Kei Terayama - RankMe

33 papers B 1C 1Misc 1Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices. CoRR Hikari Tomita, Nobuhiro Nakamura, Shoichi Ishida, Toshio Kamiya, Kei Terayama
2025	J	`jnl`	GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropy. J. Cheminformatics Hiroaki Shiokawa, Shoichi Ishida, Kei Terayama
2025	J	`jnl`	Large language models open new way of AI-assisted molecule design for chemists. J. Cheminformatics Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama
2025	J	`jnl`	Qcforever2: Advanced Automation of Quantum Chemistry Computations. J. Comput. Chem. Masato Sumita, Kei Terayama, Shoichi Ishida, Kensuke Suga, Shohei Saito, Koji Tsuda
2025	J	`jnl`	Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning. BMC Medical Informatics Decis. Mak. Yusuke Kobayashi, Naoki Fujiwara, Yuki Murakami, Shoichi Ishida, Sho Kinguchi, Tatsuya Haze, Kengo Azushima, Akira Fujiwara, Hiromichi Wakui, Masayoshi Sakakura, Kei Terayama, Nobuhito Hirawa, Tetsuo Isozaki, Hiroaki Yasuzaki, Hajime Takase, Yuichiro Yano, Kouichi Tamura
2024	J	`jnl`	Predicting condensate formation of protein and RNA under various environmental conditions. BMC Bioinform. Ka Yin Chin, Shoichi Ishida, Yukio Sasaki, Kei Terayama
2024	J	`jnl`	Target Material Property-Dependent Cluster Analysis of Inorganic Compounds. Adv. Intell. Syst. Nobuya Sato, Akira Takahashi, Shin Kiyohara, Kei Terayama, Ryo Tamura, Fumiyasu Oba
2023	J	`jnl`	AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data. J. Cheminformatics Yugo Shimizu, Masateru Ohta, Shoichi Ishida, Kei Terayama, Masanori Osawa, Teruki Honma, Kazuyoshi Ikeda
2023	J	`jnl`	An efficient segmentation method based on semi-supervised learning for seafloor monitoring in Pujada Bay, Philippines. Ecol. Informatics Shulei Wang, Katsunori Mizuno, Shigeru Tabeta, Kei Terayama, Shingo Sakamoto, Yusuke Sugimoto, Kenichi Sugimoto, Hironobu Fukami, Lea A. Jimenez
2023	J	`jnl`	Individual health-disease phase diagrams for disease prevention based on machine learning. J. Biomed. Informatics Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno
2022	J	`jnl`	AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge. J. Chem. Inf. Model. Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno
2022	J	`jnl`	Bayesian optimization package: PHYSBO. Comput. Phys. Commun. Yuichi Motoyama, Ryo Tamura, Kazuyoshi Yoshimi, Kei Terayama, Tsuyoshi Ueno, Koji Tsuda
2022	J	`jnl`	Correction to: Semi-automation of gesture annotation by machine learning and human collaboration. Lang. Resour. Evaluation Naoto Ienaga, Alice Cravotta, Kei Terayama, Bryan W. Scotney, Hideo Saito, Maria Grazia Busà
2022	J	`jnl`	Individual health-disease phase diagrams for disease prevention based on machine learning. CoRR Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno
2022	J	`jnl`	QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization. J. Chem. Inf. Model. Masato Sumita, Kei Terayama, Ryo Tamura, Koji Tsuda
2022	J	`jnl`	Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search. J. Chem. Inf. Model. Tatsuya Yoshizawa, Shoichi Ishida, Tomohiro Sato, Masateru Ohta, Teruki Honma, Kei Terayama
2022	J	`jnl`	Semi-automation of gesture annotation by machine learning and human collaboration. Lang. Resour. Evaluation Naoto Ienaga, Alice Cravotta, Kei Terayama, Bryan W. Scotney, Hideo Saito, Maria Grazia Busà
2022	J	`jnl`	Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network. J. Chem. Inf. Model. Atsushi Tokuhisa, Yoshinobu Akinaga, Kei Terayama, Yuji Okamoto, Yasushi Okuno
2021	J	`jnl`	Extraction of protein dynamics information from cryo-EM maps using deep learning. Nat. Mach. Intell. Shigeyuki Matsumoto, Shoichi Ishida, Mitsugu Araki, Takayuki Kato, Kei Terayama, Yasushi Okuno
2021	J	`jnl`	Pose Estimation of Swimming Fish Using NACA Airfoil Model for Collective Behavior Analysis. J. Robotics Mechatronics Hitoshi Habe, Yoshiki Takeuchi, Kei Terayama, Masa-Aki Sakagami
2021	J	`jnl`	Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations. J. Chem. Inf. Model. Biao Ma, Kei Terayama, Shigeyuki Matsumoto, Yuta Isaka, Yoko Sasakura, Hiroaki Iwata, Mitsugu Araki, Yasushi Okuno
2020	J	`jnl`	Coarse-Grained Diffraction Template Matching Model to Retrieve Multiconformational Models for Biomolecule Structures from Noisy Diffraction Patterns. J. Chem. Inf. Model. Atsushi Tokuhisa, Ryo Kanada, Shuntaro Chiba, Kei Terayama, Yuta Isaka, Biao Ma, Narutoshi Kamiya, Yasushi Okuno
2020	J	`jnl`	CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration. J. Cheminformatics Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kunihiro Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda
2019	J	`jnl`	Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks. J. Chem. Inf. Model. Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno
2018	J	`jnl`	Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach. J. Comput. Chem. Mitsugu Araki, Hiroaki Iwata, Biao Ma, Atsuto Fujita, Kei Terayama, Yukari Sagae, Fumie Ono, Koji Tsuda, Narutoshi Kamiya, Yasushi Okuno
2018	J	`jnl`	Machine learning accelerates MD-based binding pose prediction between ligands and proteins. Bioinform. Kei Terayama, Hiroaki Iwata, Mitsugu Araki, Yasushi Okuno, Koji Tsuda
2017	J	`jnl`	ChemTS: An Efficient Python Library for de novo Molecular Generation. CoRR Xiufeng Yang, Jinzhe Zhang, Kazuki Yoshizoe, Kei Terayama, Koji Tsuda
2016	J	`jnl`	Multiple fish tracking with an NACA airfoil model for collective behavior analysis. IPSJ Trans. Comput. Vis. Appl. Kei Terayama, Hitoshi Habe, Masa-Aki Sakagami
2015	J	`jnl`	A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and Its Applications to School of Fish. Int. J. Semantic Comput. Kei Terayama, Hirohisa Hioki, Masa-Aki Sakagami
2015	Misc	`conf`	A practical classifier for photographs and non-photographic images based on local visual features. MVA Kei Terayama, Hirohisa Hioki
2015	—	`conf`	Appearance-based multiple fish tracking for collective motion analysis. ACPR Kei Terayama, Koki Hongo, Hitoshi Habe, Masa-Aki Sakagami
2014	C	`conf`	A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and its Application to Estimation of Rotation Curve. ISM Kei Terayama, Hirohisa Hioki, Masa-Aki Sakagami
2013	B	`conf`	A Stream Calculus of Bottomed Sequences for Real Number Computation. MFPS Kei Terayama, Hideki Tsuiki