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2020 – today
- 2023
[i3]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:
A benchmark for computational analysis of animal behavior, using animal-borne tags. CoRR abs/2305.10740 (2023)- 2021
- [j5]Takuma Abe, Natsumi Kubo, Kazuki Abe, Hirokazu Suzuki, Ken Yoda, Riichiro Tadakuma, Yuichi Tsumaki:
Study on hypercompact and lightweight data logger separators for wild animals. Adv. Robotics 35(2): 81-92 (2021) - [j4]Takuma Abe, Natsumi Kubo, Kazuki Abe, Hirokazu Suzuki, Yuichi Mizutani, Ken Yoda, Riichiro Tadakuma, Yuichi Tsumaki:
Development of Data Logger Separator for Bio-Logging of Wild Seabirds. J. Robotics Mechatronics 33(3): 446-456 (2021) - [c9]Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa:
Fréchet Kernel for Trajectory Data Analysis. SIGSPATIAL/GIS 2021: 221-224 - [c8]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:
Learning interaction rules from multi-animal trajectories via augmented behavioral models. NeurIPS 2021: 11108-11122 - [i2]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:
Learning interaction rules from multi-animal trajectories via augmented behavioral models. CoRR abs/2107.05326 (2021)
2010 – 2019
- 2019
- [j3]Ken Yoda:
Advances in bio-logging techniques and their application to study navigation in wild seabirds. Adv. Robotics 33(3-4): 108-117 (2019) - [j2]Ilya Ardakani, Koichi Hashimoto, Ken Yoda:
Context-based semantical vector representations for animal trajectories. Adv. Robotics 33(3-4): 118-133 (2019) - [j1]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:
Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis. Adv. Robotics 33(3-4): 134-152 (2019) - [c7]Shiho Koyama, Yuichi Mizutani, Ken Yoda:
Preliminary analysis of the foraging strategy of seabirds on the basis of their behavior and physiological cost. PerCom Workshops 2019: 697-699 - [c6]Emyo Fujioka, Genki Nakai, Dai Fukui, Ken Yoda, Shizuko Hiryu:
Investigation of Large-Scale Navigation Behavior of Echolocating Bats During Natural Foraging, Using GPS and Acoustic-GPS Data-Loggers. PerCom Workshops 2019: 700-702 - [c5]Hirokazu Suzuki, Yuichi Mizutani, Akira Narita, Ken Yoda:
Does Aging Change Foraging Behavior of Black-Tailed Gulls? PerCom Workshops 2019: 703-705 - [c4]Kanon Takemura, Tsubasa Hirakawa, Yuichi Mizutani, Hirokazu Suzuki, Michi Tsuruya, Ken Yoda:
Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning. PerCom Workshops 2019: 715-717 - [i1]Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda:
Improved Activity Forecasting for Generating Trajectories. CoRR abs/1912.05729 (2019) - 2018
- [c3]Ilya Ardakani, Koichi Hashimoto, Ken Yoda:
Understanding Animal Behavior Using Their Trajectories - A Case Study of Gender Specific Trajectory Trends. HCI (22) 2018: 3-22 - [c2]Takuto Sakuma, Kazuya Nishi, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Ichiro Takeuchi:
Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data. HCI (22) 2018: 125-138 - 2017
- [c1]Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi:
Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. ACPR 2017: 430-435
Coauthor Index
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