Feasibility Study on Deep Learning Scheme for Sign Language Motion Recognition. - Kazuki Sakamoto; Eiji Ota; Tatsunori Ozawa; Hiromitsu Nishimura; Hiroshi Tanaka (CISIS, 2018)

Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance. - Mizuho Nishio; Eiji Ota; Hidetoshi Matsuo; Takaaki Matsunaga; Aki Miyazaki; Takamichi Murakami (PeerJ Comput. Sci., 2023)

Optimizing statistical evaluation of multiclass classification in diagnostic radiology: a study of the two-parameter multidimensional nominal response model. - Mizuho Nishio; Eiji Ota (PeerJ Comput. Sci., 2024)

Development and Evaluation of a Review Tool for Beginners in Learning Sign Language. - Hiroshi Tanaka; Hiromu Kawaguchi; Kaisei Kameda; Takehiro Kurosawa; Kazuya Sasajima; Eiji Ota; Yuusuke Kawakita; Masaaki Kawana; Hiromitsu Nishimura (HCI (9), 2025)