How can machine learning help optimize the return to play of experienced athletes?

Authors

Julien Frère (ORCID: https://orcid.org/0000-0002-4778-4514)
Clément Lipps
Thierry Weissland (ORCID: https://orcid.org/0000-0002-0140-2250)

Institutions

GIPSA-Lab (FR)
Laboratoire de l'Intégration du Matériau au Système (FR)
Institut Polytechnique de Bordeaux (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2024-10-02
Primary Topic: Sports Analytics and Performance
Type: article
Field-Weighted Citation Impact: 0.00

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article

How can machine learning help optimize the return to play of experienced athletes?

Julien Frère, Clément Lipps, Thierry Weissland

Oct 2, 2024

1 links

SPIRE - Sciences Po Institutional REpository

Sports Analytics and Performance

article

How can machine learning help optimize the return to play of experienced athletes?

Julien Frère, Clément Lipps, Thierry Weissland

October 2, 2024article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

GIPSA-Lab (FR), Laboratoire de l'Intégration du Matériau au Système (FR), Institut Polytechnique de Bordeaux (FR)

Openalex Percentile: Top 79%

Sports Analytics and Performance

OpenAlex

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How can machine learning help optimize the return to play of experienced athletes? — Julien Frère, Clément Lipps, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS