Although the focus of our research is on theoretical foundations and methodological problems, we are also interested in practical applications of machine learning and artificial intelligence. Jointly with colleagues from other disciplines, we have been working on applications in engineering, economics, the life sciences, and the humanities. In addition, we are also collaborating with partners from the industry.
Selected Publications
- Nastaran Saberi, Mohammad Hossein Shaker, Claude R. Duguay, K Andrea Scott, Eyke Hüllermeier (2025)
Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data(bib)(pdf)
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 18: pp. 5919-5927 - Julian Lienen, Eyke Hüllermeier, Ralph Ewerth, Nils Nommensen (2021)
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model(bib)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20-25 June 2021, Nashville, TN, USA - Stefan Heid, Marcel Wever, Eyke Hüllermeier (2024)
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction(bib)(pdf)
In: Journal of Data Mining & Digital Humanities - Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier (2021)
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance(bib)
GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion, 10 - 14 July, 2021, Lille, France - Simone Dari, Nikolay Kadrileev, Eyke Hüllermeier (2020)
A Neural Network-Based Driver Gaze Classification System with Vehicle Signals(bib)
2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, UK