X. Yang, J. Zhang, K. Yoshizoe, K. Terayama and K. Tsuda, ChemTS: an efficient python library for de novo molecular generation, Science and Technology of Advanced Materials, 18, 972-976, 2017.
K. Terayama, H. Iwata, M. Araki, Y. Okuno and K. Tsuda, Machine Learning Accelerates MD-based Binding-Pose Prediction between Ligands and Proteins, Bioinformatics, 2017, published online.
K. Terayama, H. Habe and M. Sakagami, Multiple fish tracking with an NACA airfoil model for collective behavior analysis, IPSJ Transactions on Computer Vision and Applications, 8(4), 1-7, 2016.
K. Terayama, K. Hongo, H. Habe and M. Sakagami, Appearance-based Multiple Fish Tracking for Collective Motion Analysis, The Third IAPR Asian Conference on Pattern Recognition (ACPR 2015), Kuala Lumpur, 2015.
K. Terayama and M. Sakagami, Measurement of Velocity Fields of Schools of Sardines and Existence of Averaged Tori, The First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015), pp.324-325, Kyoto, 2015.
K. Terayama, H. Hioki and M. Sakagami, A measurement method for speed distribution of collective motion with optical flow and its applications to school of fish, International Journal of Semantic Computing, Vol.9, No.2, pp.143-168, 2015.
K. Terayama and H. Hioki, A Practical Classifier for Photographs and Non-Photographic Images Based on Local Visual Features, The 14th IAPR Conference on Machine Vision Applications (MVA 2015), pp.307-311, Tokyo, 2015.
K. Terayama, H. Hioki and M. Sakagami, A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and its Application to Estimation of Rotation Curve, IEEE International Symposium on Multimedia (ISM 2014), pp.32-39, Taichung, 2014.
K. Terayama, H. Tsuiki, A Stream Calculus of Bottomed Sequences for Real Number Computation, Electronic Notes in Theoretical Computer Science, Vol.298, pp.383-402, 2013.