Learning classifier system with deep autoencoder. - Kazuma Matsumoto; Yusuke Tajima; Rei Saito; Masaya Nakata; Hiroyuki Sato; Tim Kovacs; Keiki Takadama (CEC, 2016)

A Collusion-Resilient Hybrid P2P Framework for Massively Multiplayer Online Games. - Kazuma Matsumoto; Yasuo Okabe (COMPSAC (2), 2017)

XCSR Learning from Compressed Data Acquired by Deep Neural Network. - Kazuma Matsumoto; Takato Tatsumi; Hiroyuki Sato; Tim Kovacs; Keiki Takadama (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Improving Sleep Stage Estimation Accuracy by Circadian Rhythm Extracted from a Low Frequency Component of Heart Rate. - Akari Tobaru; Fumito Uwano; Takuya Iwase; Kazuma Matsumoto; Ryo Takano; Yusuke Tajima; Yuta Umenai; Keiki Takadama (AAAI Spring Symposia, 2018)

XCSR based on compressed input by deep neural network for high dimensional data. - Kazuma Matsumoto; Ryo Takano; Takato Tatsumi; Hiroyuki Sato; Tim Kovacs; Keiki Takadama (GECCO (Companion), 2018)

Autonomous Decentralized User Association Method to Maximize Integrated System Throughput for Multi-service Coexistence. - Kazuma Matsumoto; Takanori Hara; Yasuaki Yuda; Kenichi Higuchi (VTC Fall, 2022)

Computer Aided Process Planning for Rough Machining Based on Machine Learning with Certainty Evaluation of Inferred Results. - Naofumi Komura; Kazuma Matsumoto; Shinji Igari; Takashi Ogawa; Sho Fujita; Keiichi Nakamoto (Int. J. Autom. Technol., 2023)