Matteo Salis

According to our database, Matteo Salis authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series.

Matteo Salis, Abdourrahmane M. Atto, Stefano Ferraris, Rosa Meo

Environ. Model. Softw., 2025

2024

Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction using Weather Image Time Series.

Matteo Salis, Abdourrahmane M. Atto, Stefano Ferraris, Rosa Meo

CoRR, 2024

Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical satellite imagery.

Gabriele Sartor, Matteo Salis, Stefano Pinardi, Ozgur Saracik, Rosa Meo

CoRR, 2024

What's Behind This Water Table Depth Forecasting? RISE Application for Spatial, Temporal, and Spatio-Temporal Explanations.

Matteo Salis, Gabriele Sartor, Marco Pellegrino, Stefano Ferraris, Abdourrahmane M. Atto, Rosa Meo

Proceedings of the International Workshop on Artificial Intelligence for Climate Change, 2024

2023

Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D'Ivoire.

Stefano Ferraris, Rosa Meo, Stefano Pinardi, Matteo Salis, Gabriele Sartor

Sensors, September, 2023