Toward robustness against environmental change speed by artificial bee colony algorithm based on local information sharing. - Ryo Takano; Hiroyuki Sato; Tomohiro Harada; Keiki Takadama (CEC, 2015)

Real-time shape estimation of Kirchhoff elastic rod based on force/torque sensor. - Ryo Takano; Hiromi Mochiyama; Naoyuki Takesue (ICRA, 2017)

Study of Analytical Methods on the Relationship between Sleep Quality and Stress with a focus on Human Circadian Rhythm. - Ryo Takano; Satoshi Hasegawa; Yuta Umenai; Takato Tatsumi; Keiki Takadama; Toru Shimuta; Toru Yabe; Hideo Matsumoto (AAAI Spring Symposia, 2018)

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)

Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changes. - Ryo Takano; Hiroyuki Sato; Keiki Takadama (GECCO (Companion), 2018)

Toward Good Circadian Rhythm through an valuate of Stress Condition. - Ryo Takano; Sho Kajihara; Satoshi Hasegawa; Eiki Kitajima; Keiki Takadama; Toru Shimuta; Toru Yabe; Hideo Matsumoto (AAAI Spring Symposium: Interpretable AI for Well-being, 2019)

Sleep Stage Estimation Through Mattress Sensor. - Ryo Takano; Akari Tobaru; Iko Nakari; Keiki Takadama (AAAI Spring Symposium: Interpretable AI for Well-being, 2019)

Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. - Takuya Iwase; Ryo Takano; Fumito Uwano; Hiroyuki Sato; Keiki Takadama (CEC, 2019)

Simultaneous Local Adaptation for Different Local Properties. - Ryota Kobayashi; Ryo Takano; Hiroyuki Sato; Keiki Takadama (IES, 2019)

Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model. - Eisuke Ito; Takaya Ueda; Ryo Takano; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa (ICANN (2), 2022)

A comparative study by separating and combining swarm-based algorithms into modules. - Ryo Takano (KES, 2022)

Multi-Object Tracking as Continuous Dynamic Environment and its Exploration by Particle Swarm Optimization. - Ryo Takano (CEC, 2024)

Modeling and Verification of Variable Multi-Lane Intersection Controls for Autonomous Vehicles Using Uppaal SMC. - Akihito Hachiro; Masaki Nakamura 001; Kazutoshi Sakakibara; Takuya Matsumoto; Ryo Takano (ICMLC, 2024)

Formal Concept Analysis for Traffic Accident Summaries and Construction of Traffic Accident Prediction Model. - Haruto Murakami; Kazutoshi Sakakibara; Masaki Nakamura 001; Tatsuo Motoyoshi; Keisuke Hoshikawa; Takuya Matsumoto; Ryo Takano (ICMLC, 2024)

Investigation of Formal Verification of Autonomous Vehicle Control Systems Through Specification Translation from Cafeobj to Real-Time Maude. - Yifan Wang; Masaki Nakamura 001; Ryo Takano; Takuya Matsumoto; Kazutoshi Sakakibara (ICMLC, 2024)

Potential of Twist Sensing Based on Multimodal Interference in Polymer Optical Fibers without Core Offset. - Ryo Takano; Hamza Javid; Heeyoung Lee; Yosuke Mizuno (IEICE Trans. Electron., 2025)