Deep F-Measure Maximization in Multi-label Classification: A Comparative Study. - Stijn Decubber; Thomas Mortier; Krzysztof Dembczynski; Willem Waegeman (ECML/PKDD (1), 2018)

Set-Valued Prediction in Multi-Class Classification. - Thomas Mortier; Marek Wydmuch; Krzysztof Dembczynski; Eyke Hüllermeier; Willem Waegeman (BNAIC/BENELEARN, 2019)

Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification. - Thomas Mortier; Marek Wydmuch; Eyke Hüllermeier; Krzysztof Dembczynski; Willem Waegeman (CoRR, 2019)

Efficient set-valued prediction in multi-class classification. - Thomas Mortier; Marek Wydmuch; Krzysztof Dembczynski; Eyke Hüllermeier; Willem Waegeman (Data Min. Knowl. Discov., 2021)

Set-valued prediction in hierarchical classification with constrained representation complexity. - Thomas Mortier; Eyke Hüllermeier; Krzysztof Dembczynski; Willem Waegeman (UAI, 2022)

On Calibration of Ensemble-Based Credal Predictors. - Thomas Mortier; Viktor Bengs; Eyke Hüllermeier; Stijn Luca; Willem Waegeman (CoRR, 2022)

On the Calibration of Probabilistic Classifier Sets. - Thomas Mortier; Viktor Bengs; Eyke Hüllermeier; Stijn Luca; Willem Waegeman (AISTATS, 2023)

Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics. - Lauren Theunissen; Thomas Mortier; Yvan Saeys; Willem Waegeman (Briefings Bioinform., 2025)

Conformal Prediction in Hierarchical Classification. - Thomas Mortier; Alireza Javanmardi; Yusuf Sale; Eyke Hüllermeier; Willem Waegeman (CoRR, 2025)

Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. - Shailik Sarkar; Raquib Bin Yousuf; Linhan Wang; Brian Mayer; Thomas Mortier; Victor Deklerck; Jakub Truszkowski; John Simeone; Marigold Norman; Jade Saunders; Chang-Tien Lu; Naren Ramakrishnan (CoRR, 2025)

A calibration test for evaluating set-based epistemic uncertainty representations. - Mira Jürgens; Thomas Mortier; Eyke Hüllermeier; Viktor Bengs; Willem Waegeman (Mach. Learn., 2025)