Comparison of Individualized and Group-Based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players

Iwen Diouron, Sébastien Harispe, Abdelhak Imoussaten, Massiwa Chabbi, Maëlia Duhart, Antoine Joffroy, Lucas Texier, Guilhem Escudier, Gérard Dray, Stéphane Perrey

Open source

DOI
10.1109/hsi61632.2024.10613526
Published
2024-07-08
Container
2024 16th International Conference on Human System Interaction (HSI)
Publisher
IEEE
Open access
unknown

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BibTeX

@article{allodium:10.1109/hsi61632.2024.10613526,
  title = {Comparison of Individualized and Group-Based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players},
  author = {Iwen Diouron and Sébastien Harispe and Abdelhak Imoussaten and Massiwa Chabbi and Maëlia Duhart and Antoine Joffroy and Lucas Texier and Guilhem Escudier and Gérard Dray and Stéphane Perrey},
  year = {2024},
  journal = {2024 16th International Conference on Human System Interaction (HSI)},
  doi = {10.1109/hsi61632.2024.10613526},
  url = {https://doi.org/10.1109/hsi61632.2024.10613526}
}

RIS

TY  - JOUR
TI  - Comparison of Individualized and Group-Based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players
AU  - Iwen Diouron
AU  - Sébastien Harispe
AU  - Abdelhak Imoussaten
AU  - Massiwa Chabbi
AU  - Maëlia Duhart
AU  - Antoine Joffroy
AU  - Lucas Texier
AU  - Guilhem Escudier
AU  - Gérard Dray
AU  - Stéphane Perrey
PY  - 2024
JO  - 2024 16th International Conference on Human System Interaction (HSI)
DO  - 10.1109/hsi61632.2024.10613526
UR  - https://doi.org/10.1109/hsi61632.2024.10613526
ER  - 

APA

Diouron, I., Harispe, S., Imoussaten, A., Chabbi, M., Duhart, M., Joffroy, A., Texier, L., Escudier, G., Dray, G., & Perrey, S. (2024). Comparison of Individualized and Group-Based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players. 2024 16th International Conference on Human System Interaction (HSI). https://doi.org/10.1109/hsi61632.2024.10613526

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