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Cooperative play classification in team sports via semi-supervised learning Cover

Cooperative play classification in team sports via semi-supervised learning

International Journal of Computer Science in Sport
Volume 21 (2022): Issue 1 (March 2022)
By: Zhang Ziyi,  Kazuya Takeda and  Keisuke Fujii  
Open Access
|Nov 2022

Authors

Zhang Ziyi

Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan

Kazuya Takeda

Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan

Keisuke Fujii

Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan
RIKEN Center for Advanced Intelligence Project, Fukuoka, Fukuoka, Japan
PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan
DOI: https://doi.org/10.2478/ijcss-2022-0006 | Journal eISSN: 1684-4769
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Language: English
Page range: 111 - 121
Published on: Nov 17, 2022
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
BASKETBALL,
MACHINE LEARNING,
TEAM PLAY,
CLASSIFICATION
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2022 Zhang Ziyi, Kazuya Takeda, Keisuke Fujii, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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