Early-Stopping of Scattering Pattern Observation with Bayesian Modeling. - Akinori Asahara; Hidekazu Morita; Chiharu Mitsumata; Kanta Ono; Masao Yano; Tetsuya Shoji (AAAI, 2019)

Accelerating small-angle scattering experiments with simulation-based machine learning. - Takuya Kanazawa; Akinori Asahara; Hidekazu Morita (CoRR, 2019)

EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering. - Akinori Asahara; Hidekazu Morita; Kanta Ono; Masao Yano; Tetsuya Shoji; Kotaro Saito; Chiharu Mitsumata (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Hitachi Materials Informatics Analytics Platform Assisting Rapid Development. - Yoshihiro Osakabe; Akinori Asahara; Hidekazu Morita (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Bayesian-Inference-based Inverse Estimation of Small Angle Scattering. - Akinori Asahara; Hidekazu Morita; Kanta Ono; Masao Yano; Chiharu Mitsumata; Tetsuya Shoji; Kotaro Saito (AAAI Spring Symposium: MLPS, 2021)

Interactive Support System for Idea Divergence-Convergence Iteration. - Akinori Asahara; Yoshihiro Osakabe; Karin Tsuda; Hidekazu Morita (IEEE Big Data, 2022)

ARTS: autonomous research topic selection system using word embeddings and network analysis. - Eri Teruya; Tadashi Takeuchi; Hidekazu Morita; Takayuki Hayashi; Kanta Ono (Mach. Learn. Sci. Technol., 2022)

Variational Bayes Decomposition for Inverse Estimation with Superimposed Multispectral Intensity. - Akinori Asahara; Yoshihiro Osakabe; Yamamoto Mitsuya; Hidekazu Morita (CoRR, 2024)

Similar Experimental Flow Search with Operation Grouping for Chemical Material Development. - Hideya Yoshiuchi; Naoki Takeishi; Hidekazu Morita (EIDWT, 2025)