Ryo Takano

According to our database, Ryo Takano authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Object Tracking as Continuous Dynamic Environment and its Exploration by Particle Swarm Optimization.

Ryo Takano

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2022

A comparative study by separating and combining swarm-based algorithms into modules.

Ryo Takano

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2019

Simultaneous Local Adaptation for Different Local Properties.

Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama

Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2019

Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions.

Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Sleep Stage Estimation Through Mattress Sensor.

Ryo Takano, Akari Tobaru, Iko Nakari, Keiki Takadama

Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), 2019

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

Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), 2019

2018

Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changes.

Ryo Takano, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the 2018 AAAI Spring Symposia, 2018

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

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Real-time shape estimation of Kirchhoff elastic rod based on force/torque sensor.

Ryo Takano, Hiromi Mochiyama, Naoyuki Takesue

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015

Toward robustness against environmental change speed by artificial bee colony algorithm based on local information sharing.

Ryo Takano, Hiroyuki Sato, Tomohiro Harada, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2015