DVS Edition Citation

Rahimian, P, da Silva Guerra Gomes, D. G., Berkovics, F & Toka, L. (2022). Let's penetrate the defense: A machine learning model for prediction and valuation of penetrative passes. In U. Brefeld, J. Davis, J. Van Haaren & A. Zimmermann (Hrsg.), Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (Communications in Computer and Information Science, 1783, S. 41-52). Cham: Springer.

APA (7th ed.) Citation

Rahimian, P., da Silva Guerra Gomes, D. G., Berkovics, F., & Toka, L. (2022). Let's penetrate the defense: A machine learning model for prediction and valuation of penetrative passes. Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science, 41-52.

Chicago Style (17th ed.) Citation

Rahimian, P., D. G. da Silva Guerra Gomes, F. Berkovics, and L. Toka. "Let's Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes." Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science 2022: 41-52.

MLA (9th ed.) Citation

Rahimian, P., et al. "Let's Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes." Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science, 2022, pp. 41-52.