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Professorship for Information Systems, in particular Machine Learning

Organisational unit: Professoship

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Main research areas

Research

We are interested in statistical machine learning with a focus on spatiotemporal problems, such as user navigation on the web, adaptive testing and adaptive learning environments, and the coordination of football players on the pitch. While we mainly focus on basic research, we also collaborate with selected partners in academia, sports and industry in different projects.

Teaching

Our teaching focuses on introductory/advanced machine learning and data mining as well as basic statistics. We regularly offer courses in the Management & Data Science Master and the Information Systems Bachelor programs. Exemplary courses comprise Deep Learning (Data Science), Statistics (Information Systems), and Machine Learning & Data Mining (Engineering).

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  1. Published

    Action rate models for predicting actions in soccer

    Dick, U. & Brefeld, U., 02.03.2022, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 29-49 21 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  2. Published

    Adaptive Item Selection Under Matroid Constraints

    Bengs, D., Brefeld, U. & Kröhne, U., 07.08.2018, In: Journal of Computerized Adaptive Testing. 6, 2, p. 15-36 22 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. Published

    Analysing Positional Data

    Brefeld, U., Mair, S. & Lasek, J., 01.10.2020, Science Meets Sports: When Statistics Are More Than Numbers. Ley, C. & Dominicy, Y. (eds.). Newcastle upon Tyne: Cambridge Scholars Publishing, p. 81-94 13 p. (Physical Sciences).

    Research output: Contributions to collected editions/works › Chapter › peer-review

  4. Published

    Assessing User Behavior by Mouse Movements

    Matthiesen, J. J. & Brefeld, U., 2020, HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings. Stephanidis, C. & Antona, M. (eds.). Cham: Springer, p. 68-75 8 p. (Communications in Computer and Information Science; vol. 1224 CCIS).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  5. Published

    A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations

    Tavakol, M. & Brefeld, U., 30.12.2017, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017 Skopje, Macedonia, September 18 – 22, 2017; Proceedings, Part II. Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Dzeroski, S. (eds.). Springer, Vol. 2. p. 269-284 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10535 LNAI).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  6. Published

    Constrained Independence for Detecting Interesting Patterns

    Delacroix, T., Boubekki, A., Lenca, P. & Lallich, S., 02.12.2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Pasi, G., Kwok, J., Zaiane, O., Gallinari, P., Gaussier, E. & Cao, L. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., 10 p. 7344897. (Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  7. Published

    Contextual movement models based on normalizing flows

    Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 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

  8. Published

    Convolutional Neural Networks

    Rudolph, Y. & Brefeld, U., 01.01.2023, Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten. Memmert, D. (ed.). Berlin: Springer Spektrum, p. 207-215 9 p.

    Research output: Contributions to collected editions/works › Chapter

  9. Published

    Coresets for Archetypal Analysis

    Mair, S. & Brefeld, U., 2020, 32rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019. Wallach, H. & Larochelle, H. (eds.). Red Hook: Curran Associates, Vol. 10. p. 7215-7223 9 p. (Advances in neural information processing systems; vol. 32).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  10. Published

    Data-driven analyses of electronic text books

    Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2016, Solving large scale learning tasks: Challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday. Michaelis, S., Piatkowski, N. & Stolpe, M. (eds.). Cham: Springer International Publishing AG, p. 362-376 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9580).

    Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research

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