Fusta Moro, Alessandro, Salis Matteo, Zucchi Andrea, Cameletti Michela, Golini Natalia and Ignaccolo Rosaria. 2023. "Ammonia emissions and fine particulate matter: some evidence in Lombardy", ASA 2022 Data-Driven Decision Making – Book of short papers. ISBN: 979-12-215-0106-3. Genoa, Italy, 2022. DOI: 10.36253/979-12-215-0106-3.40.

Ferraris, Stefano, Rosa Meo, Stefano Pinardi, Matteo Salis, and Gabriele Sartor. 2023. "Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D’Ivoire" Sensors 23, no. 17: 7632. https://doi.org/10.3390/s23177632 

Salis, Matteo, Gabriele Sartor, Marco Pellegrino, Stefano Ferraris, Abdourrahmane M Atto, and Rosa Meo. 2024. "What’s Behind This Water Table Depth Forecasting? RISE Application for Spatial, Temporal, and Spatio-Temporal Explanations". In: Proceedings of AI4IA 2024 - AI4CC: International Workshop on Artificial Intelligence for Climate Change. vol. 3883. https://ceur-ws.org/Vol-3883/paper2_AI4CC5.pdf 

Salis, Matteo, Abdourrahmane M. Atto, Stefano Ferraris, and Rosa Meo. 2025. "Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction using Weather Image Time Series". Environmental Modelling and Software. Volume 193, 106568. https://doi.org/10.1016/j.envsoft.2025.106568 

Sartor, Gabriele, Matteo Salis, Stefano Pinardi, Ozgur Saracik, and Rosa Meo. 2025. "Deep learning tools to support deforestation monitoring in the Ivory Coast using SAR and optical satellite imagery". International Journal of Applied Earth Observation and Geoinformation, 144:104849, 2025. https://doi.org/10.1016/j.jag.2025.104849. 

Salis, Matteo, Gabriele Sartor, Marco Pellegrino, Rosa Meo, Stefano Ferraris, and Abdourrahmane M Atto. 2025. "Extending model-agnostic xai methods for regression tasks in spatio-temporal domains". In S. Džeroski, J. Levatić, G. Pio, and N. Simidjievski, editors, Discovery Science, pages 301–315. Springer Nature Switzerland, 2025. ISBN 978-3-032-05461-6. https://doi.org/10.1007/978-3-032-05461-6_20.