Professorship for Information Systems, in particular Machine Learning

Organisational unit: Professoship

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).

  1. 2013
  2. Learning Shortest Paths for Word Graphs

    Tzouridis, E. (Speaker) & Brefeld, U. (Speaker)

    23.09.201327.09.2013

    Activity: Talk or presentationConference PresentationsResearch

  3. 2007
  4. Support Vector Machines for Collective Inference

    Brefeld, U. (Speaker), Klein, T. (Speaker) & Scheffer, T. (Speaker)

    01.08.200703.08.2007

    Activity: Talk or presentationConference PresentationsResearch

  5. 2006
  6. Discriminative Identification of Duplicates

    Haider, P. (Speaker), Brefeld, U. (Speaker) & Scheffer, T. (Speaker)

    18.09.200622.09.2006

    Activity: Talk or presentationConference PresentationsResearch

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