1.7k citations · 2.1k across the 113 of their papers we have counts for
5 papers · 1 filter
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities
Eyke Hüllermeier
Recent applications of machine learning (ML) reveal a noticeable shift from its use for predictive modeling in the sense of a data-driven construction of models mainly used for the…
Machine Learning for Online Algorithm Selection under Censored Feedback
Alexander Tornede, Viktor Bengs, Eyke Hüllermeier
In online algorithm selection (OAS), instances of an algorithmic problem class are presented to an agent one after another, and the agent has to quickly select a presumably best al…
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
Matthias Springstein, Stefanie Schneider, Javad Rahnama +3
In this paper, we introduce iART: an open Web platform for art-historical research that facilitates the process of comparative vision. The system integrates various machine learnin…
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
Mohammad Hossein Shaker, Eyke Hüllermeier
The idea to distinguish and quantify two important types of uncertainty, often referred to as aleatoric and epistemic, has received increasing attention in machine learning researc…
Gradient-based Label Binning in Multi-label Classification
Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz +1
In multi-label classification, where a single example may be associated with several class labels at the same time, the ability to model dependencies between labels is considered c…