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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

    FaST: A linear time stack trace alignment heuristic for crash report deduplication

    Rodrigues, I. M., Aloise, D. & Fernandes, E. R., 23.05.2022, The 2022 Mining Software Repositories Conference: MSR 2022, Proceedings; 18-20 May 2022, Virtual; 23-24 May 2022, Pittsburgh, Pennsylvania. New York: Institute of Electrical and Electronics Engineers Inc., p. 549-560 12 p. (Proceedings - IEEE/ACM International Conference on Mining Software Repositories ).

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

  2. Published

    Who can receive the pass? A computational model for quantifying availability in soccer

    Dick, U., Link, D. & Brefeld, U., 01.05.2022, In: Data Mining and Knowledge Discovery. 36, 3, p. 987-1014 28 p.

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

  3. 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

  4. Published

    Rating Player Actions in Soccer

    Dick, U., Tavakol, M. & Brefeld, U., 15.07.2021, In: Frontiers in Sports and Active Living. 3, 14 p., 682986.

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

  5. Published

    Toward Automatically Labeling Situations in Soccer

    Fassmeyer, D., Anzer, G., Bauer, P. & Brefeld, U., 03.11.2021, In: Frontiers in Sports and Active Living. 3, 15 p., 725431.

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

  6. Published

    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

    Brefeld, U. (Editor), Davis, J. (Editor), van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2020, Cham: Springer International Publishing. 146 p. (Communications in Computer and Information Science; vol. 1324)

    Research output: Books and anthologies › Conference proceedings › Research

  7. Published

    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 804 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

  8. Published

    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

  9. Published

    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

  10. Published

    Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data

    Bock, F. E., Paulsen, T., Brkovic, N., Rieckmann, L., Kroeger, D., Wolgast, D., Zander, P., Suhuddin, U. F. H., dos Santos, J. F. & Klusemann, B., 02.04.2021, ESAFORM 2021: 24th International Conference on Material Forming. Liège: ULiège Library, 11 p. 2589. (ESAFORM 2021 - 24th International Conference on Material Forming).

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

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