Personal profile
Curriculum
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
Transfer of scientific knowledge
Aktivitäten
- Frontiers in Big Data: Machine Learning and Artificial Intelligence
- Machine Learning Journal, Guest Editorial Board, ECML PKDD 2017 Journal Track
- Technology, Knowledge and Learning, Review Board Member, seit 2016
- Machine Learning Journal, Action Editor, seit 2015
- Machine Learning Journal, Guest Editorial Board, Proceedings Track ECML (Special Issue), 2013
- Machine Learning Journal, seit 2011
- Natural Language Engineering (Guest Editorial Board, Special Issue on Statistical Learning of Natural Language Structured Input and Output), 2011
Mitgliedschaften in Programmkommittees (Auswahl):
- AAAI Conference on Artificial Intelligence (AAAI)
- International Conference on Artificial Intelligence and Statistics (AISTATS)
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)
- International Conference on Machine Learning (ICML)
- International Joint Conferences on Artificial Intelligence (IJCAI)
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Mining and Learning with Graphs (MLG)
- Neural Information Processing Systems (NIPS)
- International Conference on Web Search and Data Mining (WSDM)
Gutachtertätigkeiten (Auswahl):
- ACM Transactions on the Web
- Annals of Mathematics and Artificial Intelligence
- Artificial Intelligence
- Computational Statistics and Data Analysis
- Data and Knowledge Engineering
- Data Mining and Knowledge Discovery
- IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Multimedia
- IEEE Transactions on Pattern Analysis and Machine Intelligence Intelligent Data Analysis
- Journal of AI Research
- Journal of Machine Learning Research
- Knowledge and Information Systems
- Machine Learning
- Natural Language Engineering
- Neural Computation
- Neurocomputing
- Pattern Recognition
- Technology, Knowledge and Learning
- Transactions on Knowledge and Data Engineering
Education/Academic qualification
Computer Science, Semi-supervised Structured Prediction Models, Humboldt-Universität zu Berlin
Award Date: 15.01.2008
Computer Science, Cost-sensitive learning with DIPOL and Support Vector Machines, Technische Universität Berlin
Award Date: 01.02.2003
Keywords
- Informatics
- Business informatics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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Research collaborations from the last five years
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ALEE II: Adaptive Learning for Economic Education
Brefeld, U. (Project manager, academic) & Neubauer, K. (Project manager, academic)
01.01.25 → 31.05.28
Project: Research
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SynthiClick: Verbundprojekt: Anonymisierung und Synthese von Clickpfaden und Verhalten im Web
Brefeld, U. (Project manager, academic) & Wohlstein, M. H. (Project staff)
15.12.22 → 14.12.25
Project: Research
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T&E: Information Technology and Education in Support of Digital Citizenship
Quadros dos Reis, V. (Project manager, academic) & Brefeld, U. (Project manager, academic)
01.10.21 → 01.05.24
Project: Research
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Memory Path
Brefeld, U. (Project manager, academic)
German Academic Exchange Service
01.04.21 → 31.07.21
Project: Other
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ALEE: Adaptive Learning in Economic Education
Brefeld, U. (Project manager, academic) & Neubauer, K. (Project staff)
01.03.21 → 30.04.25
Project: Research
Research output
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Principled Transformers for Predictive Performance in Knowledge Tracing
Neubauer, K., Rudolph, Y. & Brefeld, U., 2026, In: Journal of Educational Data Mining. 18, 1, p. 89-112 24 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Self-improvement for Computerized Adaptive Testing
Rudolph, Y., Neubauer, K. & Brefeld, U., 2026, Machine Learning and Knowledge Discovery in Databases - Research Track: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part II. Ribeiro, R. P., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M., Soares, C., Abreu, P. H. & Gama, J. (eds.). Cham: Springer International Publishing, Vol. 2. p. 70-86 17 p. (Lecture Notes in Computer Science; vol. 16014 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Interactive sequential generative models for team sports
Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.Research output: Journal contributions › Journal articles › Research › peer-review
Open Access2 Citations (Scopus) -
Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items
Bengs, D., Brefeld, U., Kroehne, U. & Zehner, F., 01.09.2025, In: Psychometrika. 90, 4, p. 1346-1367 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
Open Access -
Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers
Brefeld, U. (Editor), Davis, J. (Editor), Van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2025, Cham: Springer Verlag. 119 p. (Communications in Computer and Information Science; vol. 2460)Research output: Books and anthologies › Conference proceedings › Research
Activities
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Self-improvement for Computerized Adaptive Testing
Rudolph, Y. (Speaker), Neubauer, K. (Speaker) & Brefeld, U. (Coauthor)
16.09.2025Activity: Talk or presentation › Conference Presentations › Research
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PODIUMSDISKUSSION: Lehramtsstudium und/oder Künstliche Intelligenz? Ethische Herausforderungen in Bildung durch Technik.
Mah, D.-K. (Speaker), Brefeld, U. (Speaker), Broy, W. (Speaker) & Kück, T. J. (Moderator)
13.06.2024Activity: Participating in or organising an academic or articstic event › External workshops, courses, seminars › Transfer
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Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Rudolph, Y. (Speaker) & Brefeld, U. (Coauthor)
18.09.2023Activity: Talk or presentation › talk or presentation in privat or public events › Research
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Data-efficient Pattern Detection in Elite Soccer
Rudolph, Y. (Speaker), Faßmeyer, D. (Coauthor) & Brefeld, U. (Coauthor)
26.05.2023Activity: Talk or presentation › Conference Presentations › Research
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Modeling Conditional Dependencies in Multiagent Trajectories
Rudolph, Y. (Speaker) & Brefeld, U. (Coauthor)
28.03.2022Activity: Talk or presentation › Presentations (poster etc.) › Research
Press/Media
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Data Science: Lern- und Ausbildungsinhalte
Abedjan, Z., Brefeld, U., Bürkle, J., Desel, J., Edlich, S., Eppler, T., Goedicke, M., Heidrich, J., Kast, S. M., Krupka, D., Lang, K., Liggesmeyer, P. & Tropmann-Frick, M.
31.12.19
1 item of Media coverage
Press/Media