AAAdoubi Vincent De Paul Adombi
Adoubi Vincent De Paul Adombi
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Adoubi Vincent De Paul Adombi has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
Romain Chesnaux
Research Group R2Eau, Centre d’études sur les ressources minérales, Université du Québec à Chicoutimi, Chicoutimi, Canada
4 shared publicationsMarie-Amélie Boucher
Department of Civil Engineering, Universite de Sherbrooke, Sherbrooke, Canada
2 shared publications
Latest Publications
- Open Access
- 10 September 2026
- Published by Elsevier in Journal of Hydrology
Ensembling or not? On the value of boosting and bagging for physics-aware machine learning in hydrology
- 10 September 2026
- Published by Elsevier in Journal of Hydrology
Open AccessEnsembling or not? On the value of boosting and bagging for physics-aware machine learning in hydrology
- Open Access
- 2 April 2026
- Published by Springer Nature in Environmental Earth Sciences
- Vol. 85 (8) , 197
Key drivers of physics-embedded machine learning performance for streamflow prediction
- 2 April 2026
- Published by Springer Nature in Environmental Earth Sciences
- Vol. 85 (8) , 197
Open AccessKey drivers of physics-embedded machine learning performance for streamflow prediction
- 9 October 2025
- Published by Springer Nature in Earth Science Informatics
- Vol. 18 (4) , 1-24
Scientific machine learning in hydrology: a unified perspective
- 9 October 2025
- Published by Springer Nature in Earth Science Informatics
- Vol. 18 (4) , 1-24
Scientific machine learning in hydrology: a unified perspective
- 15 January 2025
- Published by Springer Nature in Environmental Earth Sciences
- Vol. 84 (2) , 1-17
Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency
- 15 January 2025
- Published by Springer Nature in Environmental Earth Sciences
- Vol. 84 (2) , 1-17
Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency
- 14 March 2024
- Published by Springer Nature in Environmental Earth Sciences
- Vol. 83 (6) , 1-15
Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada
- 14 March 2024
- Published by Springer Nature in Environmental Earth Sciences
- Vol. 83 (6) , 1-15
Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada
- 20 September 2021
- Published by Springer Nature in Hydrogeology Journal
- Vol. 29 (8) , 2671-2683
Review: Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges
- 20 September 2021
- Published by Springer Nature in Hydrogeology Journal
- Vol. 29 (8) , 2671-2683
Review: Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges