A Stream Calculus of Bottomed Sequences for Real Number Computation. - Kei Terayama; Hideki Tsuiki (MFPS, 2013)

A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and its Application to Estimation of Rotation Curve. - Kei Terayama; Hirohisa Hioki; Masa-Aki Sakagami (ISM, 2014)

Appearance-based multiple fish tracking for collective motion analysis. - Kei Terayama; Koki Hongo; Hitoshi Habe; Masa-Aki Sakagami (ACPR, 2015)

A practical classifier for photographs and non-photographic images based on local visual features. - Kei Terayama; Hirohisa Hioki (MVA, 2015)

A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and Its Applications to School of Fish. - Kei Terayama; Hirohisa Hioki; Masa-Aki Sakagami (Int. J. Semantic Comput., 2015)

Multiple fish tracking with an NACA airfoil model for collective behavior analysis. - Kei Terayama; Hitoshi Habe; Masa-Aki Sakagami (IPSJ Trans. Comput. Vis. Appl., 2016)

ChemTS: An Efficient Python Library for de novo Molecular Generation. - Xiufeng Yang; Jinzhe Zhang; Kazuki Yoshizoe; Kei Terayama; Koji Tsuda (CoRR, 2017)

Machine learning accelerates MD-based binding pose prediction between ligands and proteins. - Kei Terayama; Hiroaki Iwata; Mitsugu Araki; Yasushi Okuno; Koji Tsuda (Bioinform., 2018)

Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach. - Mitsugu Araki; Hiroaki Iwata; Biao Ma; Atsuto Fujita; Kei Terayama; Yukari Sagae; Fumie Ono; Koji Tsuda; Narutoshi Kamiya; Yasushi Okuno (J. Comput. Chem., 2018)

Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks. - Shoichi Ishida; Kei Terayama; Ryosuke Kojima; Kiyosei Takasu; Yasushi Okuno (J. Chem. Inf. Model., 2019)

CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration. - Ryosuke Shibukawa; Shoichi Ishida; Kazuki Yoshizoe; Kunihiro Wasa; Kiyosei Takasu; Yasushi Okuno; Kei Terayama; Koji Tsuda (J. Cheminformatics, 2020)

Coarse-Grained Diffraction Template Matching Model to Retrieve Multiconformational Models for Biomolecule Structures from Noisy Diffraction Patterns. - Atsushi Tokuhisa; Ryo Kanada; Shuntaro Chiba; Kei Terayama; Yuta Isaka; Biao Ma; Narutoshi Kamiya; Yasushi Okuno (J. Chem. Inf. Model., 2020)

Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations. - Biao Ma; Kei Terayama; Shigeyuki Matsumoto; Yuta Isaka; Yoko Sasakura; Hiroaki Iwata; Mitsugu Araki; Yasushi Okuno (J. Chem. Inf. Model., 2021)

Pose Estimation of Swimming Fish Using NACA Airfoil Model for Collective Behavior Analysis. - Hitoshi Habe; Yoshiki Takeuchi; Kei Terayama; Masa-Aki Sakagami (J. Robotics Mechatronics, 2021)

Extraction of protein dynamics information from cryo-EM maps using deep learning. - Shigeyuki Matsumoto; Shoichi Ishida; Mitsugu Araki; Takayuki Kato; Kei Terayama; Yasushi Okuno (Nat. Mach. Intell., 2021)

Bayesian optimization package: PHYSBO. - Yuichi Motoyama; Ryo Tamura; Kazuyoshi Yoshimi; Kei Terayama; Tsuyoshi Ueno; Koji Tsuda (Comput. Phys. Commun., 2022)

AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge. - Shoichi Ishida; Kei Terayama; Ryosuke Kojima; Kiyosei Takasu; Yasushi Okuno (J. Chem. Inf. Model., 2022)

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization. - Masato Sumita; Kei Terayama; Ryo Tamura; Koji Tsuda (J. Chem. Inf. Model., 2022)

Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network. - Atsushi Tokuhisa; Yoshinobu Akinaga; Kei Terayama; Yuji Okamoto; Yasushi Okuno (J. Chem. Inf. Model., 2022)

Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search. - Tatsuya Yoshizawa; Shoichi Ishida; Tomohiro Sato; Masateru Ohta; Teruki Honma; Kei Terayama (J. Chem. Inf. Model., 2022)

Semi-automation of gesture annotation by machine learning and human collaboration. - Naoto Ienaga; Alice Cravotta; Kei Terayama; Bryan W. Scotney; Hideo Saito 001; Maria Grazia Busà (Lang. Resour. Evaluation, 2022)

Correction to: Semi-automation of gesture annotation by machine learning and human collaboration. - Naoto Ienaga; Alice Cravotta; Kei Terayama; Bryan W. Scotney; Hideo Saito 001; Maria Grazia Busà (Lang. Resour. Evaluation, 2022)

Individual health-disease phase diagrams for disease prevention based on machine learning. - Kazuki Nakamura; Eiichiro Uchino; Noriaki Sato; Ayano Araki; Kei Terayama; Ryosuke Kojima; Koichi Murashita; Ken Itoh; Tatsuya Mikami; Yoshinori Tamada; Yasushi Okuno (J. Biomed. Informatics, 2023)

An efficient segmentation method based on semi-supervised learning for seafloor monitoring in Pujada Bay, Philippines. - Shulei Wang; Katsunori Mizuno; Shigeru Tabeta; Kei Terayama; Shingo Sakamoto; Yusuke Sugimoto; Kenichi Sugimoto; Hironobu Fukami; Lea A. Jimenez (Ecol. Informatics, 2023)

AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data. - Yugo Shimizu; Masateru Ohta; Shoichi Ishida; Kei Terayama; Masanori Osawa; Teruki Honma; Kazuyoshi Ikeda (J. Cheminformatics, 2023)

Target Material Property-Dependent Cluster Analysis of Inorganic Compounds. - Nobuya Sato; Akira Takahashi; Shin Kiyohara; Kei Terayama; Ryo Tamura; Fumiyasu Oba (Adv. Intell. Syst., 2024)

Predicting condensate formation of protein and RNA under various environmental conditions. - Ka Yin Chin; Shoichi Ishida; Yukio Sasaki; Kei Terayama (BMC Bioinform., 2024)

Qcforever2: Advanced Automation of Quantum Chemistry Computations. - Masato Sumita; Kei Terayama; Shoichi Ishida; Kensuke Suga; Shohei Saito; Koji Tsuda (J. Comput. Chem., 2025)

Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices. - Hikari Tomita; Nobuhiro Nakamura; Shoichi Ishida; Toshio Kamiya; Kei Terayama (CoRR, 2025)

Large language models open new way of AI-assisted molecule design for chemists. - Shoichi Ishida; Tomohiro Sato; Teruki Honma; Kei Terayama (J. Cheminformatics, 2025)

GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropy. - Hiroaki Shiokawa; Shoichi Ishida; Kei Terayama (J. Cheminformatics, 2025)

Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning. - Yusuke Kobayashi; Naoki Fujiwara; Yuki Murakami; Shoichi Ishida; Sho Kinguchi; Tatsuya Haze; Kengo Azushima; Akira Fujiwara; Hiromichi Wakui; Masayoshi Sakakura; Kei Terayama; Nobuhito Hirawa; et al. (BMC Medical Informatics Decis. Mak., 2025)