Researcher
Thomas Mortier
- Keywords:Machine learning
- Disciplines:Machine learning and decision making, Information sciences, Information systems, Scientific computing, Visual computing
Affiliations
- Department of Data analysis and mathematical modelling (Department)
Member
From1 Jan 2018 → Today - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Member
From1 Oct 2017 → 31 Dec 2017
Publications
1 - 8 of 8
- A framework for tracing timber following the Ukraine invasion(2024)
Authors: Thomas Mortier, Jakub Truszkowski, Marigold Norman, Markus Boner, Bogdan Buliga, Caspar Chater, Henry Jennings, Jade Saunders, Rosie Sibley, Alexandre Antonelli, et al.
Pages: 390 - 401 - On the calibration of probabilistic classifier sets(2023)Volume: 206
Authors: Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
Pages: 8857 - 8870 - Set-valued prediction in hierarchical classification with constrained representation complexity(2022)Volume: 180
Authors: Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman, James Cussens, Kun Zhang
Pages: 1392 - 1401 - Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques : a large-scale benchmarking study(2021)
Authors: Thomas Mortier, Anneleen Wieme, Peter Vandamme, Willem Waegeman
Pages: 6157 - 6168 - Set-Valued Prediction in Multi-Class Classification(2019)Volume: 2491
Authors: Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman, Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, et al.
Number of pages: 1 - Deep F-measure maximization in multi-label classification : a comparative studyVolume: 11051
Authors: Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
Pages: 290 - 305 - A protocol for automated timber species identification using metabolome profiling
Authors: Victor Deklerck, Thomas Mortier, Nathalie Goeders, RB Cody, E Espinoza, H Beeckman
Pages: 953 - 965 - Efficient set-valued prediction in multi-class classification
Authors: Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Huellermeier
Pages: 1435 - 1469