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. A Learning Agent for Parameter Adaptation in Speeded Tests

    Bengs, D. (Speaker) & Brefeld, U. (Speaker)

    23.09.201627.09.2016

    Activity: Talk or presentationConference PresentationsResearch

  2. Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge LAK20

    Neubauer , K. (Participant) & Brefeld, U. (Participant)

    25.03.202027.03.2020

    Activity: Participating in or organising an academic or articstic eventConferencesResearch

  3. Concurrent Adaptive Tests for Formative Assessments in School Classes

    Bengs, D. (Speaker), Brefeld, U. (Speaker) & Kröhne, U. (Speaker)

    26.07.2018

    Activity: Talk or presentationConference PresentationsResearch

  4. Data-efficient Pattern Detection in Elite Soccer

    Rudolph, Y. (Speaker), Faßmeyer, D. (Coauthor) & Brefeld, U. (Coauthor)

    26.05.2023

    Activity: Talk or presentationConference PresentationsResearch

  5. Detection of tactical patterns using semi-supervised graph neural networks

    Anzer, G. (Speaker), Bauer, P. (Speaker), Brefeld, U. (Speaker) & Faßmeyer, D. (Speaker)

    2022

    Activity: Talk or presentationConference PresentationsResearch

  6. Discriminative Identification of Duplicates

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

    18.09.200622.09.2006

    Activity: Talk or presentationConference PresentationsResearch

  7. Educational Data Mining - EDM 2018

    Boubekki, A. (Coauthor), Jain, S. (Coauthor) & Brefeld, U. (Speaker)

    15.07.201817.07.2018

    Activity: Participating in or organising an academic or articstic eventConferencesResearch

  8. European conference an Data Analysis -ECDA 2018

    Gaonkar, R. (Coauthor), Tavakol, M. (Coauthor) & Brefeld, U. (Coauthor)

    04.07.201806.07.2018

    Activity: Participating in or organising an academic or articstic eventConferencesResearch

  9. Exploiting the Frame for Active Learning in Multi-class Classification

    Mair, S. (Coauthor) & Brefeld, U. (Coauthor)

    15.07.201818.07.2018

    Activity: Talk or presentationConference PresentationsResearch

  10. Frame-based Matrix Factorizations

    Mair, S. (Speaker), Boubekki, A. (Speaker), Brefeld, U. (Speaker), Mair, S. (Coauthor), Boubekki, A. (Coauthor) & Brefeld, U. (Coauthor)

    11.09.201713.09.2017

    Activity: Talk or presentationConference PresentationsResearch

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