A Novel Heterogeneous Ensemble Framework Based on Machine Learning Models for Shallow Landslide Susceptibility Mapping - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Haozhe Tang, Changming Wang, Silong An, Qingyu Wang, Chenglin Jiang. A Novel Heterogeneous Ensemble Framework Based on Machine Learning Models for Shallow Landslide Susceptibility Mapping. Remote Sensing, 15(17):4159, September 2023. [doi]

The following publications are possibly variants of this publication:

Co-seismic landslide susceptibility mapping for the Luding earthquake area based on heterogeneous ensemble machine learning modelsRui Zhang 0052, Yunjie Yang, Tianyu Wang, Anmengyun Liu, Jichao Lv, Xu He, Yin Fu, Bo Zhang 0067, Keren Dai, Guoxiang Liu 0001. digearth, 17(1), December 2024. [doi]

Machine Learning-Based Approach For Landslide Susceptibility Mapping Using Multimodal DataXianping Ma, Man-On Pun, Ming Liu, Yang Wang. igarss 2023: 5174-5177 [doi]

Pattern Recognition in Collective Cognitive Systems: Hybrid Human-Machine Learning (HHML) By Heterogeneous EnsemblesHesam T. Dashti, Adel Ardalan, Alireza F. Siahpirani, Jernej Tonejc, Ioan Vlad Uilecan, Tiago Simas, Bruno Miranda, Rita A. Ribeiro, Liya Wang, Amir H. Assadi. icai 2010: 183-188

A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide SusceptibilityYongxing Lu, Honggen Xu, Can Wang, Guanxi Yan, Zhitao Huo, Zuwu Peng, Bo Liu, Chong Xu. remotesensing, 16(19):3663, October 2024. [doi]

runs on WebDSL