Matteo Salis
Orcid: 0009-0009-2810-9992
According to our database1,
Matteo Salis authored at least 8 papers
between 2023 and 2026.
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Bibliography
2026
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations.
CoRR, March, 2026
2025
Deep Learning for Spatio-Temporal Environmental Phenomena and Application to Underground Water Resources. (Apprentissage profond pour les phénomènes environnementaux spatio-temporels et application aux ressources en eau souterraines).
PhD thesis, 2025
Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series.
Environ. Model. Softw., 2025
Deep learning tools to support deforestation monitoring in Ivory Coast using SAR and optical satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2025
Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal Domains.
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.
CoRR, 2024
What's Behind This Water Table Depth Forecasting? RISE Application for Spatial, Temporal, and Spatio-Temporal Explanations.
Proceedings of the International Workshop on Artificial Intelligence for Climate Change, 2024
2023
Sensors, September, 2023