Müller, O, Caron, M, Döring, M, Heuwinkel, T & Baumeister, J. (2022). PIVOT: A parsimonious end-to-end learning framework for valuing player actions in handball using tracking data. In U. Brefeld, J. Davis, J. Van Haaren & A. Zimmermann (Hrsg.), Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science (Communications in Computer and Information Science, 1571, S. 116-128). Cham: Springer.
APA-Zitierstil (7. Ausg.)Müller, O., Caron, M., Döring, M., Heuwinkel, T., & Baumeister, J. (2022). PIVOT: A parsimonious end-to-end learning framework for valuing player actions in handball using tracking data. Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science, 116-128.
Chicago-Zitierstil (17. Ausg.)Müller, O., M. Caron, M. Döring, T. Heuwinkel, und J. Baumeister. "PIVOT: A Parsimonious End-to-end Learning Framework for Valuing Player Actions in Handball Using Tracking Data." Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science 2022: 116-128.
MLA-Zitierstil (9. Ausg.)Müller, O., et al. "PIVOT: A Parsimonious End-to-end Learning Framework for Valuing Player Actions in Handball Using Tracking Data." Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science, 2022, pp. 116-128.