TY  - JOUR 
AU  - Gui , Jingyun
AU  - Alejano Monge, Leandro Rafael
AU  - Yao, Miao
AU  - Zhao, Fasuo
AU  - Chen, Wei
PY  - 2023
SN  - 20724292
UR  - http://hdl.handle.net/11093/4657
AB  - This study aimed to explore and compare the application of current state-of-the-art machine learning techniques, including bagging (Bag) and rotation forest (RF), to assess landslide susceptibility with the base classifier best-first decision tree...
LA  - eng
PB  - Remote Sensing
TI  - GIS-Based landslide susceptibility modeling: a comparison between best-first decision tree and its two ensembles (BagBFT and RFBFT)
DO  - 10.3390/rs15041007
ER  -