DVS Edition Citation

Casimiro-Artés, M. Á., Hileno, R & Garcia-de-Alcaraz, A. (2024). Applying unsupervised machine learning models to identify serve performance related indicators in women`s volleyball. Research Quarterly for Exercise and Sport, 95 (1), 47-53. Zugriff am 30.03.2024 unter https://doi.org/10.1080/02701367.2022.2142494

APA (7th ed.) Citation

Casimiro-Artés, M. Á., Hileno, R., & Garcia-de-Alcaraz, A. (2024). Applying unsupervised machine learning models to identify serve performance related indicators in women`s volleyball. Research Quarterly for Exercise and Sport, 95(1), 47-53.

Chicago Style (17th ed.) Citation

Casimiro-Artés, M. Á., R. Hileno, and A. Garcia-de-Alcaraz. "Applying Unsupervised Machine Learning Models to Identify Serve Performance Related Indicators in Women`s Volleyball." Research Quarterly for Exercise and Sport 95, no. 1 (2024): 47-53.

MLA (9th ed.) Citation

Casimiro-Artés, M. Á., et al. "Applying Unsupervised Machine Learning Models to Identify Serve Performance Related Indicators in Women`s Volleyball." Research Quarterly for Exercise and Sport, vol. 95, no. 1, 2024, pp. 47-53.