Publisher
Springer Berlin Heidelberg
Reference23 articles.
1. Biermann, H., Komitova, R., Raabe, D., Müller-Budack, E., Ewerth, R., & Memmert, D. (2023). Synchronization of passes in event and spatiotemporal soccer data. Scientific Reports, 13(1), 15878.
2. Garnica-Caparros, M., & Memmert, D. (2021). Understanding gender differences in professional European football through Machine Learning interpretability and match actions data. Scientific Reports, 1(1), 1–14.
3. Guerrero-Calderón, B., Klemp, M., Morcillo, J. A., & Memmert, D. (2021). How does the workload applied during the training week and the contextual factors affect the physical responses of professional soccer players in the match? International Journal of Sports Science & Coaching, 16, 994–1003.
4. Hassan, A., Schrapf, N., & Tilp, M. (2017). The prediction of action positions in team handball by non-linear hybrid neural networks. International Journal of Performance Analysis in Sport, 17, 293–302.
5. Kempe, M., Grunz, A., & Memmert, D. (2015). Detecting tactical patterns in basketball: Comparison of merge self-organising maps and dynamic controlled neural networks. European Journal of Sport Science, 15, 249–255.