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)

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 (CHItaly, 2023)

Multivariate Time Series Evapotranspiration Forecasting using Machine Learning Techniques. - Chalachew Muluken Liyew; Rosa Meo; Elvira Di Nardo; Stefano Ferraris (SAC, 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, 2023)

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 (AI4CC-IPS-RCRA-SPIRIT@AI*IA, 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)

A 3D-1D Virtual Element Method for Modeling Root Water Uptake. - Stefano Berrone; Stefano Ferraris; Denise Grappein; Gioana Teora; Fabio Vicini (CoRR, 2024)

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)

A review of feature selection methods for actual evapotranspiration prediction. - Chalachew Muluken Liyew; Stefano Ferraris; Elvira Di Nardo; Rosa Meo (Artif. Intell. Rev., 2025)