Biermann, H, Wieland, F. G., Timmer, J, Memmert, D & Phatak, A. (2022). Towards expected counter - using comprehensible features to predict counterattacks. 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. 3-13). Cham: Springer.
APA-Zitierstil (7. Ausg.)Biermann, H., Wieland, F. G., Timmer, J., Memmert, D., & Phatak, A. (2022). Towards expected counter - using comprehensible features to predict counterattacks. Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science, 3-13.
Chicago-Zitierstil (17. Ausg.)Biermann, H., F. G. Wieland, J. Timmer, D. Memmert, und A. Phatak. "Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks." Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science 2022: 3-13.
MLA-Zitierstil (9. Ausg.)Biermann, H., et al. "Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks." Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science, 2022, pp. 3-13.