Kei Terayama
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ChemTS: an efficient python library for de novo molecular generation
X Yang, J Zhang, K Yoshizoe, K Terayama, K Tsuda
Science and technology of advanced materials 18 (1), 972-976, 2017
Population-based de novo molecule generation, using grammatical evolution
N Yoshikawa, K Terayama, M Sumita, T Homma, K Oono, K Tsuda
Chemistry Letters 47 (11), 1431-1434, 2018
Machine learning accelerates MD-based binding pose prediction between ligands and proteins
K Terayama, H Iwata, M Araki, Y Okuno, K Tsuda
Bioinformatics 34 (5), 770-778, 2018
Appearance-based multiple fish tracking for collective motion analysis
K Terayama, K Hongo, H Habe, M Sakagami
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 361-365, 2015
Deep-learning-based quality filtering of mechanically exfoliated 2D crystals
Y Saito, K Shin, K Terayama, S Desai, M Onga, Y Nakagawa, YM Itahashi, ...
npj Computational Materials 5 (1), 1-6, 2019
Efficient construction method for phase diagrams using uncertainty sampling
K Terayama, R Tamura, Y Nose, H Hiramatsu, H Hosono, Y Okuno, ...
Physical Review Materials 3 (3), 033802, 2019
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks
S Ishida, K Terayama, R Kojima, K Takasu, Y Okuno
Journal of chemical information and modeling 59 (12), 5026-5033, 2019
Multiple fish tracking with an NACA airfoil model for collective behavior analysis
K Terayama, H Habe, M Sakagami
IPSJ Transactions on Computer Vision and Applications 8 (1), 4, 2016
A measurement method for speed distribution of collective motion with optical flow and its application to estimation of rotation curve
K Terayama, H Hioki, MA Sakagami
2014 IEEE International Symposium on Multimedia, 32-39, 2014
Enhancing Biomolecular Sampling with Reinforcement Learning: A Tree Search Molecular Dynamics Simulation Method
K Shin, DP Tran, K Takemura, A Kitao, K Terayama, K Tsuda
ACS omega 4 (9), 13853-13862, 2019
Efficient recommendation tool of materials by an executable file based on machine learning
K Terayama, K Tsuda, R Tamura
Japanese Journal of Applied Physics 58 (9), 098001, 2019
Improving the Accuracy of Protein‐Ligand Binding Mode Prediction Using a Molecular Dynamics‐Based Pocket Generation Approach
M Araki, H Iwata, B Ma, A Fujita, K Terayama, Y Sagae, F Ono, K Tsuda, ...
Journal of Computational Chemistry 39 (32), 2679-2689, 2018
Fine-grained optimization method for crystal structure prediction
K Terayama, T Yamashita, T Oguchi, K Tsuda
npj Computational Materials 4 (1), 32, 2018
Integration of sonar and optical camera images using deep neural network for fish monitoring
K Terayama, K Shin, K Mizuno, K Tsuda
Aquacultural Engineering 86, 102000, 2019
Development of a towed optical camera array system (sss: Speedy sea scanner) for sea environmental monitoring
K Mizuno, S Tabeta, Y Matsumoto, S Sakamoto, Y Sugimoto, T Ogawa, ...
2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), 1-5, 2018
Development of coral-coverage estimation method using deep learning and sea trial: at Kujuku-shima islands
K Terayama, K Mizuno, M Deki, A Kawakubo, H Fukami, S Sakamoto, ...
2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), 1-5, 2018
Measuring tail beat frequency and coast phase in school of fish for collective motion analysis
K Terayama, H Hioki, M Sakagami
Eighth International Conference on Graphic and Image Processing (ICGIP 2016 …, 2017
A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and Its Applications to School of Fish
K Terayama, H Hioki, MA Sakagami
International Journal of Semantic Computing 9 (02), 143-168, 2015
A stream calculus of bottomed sequences for real number computation
K Terayama, H Tsuiki
Electronic Notes in Theoretical Computer Science 298, 383-402, 2013
Coarse-grained diffraction template matching model to retrieve multi-conformational models for biomolecule structures from noisy diffraction patterns
A Tokuhisa, R Kanada, S Chiba, K Terayama, Y Isaka, B Ma, N Kamiya, ...
Journal of Chemical Information and Modeling, 2020
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