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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. 2016
  2. Published

    Feature Extraction and Aggregation for Predicting the Euro 2016

    Tavakol, M., Zafartavanaelmi, H. & Brefeld, U., 09.2016, In: CEUR Workshop Proceedings. 1842, 1842, 7 p.

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

  3. Published

    Spatio-Temporal Convolution Kernels

    Knauf, K., Memmert, D. & Brefeld, U., 01.02.2016, In: Machine Learning. 102, 2, p. 247-273 27 p.

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

  4. 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

  5. Published

    Using Wikipedia for Cross-Language Named Entity Recognition

    Fernandes, E. R., Brefeld, U., Blanco, R. & Atserias, J., 2016, Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Atzmüller, M., Chin, A., Janssen, F., Schweizer, I. & Trattner, C. (eds.). Springer International Publishing AG, p. 1-25 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9546).

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

  6. 2015
  7. 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

  8. Published

    Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models

    Schäfer, M., Mair, S., Berchtold, W. & Steinebach, M., 17.06.2015, Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security. Association for Computing Machinery, Inc, p. 109-114 6 p. (IH and MMSec 2015 - Proceedings of the 2015 ACM Workshop on Information Hiding and Multimedia Security).

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

  9. 2014
  10. Published

    Nmap: A novel neighborhood preservation space-filling algorithm

    Duarte, F. S. L. G., Sikansi, F., Fatore, F. M., Fadel, S. G. & Paulovich, F. V., 31.12.2014, In: IEEE Transactions on Visualization and Computer Graphics. 20, 12, p. 2063-2071 9 p., 6876012.

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

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