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Dirk Valkenborg
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2020 – today
- 2024
- [j5]Arne Gevaert
, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys:
Evaluating feature attribution methods in the image domain. Mach. Learn. 113(9): 6019-6064 (2024) - 2022
- [d2]Arne Gevaert
Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters. Zenodo, 2022 - [d1]Arne Gevaert
Evaluating Feature Attribution Methods in the Image Domain: High-Dimensional Datasets. Zenodo, 2022 - [i1]Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys:
Evaluating Feature Attribution Methods in the Image Domain. CoRR abs/2202.12270 (2022) - 2021
- [j4]Thijs Becker
Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. Sensors 21(4): 1046 (2021) - [c2]Axel-Jan Rousseau
Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation. ISBI 2021: 1052-1056 - 2020
- [j3]Jan Yperman, Thijs Becker, Dirk Valkenborg
Deciphering the Morphology of Motor Evoked Potentials. Frontiers Neuroinformatics 14: 28 (2020)
2010 – 2019
- 2018
- [j2]Michal Aleksander Ciach
Estimation of Rates of Reactions Triggered by Electron Transfer in Top-Down Mass Spectrometry. J. Comput. Biol. 25(3): 282-301 (2018) - 2017
- [c1]Michal Aleksander Ciach, Mateusz Krzysztof Lacki, Blazej Miasojedow
Estimation of Rates of Reactions Triggered by Electron Transfer in Top-Down Mass Spectrometry. ISBRA 2017: 96-107 - 2011
- [j1]Trung-Nghia Vu
An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. BMC Bioinform. 12: 405 (2011)
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