Stefano Ferraris

According to our database, Stefano Ferraris authored at least 11 papers between 2015 and 2026.

Collaborative distances:

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

2026

Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations.

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

CoRR, March, 2026

A 3D-1D virtual element method for modeling root water uptake.

Stefano Berrone, Stefano Ferraris, Denise Grappein, Gioana Teora, Fabio Vicini

Comput. Math. Appl., 2026

2025

A review of feature selection methods for actual evapotranspiration prediction.

Chalachew Muluken Liyew, Stefano Ferraris, Elvira Di Nardo, Rosa Meo

Artif. Intell. Rev., October, 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

Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal Domains.

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

Proceedings of the Discovery Science - 28th International Conference, 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

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

Multivariate Time Series Evapotranspiration Forecasting using Machine Learning Techniques.

Chalachew Muluken Liyew, Rosa Meo, Elvira Di Nardo, Stefano Ferraris

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Demo: the Triangolazioni Mobile Guide for Exploring the Interconnections between Science, Art and Territory.

Liliana Ardissono, Francesca Bona, Carmelina Concilio, Ester Cravero, Stefano Ferraris, Fabio Ferrero, Angelo Geninatti Cossatin, Marco Giardino, Guido Magnano, Claudio Mattutino, Noemi Mauro

Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023

2015

An iterative particle filter approach for coupled hydro-geophysical inversion of a controlled infiltration experiment.

Gabriele Manoli, Matteo Rossi, Damiano Pasetto, Rita Deiana, Stefano Ferraris, Giorgio Cassiani, Mario Putti

J. Comput. Phys., 2015