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Ryo Takano
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2020 – today
- 2024
- [c13]Ryo Takano:
Multi-Object Tracking as Continuous Dynamic Environment and its Exploration by Particle Swarm Optimization. CEC 2024: 1-8 - 2022
- [c12]Eisuke Ito, Takaya Ueda, Ryo Takano, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa:
Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model. ICANN (2) 2022: 432-444 - [c11]Ryo Takano:
A comparative study by separating and combining swarm-based algorithms into modules. KES 2022: 956-965
2010 – 2019
- 2019
- [c10]Ryo Takano, Sho Kajihara, Satoshi Hasegawa, Eiki Kitajima, Keiki Takadama, Toru Shimuta, Toru Yabe, Hideo Matsumoto:
Toward Good Circadian Rhythm through an valuate of Stress Condition. AAAI Spring Symposium: Interpretable AI for Well-being 2019 - [c9]Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama:
Sleep Stage Estimation Through Mattress Sensor. AAAI Spring Symposium: Interpretable AI for Well-being 2019 - [c8]Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama:
Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. CEC 2019: 800-807 - [c7]Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama:
Simultaneous Local Adaptation for Different Local Properties. IES 2019: 216-227 - 2018
- [c6]Ryo Takano, Satoshi Hasegawa, Yuta Umenai, Takato Tatsumi, Keiki Takadama, Toru Shimuta, Toru Yabe, Hideo Matsumoto:
Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm. AAAI Spring Symposia 2018 - [c5]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 - [c4]Ryo Takano, Hiroyuki Sato, Keiki Takadama:
Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changes. GECCO (Companion) 2018: 95-96 - [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
- [c2]Ryo Takano, Hiromi Mochiyama, Naoyuki Takesue:
Real-time shape estimation of Kirchhoff elastic rod based on force/torque sensor. ICRA 2017: 2508-2515 - 2015
- [c1]Ryo Takano, Hiroyuki Sato, Tomohiro Harada, Keiki Takadama:
Toward robustness against environmental change speed by artificial bee colony algorithm based on local information sharing. CEC 2015: 1424-1431
Coauthor Index
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