[January 23, 2025] Our paper has been accepted at ICLR 2025 (OpenReview).
[October 29, 2024] Our paper has been accepted at WACV 2025.
[September 20, 2024] We have presented our paper at ICANN 2024 (arXiv).
[July 3, 2024] We have presented our paper at IEEE WCCI 2024 (arXiv).
[June 28, 2024] Our paper has been accepted by Medical Image Analysis.
[May 28, 2024] We have presented our paper at IEEE FG 2024 (arXiv).
[Feb 29, 2024] Our research proposal for Grant-in-Aid for Scientific Research (B) has been accepted.
[Feb 6, 2024] My (single-authored) paper has been accepted by IEEE Trans. on Neural Networks and Learning Systems (link).
Confidence calibration [IEEE TNNLS 2024] [WACV 2025]
Learning with limited annotation costs [WCCI 2024] [ICANN 2024]
Sparse Bayesian learning [ICLR 2021]
Deep generative models [KNOSYS 2019] [ISBI 2018]
Neural network based on probabilistic models [IEEE TNNLS 2015] [IEEE Access 2021]
Severity estimation using relative annotation [MIA 2024]
Endoscopic image analysis [MICCAI 2021]
Efficient annotation of medical images [MIA 2021]
Infant video analysis [Scientific Reports 2020] [Scientific Reports 2020]
Biosignal analysis using probabilistic models [IEEE TBME 2017] [IEEE TBME 2019]
Biosignal classification for human–machine interfaces [PLOS ONE 2017]
1989 Born in Hiroshima city, Japan
2012 Received B.E. degree from Hiroshima University
2014 Received M.E. degree from Hiroshima University
2015 Research Fellow of the Japan Society for the Promotion of Science(DC2)
2016 Received Ph.D. in Eng. degree from Hiroshima University
2016 Research Fellow of the Japan Society for the Promotion of Science(PD)
2017 Assistant Professor, Faculty of Information Science and Electrical Engineering, Kyushu University
2022 Associate Professor, Institute for Datability Science, Osaka University
2024 Associate Professor, D3 Center, Osaka University
D3 Center, Osaka University.
2-8 Yamadaoka, Suita, Osaka, 565-0871, JAPAN
Tel: +81-6-6105-6069
E-mail: hayashi[at]ids.osaka-u.ac.jp