Kei Terayama

发表

Improving the Accuracy of Protein‐Ligand Binding Mode Prediction Using a Molecular Dynamics‐Based Pocket Generation Approach

Koji Tsuda, Biao Ma, Hiroaki Iwata, 2018, J. Comput. Chem..

Measuring tail beat frequency and coast phase in school of fish for collective motion analysis

Masa-aki Sakagami, Kei Terayama, Hirohisa Hioki, 2017, International Conference on Graphic and Image Processing.

Extraction of Protein Dynamics Information Hidden in Cryogenic Electron Microscopy Maps Using Deep Learning

Yasushi Okuno, Mitsugu Araki, Kei Terayama, 2020, bioRxiv.

Population-based de novo molecule generation, using grammatical evolution

Koji Tsuda, Kenta Oono, Teruki Honma, 2018, 1804.02134.

Fine-grained optimization method for crystal structure prediction

Koji Tsuda, Tomoki Yamashita, Kei Terayama, 2018, npj Computational Materials.

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, 2015, Int. J. Semantic Comput..

A practical classifier for photographs and non-photographic images based on local visual features

Kei Terayama, Hirohisa Hioki, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

ChemTS: an efficient python library for de novo molecular generation

Koji Tsuda, Xiufeng Yang, Kazuki Yoshizoe, 2017, Science and technology of advanced materials.

A Stream Calculus of Bottomed Sequences for Real Number Computation

Hideki Tsuiki, Kei Terayama, 2013, MFPS.

Machine learning accelerates MD-based binding pose prediction between ligands and proteins

Koji Tsuda, Hiroaki Iwata, Yasushi Okuno, 2017, Bioinform..

Appearance-based multiple fish tracking for collective motion analysis

Hitoshi Habe, Kei Terayama, Koki Hongo, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

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, 2014, 2014 IEEE International Symposium on Multimedia.

Vision-based Measurement Methods for Schools of Fish and Analysis of their Behaviors

Kei Terayama, 2016 .

Multiple fish tracking with an NACA airfoil model for collective behavior analysis

Hitoshi Habe, Kei Terayama, Masa-Aki Sakagami, 2016, IPSJ Transactions on Computer Vision and Applications.

Pushing property limits in materials discovery via boundless objective-free exploration† †Electronic supplementary information (ESI) available: The details of BLOX and experimental spectroscopic data. See DOI: 10.1039/d0sc00982b

Shinsuke Ishihara, Kei Terayama, Daniel T. Payne, 2020, Chemical science.

Pose Estimation of Swimming Fish Using NACA Airfoil Model for Collective Behavior Analysis

Hitoshi Habe, Yoshiki Takeuchi, Kei Terayama, 2021, J. Robotics Mechatronics.