| Deep learning methods for flood mapping: a review of existing applications and future research directions R Bentivoglio, E Isufi, SN Jonkman, R Taormina Hydrology and Earth System Sciences 26 (16), 4345-4378, 2022 | 143 | 2022 |
| Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks CAF do Lago, MH Giacomoni, R Bentivoglio, R Taormina, MNG Junior, ... Journal of Hydrology 618, 129276, 2023 | 29 | 2023 |
| Rapid spatio-temporal flood modelling via hydraulics-based graph neural networks R Bentivoglio, E Isufi, SN Jonkman, R Taormina Hydrology and Earth System Sciences 27 (23), 4227-4246, 2023 | 14 | 2023 |
| A one-way coupled hydrodynamic advection-diffusion model to simulate congested large wood transport E Persi, G Petaccia, S Sibilla, R Bentivoglio, A Armanini Hydrology 8 (1), 21, 2021 | 5 | 2021 |
| Assessing the performances and transferability of graph neural network metamodels for water distribution systems B Kerimov, R Bentivoglio, A Garzón, E Isufi, F Tscheikner-Gratl, ... Journal of Hydroinformatics 25 (6), 2223-2234, 2023 | 3 | 2023 |
| Modeling water distribution systems with graph neural networks A Garzón, R Bentivoglio, E Isufi, Z Kapelan, R Taormina EGU General Assembly Conference Abstracts, EGU21-9378, 2021 | 2 | 2021 |
| Towards Fully Distributed Rainfall-Runoff Modelling with Graph Neural Networks P Nelemans, R Bentivoglio, J Buitink, A Meshgi, M Hrachowitz, R Dahm, ... EGU24, 2024 | | 2024 |
| Multi-scale hydraulic-based graph neural networks: generalizing spatial flood mapping to irregular meshes and time-varying boundary condition R Bentivoglio, E Isufi, SN Jonkman, R Taormina EGU24, 2024 | | 2024 |
| On the generalization of hydraulic-inspired graph neural networks for spatio-temporal flood simulations R Bentivoglio, E Isufi, S Nicolaas Jonkman, R Taormina EGU General Assembly Conference Abstracts, EGU-12952, 2023 | | 2023 |
| corrected Proof B Kerimov, R Bentivoglio, A Garzón, E Isufi, F Tscheikner-Gratl, ... | | 2023 |
| Workshop on Computational and Mathematical Methods in Data Science 2024 J Akhter, AB Frendo, R Bentivoglio, J Blechschmidt, P Deidda, ... | | |
Riccardo TaorminaAssistant Professor, Department of Water Management, TU Delft在 tudelft.nl 的电子邮件经过验证
