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Thomas Mortier
Thomas Mortier
Postdoctoral researcher, Ghent University
Potvrđena adresa e-pošte na ugent.be
Naslov
Citirano
Citirano
Godina
Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: a large-scale benchmarking study
T Mortier, AD Wieme, P Vandamme, W Waegeman
Computational and Structural Biotechnology Journal 19, 6157-6168, 2021
442021
A protocol for automated timber species identification using metabolome profiling
V Deklerck, T Mortier, N Goeders, RB Cody, W Waegeman, E Espinoza, ...
Wood Science and Technology 53 (4), 953-965, 2019
422019
Efficient set-valued prediction in multi-class classification
T Mortier, M Wydmuch, K Dembczyński, E Hüllermeier, W Waegeman
Data Mining and Knowledge Discovery 35 (4), 1435-1469, 2021
392021
Deep F-measure Maximization in Multi-label Classification: A Comparative Study
S Decubber, T Mortier, W Waegeman, K Dembczyński
ECML-PKDD, 16 pages, 2018
222018
On the Calibration of Probabilistic Classifier Sets
T Mortier, V Bengs, E Hüllermeier, S Luca, W Waegeman
International Conference on Artificial Intelligence and Statistics, 8857-8870, 2023
42023
Efficient algorithms for set-valued prediction in multi-class classification
T Mortier, M Wydmuch, E Hüllermeier, K Dembczynski, W Waegeman
CoRR, abs, 1906
41906
Set-valued prediction in hierarchical classification with constrained representation complexity
T Mortier, E Hüllermeier, K Dembczyński, W Waegeman
Uncertainty in Artificial Intelligence, 1392-1401, 2022
32022
Modeling of climate-vegetation dynamics using machine learning techniques in a non-linear Granger causality framework
T Mortier
Ghent University, 2017
32017
A framework for tracing timber following the Ukraine invasion
T Mortier, J Truszkowski, M Norman, M Boner, B Buliga, C Chater, ...
Nature Plants 10 (3), 390-401, 2024
22024
Efficient algorithms for set-valued prediction in classification
T Mortier
Ghent University, 2023
12023
Uncertainty-aware single-cell annotation with a hierarchical reject option
L Theunissen, T Mortier, Y Saeys, W Waegeman
Bioinformatics 40 (3), btae128, 2024
2024
On Calibration of Ensemble-Based Credal Predictors
T Mortier, V Bengs, S Luca, W Waegeman
stat 1050, 20, 2022
2022
Set-valued prediction in hierarchical classification
T Mortier, E Hüllermeier, K Dembczynski34, W Waegeman
2022
Set-Valued Prediction in Multi-Class Classification
T Mortier, M Wydmuch, K Dembczyński, E Hüllermeier, W Waegeman
31st Benelux conference on Artificial Intelligence (BNAIC 2019); 28th …, 2019
2019
Non-reference-based DNA read compression using machine learning techniques
T Mortier
Ghent University, 2016
2016
584fbd27-7f6d-463d-90bd-9c39a1df364a-s41477-024-01648-5. pdf Page 08
T Mortier, J Truszkowski, M Norman, M Boner, B Buliga, C Chater, ...
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