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-Zitierstil (7. Ausg.)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-Zitierstil (17. Ausg.)Stival, L., A. Pinto, F. dos Santos Pinto de Andrade, P. R. Pereira Santiago, H. Biermann, R. da Silva Torres, und U. Dias. "Using Machine Learning Pipeline to Predict Entry into the Attack Zone in Football." PLOS ONE 18, no. 1 (2023): e0265372.
MLA-Zitierstil (9. Ausg.)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.