DVS Edition Citation

Stival, L, Pinto, A, dos Santos Pinto de Andrade, F., Pereira Santiago, P. R., Biermann, H, da Silva Torres, R. & Dias, U. (2023). Using machine learning pipeline to predict entry into the attack zone in football. PLOS ONE, 18 (1), e0265372. Zugriff am 22.04.2023 unter https://doi.org/10.1371/journal.pone.0265372

APA (7th ed.) Citation

Stival, L., Pinto, A., dos Santos Pinto de Andrade, F., Pereira Santiago, P. R., Biermann, H., da Silva Torres, R., & Dias, U. (2023). Using machine learning pipeline to predict entry into the attack zone in football. PLOS ONE, 18(1), e0265372.

Chicago Style (17th ed.) Citation

Stival, L., A. Pinto, F. dos Santos Pinto de Andrade, P. R. Pereira Santiago, H. Biermann, R. da Silva Torres, and U. Dias. "Using Machine Learning Pipeline to Predict Entry into the Attack Zone in Football." PLOS ONE 18, no. 1 (2023): e0265372.

MLA (9th ed.) Citation

Stival, L., et al. "Using Machine Learning Pipeline to Predict Entry into the Attack Zone in Football." PLOS ONE, vol. 18, no. 1, 2023, p. e0265372.