| 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 |
| 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 |
| Artificial Intelligence for damage detection in automotive composite parts: A use case A Ciampaglia, A Mastropietro, A De Gregorio, F Vaccarino, G Belingardi, ... SAE International Journal of Advances and Current Practices in Mobility 3 …, 2021 | 5 | 2021 |
| Project and Development of a Reinforcement Learning Based Control Algorithm for Hybrid Electric Vehicles C Maino, A Mastropietro, L Sorrentino, E Busto, D Misul, E Spessa applied sciences 12 (2), 812, 2022 | 4 | 2022 |
| Reinforcement learning control algorithm for HVAC retrofitting: application to a supermarket building model by dynamic simulation A Mastropietro, F Castiglione, S Ballesio, E Fabrizio Proceedings of Building Simulation 2019: 16th Conference of IBPSA 16, 2019 | 4 | 2019 |
| Influence of the reward function on the selection of reinforcement learning agents for hybrid electric vehicles real-time control M Acquarone, C Maino, D Misul, E Spessa, A Mastropietro, L Sorrentino, ... Energies 16 (6), 2749, 2023 | 3 | 2023 |
| 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. In Proceedings of the Workshop …, 2002 | 3 | 2002 |
| Graph informed deep learning for uncertainty quantification in discrete fracture networks S Berrone, FD Santa, A Mastropietro, S Pieraccini, F Vaccarino Proceedings of SIMAI 2020 21, 2021 | 2 | 2021 |
| The Shapley-Hodge Associated Game A Mastropietro, F Vaccarino https://arxiv.org/abs/2303.17151, 2023 | | 2023 |
| Sanity Check for Shapley values-based explanations of Deep Neural Networks Predictions R Tatano, A Mastropietro, E Busto, F Vaccarino 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI …, 2022 | | 2022 |
| TRANSFORMERS ARCHITECTURES FOR TIME SERIES FORECASTING A Policarpi, M Lombardi, R Tatano, A Mastropietro Universita' di Bologna, Italy, 2022 | | 2022 |
| Ricerca di anomalie su sistemi ingegneristici attraverso metodi di intelligenza artificiale F Vaccarino, A Gardetto, A Mastropietro, A De Gregorio Politecnico di Torino, Italy, 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, 2021 | | 2021 |
| A Reinforced Learning (RL) algorithm for optimal control of HVAC: Comparison with a standard PI control for the supermarket DOE reference building S Ballesio, F Castiglione, E Fabrizio, A Mastropietro Proceedings of Building Simulation 2019: the 16th Conference of IBPSA, 1412-1419, 2020 | | 2020 |
| Application of Deep Learning to Design Renewable Energy Systems fo 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 |
| Overcoming the limits of Deep Reinforcement Learning with Model-Based approach L Sorrentino, A Mastropietro, M Aldinucci | | 2020 |
| Reinforcement Learning Control Algorithm for HVAC Retrofitting: Application to a Supermarket Building Model by Dynamic Simulation A Mastropietro, F Castiglione, S Ballesio, E Fabrizio | | |
Francesco VaccarinoPolitecnico di TorinoVerified email at polito.it
