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Using machine learning pipeline to predict entry into the attack zone in football
Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. This paper addresses a performance prediction problem in soccer, a popular collective sport moda...
Autores principales: | Stival, Leandro, Pinto, Allan, de Andrade, Felipe dos Santos Pinto, Santiago, Paulo Roberto Pereira, Biermann, Henrik, Torres, Ricardo da Silva, Dias, Ulisses |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9847968/ https://www.ncbi.nlm.nih.gov/pubmed/36652409 http://dx.doi.org/10.1371/journal.pone.0265372 |
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