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Fernando Vives, Javier Lázaro, José Francisco Guzmán, Rafael Martínez-Gallego and Miguel Crespo
This study used a novel machine learning approach to uncover key serve variables that maximize effectiveness in men?s professional doubles tennis. A large dataset of 14,146 serves from 97 Davis Cup doubles matches played between 2010 and 2019 was analyze...
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Hong-Seok Seo, Yang-Gyoo Jung, Sang-Won Jee, Jun Mo Yang and Jung-H
Pág. 968 - 971
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Yoo, C.-S.; Lee, J.-K.; Kim, D.; Park, S.-D.; Won, K.-H.; Kang, N.-K.; Seo, K.-S.; Lee, W.-S.
Pág. 906 - 915
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David Jégou, Dae-Won Kim, Pierre Baptiste and Kwang H. Lee
Pág. 156 - 167
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Huang, H. Won, I. J.
Pág. 640 - 651
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Huang, H. Won, I. J.
Pág. 652 - 663
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Chung, J.-H. Ko, S.-Y. Kwon, D.-S. Lee, J.-J. Yoon, Y.-S. Won, C.-H.
Pág. 885 - 892
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