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).
- 2024
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
PODIUMSDISKUSSION: Lehramtsstudium und/oder Künstliche Intelligenz? Ethische Herausforderungen in Bildung durch Technik.
Mah, D.-K. (Speaker), Brefeld, U. (Speaker), Broy, W. (Speaker) & Kück, T. J. (Moderator)
13.06.2024Activity: Participating in or organising an academic or articstic event › External workshops, courses, seminars › Transfer
- 2023
Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Rudolph, Y. (Speaker) & Brefeld, U. (Coauthor)
18.09.2023Activity: Talk or presentation › talk or presentation in privat or public events › Research
Data-efficient Pattern Detection in Elite Soccer
Rudolph, Y. (Speaker), Faßmeyer, D. (Coauthor) & Brefeld, U. (Coauthor)
26.05.2023Activity: Talk or presentation › Conference Presentations › Research
- 2022
Modeling Conditional Dependencies in Multiagent Trajectories
Rudolph, Y. (Speaker) & Brefeld, U. (Coauthor)
28.03.2022Activity: Talk or presentation › Presentations (poster etc.) › Research
Detection of tactical patterns using semi-supervised graph neural networks
Anzer, G. (Speaker), Bauer, P. (Speaker), Brefeld, U. (Speaker) & Faßmeyer, D. (Speaker)
2022Activity: Talk or presentation › Conference Presentations › Research
- 2020
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Rudolph, Y. (Speaker), Brefeld, U. (Coauthor) & Dick, U. (Coauthor)
12.12.2020Activity: Talk or presentation › Presentations (poster etc.) › Research
Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge LAK20
Neubauer , K. (Participant) & Brefeld, U. (Participant)
25.03.2020 → 27.03.2020Activity: Participating in or organising an academic or articstic event › Conferences › Research
- 2018
MDP-based Itinerary Recommendation using Geo-Tagged Social Media
Gaonkar, R. (Speaker), Tavakol, M. (Speaker) & Brefeld, U. (Speaker)
24.10.2018Activity: Talk or presentation › Conference Presentations › Research
Concurrent Adaptive Tests for Formative Assessments in School Classes
Bengs, D. (Speaker), Brefeld, U. (Speaker) & Kröhne, U. (Speaker)
26.07.2018Activity: Talk or presentation › Conference Presentations › Research