Prof. Dr. Ulf Brefeld
Vita
I am a professor for Machine Learning at Leuphana Universität Lüneburg. Prior to joining Leuphana, I was a joint professor for Knowledge Mining & Assessment at TU Darmstadt and the German Institute for Educational Research (DIPF), Frankfurt am Main. Before, I led the Recommender Systems group at Zalando SE and worked on machine learning at Universität Bonn, Yahoo! Research Barcelona, Technische Universität Berlin, Max Planck Institute for Computer Science in Saarbrücken, and at Humboldt-Universität zu Berlin. I received a Diploma in Computer Science in 2003 from Technische Universität Berlin and a Ph.D. (Dr. rer. nat.) in 2008 from Humboldt-Universität zu Berlin. I am interested in statistical machine learning and data mining. ML3 homepage
Projects
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Adaptive Learning for Economic Education
Ulf Brefeld (Project manager, academic) , Kai Neubauer (Project manager, academic)
→Project: Research
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Verbundprojekt: Anonymisierung und Synthese von Clickpfaden und Verhalten im Web
Ulf Brefeld (Project manager, academic) , Moritz Hauke Wohlstein (Project staff)
→Project: Research
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Information Technology and Education in Support of Digital Citizenship
Valéria Quadros dos Reis (Project manager, academic) , Ulf Brefeld (Project manager, academic)
→Project: Research
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Memory Path
Ulf Brefeld (Project manager, academic)
→Project: Other
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Adaptive Learning in Economic Education
Ulf Brefeld (Project manager, academic) , Kai Neubauer (Project staff)
→Project: Research
Publications
Books and anthologies
- Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers
Ulf Brefeld (Editor) , Jesse Davis (Editor) , Jan Van Haaren (Editor) , Albrecht Zimmermann (Editor) , 2025 Cham , 119 p.Research output: Books and anthologies › Conference proceedings › Research
- Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
Ulf Brefeld (Editor) , Elisa Fromont (Editor) , Andreas Hotho (Editor) , Arno Knobbe (Editor) , Marloes Maathuis (Editor) , Céline Robardet (Editor) , 2020 Cham , 766 p.Research output: Books and anthologies › Conference proceedings › Research
- Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Ulf Brefeld (Editor) , Elisa Fromont (Editor) , Andreas Hotho (Editor) , Arno Knobbe (Editor) , Marloes Maathuis (Editor) , Céline Robardet (Editor) , 2020 Cham , 732 p.Research output: Books and anthologies › Conference proceedings › Research
- Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III
Ulf Brefeld (Editor) , Elisa Fromont (Editor) , Andreas Hotho (Editor) , Arno Knobbe (Editor) , Marloes Maathuis (Editor) , Céline Robardet (Editor) , 2020 Cham , 804 p.Research output: Books and anthologies › Conference proceedings › Research
- Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Ulf Brefeld (Editor) , Jesse Davis (Editor) , Jan van Haaren (Editor) , Albrecht Zimmermann (Editor) , 2020 Cham , 146 p.Research output: Books and anthologies › Conference proceedings › Research
Journal contributions
- The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions
Jennifer Matthiesen (Author) , Ulf Brefeld (Author) , Burkhardt Funk (Author) , Kirsten Zantvoort (Author) , Pontus Bjurner (Author) , Marie Bendix (Author) , Viktor Kaldo (Author) , 01.06.2025 , in: Internet Interventions, 40 , 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Masked autoencoder for multiagent trajectories
Yannick Rudolph (Author) , Ulf Brefeld (Author) , 01.02.2025 , in: Machine Learning, 114, 2 , 18 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Interactive sequential generative models for team sports
Dennis Faßmeyer (Author) , Ulf Brefeld (Author) , Moritz Cordes (Author) , 01.02.2025 , in: Machine Learning, 114, 2 , 15 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Toward Learning Distributions of Distributions
Moritz Hauke Wohlstein (Author) , Ulf Brefeld (Author) , 01.01.2025 , in: Proceedings of Machine Learning Research, 265 , p. 269-275 , 7 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Contextual movement models based on normalizing flows
Samuel Gomes Fadel (Author) , Sebastian Mair (Author) , Ulf Brefeld (Author) , Ricardo da Silva Torres (Author) , 01.03.2023 , in: AStA Advances in Statistical Analysis, 107, 1-2 , p. 51-72 , 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
Contributions to collected editions/anthologies
- Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Yannick Rudolph (Author) , Ulf Brefeld (Author) , 26.02.2024 Cham , p. 24-35 , 12 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
- Hands in Focus: Sign Language Recognition Via Top-Down Attention
Ulf Brefeld (Author) , Noha Sarhan (Author) , Christian Wilms (Author) , Vanessa Closius (Author) , Simone Frintrop (Author) , 08.10.2023 Piscataway , p. 2555-2559 , 5 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
- Exploring the Poincaré Ellipsis
Samuel Gomes Fadel (Author) , Tino Paulsen (Author) , Ulf Brefeld (Author) , 01.09.2023Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
- User Authentication via Multifaceted Mouse Movements and Outlier Exposure
Jennifer Matthiesen (Author) , Ulf Brefeld (Author) , Hanne Hastedt (Author) , 01.04.2023 Cham , p. 300-313 , 14 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research
- Convolutional Neural Networks
Yannick Rudolph (Author) , Ulf Brefeld (Author) , 01.01.2023 Berlin , p. 207-215 , 9 p.Research output: Contributions to collected editions/anthologies › Chapter › Research
Activities
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Self-improvement for Computerized Adaptive Testing
Yannick Rudolph (Speaker) , Kai Neubauer (Speaker) , Ulf Brefeld (Coauthor)
Activity: Conference Presentations › Research
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Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Yannick Rudolph (Speaker) , Ulf Brefeld (Coauthor)
Activity: talk or presentation in privat or public events › Research
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Data-efficient Pattern Detection in Elite Soccer
Yannick Rudolph (Speaker) , Dennis Faßmeyer (Coauthor) , Ulf Brefeld (Coauthor)
Activity: Conference Presentations › Research
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Modeling Conditional Dependencies in Multiagent Trajectories
Yannick Rudolph (Speaker) , Ulf Brefeld (Coauthor)
Activity: Presentations (poster etc.) › Research
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Detection of tactical patterns using semi-supervised graph neural networks
Gabriel Anzer (Speaker) , Pascal Bauer (Speaker) , Ulf Brefeld (Speaker) , Dennis Faßmeyer (Speaker)
Activity: Conference Presentations › Research
Press / Media
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Data Science: Lern- und Ausbildungsinhalte
1 Media contributionPress/Media: Press/Media