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ORCIDKazuma Matsumoto
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2020 – today
- 2023
[j2]Naofumi Komura, Kazuma Matsumoto, Shinji Igari, Takashi Ogawa, Sho Fujita, Keiichi Nakamoto
:
Computer Aided Process Planning for Rough Machining Based on Machine Learning with Certainty Evaluation of Inferred Results. Int. J. Autom. Technol. 17(2): 120-127 (2023)- 2022
- [c5]Kazuma Matsumoto, Takanori Hara, Yasuaki Yuda, Kenichi Higuchi:
Autonomous Decentralized User Association Method to Maximize Integrated System Throughput for Multi-service Coexistence. VTC Fall 2022: 1-5
2010 – 2019
- 2018
- [c4]Akari Tobaru, Fumito Uwano, Takuya Iwase, Kazuma Matsumoto, Ryo Takano, Yusuke Tajima, Yuta Umenai, Keiki Takadama:
Improving Sleep Stage Estimation Accuracy by Circadian Rhythm Extracted from a Low Frequency Component of Heart Rate. AAAI Spring Symposia 2018 - [c3]Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
XCSR based on compressed input by deep neural network for high dimensional data. GECCO (Companion) 2018: 1418-1425 - 2017
- [j1]Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
XCSR Learning from Compressed Data Acquired by Deep Neural Network. J. Adv. Comput. Intell. Intell. Informatics 21(5): 856-867 (2017) - [c2]Kazuma Matsumoto, Yasuo Okabe:
A Collusion-Resilient Hybrid P2P Framework for Massively Multiplayer Online Games. COMPSAC (2) 2017: 342-347 - 2016
- [c1]Kazuma Matsumoto, Yusuke Tajima, Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Learning classifier system with deep autoencoder. CEC 2016: 4739-4746
Coauthor Index
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