Application of potential machine learning models in landslide susceptibility assessment: A case study of Van Yen district, Yen Bai province, Vietnam
Author:
Funder
Hanoi University of Mining and Geology
National University of Civil Engineering
Publisher
Elsevier BV
Reference37 articles.
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2. Random forests;Breiman;Mach. Learn.,2001
3. Landslide susceptibility prediction mapping with advanced ensemble models: son La province, Vietnam;Bui;Nat. Hazards,2023
4. Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors;Chang;J. Rock Mech. Geotech. Eng.,2023
5. A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility;Chen;Catena,2017
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