Thomas Mortier

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Hierarchical Classification

Top Venues

BNAIC/BENELEARN

Publications

Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
On the Calibration of Probabilistic Classifier Sets. AISTATS (2023)
Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
On Calibration of Ensemble-Based Credal Predictors. CoRR (2022)
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
Set-valued prediction in hierarchical classification with constrained representation complexity. UAI (2022)
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
Set-valued prediction in hierarchical classification with constrained representation complexity. CoRR (2022)
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
Efficient set-valued prediction in multi-class classification. Data Min. Knowl. Discov. 35 (4) (2021)
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
Set-Valued Prediction in Multi-Class Classification. BNAIC/BENELEARN (2019)
Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification. CoRR (2019)
Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman
Deep F-Measure Maximization in Multi-label Classification: A Comparative Study. ECML/PKDD (1) (2018)