Predicting and Understanding Landslide Events With Explainable AI. - Enrico Collini; Luciano Alessandro Ipsaro Palesi; Paolo Nesi; Gianni Pantaleo; Nicola Nocentini; Ascanio Rosi (IEEE Access, 2022)

Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling. - Pietro Vannocci; Samuele Segoni; Elena Benedetta Masi; Francesco Cardi; Nicola Nocentini; Ascanio Rosi; Gabriele Bicocchi; Michele D'Ambrosio; Massimiliano Nocentini; Luca Lombardi; Veronica Tofani; Nicola Casagli; et al. (Data, 2022)

Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy. - Samuele Segoni; Rajendran Shobha Ajin; Nicola Nocentini; Riccardo Fanti (Remote. Sens., 2024)