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 | 44 | 2021 |
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 | 42 | 2019 |
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 | 39 | 2021 |
Deep F-measure Maximization in Multi-label Classification: A Comparative Study S Decubber, T Mortier, W Waegeman, K Dembczyński ECML-PKDD, 16 pages, 2018 | 22 | 2018 |
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 | 4 | 2023 |
Efficient algorithms for set-valued prediction in multi-class classification T Mortier, M Wydmuch, E Hüllermeier, K Dembczynski, W Waegeman CoRR, abs, 1906 | 4 | 1906 |
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 | 3 | 2022 |
Modeling of climate-vegetation dynamics using machine learning techniques in a non-linear Granger causality framework T Mortier Ghent University, 2017 | 3 | 2017 |
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 | 2 | 2024 |
Efficient algorithms for set-valued prediction in classification T Mortier Ghent University, 2023 | 1 | 2023 |
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, ... | | |