Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches-Reference-Cited by-同舟云学术

Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Wang Wei-Yao¹

Affiliation:

1. National Yang Ming Chiao Tung University, Hsinchu, Taiwan Roc

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557820

Reference18 articles.

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3. João Bento , Pedro Saleiro , André Ferreira Cruz , Mário A. T. Figueiredo, and Pedro Bizarro. 2021 . TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. In KDD. 2565--2573. João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, and Pedro Bizarro. 2021. TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. In KDD. 2565--2573.

4. Wei-Ta Chu and Samuel Situmeang. 2017. Badminton Video Analysis based on Spatiotemporal and Stroke Features. In ICMR. 448--451. Wei-Ta Chu and Samuel Situmeang. 2017. Badminton Video Analysis based on Spatiotemporal and Stroke Features. In ICMR. 448--451.

5. Tom Decroos , Lotte Bransen , Jan Van Haaren, and Jesse Davis . 2020 . VAEP : An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). In IJCAI. 4696--4700. Tom Decroos, Lotte Bransen, Jan Van Haaren, and Jesse Davis. 2020. VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). In IJCAI. 4696--4700.

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1. ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04