Global landslide susceptibility prediction based on the automated machine learning (AutoML) framework

Landslide susceptibility prediction (LSP) is an important step for landslide hazard and risk assessment. Automated machine learning (AutoML) has the advantages of automatically features, models, and parameters selection. In this study, we proposed an AutoML-based global LSP framework at two spatial...

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Bibliographic Details
Main Authors: Guixi Tang, Zhice Fang, Yi Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geocarto International
Subjects:
Online Access:http://dx.doi.org/10.1080/10106049.2023.2236576