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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. 2022
  2. Published

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

    Rodrigues, I. M., Aloise, D. & Fernandes, E. R., 17.10.2022, 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

  3. Published

    Uma Caracterização das Polı́ticas de Privacidade Utilizadas em Aplicativos no Brasil

    Jardim, G. P. S., Rabello, M. E. R., Lima, A. C., Brefeld, U. & Quadros dos Reis, V., 05.08.2022, Anais do III Workshop sobre as Implicações da Computação na Sociedade (WICS). Sociedade Brasileira de Computação (SBC), p. 13-25 13 p. (WORKSHOP SOBRE AS IMPLICAÇÕES DA COMPUTAÇÃO NA SOCIEDADE (WICS); no. 3/2022).

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

  4. 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

  5. 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

  6. Published

    Modeling Conditional Dependencies in Multiagent Trajectories

    Rudolph, Y. & Brefeld, U., 2022, In: Proceedings of Machine Learning Research. 151, p. 10518-10533 16 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  7. Published

    Semi-Supervised Generative Models for Multi-Agent Trajectories

    Brefeld, U., Fassmeyer, D. & Fassmeyer, P., 2022, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook: Curran Associates, Vol. 48. p. 37267-37281 15 p. (Advances in Neural Information Processing Systems; vol. 35).

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

  8. 2021
  9. Published

    The origins of goals in the German Bundesliga

    Anzer, G., Bauer, P. & Brefeld, U., 17.11.2021, In: Journal of Sports Sciences. 39, 22, p. 2525-2544 20 p.

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

  10. 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

  11. Published

    Principled Interpolation in Normalizing Flows

    Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 09.2021, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II. Oliver, N., Pérez-Cruz, F., Kramer, S., Read, J. & Lozano, J. A. (eds.). Cham: Springer Nature, p. 116-131 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12976 LNAI).

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

  12. Published

    Space and Control in Soccer

    Martens, F., Dick, U. & Brefeld, U., 16.07.2021, In: Frontiers in Sports and Active Living . 3, 13 p., 676179.

    Research output: Journal contributions › Journal articles › Research

  13. 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

  14. Published

    Joint optimization of an autoencoder for clustering and embedding

    Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.

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

  15. Published

    Simultaneous Constrained Adaptive Item Selection for Group-Based Testing

    Bengs, D., Kroehne, U. & Brefeld, U., 01.06.2021, In: Journal of Educational Measurement. 58, 2, p. 236-261 26 p.

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

  16. Published

    Evaluating one-shot tournament predictions

    Ekstrom, C. T., Van Eetvelde, H., Ley, C. & Brefeld, U., 05.04.2021, In: Journal of Sports Analytics. 7, 1, p. 37-46 10 p.

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

  17. 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

  18. 2020
  19. 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

  20. Published

    Sensor Measures of Affective Leaning

    Martens, T., Niemann, M. & Dick, U., 30.04.2020, In: Frontiers in Psychology. 11, 10 p., 379.

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

  21. Published

    HyperUCB: Hyperparameter optimization using contextual bandits

    Tavakol, M., Mair, S. & Morik, K., 28.03.2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Cellier, P. & Driessens, K. (eds.). Cham: Springer Nature, Vol. 1. p. 44-50 7 p. ( Communications in Computer and Information Science; vol. 1167).

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

  22. 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 Verlag, 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

  23. 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

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