SANGIORGIO, MATTEO
SANGIORGIO, MATTEO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A comparative study on machine learning techniques for intense convective rainfall events forecasting
2020-01-01 Sangiorgio, M.; Barindelli, S.; Guglieri, V.; Biondi, R.; Solazzo, E.; Realini, E.; Venuti, G.; Guariso, G.
Advancing Physical Interpretability of Arctic Sea Ice Dynamics through Automatic Feature Selection
2024-01-01 Bianchi, Luca; Sangiorgio, Matteo; Materia, Stefano; Iovino, Doroteaciro; Castelletti, Andrea
An ANN forecasting system for convective storms: the legacy of the LAMPO project
2022-01-01 Venuti, G.; Mehdipour, E.; Realini, E.; Guglieri, V.; Sangiorgio, M.; Guariso, G.; Barindelli, S.; Solazzo, E.; Biondi, R.; Cislaghi, M.
An empirical assessment of the universality of ANNs to predict oscillatory time series
2020-01-01 Dercole, F.; Sangiorgio, M.; Schmirander, Y.
Arctic sea ice dynamics forecasting through interpretable machine learning
2022-01-01 Sangiorgio, M.; Bianco, E.; Iovino, D.; Materia, S.; Castelletti, A.
Artificial and Real-World Chaotic Oscillators
2021-01-01 Sangiorgio, M.; Dercole, F.; Guariso, G.
Assessing the Effect of Droughts on Complex Multi-sector Water Systems
2024-01-01 Sangiorgio, Matteo; Zaniolo, Marta; Giuliani, Matteo; Castelletti, Andrea
Basic Concepts of Chaos Theory and Nonlinear Time-Series Analysis
2021-01-01 Sangiorgio, M.; Dercole, F.; Guariso, G.
Can advanced machine learning techniques help to reconstruct barn swallows’ long-distance migratory paths?
2018-01-01 Pancerasa, M.; Sangiorgio, M.; Winkler, D. W.; Ambrosini, R.; Saino, N.; Casagrandi, R.
Climate change adaptation through integrated management of water reuse technologies
2023-01-01 Sangiorgio, M.; Weber, E.; Cananzi, D.; Zatarain Salazar, J.; Micotti, M.; Castelletti, A.
Climate change adaptation through water portfolios planning in Alpine water systems
2022-01-01 Sangiorgio, M.; Yang, G.; Amaranto, A.; Micotti, M.; Weber, E.; Giuliani, M.; Castelletti, A.
Comparative analysis of different spatial clustering techniques to model Arctic sea ice dynamics
2021-01-01 Sangiorgio, M.; Bianco, E.; Iovino, D.; Materia, S.; Castelletti, A.
Concluding Remarks on Chaotic Dynamics’ Forecasting
2021-01-01 Sangiorgio, M.; Dercole, F.; Guariso, G.
Deep Learning in Multi-step Forecasting of Chaotic Dynamics
2022-01-01 Sangiorgio, M.
Deep Learning in Multi-step Prediction of Chaotic Dynamics: From Deterministic Models to Real-World Systems
2021-01-01 Sangiorgio, M.; Dercole, F.; Guariso, G.
Deep neural network adaptation to different environmental contexts: A case study of ozone forecast
2023-01-01 Sangiorgio, M.; Guariso, G.
Detection of Arctic rivers streamflow drivers through automatic feature selection
2023-01-01 Zeno, M.; Sangiorgio, M.; Castelletti, A.
Forecasting Convective Storms Trajectory and Intensity by Neural Networks
2024-01-01 Borghi, Niccolò; Guariso, Giorgio; Sangiorgio, Matteo
Forecasting of noisy chaotic systems with deep neural networks
2021-01-01 Sangiorgio, M.; Dercole, F.; Guariso, G.
Global sustainable irrigation expansion potential under climate change
2020-01-01 Rosa, L.; Beltran, A.; Sangiorgio, M.; Chiarelli, D. D.; Rulli, M. C.; D'Odorico, P.; Fung, I. Y.