(Invited) Talk 

1. CASCB talk at Konstanz University, Machine learning-based analysis using multi-agent trajectories, 2023.9.11

2. AI symposium at 29th Congress of International Society of Biomechanics (ISB), Team sports analytics using machine learning, 2023.8.1

3. 2nd International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2023) in conjunction with the IEEE International Conference on Pervasive Computing and Communications (PerCom 2023), Learning Interaction Rules from Multi-Agent Trajectories, 2023.3.13 

4. The 4th TMI International Seminar (Nagoya University & Université Libre de Bruxelles Joint Event), Learning Interaction Rules from Small Amount of Multi-Agent Trajectories, 2022.12.1

5. 3rd Joint ERCIM - JST Workshop, Learning multi-agent rules from real-world trajectory data, 2022.10.20

6. Sport Event Taiwan Workshop 2022 Course, Team sports analytics using AI, 2022.5.4. 

7. 17th AIP Open Seminar, Data-driven Analysis for Multi-agent Trajectories in Team Sports, 2021.3.17. [slide] 

8. 2019 Distinguished Lecture and International Interdisciplinary Workshop, Dynamic mode decomposition and its applications (I), (II), Chungnam National University, 2019.8.5-6

9. The fourth international workshop on Skill Science, Human creative interaction of group sports: Information-based modeling, 2017.11.13

10. International Symposium Integrated Understanding for Emergent Property of Cooperation and Competition Dynamics, Globally competitive and locally coordinative dynamics and behavior in group sports,  2016.3.3  

11. Cognitive/Perceptual-motor control of human behavior, The body preparatory state to movable at any time in a ballgame situation, Nagoya Univ., 2014.11.22

Conference (first author and students, and refereed papers are removed. *equal contribution)

1. Kazuhiro Yamada, Keisuke Fujii, Impact of player combinations on scoring efficiency: using shooting style clustering based on Wasserstein distance of dynamic features, AUEB Sports Analytics Workshop & Conference, 2024.5

2. Keisuke Fujii, Estimation of counterfactual outcomes in basketball games with trajectory prediction, AUEB Sports Analytics Workshop & Conference, 2024.5

3. Taiga Someya, Atom Scott, Keisuke Fujii, Hidehisa Akiyama, Tomoharu Nakashima, Hitomi Yanaka, FootballGPT: Counterfactual Evaluation With a Foundation Model for Football, Opta Forum, 2024.3. 

4. Keisuke Fujii, Machine learning-based analysis with multi-agent trajectories, International Symposium of Hierarchical Bio-Navigation 2024, 2024.3.11

5. Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Hybrid Modeling of Machine Learning and Biological Behavioral Models for Flexible and Robust Navigation, International Symposium of Hierarchical Bio-Navigation 2024, 2024.3.11

6. Yu Teshima, Shoko Genda, Daichi Ohara, Yota, Aoki, Shizuko Hiryu, Keisuke Fujii, Flight prediction models built from measured obstacle avoidance behaviour of two species of echolocation bats, International Symposium of Hierarchical Bio-Navigation 2024, 2024.3.11

7. Makoto M. Itoh, Kanto Nishikawa, Keisuke Fujii, Analysis of sneaking behavior of Japanese fire-bellied newt using computer vision, International Symposium of Hierarchical Bio-Navigation 2024, 2024.3.11

8. Kei Shimoyama, Tsubasa Oyu, Kaito Saito, Taiga Sato, Kazuna Yamaguchi, Keisuke Fujii, Sachiko Tsuda, Analysis of the inter-individual interactions and neuronal basis of collective behavior in zebrafish, International Symposium of Hierarchical Bio-Navigation 2024, 2024.3.11

9. Rikuhei Umemoto, Keisuke Fujii, Evaluation of Team Defense Positioning by Computing Counterfactuals using StatsBomb 360 data,  StatsBomb Conference, 2023.10

10. Rikuhei Umemoto, Kazushi Tsutsui, Keisuke Fujii, Defensive team analysis in the 2022 World Cup based on the event prediction,  MathSport International, 2023.7

11. Ding Ning, Kazuya Takeda, Yingjiu Bei, Keisuke Fujii, Visual analysis of control area in badminton doubles using drone video dataset,  MathSport International, 2023.7

12. Tatsuya Yoshikawa (*), Ding Ning(*), Kazuya Takeda and Keisuke Fujii, Prediction of shot type and hit location based on pose information using badminton match videos,  MathSport International, 2023.7

13. Ziyi Zhang, Rory Bunker, Kazuya Takeda, Keisuke Fujii, Multi-agent deep-learning based comparative analysis in basketball, The 37th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2023), 2023.6

14. Ding Ning, Kazuya Takeda and Keisuke Fujii, Player evaluation in a racket sport via deep reinforcement learning with technical and tactical contexts, The 36th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2022), 2022.6

15. Hiroshi Nakahara, Kazuya Takeda and Keisuke Fujii, Evaluating a third base coach's decision making via game theory and machine learning,  MathSport International, 2022.7

16. Ziyi Zhang, Kazuya Takeda and Keisuke Fujii, Automatic screen-play classification in basketball via semi-supervised learning,  MathSport International, 2022.7

17. Kosuke Toda, Masakiyo Teranishi, Keisuke Kushiro & Keisuke Fujii, Evaluation of soccer team defense based on ball recovery and being attacked,  MathSport International, 2021 [slide]

18. Rory Bunker, Keisuke Fujii, Hiroyuki Hanada & Ichiro Takeuchi, Supervised sequential pattern mining for identifying important patterns of play in rugby,  MathSport International, 2021

19. Keisuke Fujii, Automatic classification of offensive and defensive tactical plays in team sports, The 2020 Yokohama Sport Conference, 2020.

20. Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara. Interpretable classification of complex collective motions using graph dynamic mode decomposition. 11th Asian Conference on Machine Learning (ACML2019) Workshop on Machine Learning for Trajectory, Activity, and Behavior (ACML-TAB), 2019 

21. Keisuke Fujii, Yuki Yoshihara, Yuji Yamamoto. An attack-and-defend competition as a redundant cognitive-motor system. 46th annual meeting of Society for Neuroscience, 2016.

22. Keisuke Fujii, Takeshi Koyama, Akira Rikukawa, Hiroshi Yamada, Yuji Yamamoto. Helping behavior toward a teammate: real-time group problem-solving at multiple spatial scales during a ballgame. The First International Symposium on Swarm Behavior and Bio-Inspired Robotics, 36-39, 2015.

23. Keisuke Fujii, Yuji Yamamoto. Interpersonal competition dynamics in a ballgame: Modeling of a 1-on-1 game and two opposing cognitive systems. International Society of Posture and Gait Research, 83, 2015.

24. Keisuke Fujii, Shinsuke Yoshioka, Tadao Isaka, Motoki Kouzaki. The role of the kinetic preparatory state in defending against a dribbler in a basketball 1-on-1 subphase, The 7th Asian-South Pacific Association of Sport Psychology, 2014. 

25. Keisuke Fujii,, Shinsuke Yoshioka, Tadao Isaka, Motoki Kouzaki. Unweighting state as a preparatory movement shorten the sidestep initiation for basketball players in 1-on-1 basketball situation. 18th Annual Congress of the European College of Sports Science, 290, 2013

26. Keisuke Fujii, Masahiro Shinya, Daichi Yamashita, Shingo Oda, Motoki Kouzaki. Anticipation of direction in the cutting maneuver is not influenced by experience in ball games. Journal of Sport & Exercise Psychology, 34, 226, 2012

27. Keisuke Fujii, Daichi Yamashita, Shinsuke Yoshioka, Motoki Kouzaki. Strategies for defending dribbler: Defender and dribbler interaction during a 1-on-1 basketball situation. 17th Annual Congress of the European College of Sports Science, 17, 117, 2012

28. Keisuke Fujii, Masahiro Shinya, Daichi Yamashita, Shingo Oda. A possible explanation of the anticipation skill of defenders in a quick change of running direction, based on the inverted pendulum model. 16th Annual Congress of the European College of Sports Science, 236, 2011.

29. Keisuke Fujii, Yosuke Yamada, Shingo Oda. Basketball players rotate their shoulders during running while dribbling. 57th Annual Meeting of American College of Sports Medicine, 42, 5, 687, 2010

Conference presentation not authored by me but students

1. Calvin Yeung, Rory Bunker, An Events and 360 Data-Driven Approach for Extracting Team Tactics and Evaluating Performance in Football,  StatsBomb Conference, 2023.10