Prediction of Student Performance in Abacus-Based Calculation Using Matrix Factorization. - Keita Tokuda; David Kaschub; Takuma Ota; Yasunobu Hashimoto; Naoya Fujiwara; Akihito Sudo (UMAP (Adjunct Publication), 2020)

Chaos may enhance expressivity in cerebellar granular layer. - Keita Tokuda; Naoya Fujiwara; Akihito Sudo; Yuichi Katori (Neural Networks, 2021)

Utility of constraints reflecting system stability on analyses for biological models. - Yoshiaki Kariya; Masashi Honma; Keita Tokuda; Akihiko Konagaya; Hiroshi Suzuki (PLoS Comput. Biol., 2022)

Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer. - Tianxiang Lyu; Wataru Uchida; Zhe Sun; Christina Andica; Keita Tokuda; Rui Zou; Jie Mao; Keigo Shimoji; Koji Kamagata; Mitsuhisa Sato; Ryutaro Himeno; Shigeki Aoki (CoRR, 2024)

Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing. - Keita Tokuda; Yuichi Katori (Frontiers Artif. Intell., 2024)