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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. 2023
  2. Published

    User Authentication via Multifaceted Mouse Movements and Outlier Exposure

    Matthiesen, J. J., Hastedt, H. & Brefeld, U., 01.04.2023, Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux, B., Hess, S. & Nijssen, S. (eds.). Cham: Springer Nature Switzerland AG, p. 300-313 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13876 LNCS).

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

  3. 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

  4. Published

    Data practices in apps from Brazil: What do privacy policies inform us about?

    Quadros dos Reis, V., Rabello, M. E. R., Lima, A. C., Jardim, G. P. S., Fernandes, E. R. & Brefeld, U., 10.02.2023, In: Journal on Interactive Systems. 14, 1, p. 1-8 8 p.

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

  5. 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

  6. Published

    Optimization Analysis for an Uncovered Wagon Transportation with an Interactive Animated Simulation-Based Platform for Multidisciplinary Learning

    Wohlstein, M. H., Zakharova, E., Block, B. M. & Mercorelli, P., 2023, Proceedings of the 15th International Conference on Computer Supported Education - Volume 2, CSEDU 2023. Jovanovic, J., Chounta, I.-A., Uhomoibhi, J. & McLaren, B. (eds.). Science and Technology Publications, Lda (SciTePress), p. 451-457 7 p. (International Conference on Computer Supported Education, CSEDU - Proceedings; vol. 2).

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

  7. 2022
  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

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