Ken Yoda

According to our database, Ken Yoda authored at least 16 papers between 2017 and 2023.

Collaborative distances:

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

2023

A benchmark for computational analysis of animal behavior, using animal-borne tags.

Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender, Christian Rutz

CoRR, 2023

2021

Development of Data Logger Separator for Bio-Logging of Wild Seabirds.

Takuma Abe, Natsumi Kubo, Kazuki Abe, Hirokazu Suzuki, Yuichi Mizutani, Ken Yoda, Riichiro Tadakuma, Yuichi Tsumaki

J. Robotics Mechatronics, 2021

Study on hypercompact and lightweight data logger separators for wild animals.

Takuma Abe, Natsumi Kubo, Kazuki Abe, Hirokazu Suzuki, Ken Yoda, Riichiro Tadakuma, Yuichi Tsumaki

Adv. Robotics, 2021

Learning interaction rules from multi-animal trajectories via augmented behavioral models.

Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fréchet Kernel for Trajectory Data Analysis.

Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2019

Improved Activity Forecasting for Generating Trajectories.

Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda

CoRR, 2019

Advances in bio-logging techniques and their application to study navigation in wild seabirds.

Ken Yoda

Adv. Robotics, 2019

Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis.

Takuto Sakuma, Kazuya Nishi, Kaoru Kishimoto, Kazuya Nakagawa, Masayuki Karasuyama, Yuta Umezu, Shinsuke Kajioka, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Matasaburo Fukutomi, Hisashi Shidara, Hiroto Ogawa, Ichiro Takeuchi

Adv. Robotics, 2019

Context-based semantical vector representations for animal trajectories.

Ilya Ardakani, Koichi Hashimoto, Ken Yoda

Adv. Robotics, 2019

Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning.

Kanon Takemura, Tsubasa Hirakawa, Yuichi Mizutani, Hirokazu Suzuki, Michi Tsuruya, Ken Yoda

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Does Aging Change Foraging Behavior of Black-Tailed Gulls?

Hirokazu Suzuki, Yuichi Mizutani, Akira Narita, Ken Yoda

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Preliminary analysis of the foraging strategy of seabirds on the basis of their behavior and physiological cost.

Shiho Koyama, Yuichi Mizutani, Ken Yoda

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Investigation of Large-Scale Navigation Behavior of Echolocating Bats During Natural Foraging, Using GPS and Acoustic-GPS Data-Loggers.

Emyo Fujioka, Genki Nakai, Dai Fukui, Ken Yoda, Shizuko Hiryu

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

2018

Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data.

Takuto Sakuma, Kazuya Nishi, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Ichiro Takeuchi

Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

Understanding Animal Behavior Using Their Trajectories - A Case Study of Gender Specific Trajectory Trends.

Ilya Ardakani, Koichi Hashimoto, Ken Yoda

Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

2017

Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction.

Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017