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Antonio Mastropietro
Antonio Mastropietro
Postdoctoral Fellow, University of Pisa, Computer Science
Adresse e-mail validée de di.unipi.it
Titre
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Année
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
402021
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
62022
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
52021
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
42022
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
42019
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
32023
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
32021
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
32002
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
12021
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
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