Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. - Tsubasa Hirakawa; Takayoshi Yamashita; Ken Yoda; Toru Tamaki; Hironobu Fujiyoshi (ACPR, 2017)

Understanding Animal Behavior Using Their Trajectories - A Case Study of Gender Specific Trajectory Trends. - Ilya Ardakani; Koichi Hashimoto; Ken Yoda (HCI (22), 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 (HCI (22), 2018)

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 (PerCom 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 (PerCom Workshops, 2019)

Does Aging Change Foraging Behavior of Black-Tailed Gulls? - Hirokazu Suzuki; Yuichi Mizutani; Akira Narita; Ken Yoda (PerCom Workshops, 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 (PerCom Workshops, 2019)

Context-based semantical vector representations for animal trajectories. - Ilya Ardakani; Koichi Hashimoto; 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; et al. (Adv. Robotics, 2019)

Advances in bio-logging techniques and their application to study navigation in wild seabirds. - Ken Yoda (Adv. Robotics, 2019)

Improved Activity Forecasting for Generating Trajectories. - Daisuke Ogawa; Toru Tamaki; Tsubasa Hirakawa; Bisser Raytchev; Kazufumi Kaneda; Ken Yoda (CoRR, 2019)

Fréchet Kernel for Trajectory Data Analysis. - Koh Takeuchi 001; Masaaki Imaizumi; Shunsuke Kanda; Yasuo Tabei; Keisuke Fujii 001; Ken Yoda; Masakazu Ishihata; Takuya Maekawa (SIGSPATIAL/GIS, 2021)

Learning interaction rules from multi-animal trajectories via augmented behavioral models. - Keisuke Fujii 001; Naoya Takeishi; Kazushi Tsutsui; Emyo Fujioka; Nozomi Nishiumi; Ryoya Tanaka; Mika Fukushiro; Kaoru Ide; Hiroyoshi Kohno; Ken Yoda; Susumu Takahashi; Shizuko Hiryu; et al. (NeurIPS, 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)

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)

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; et al. (CoRR, 2023)