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Thomas Hermans
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2020 – today
- 2024
- [j6]Wouter Deleersnyder, David Dudal, Thomas Hermans:
A multidimensional AI-trained correction to the 1D approximate model for Airborne TDEM sensing. Comput. Geosci. 188: 105602 (2024) - 2023
- [j5]Pierre Goovaerts, Thomas Hermans, Peter F. Goossens, Ellen Van De Vijver:
Comparison of Soft Indicator and Poisson Kriging for the Noise-Filtering and Downscaling of Areal Data: Application to Daily COVID-19 Incidence Rates. ISPRS Int. J. Geo Inf. 12(8): 328 (2023) - 2022
- [j4]Wouter Deleersnyder, David Dudal, Thomas Hermans:
Novel Airborne EM Image Appraisal Tool for Imperfect Forward Modeling. Remote. Sens. 14(22): 5757 (2022) - 2021
- [j3]Jorge Lopez-Alvis, Eric Laloy, Frédéric Nguyen, Thomas Hermans:
Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder. Comput. Geosci. 152: 104762 (2021) - [i1]Robin Thibaut, Eric Laloy, Thomas Hermans:
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area. CoRR abs/2105.05539 (2021) - 2020
- [j2]Christin Bobe, Daan Hanssens, Thomas Hermans, Ellen Van De Vijver:
Efficient Probabilistic Joint Inversion of Direct Current Resistivity and Small-Loop Electromagnetic Data. Algorithms 13(6): 144 (2020) - [j1]Hadrien Michel, Frédéric Nguyen, Thomas Kremer, Ann Elen, Thomas Hermans:
1D geological imaging of the subsurface from geophysical data with Bayesian Evidential Learning. Comput. Geosci. 138: 104456 (2020)
Coauthor Index
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