuyuki Aihara (Neural Comput., 2007)

A Method for Grouping Symbol Nodes of Group Shuffled BP Decoding Algorithm. - Yoshiyuki Sato; Gou Hosoya; Hideki Yagi; Shigeichi Hirasawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Integrative Bayesian model on two opposite types of sensory adaptation. - Yoshiyuki Sato; Kazuyuki Aihara (Artif. Life Robotics, 2009)

Reinforcement Learning, not Supervised Learning, Can Lead to Insight. - Arata Nonami; Haruaki Fukuda; Yoshiyuki Sato; Kazuyuki Samejima; Kazuhiro Ueda (CogSci, 2018)

Quali-Informatics in the Society with Yotta Scale Data. - Satoshi Shioiri; Yoshiyuki Sato; Yuta Horaguchi; Hiroaki Muraoka; Mariko Nihei (ISCAS, 2021)

Analysis of Facial Expressions for the Estimation of Concentration on Online Lectures. - Renjun Miao; Haruka Kato; Yasuhiro Hatori; Yoshiyuki Sato; Satoshi Shioiri (WCCE, 2022)

Detecting Learners' Hint Inquiry Behaviors in e-Learning Environment by using Facial Expressions. - Guan-Yun Wang; Hikaru Nagata; Yasuhiro Hatori; Yoshiyuki Sato; Chia-huei Tseng; Satoshi Shioiri (L@S, 2023)

Analysis of Facial Expressions to Estimate the Level of Engagement in Online Lectures. - Renjun Miao; Haruka Kato; Yasuhiro Hatori; Yoshiyuki Sato; Satoshi Shioiri (IEEE Access, 2023)

Different Mechanisms for Visual Attention at the Hand-movement Goal and Endogenous Visual Attention. - Wei Wu; Zhan Li; Takumi Miura; Yasuhiro Hatori; Chia-huei Tseng; Ichiro Kuriki; Yoshiyuki Sato; Satoshi Shioiri (J. Cogn. Neurosci., 2023)

Predicting learners' engagement and help-seeking behaviors in an e-learning environment by using facial and head pose features. - Guan-Yun Wang; Yasuhiro Hatori; Yoshiyuki Sato; Chia-huei Tseng; Satoshi Shioiri (Comput. Educ. Artif. Intell., 2025)