Predicting Tennis Serve Directions with Machine Learning-Reference-Cited by-同舟云学术

Predicting Tennis Serve Directions with Machine Learning

Published:2023 Issue: Volume: Page:89-100
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Zhu Ying,Naikar Ruthuparna

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-27527-2_7

Reference23 articles.

1. Anderson, A., Rosen, J., Rust, J., Wong, K.P.: Disequilibrium play in tennis. Working papers, Georgetown University (2021). http://ideas.repec.org/p/geo/guwopa/gueconwpa~21-21-07.html

2. Association of Tennis Professionals (ATP): ATP Stats. http://www.atptour.com/en/stats

3. Avilés, C., Navia, J.A., Ruiz, L.M.: Óscar Martínez de Quel: do expert tennis players actually demonstrate anticipatory behavior when returning a first serve under representative conditions? a systematic review including quality assessment and methodological recommendations. Psychol. Sport Exerc. 43, 16–26 (2019)

4. Gauriot, R., Page, L., Wooders, J.: Expertise, gender, and equilibrium play. Tech. rep., New York University Abu Dhabi, United Arab Emirates (2020). http://www.johnwooders.com/papers/Expertise, Gender, andEquilibrium.pdf

5. Hsu, S.H., Huang, C.Y., Tang, C.T.: Minimax play at Wimbledon: comment. Am. Econ. Rev. 97, 517–523 (2007)

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