Giles, B, Kovalchik, S & Reid, M. (2020). A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis. Journal of Sports Sciences, 38 (1), 106-113. Zugriff am 25.03.2020 unter https://doi.org/10.1080/02640414.2019.1684132
APA-Zitierstil (7. Ausg.)Giles, B., Kovalchik, S., & Reid, M. (2020). A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis. Journal of Sports Sciences, 38(1), 106-113.
Chicago-Zitierstil (17. Ausg.)Giles, B., S. Kovalchik, und M. Reid. "A Machine Learning Approach for Automatic Detection and Classification of Changes of Direction from Player Tracking Data in Professional Tennis." Journal of Sports Sciences 38, no. 1 (2020): 106-113.
MLA-Zitierstil (9. Ausg.)Giles, B., et al. "A Machine Learning Approach for Automatic Detection and Classification of Changes of Direction from Player Tracking Data in Professional Tennis." Journal of Sports Sciences, vol. 38, no. 1, 2020, pp. 106-113.