Onderzoeker
Thomas Mortier
- Trefwoorden:Machinaal leren
- Disciplines:Machine learning en besluitvorming, Informatiewetenschappen, Informatiesystemen, Scientific computing, Visual computing
Affiliaties
- Vakgroep Data-analyse en wiskundige modellering (Departement)
Lid
Vanaf1 jan 2018 → Heden - Vakgroep Wiskundige Modellering, Statistiek en Bio-informatica (Departement)
Lid
Vanaf1 okt 2017 → 31 dec 2017
Publicaties
1 - 8 van 8
- A framework for tracing timber following the Ukraine invasion(2024)
Auteurs: Thomas Mortier, Jakub Truszkowski, Marigold Norman, Markus Boner, Bogdan Buliga, Caspar Chater, Henry Jennings, Jade Saunders, Rosie Sibley, Alexandre Antonelli, et al.
Pagina's: 390 - 401 - On the calibration of probabilistic classifier sets(2023)Volume: 206
Auteurs: Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
Pagina's: 8857 - 8870 - Set-valued prediction in hierarchical classification with constrained representation complexity(2022)Volume: 180
Auteurs: Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman, James Cussens, Kun Zhang
Pagina's: 1392 - 1401 - Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques : a large-scale benchmarking study(2021)
Auteurs: Thomas Mortier, Anneleen Wieme, Peter Vandamme, Willem Waegeman
Pagina's: 6157 - 6168 - Set-Valued Prediction in Multi-Class Classification(2019)Volume: 2491
Auteurs: Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman, Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, et al.
Aantal pagina's: 1 - Deep F-measure maximization in multi-label classification : a comparative studyVolume: 11051
Auteurs: Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
Pagina's: 290 - 305 - A protocol for automated timber species identification using metabolome profiling
Auteurs: Victor Deklerck, Thomas Mortier, Nathalie Goeders, RB Cody, E Espinoza, H Beeckman
Pagina's: 953 - 965 - Efficient set-valued prediction in multi-class classification
Auteurs: Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Huellermeier
Pagina's: 1435 - 1469