A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games. - Henrik Biermann; Jonas Theiner; Manuel Bassek; Dominik Raabe; Daniel Memmert; Ralph Ewerth (MMSports@MM, 2021)

floodlight - A high-level, data-driven sports analytics framework. - Dominik Raabe; Henrik Biermann; Manuel Bassek; Martin Wohlan; Rumena Komitova; Robert Rein; Tobias Kuppens Groot; Daniel Memmert (J. Open Source Softw., 2022)

Time Series Data Mining for Sport Data: a Review. - Rumena Komitova; Dominik Raabe; Robert Rein; Daniel Memmert (Int. J. Comput. Sci. Sport, 2022)

Graph representations for the analysis of multi-agent spatiotemporal sports data. - Dominik Raabe; Reinhard Nabben; Daniel Memmert (Appl. Intell., 2023)

Systematic Analysis of Position-Data-based Key Performance Indicators. - Justus Schlenger; Fabian Wunderlich; Dominik Raabe; Daniel Memmert (Int. J. Comput. Sci. Sport, 2023)

Contextualization of soccer analysis with tactical periodization and machine learning. - Henrik Biermann; Daniel Memmert; Niklas Petersen; Dominik Raabe (Data Min. Knowl. Discov., 2025)

Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting. - Fabian Wunderlich; Henrik Biermann; Weiran Yang; Manuel Bassek; Dominik Raabe; Nico Elbert; Daniel Memmert; Marc Garnica Caparrós (Mach. Learn., 2025)