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Sangiorgio, Matteo
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1

Transfer learning in environmental data-driven models: A st..:

Sangiorgio, Matteo ; Guariso, Giorgio
Environmental Modelling & Software.  177 (2024)  - p. 106048 , 2024
Link: https://doi.org/10.1016/..
 
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2

Forecasting Convective Storms Trajectory and Intensity by N..:

Borghi, Niccolò ; Guariso, Giorgio ; Sangiorgio, Matteo
Forecasting.  6 (2024)  2 - p. 326-342 , 2024
Link: https://doi.org/10.3390/..
 
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3

Deep Learning in Multi-step Forecasting of Chaotic Dynamics:

, In: Special Topics in Information Technology; SpringerBriefs in Applied Sciences and Technology,
Sangiorgio, Matteo - p. 3-14 , 2022
Link: https://doi.org/10.1007/..
 
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4

Basic Concepts of Chaos Theory and Nonlinear Time-Series An..:

, In: SpringerBriefs in Applied Sciences and Technology; Deep Learning in Multi-step Prediction of Chaotic Dynamics,
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - p. 11-29 , 2021
Link: https://doi.org/10.1007/..
 
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5

Forecasting of noisy chaotic systems with deep neural netwo..:

Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio
Chaos, Solitons & Fractals.  153 (2021)  - p. 111570 , 2021
Link: https://doi.org/10.1016/..
 
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6

Neural Predictors' Accuracy:

, In: SpringerBriefs in Applied Sciences and Technology; Deep Learning in Multi-step Prediction of Chaotic Dynamics,
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - p. 59-84 , 2021
Link: https://doi.org/10.1007/..
 
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7

Introduction to Chaotic Dynamics' Forecasting:

, In: SpringerBriefs in Applied Sciences and Technology; Deep Learning in Multi-step Prediction of Chaotic Dynamics,
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - p. 1-10 , 2021
Link: https://doi.org/10.1007/..
 
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8

Artificial and Real-World Chaotic Oscillators:

, In: SpringerBriefs in Applied Sciences and Technology; Deep Learning in Multi-step Prediction of Chaotic Dynamics,
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - p. 31-41 , 2021
Link: https://doi.org/10.1007/..
 
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9

Deep Learning in Multi-step Prediction of Chaotic Dynamics:.. 

PoliMI SpringerBriefs
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - 1st ed. 2021 . , 2021
Link: https://doi.org/10.1007/..
 
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10

Concluding Remarks on Chaotic Dynamics' Forecasting:

, In: SpringerBriefs in Applied Sciences and Technology; Deep Learning in Multi-step Prediction of Chaotic Dynamics,
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - p. 97-101 , 2021
Link: https://doi.org/10.1007/..
 
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11

Neural Predictors' Sensitivity and Robustness:

, In: SpringerBriefs in Applied Sciences and Technology; Deep Learning in Multi-step Prediction of Chaotic Dynamics,
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - p. 85-96 , 2021
Link: https://doi.org/10.1007/..
 
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12

Neural Approaches for Time Series Forecasting:

, In: SpringerBriefs in Applied Sciences and Technology; Deep Learning in Multi-step Prediction of Chaotic Dynamics,
Sangiorgio, Matteo ; Dercole, Fabio ; Guariso, Giorgio - p. 43-57 , 2021
Link: https://doi.org/10.1007/..
 
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13

A Comparative Study on Machine Learning Techniques for Inte..:

, In: Contributions to Statistics; Theory and Applications of Time Series Analysis,
Sangiorgio, Matteo ; Barindelli, Stefano ; Guglieri, Valerio... - p. 305-317 , 2020
Link: https://doi.org/10.1007/..
 
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14

Spatio-Temporal Analysis of Intense Convective Storms Track..:

Sangiorgio, Matteo ; Barindelli, Stefano
ISPRS International Journal of Geo-Information.  9 (2020)  3 - p. 183 , 2020
Link: https://doi.org/10.3390/..
 
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15

Potential for sustainable irrigation expansion in a 3 °C wa..:

Rosa, Lorenzo ; Chiarelli, Davide Danilo ; Sangiorgio, Matteo...
Proceedings of the National Academy of Sciences.  117 (2020)  47 - p. 29526-29534 , 2020
Link: https://doi.org/10.1073/..
 
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