1.7k citations · 2.1k across the 113 of their papers we have counts for
5 papers · 1 filter
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
Mohsen Ahmadi Fahandar, Eyke Hüllermeier, Inés Couso
We consider the problem of statistical inference for ranking data, specifically rank aggregation, under the assumption that samples are incomplete in the sense of not comprising al…
From knowledge-based to data-driven modeling of fuzzy rule-based systems: A critical reflection
Eyke Hüllermeier
This paper briefly elaborates on a development in (applied) fuzzy logic that has taken place in the last couple of decades, namely, the complementation or even replacement of the t…
Learning to Rank based on Analogical Reasoning
Mohsen Ahmadi Fahandar, Eyke Hüllermeier
Object ranking or "learning to rank" is an important problem in the realm of preference learning. On the basis of training data in the form of a set of rankings of objects represen…
Predicting Rankings of Software Verification Competitions
Mike Czech, Eyke Hüllermeier, Marie-Christine Jakobs +1
Software verification competitions, such as the annual SV-COMP, evaluate software verification tools with respect to their effectivity and efficiency. Typically, the outcome of a c…
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)
Serge Abiteboul, Marcelo Arenas, Pablo Barceló +18
In April 2016, a community of researchers working in the area of Principles of Data Management (PDM) joined in a workshop at the Dagstuhl Castle in Germany. The workshop was organi…