Thomas Mortier

According to our database, Thomas Mortier authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On the Calibration of Probabilistic Classifier Sets.

Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On Calibration of Ensemble-Based Credal Predictors.

Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman

CoRR, 2022

Set-valued prediction in hierarchical classification with constrained representation complexity.

Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Efficient set-valued prediction in multi-class classification.

Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman

Data Min. Knowl. Discov., 2021

2019

Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.

Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman

CoRR, 2019

Set-Valued Prediction in Multi-Class Classification.

Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Deep F-Measure Maximization in Multi-label Classification: A Comparative Study.

Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018