| Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction M Teranishi, K Tsutsui, K Takeda, K Fujii International Workshop on Machine Learning and Data Mining for Sports …, 2022 | 25 | 2022 |
| Learning interaction rules from multi-animal trajectories via augmented behavioral models K Fujii, N Takeishi, K Tsutsui, E Fujioka, N Nishiumi, R Tanaka, ... Advances in Neural Information Processing Systems 34, 11108-11122, 2021 | 19 | 2021 |
| Location analysis of players in uefa euro 2020 and 2022 using generalized valuation of defense by estimating probabilities R Umemoto, K Tsutsui, K Fujii arXiv preprint arXiv:2212.00021, 2022 | 13 | 2022 |
| Human navigational strategy for intercepting an erratically moving target in chase and escape interactions K Tsutsui, M Shinya, K Kudo Journal of motor behavior 52 (6), 750-760, 2020 | 11 | 2020 |
| Action valuation of on-and off-ball soccer players based on multi-agent deep reinforcement learning H Nakahara, K Tsutsui, K Takeda, K Fujii IEEE Access 11, 131237-131244, 2023 | 8 | 2023 |
| Spatiotemporal characteristics of an attacker’s strategy to pass a defender effectively in a computer-based one-on-one task K Tsutsui, M Shinya, K Kudo Scientific Reports 9 (1), 17260, 2019 | 6 | 2019 |
| Emergence of collaborative hunting via multi-agent deep reinforcement learning K Tsutsui, K Takeda, K Fujii International Conference on Pattern Recognition, 210-224, 2022 | 5 | 2022 |
| Flexible prediction of opponent motion with internal representation in interception behavior K Tsutsui, K Fujii, K Kudo, K Takeda Biological Cybernetics 115 (5), 473-485, 2021 | 5 | 2021 |
| Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations K Fujii, K Tsutsui, A Scott, H Nakahara, N Takeishi, Y Kawahara arXiv preprint arXiv:2305.13030, 2023 | 4 | 2023 |
| Collaborative hunting in artificial agents with deep reinforcement learning K Tsutsui, R Tanaka, K Takeda, K Fujii Elife 13, e85694, 2024 | 3 | 2024 |
| Synergizing deep reinforcement learning and biological pursuit behavioral rule for robust and interpretable navigation K Tsutsui, K Takeda, K Fujii 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023 | 3 | 2023 |
| Underlying structure in the dynamics of chase and escape interactions K Tsutsui, M Shinya, K Kudo Scientific Reports 9 (1), 15051, 2019 | 2 | 2019 |
| Runner re-identification from single-view video in the open-world setting T Suzuki, K Tsutsui, K Takeda, K Fujii arXiv preprint arXiv:2310.11700, 2023 | 1 | 2023 |
| Runner re-identification from single-view running video in the open-world setting T Suzuki, K Tsutsui, K Takeda, K Fujii Multimedia Tools and Applications, 1-17, 2024 | | 2024 |
| Study on the resilient role in coordinated behavior of a triad using deep reinforcement learning and rule-based modeling J Ichikawa, K Tsutsui, K Fujii IEICE Technical Report; IEICE Tech. Rep. 122 (413), 100-105, 2023 | | 2023 |
| Dynamics of Interception in defender versus attacker K Tsutsui, M Shinya, K Kudo JOURNAL OF SPORT & EXERCISE PSYCHOLOGY 39, S202-S202, 2017 | | 2017 |
| Defensive team analysis in the 2022 World Cup based on the event prediction R Umemoto, K Tsutsui, K Fujii 10th MathSport International Conference Proceedings 2023, 0 | | |
