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).
Support Vector Machines for Collective Inference
Brefeld, U. (Speaker), Klein, T. (Speaker) & Scheffer, T. (Speaker)
01.08.2007 → 03.08.2007Activity: Talk or presentation › Conference Presentations › Research
Team Sports Analytics (ECML/PKDD Tutorial)
Rudolph, Y. (Speaker), Robberechts, P. (Speaker), Van Roy, M. (Speaker) & Zimmermann, A. (Speaker)
13.09.2024Activity: Talk or presentation › Conference Presentations › Research
THE EUROPEAN CONFERENCE ON MACHINE LEARNING & PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES 2017
Brefeld, U. (Coauthor)
2017 → …Activity: Participating in or organising an academic or articstic event › External workshops, courses, seminars › Research