| Design optimization of renewable energy systems for NZEBs based on deep residual learning M Ferrara, F Della Santa, M Bilardo, A De Gregorio, A Mastropietro, ... Renewable Energy 176, 590-605, 2021 | 40 | 2021 |
| Machine learning for flux regression in discrete fracture networks S Berrone, F Della Santa, S Pieraccini, F Vaccarino GEM-International Journal on Geomathematics 12 (1), 9, 2021 | 10 | 2021 |
| Multi-Objective Optimisation of an Aerostatic Pad: Design of Position, Number and Diameter of the Supply Holes F Colombo, F Della Santa, S Pieraccini Journal of Mechanics 36 (3), 347-360, 2020 | 9 | 2020 |
| Discontinuous neural networks and discontinuity learning F Della Santa, S Pieraccini Journal of Computational and Applied Mathematics 419, 114678, 2023 | 8 | 2023 |
| Graph-Informed Neural Networks for Regressions on Graph-Structured Data S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino Mathematics 10 (5), 786, 2022 | 7 | 2022 |
| Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks S Berrone, F Della Santa Geosciences 11 (3), 131, 2021 | 5 | 2021 |
| Layer-wise relevance propagation for backbone identification in discrete fracture networks S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino Journal of Computational Science 55, 101458, 2021 | 3 | 2021 |
| Discrete Fracture Network insights by eXplainable AI S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino Machine Learning and the Physical Sciences (https://ml4physicalsciences …, 2020 | 3* | 2020 |
| Graph Informed Deep Learning for Uncertainty Quantification in Discrete Fracture Networks S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino PROCEEDINGS OF SIMAI 2020+ 21, 2021 | 2 | 2021 |
| Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors F Della Santa, S Pieraccini arXiv preprint arXiv:2401.13652, 2024 | 1 | 2024 |
| Sparse Implementation of Versatile Graph-Informed Layers F Della Santa arXiv preprint arXiv:2403.13781, 2024 | | 2024 |
| Automatic Differentiation-Based Multi-Start for Gradient-Based Optimization Methods F Della Santa Mathematics 12 (8), 1201, 2024 | | 2024 |
| Alternate Training of Shared and Task-Specific Parameters for Multi-Task Neural Networks S Bellavia, F Della Santa, A Papini arXiv preprint arXiv:2312.16340, 2023 | | 2023 |
| Data-Driven Deep Learning Methods for Physically-Based Simulations F Della Santa Politecnico di Torino, Università degli Studi di Torino, 2021 | | 2021 |
| Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks S Berrone, F Della Santa, A Mastropietro, S Pieraccini, F Vaccarino Machine Learning and the Physical Sciences (https://ml4physicalsciences …, 2021 | | 2021 |
| Application of Deep Learning to Design Renewable Energy Systems for a Zero Energy Multifamily Building F Della Santa, M Ferrara, M Bilardo, A {De Gregorio}, A Mastropietro, ... CD Proceedings - Dubrovnik Conference on Sustainable Development of Energy …, 2020 | | 2020 |
| VIII Modelling Week UCM (2014) Efficient Railway Timetabling Using Max-Plus Algebra MA Castellanos, F Della Santa, BF Suárez, JG Ortega | | 2014 |
Francesco VaccarinoPolitecnico di TorinoBestätigte E-Mail-Adresse bei polito.it
