Masterclass
Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives
Felipe J.J. Reisa,b,c,
, Rafael Krasic Alaitid,e, Caio Sain Valliof, Luiz Hespanholg,h
Autor para correspondência
felipe.reis@ifrj.edu.br
Corresponding author at: Federal Institute of Rio de Janeiro, Campus Realengo - Rua Carlos Wenceslau, 343, Realengo. CEP 21715-000, Rio de Janeiro, RJ, Brazil. Physical Therapy Department - Federal Institute of Education, Science and Technology Rio de Janeiro- IFRJ, Rio de Janeiro, Brazil.
Corresponding author at: Federal Institute of Rio de Janeiro, Campus Realengo - Rua Carlos Wenceslau, 343, Realengo. CEP 21715-000, Rio de Janeiro, RJ, Brazil. Physical Therapy Department - Federal Institute of Education, Science and Technology Rio de Janeiro- IFRJ, Rio de Janeiro, Brazil.
a Department of Physical Therapy, Federal Institute of Rio de Janeiro, Rio de Janeiro, Brazil
b Pain in Motion Research Group, Department of Physical Therapy, Human Physiology and Anatomy, Faculty of Physical Education & Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
c School of Physical and Occupational Therapy, McGill University, Montreal, Canada
d Nucleus of Neuroscience and Behavior and Nucleus of Applied Neuroscience, Universidade de Sao Paulo (USP), Sao Paulo, Brazil
e Research, Technology, and Data Science Office, Grupo Superador, Sao Paulo, Brazil
f Health Innovation, Data Science, and MLOps Semantics, São Paulo, Brazil
g Department of Physical Therapy, Faculty of Medicine, University of Sao Paulo (USP), Sao Paulo, Brazil
h Amsterdam Collaboration on Health & Safety in Sports, Department of Public and Occupational Health, Amsterdam Movement Sciences, Amsterdam University Medical Centers (UMC) location VU University Medical Center Amsterdam (VUmc), Amsterdam, the Netherlands
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