Game Intelligence Analysis by Means of a Combination of Variance-Analysis and Neural Networks. - Daniel Memmert; Jürgen Perl (Int. J. Comput. Sci. Sport, 2005)

On a First Attempt to Modelling Creativity Learning by Means of Artificial Neural Networks. - Jürgen Perl; Daniel Memmert; Julian Bischof; Christian Gerharz (Int. J. Comput. Sci. Sport, 2006)

Analysis and Simulation of Actions in Games by Means of Special Self-Organizing Maps. - Andreas Grunz; Daniel Memmert; Jürgen Perl (Int. J. Comput. Sci. Sport, 2009)

Weltstandsanalyse im Spitzen-Fußball - Analyse und Simulation von fußballspezifischen Gruppentaktiken mit Hilfe adaptiyer Neuronaler Netze. - Daniel Memmert (Sportinformatik gestern, heute, morgen, 2010)

Net-Based Game Analysis by Means of the Software Tool SOCCER. - Jürgen Perl; Daniel Memmert (Int. J. Comput. Sci. Sport, 2010)

Perceptual load in sport and the heuristic value of the perceptual load paradigm in examining expertise-related perceptual-cognitive adaptations. - Philip Furley; Daniel Memmert; Simone Schmid (Cogn. Process., 2013)

Tactics Analysis in Soccer - An Advanced Approach. - Jürgen Perl; Andreas Grunz; Daniel Memmert (Int. J. Comput. Sci. Sport, 2013)

Spatio-temporal convolution kernels. - Konstantin Knauf; Daniel Memmert; Ulf Brefeld (Mach. Learn., 2016)

A Pilot Study on Offensive Success in Soccer Based on Space and Ball Control ? Key Performance Indicators and Key to Understand Game Dynamics. - Jürgen Perl; Daniel Memmert (Int. J. Comput. Sci. Sport, 2017)

Eye tracking in high-performance sports: Evaluation of its application in expert athletes. - Stephanie Hüttermann; Benjamin Noël; Daniel Memmert (Int. J. Comput. Sci. Sport, 2018)

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)

Strictness vs. flexibility: Simulation-based recognition of strategies and its success in soccer. - Jürgen Perl; Jonas Imkamp; Daniel Memmert (Int. J. Comput. Sci. Sport, 2021)

Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks. - Henrik Biermann; Franz-Georg Wieland; Jens Timmer; Daniel Memmert; Ashwin Phatak (MLSA@PKDD/ECML, 2022)

Extraction of Positional Player Data from Broadcast Soccer Videos. - Jonas Theiner; Wolfgang Gritz; Eric Müller-Budack; Robert Rein; Daniel Memmert; Ralph Ewerth (WACV, 2022)

Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports. - Marc Garnica Caparrós; Daniel Memmert; Fabian Wunderlich (Inf. Syst. E Bus. Manag., 2022)

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)

The effects of scheduling network models in predictive processes in sports. - Marc Garnica Caparrós; Daniel Memmert; Fabian Wunderlich (Soc. Netw. Anal. Min., 2022)

A big data analysis of Twitter data during premier league matches: do tweets contain information valuable for in-play forecasting of goals in football? - Fabian Wunderlich; Daniel Memmert (Soc. Netw. Anal. Min., 2022)

Success-Score in Professional Soccer - Validation of a Dynamic Key Performance Indicator Combining Space Control and Ball Control within Goalscoring Opportunities. - David Brinkjans; Daniel Memmert; Jonas Imkamp; Jürgen Perl (Int. J. Comput. Sci. Sport, 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)

Determinants of victory in Esports - StarCraft II. - Andrzej Bialecki; Jan Gajewski; Piotr Bialecki; Ashwin Phatak; Daniel Memmert (Multim. Tools Appl., 2023)

Success-Score in Professional Soccer - Is there a sweet spot in the analysis of space and ball control? - David Brinkjans; Daniel Memmert; Yannik Paul; Jürgen Perl (Int. J. Comput. Sci. Sport, 2023)

The Success-Score in Professional Football: a metric of playing style or a metric of match outcome? - David Brinkjans; Yannik Paul; Jürgen Perl; Daniel Memmert (Int. J. Comput. Sci. Sport, 2024)

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)