• Liu Z, Xie X, He M, Zhao W, Wu Y, Cheng L, Zhang H and Wu Y. (2024). Smartboard: Visual Exploration of Team Tactics with LLM Agent. IEEE Transactions on Visualization and Computer Graphics. 31:1. (23-33). Online publication date: 1-Jan-2025.

    https://doi.org/10.1109/TVCG.2024.3456200

  • Takagi S and Nakada Y. (2024). Enhancing Formation Analysis Using Multi-layer Graph Convolutional Neural Networks and Geometric Formation Features 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS). 10.1109/SCISISIS61014.2024.10760047. 979-8-3503-7333-2. (1-6).

    https://ieeexplore.ieee.org/document/10760047/

  • Fujii K, Takeishi N, Kawahara Y and Takeda K. (2024). Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. Neural Networks. 10.1016/j.neunet.2023.11.068. 171. (40-52). Online publication date: 1-Mar-2024.

    https://linkinghub.elsevier.com/retrieve/pii/S0893608023006949

  • Dash A, Ye J and Wang G. A Review of Generative Adversarial Networks (GANs) and Its Applications in a Wide Variety of Disciplines: From Medical to Remote Sensing. IEEE Access. 10.1109/ACCESS.2023.3346273. 12. (18330-18357).

    https://ieeexplore.ieee.org/document/10372211/

  • Dossaji T, Praneetha B, Senthilnathan T, Srinivas K and Himadhith V. (2024). Basket Brain: A Hybrid Model for Basketball Play Generation. Innovative Computing and Communications. 10.1007/978-981-97-3588-4_26. (311-326).

    https://link.springer.com/10.1007/978-981-97-3588-4_26

  • Chase C. (2024). The Data Revolution: Cloud Computing, Artificial Intelligence, and Machine Learning in the Future of Sports. 21st Century Sports. 10.1007/978-3-031-38981-8_11. (191-205).

    https://link.springer.com/10.1007/978-3-031-38981-8_11

  • Takagi S and Nakada Y. (2023). Formation Analysis Method for Team Sports Using Deep Graph Convolutional Neural Network with Geometric Formation Features as Input 2023 IEEE Ninth Multimedia Big Data (BigMM). 10.1109/BigMM59094.2023.00011. 979-8-3503-6000-4. (27-31).

    https://ieeexplore.ieee.org/document/10411805/

  • Sakabe H and Nakada Y. (2023). Enhanced Method for Computing Optimal Dribbling Routes Using Tracking Data in Basketball 2023 IEEE Ninth Multimedia Big Data (BigMM). 10.1109/BigMM59094.2023.00009. 979-8-3503-6000-4. (11-18).

    https://ieeexplore.ieee.org/document/10411800/

  • Chao Y, Chen W, Peng J and Hu M. (2022). Learning Robust Latent Space of Basketball Player Trajectories for Tactics Analysis 2022 IEEE International Conference on Multimedia and Expo (ICME). 10.1109/ICME52920.2022.9859960. 978-1-6654-8563-0. (1-6).

    https://ieeexplore.ieee.org/document/9859960/

  • Hammes F, Hagg A, Asteroth A and Link D. (2022). Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges. Frontiers in Sports and Active Living. 10.3389/fspor.2022.861466. 4.

    https://www.frontiersin.org/articles/10.3389/fspor.2022.861466/full

  • Chen W, Tsai W, Chang H, Hu M and Chu W. (2022). Instant Basketball Defensive Trajectory Generation. ACM Transactions on Intelligent Systems and Technology. 13:1. (1-20). Online publication date: 28-Feb-2022.

    https://doi.org/10.1145/3460619

  • Javadpour L, Blakeslee J, Khazaeli M and Schroeder P. (2022). Optimizing the best play in basketball using deep learning. Journal of Sports Analytics. 10.3233/JSA-200524. 8:1. (1-7). Online publication date: 15-Feb-2022.

    https://journals.sagepub.com/doi/10.3233/JSA-200524

  • Lin Q. (2022). Increasing motivation and game performance of children in basketball classes using video applications. Current Psychology. 10.1007/s12144-022-02835-3.

    https://link.springer.com/10.1007/s12144-022-02835-3

  • Wu Y, Deng D, Xie X, He M, Xu J, Zhang H, Zhang H and Wu Y. OBTracker: Visual Analytics of Off-ball Movements in Basketball. IEEE Transactions on Visualization and Computer Graphics. 10.1109/TVCG.2022.3209373. (1-11).

    https://ieeexplore.ieee.org/document/9904482/

  • Fujii K. (2021). Data-Driven Analysis for Understanding Team Sports Behaviors. Journal of Robotics and Mechatronics. 10.20965/jrm.2021.p0505. 33:3. (505-514). Online publication date: 20-Jun-2021.

    https://www.fujipress.jp/jrm/rb/robot003300030505

  • Chang H, Chen W, Tsai W, Hu M and Chu W. An autoregressive generation model for producing instant basketball defensive trajectory. Proceedings of the 2nd ACM International Conference on Multimedia in Asia. (1-7).

    https://doi.org/10.1145/3444685.3446300

  • Mgaya G, Liu H and Zhang B. (2021). A Survey on Applications of Modern Deep Learning Techniques in Team Sports Analytics. Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). 10.1007/978-3-030-73689-7_42. (434-443).

    https://link.springer.com/10.1007/978-3-030-73689-7_42

  • Chase C. (2020). The Data Revolution: Cloud Computing, Artificial Intelligence, and Machine Learning in the Future of Sports. 21st Century Sports. 10.1007/978-3-030-50801-2_10. (175-189).

    http://link.springer.com/10.1007/978-3-030-50801-2_10