Publikationen

  1. Biermann, H., Yang, W., Wieland, F. G., Timmer, J., & Memmert, D. (2024). Quantification of Turnover Danger with xCounter. In: Brefeld, U., Davis, J., Van Haaren, J., Zimmermann, A. (eds) Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science, vol 1784. Springer, Cham.

  2. Raabe, D., Nabben, R., & Memmert, D. (2023). Graph representations for the analysis of multi-agent spatiotemporal sports data. Applied Intelligence, 53(4), 3783-3803.

  3. Wunderlich, F., Biermann, H., Yang, W., Bassek, M., Raabe, D., Elbert, N., … & Garnica Caparrós, M. (2025). Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting. Machine Learning, 114(2), 1-28.

  4. Garnica Caparrós, M., Memmert, D., & Wunderlich, F. (2022). The effects of scheduling network models in predictive processes in sports. Social Network Analysis and Mining, 12(1), 143.

  5. Garnica-Caparrós, M., Memmert, D., & Wunderlich, F. (2022). Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports. Information Systems and e-Business Management, 20(3), 551-580.

  6. Wunderlich, F. & Memmert, D. (2019). Are betting returns a useful measure of accuracy in (sports) forecasting?” International Journal of Forecasting, 36, 713-722.

  7. Theiner, J., Gritz, W., Müller-Budack, E., Rein, R., Memmert, D., & Ewerth, R. (2022). Extraction of Positional Player Data from Broadcast Soccer Videos. In Proceedings of the IEEE/CVF winter conference on applications of computer vision.

  8. Memmert, D., Lemmink, K. A. P. M., & Sampaio, J. (2017). Current Approaches to Tactical Performance Analyses in Soccer using Position Data. Sports Medicine, 47(1), 1-10. https://doi.org/10.1007/s40279-016-0562-5.

  9. Brefeld, U., Knauf, K., & Memmert, D. (2016). Spatio-Temporal Convolution Kernels. Machine Learning, 102(2), 247-273. DOI: 10.1007/s10994-015-5520-1

  10. Low, B., Coutinho, D., Gonçalves, B., Rein, R., Memmert, D., & Sampaio, J. (2020). A systematic review of collective tactical behaviours in football using positional data. Sports Medicine,50, 343-385.