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Matteo Sangiorgio
Matteo Sangiorgio
Assistant Professor @EILab, DEIB, PoliMi
Verified email at polimi.it
Title
Cited by
Cited by
Year
Robustness of LSTM neural networks for multi-step forecasting of chaotic time series
M Sangiorgio, F Dercole
Chaos, Solitons & Fractals 139, 110045, 2020
1502020
Potential for sustainable irrigation expansion in a 3° C warmer climate
L Rosa, DD Chiarelli, M Sangiorgio, AA Beltran-Peņa, MC Rulli, ...
Proceedings of the National Academy of Sciences 117 (47), 29526-29534, 2020
1372020
Multi-Step Solar Irradiance Forecasting and Domain Adaptation of Deep Neural Networks
G Guariso, G Nunnari, M Sangiorgio
Energies 13 (15), 3987, 2020
362020
NN-based implicit stochastic optimization of multi-reservoir systems management
M Sangiorgio, G Guariso
Water 10 (3), 303, 2018
362018
Improved extreme rainfall events forecasting using neural networks and water vapor measures
M Sangiorgio, S Barindelli, R Biondi, E Solazzo, E Realini, G Venuti, ...
International Conference on Time Series and Forecasting-Proceedings of …, 2019
272019
Forecasting of noisy chaotic systems with deep neural networks
M Sangiorgio, F Dercole, G Guariso
Chaos, Solitons & Fractals 153, 111570, 2021
262021
Improving the Performance of Multiobjective Genetic Algorithms: An Elitism-Based Approach
G Guariso, M Sangiorgio
Information 11 (12), 587, 2020
262020
An empirical assessment of the universality of ANNs to predict oscillatory time series
F Dercole, M Sangiorgio, Y Schmirander
IFAC-PapersOnLine 53 (2), 1255-1260, 2020
172020
Multi-objective planning of building stock renovation
G Guariso, M Sangiorgio
Energy Policy 130, 101-110, 2019
172019
Deep learning in multi-step forecasting of chaotic dynamics
M Sangiorgio
Special Topics in Information Technology, 3-14, 2022
152022
A comparative study on machine learning techniques for intense convective rainfall events forecasting
M Sangiorgio, S Barindelli, R Biondi, E Solazzo, E Realini, G Venuti, ...
Theory and Applications of Time Series Analysis, 2020
132020
Performance of Implicit Stochastic Approaches to the Synthesis of Multireservoir Operating Rules
G Guariso, M Sangiorgio
Journal of Water Resources Planning and Management 146 (6), 04020034, 2020
122020
Spatio-Temporal Analysis of Intense Convective Storms Tracks in a Densely Urbanized Italian Basin
M Sangiorgio, S Barindelli
ISPRS International Journal of Geo-Information 9 (3), 183, 2020
112020
Reconstruction of long-distance bird migration routes using advanced machine learning techniques on geolocator data
M Pancerasa, M Sangiorgio, R Ambrosini, N Saino, DW Winkler, ...
Journal of the Royal Society Interface 16 (155), 20190031, 2019
112019
Integrating Economy, Energy, Air Pollution in Building Renovation Plans
G Guariso, M Sangiorgio
IFAC-PapersOnLine 51 (5), 102-107, 2018
72018
Deep Learning in Multi-step Prediction of Chaotic Dynamics: From Deterministic Models to Real-World Systems
M Sangiorgio, F Dercole, G Guariso
Springer Nature, 2021
62021
A neural approach for multi-reservoir system operation
M Sangiorgio
Politecnico di Milano, 2016
42016
Reconstructing environmental variables with missing field data via end-to-end machine learning
M Sangiorgio, S Barindelli, V Guglieri, G Venuti, G Guariso
International Conference on Engineering Applications of Neural Networks, 167-178, 2020
32020
Can advanced machine learning techniques help to reconstruct barn swallows’ long-distance migratory paths?
M Pancerasa, M Sangiorgio, DW Winkler, R Ambrosini, N Saino, ...
Artificial Intelligence International Conference Book of Abstract, 89-89, 2018
32018
Neural approaches for time series forecasting
M Sangiorgio, F Dercole, G Guariso
Deep Learning in Multi-step Prediction of Chaotic Dynamics: From …, 2022
22022
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