Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest

By E. Kutlug Sahin. SN Applied Sciences, 2020

395 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/165f642f2cf0103eaf549c65a8e26714914292ed