Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning
Author:
Funder
Dipartimento della Protezione Civile, Presidenza del Consiglio dei Ministri
European Geosciences Union
Publisher
Elsevier BV
Reference201 articles.
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3. Automatic delineation of geomorphological slope units with r. slopeunits v1. 0 and their optimization for landslide susceptibility modeling;Alvioli;Geosci. Model Dev.,2016
4. Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment;Amato;Eng. Geol.,2019
5. Earthquake-triggered landslide susceptibility in Italy by means of Artificial Neural Network;Amato;Bull. Eng. Geol. Environ.,2023
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