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Daniel Memmert
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2020 – today
- 2025
- [j23]Henrik Biermann
, Daniel Memmert
Contextualization of soccer analysis with tactical periodization and machine learning. Data Min. Knowl. Discov. 39(3): 23 (2025) - [j22]Fabian Wunderlich, Henrik Biermann, Weiran Yang
Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting. Mach. Learn. 114(2): 48 (2025) - 2024
- [j21]David Brinkjans, Yannik Paul
The Success-Score in Professional Football: a metric of playing style or a metric of match outcome? Int. J. Comput. Sci. Sport 23(1): 54-79 (2024) - 2023
- [j20]Dominik Raabe
Graph representations for the analysis of multi-agent spatiotemporal sports data. Appl. Intell. 53(4): 3783-3803 (2023) - [j19]Justus Schlenger, Fabian Wunderlich
Systematic Analysis of Position-Data-based Key Performance Indicators. Int. J. Comput. Sci. Sport 22(1): 80-101 (2023) - [j18]David Brinkjans
Success-Score in Professional Soccer - Is there a sweet spot in the analysis of space and ball control? Int. J. Comput. Sci. Sport 22(2): 77-97 (2023) - [j17]Andrzej Bialecki
Determinants of victory in Esports - StarCraft II. Multim. Tools Appl. 82(7): 11099-11115 (2023) - 2022
- [j16]Rumena Komitova, Dominik Raabe
Time Series Data Mining for Sport Data: a Review. Int. J. Comput. Sci. Sport 21(2): 17-31 (2022) - [j15]David Brinkjans
Success-Score in Professional Soccer - Validation of a Dynamic Key Performance Indicator Combining Space Control and Ball Control within Goalscoring Opportunities. Int. J. Comput. Sci. Sport 21(2): 32-42 (2022) - [j14]Marc Garnica Caparrós
Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports. Inf. Syst. E Bus. Manag. 20(3): 551-580 (2022) - [j13]Dominik Raabe
floodlight - A high-level, data-driven sports analytics framework. J. Open Source Softw. 7(77): 4588 (2022) - [j12]Fabian Wunderlich
A big data analysis of Twitter data during premier league matches: do tweets contain information valuable for in-play forecasting of goals in football? Soc. Netw. Anal. Min. 12(1): 23 (2022) - [j11]Marc Garnica Caparrós
The effects of scheduling network models in predictive processes in sports. Soc. Netw. Anal. Min. 12(1): 143 (2022) - [c3]Henrik Biermann
Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks. MLSA@PKDD/ECML 2022: 3-13 - [c2]Jonas Theiner, Wolfgang Gritz, Eric Müller-Budack
Extraction of Positional Player Data from Broadcast Soccer Videos. WACV 2022: 1463-1473 - [i3]Dominik Raabe
floodlight - A high-level, data-driven sports analytics framework. CoRR abs/2206.02562 (2022) - 2021
- [j10]Jürgen Perl, Jonas Imkamp, Daniel Memmert:
Strictness vs. flexibility: Simulation-based recognition of strategies and its success in soccer. Int. J. Comput. Sci. Sport 20(1): 43-54 (2021) - [c1]Henrik Biermann, Jonas Theiner, Manuel Bassek, Dominik Raabe
A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games. MMSports@MM 2021: 1-10 - [i2]Henrik Biermann, Jonas Theiner, Manuel Bassek, Dominik Raabe, Daniel Memmert, Ralph Ewerth:
A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games. CoRR abs/2108.11149 (2021) - [i1]Jonas Theiner, Wolfgang Gritz, Eric Müller-Budack, Robert Rein, Daniel Memmert, Ralph Ewerth:
Extraction of Positional Player Data from Broadcast Soccer Videos. CoRR abs/2110.11107 (2021)
2010 – 2019
- 2018
- [j9]Stephanie Hüttermann, Benjamin Noël
Eye tracking in high-performance sports: Evaluation of its application in expert athletes. Int. J. Comput. Sci. Sport 17(2): 182-203 (2018) - 2017
- [j8]Jürgen Perl, Daniel Memmert:
A Pilot Study on Offensive Success in Soccer Based on Space and Ball Control ? Key Performance Indicators and Key to Understand Game Dynamics. Int. J. Comput. Sci. Sport 16(1) (2017) - 2016
- [j7]Konstantin Knauf, Daniel Memmert, Ulf Brefeld:
Spatio-temporal convolution kernels. Mach. Learn. 102(2): 247-273 (2016) - 2013
- [j6]Philip Furley
Perceptual load in sport and the heuristic value of the perceptual load paradigm in examining expertise-related perceptual-cognitive adaptations. Cogn. Process. 14(1): 31-42 (2013) - [j5]Jürgen Perl, Andreas Grunz, Daniel Memmert:
Tactics Analysis in Soccer - An Advanced Approach. Int. J. Comput. Sci. Sport 12(1) (2013) - 2010
- [j4]Jürgen Perl, Daniel Memmert:
Net-Based Game Analysis by Means of the Software Tool SOCCER. Int. J. Comput. Sci. Sport 10(2) (2010) - [p1]Daniel Memmert:
Weltstandsanalyse im Spitzen-Fußball - Analyse und Simulation von fußballspezifischen Gruppentaktiken mit Hilfe adaptiyer Neuronaler Netze. Sportinformatik gestern, heute, morgen 2010: 113-122
2000 – 2009
- 2009
- [j3]Andreas Grunz, Daniel Memmert, Jürgen Perl:
Analysis and Simulation of Actions in Games by Means of Special Self-Organizing Maps. Int. J. Comput. Sci. Sport 8(1) (2009) - 2006
- [j2]Jürgen Perl, Daniel Memmert, Julian Bischof, Christian Gerharz:
On a First Attempt to Modelling Creativity Learning by Means of Artificial Neural Networks. Int. J. Comput. Sci. Sport 5(2) (2006) - 2005
- [j1]Daniel Memmert, Jürgen Perl:
Game Intelligence Analysis by Means of a Combination of Variance-Analysis and Neural Networks. Int. J. Comput. Sci. Sport 4(1) (2005)
Coauthor Index
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