| Satellite derived bathymetry using deep learning M Al Najar, G Thoumyre, EWJ Bergsma, R Almar, R Benshila, DG Wilson Machine Learning, 1-24, 2023 | 28 | 2023 |
| Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches M Al Najar, Y El Bennioui, G Thoumyre, R Almar, EWJ Bergsma, ... Remote Sensing 14 (5), 1196, 2022 | 26 | 2022 |
| A deep learning approach for estimation of the nearshore bathymetry R Benshila, G Thoumyre, MA Najar, G Abessolo, R Almar, E Bergsma, ... Journal of Coastal Research 95 (SI), 1011-1015, 2020 | 17 | 2020 |
| A combined color and wave-based approach to satellite derived bathymetry using deep learning M Al Najar, Y El Bennioui, G Thoumyre, R Almar, EWJ Bergsma, ... XXIV ISPRS Congress (2022) 43, 9-16, 2022 | 6 | 2022 |
| Genetic improvement of shoreline evolution forecasting models MA Najar, R Almar, EWJ Bergsma, JM Delvit, DG Wilson Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 2 | 2022 |
| Browsing Information Retrieval System Results T Abdulghani, M Alnajar, R Belaroussi, J Mothe, M Ryzhov, S Samoskaite 15e Conference francophone en Recherche d'Information et Applications (CORIA …, 2018 | 2 | 2018 |
| Improving a shoreline forecasting model with Symbolic Regression M Al Najar, R Almar, EWJ Bergsma, JM Delvit, DG Wilson Tackling Climate Change with Machine Learning, ICLR 2023, 2023 | | 2023 |
| Improving Shoreline Forecasting Models with Multi-Objective Genetic Programming M Al Najar, R Almar, EWJ Bergsma, JM Delvit, DG Wilson Available at SSRN 4477174, 2023 | | 2023 |
Erwin W. J. BergsmaCNES - Earth Observation LabVerified email at cnes.fr
