Professorship for Information Systems, in particular Machine Learning
Organisational unit: Professoship
Topics
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).
Most downloaded publications
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172
downloads
Joint optimization of an autoencoder for clustering and embedding
Research output: Journal contributions › Journal articles › Research › peer-review
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60
downloads
Toward Automatically Labeling Situations in Soccer
Research output: Journal contributions › Journal articles › Research › peer-review
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56
downloads
Evaluating one-shot tournament predictions
Research output: Journal contributions › Journal articles › Research › peer-review
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54
downloads
Sensor Measures of Affective Leaning
Research output: Journal contributions › Journal articles › Research › peer-review
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49
downloads
Space and Control in Soccer
Research output: Journal contributions › Journal articles › Research