Thomas Mortier

15 papers A 2Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A calibration test for evaluating set-based epistemic uncertainty representations.
CoRR
Mira Jürgens, Thomas Mortier, Eyke Hüllermeier, Viktor Bengs, Willem Waegeman
2025 J jnl
A calibration test for evaluating set-based epistemic uncertainty representations.
Mach. Learn.
Mira Jürgens, Thomas Mortier, Eyke Hüllermeier, Viktor Bengs, Willem Waegeman
2025 — conf
Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation.
KDD (2)
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
2025 J jnl
Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation.
CoRR
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
2025 J jnl
Conformal Prediction in Hierarchical Classification.
CoRR
Thomas Mortier, Alireza Javanmardi, Yusuf Sale, Eyke Hüllermeier, Willem Waegeman
2025 J jnl
Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics.
Briefings Bioinform.
Lauren Theunissen, Thomas Mortier, Yvan Saeys, Willem Waegeman
2024 J jnl
Uncertainty-aware single-cell annotation with a hierarchical reject option.
Bioinform.
Lauren Theunissen, Thomas Mortier, Yvan Saeys, Willem Waegeman
2023 A conf
On the Calibration of Probabilistic Classifier Sets.
AISTATS
Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
2022 J jnl
On Calibration of Ensemble-Based Credal Predictors.
CoRR
Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
2022 A conf
Set-valued prediction in hierarchical classification with constrained representation complexity.
UAI
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
2022 J jnl
Set-valued prediction in hierarchical classification with constrained representation complexity.
CoRR
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
2021 J jnl
Efficient set-valued prediction in multi-class classification.
Data Min. Knowl. Discov.
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
2019 J jnl
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.
CoRR
Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
2019 — conf
Set-Valued Prediction in Multi-Class Classification.
BNAIC/BENELEARN
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
2018 — conf
Deep F-Measure Maximization in Multi-label Classification: A Comparative Study.
ECML/PKDD (1)
Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman