Landslide Susceptibility Assessment by Ensemble-Based Machine Learning Models

Learning Models ◽

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

CATENA ◽

10.1016/j.catena.2019.104426 ◽

2020 ◽

Vol 188 ◽

pp. 104426 ◽

Cited By ~ 14

Author(s):

Dieu Tien Bui ◽

Paraskevas Tsangaratos ◽

Viet-Tien Nguyen ◽

Ngo Van Liem ◽

Phan Trong Trinh

Keyword(s):

Neural Network ◽

Machine Learning ◽

Deep Learning ◽

Prediction Performance ◽

Learning Models ◽

Conventional Machine ◽

Deep Learning Neural Network ◽

A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2021.1944330 ◽

2021 ◽

Vol 12 (1) ◽

pp. 1741-1777

Author(s):

Quoc Bao Pham ◽

Yacine Achour ◽

Sk Ajim Ali ◽

Farhana Parvin ◽

Matej Vojtek ◽

...

Keyword(s):

Machine Learning ◽

Decision Making ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping ◽

Multi Criteria Decision Making ◽

Learning Models ◽

Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping

CATENA ◽

10.1016/j.catena.2020.104580 ◽

2020 ◽

Vol 191 ◽

pp. 104580 ◽

Cited By ~ 17

Author(s):

Faming Huang ◽

Zhongshan Cao ◽

Jianfei Guo ◽

Shui-Hua Jiang ◽

Shu Li ◽

...

Keyword(s):

Machine Learning ◽

Learning Models ◽

General Statistical ◽

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

Environmental Modelling & Software ◽

10.1016/j.envsoft.2016.07.005 ◽

2016 ◽

Vol 84 ◽

pp. 240-250 ◽

Cited By ~ 197

Author(s):

Binh Thai Pham ◽

Biswajeet Pradhan ◽

Dieu Tien Bui ◽

Indra Prakash ◽

M.B. Dholakia

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Methods ◽

Machine Learning Methods

Combining class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China

Computers & Geosciences ◽

10.1016/j.cageo.2021.104966 ◽

2021 ◽

pp. 104966

Author(s):

Huijuan Zhang ◽

Yingxu Song ◽

Shiluo Xu ◽

Yueshun He ◽

Zhiwen Li ◽

...

Keyword(s):

Machine Learning ◽

Three Gorges Reservoir ◽

Landslide Susceptibility Mapping ◽

Three Gorges ◽

Learning Models ◽

The Three Gorges ◽

Weighted Algorithm ◽

Assessing landslide susceptibility using machine learning models: a comparison between ANN, ANFIS, and ANFIS-ICA

Environmental Earth Sciences ◽

10.1007/s12665-020-09294-8 ◽

2020 ◽

Vol 79 (24) ◽

Author(s):

Mehdi Sadighi ◽

Baharak Motamedvaziri ◽

Hasan Ahmadi ◽

Abolfazl Moeini

Keyword(s):

Machine Learning ◽

Learning Models ◽

Evaluation of re-sampling methods on performance of machine learning models to predict landslide susceptibility

Geocarto International ◽

10.1080/10106049.2020.1837257 ◽

2020 ◽

pp. 1-23

Author(s):

Moslem Borji Hassangavyar ◽

Hadi Eskandari Damaneh ◽

Quoc Bao Pham ◽

Nguyen Thi Thuy Linh ◽

John Tiefenbacher ◽

...

Keyword(s):

Machine Learning ◽

Sampling Methods ◽

Learning Models ◽

Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS

CATENA ◽

10.1016/j.catena.2016.09.007 ◽

2017 ◽

Vol 149 ◽

pp. 52-63 ◽

Cited By ~ 212

Author(s):

Binh Thai Pham ◽

Dieu Tien Bui ◽

Indra Prakash ◽

M.B. Dholakia

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Multilayer Perceptron ◽

Hybrid Integration ◽

Learning Ensembles

Landslide Susceptibility Prediction Using Sparse Feature Extraction and Machine Learning Models Based on GIS and Remote Sensing

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3054029 ◽

2021 ◽

pp. 1-5

Author(s):

Li Zhu ◽

Gongjian Wang ◽

Faming Huang ◽

Yan Li ◽

Wei Chen ◽

...

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Feature Extraction ◽

Learning Models ◽

Gis And Remote Sensing ◽

(Landslide susceptibility prediction using the coupled Mahalanobis distance and machine learning models (case study: Owghan watershed, Golestan province

Researches in Earth Sciences ◽

10.52547/esrj.11.2.1 ◽

2020 ◽

Vol 11 (2) ◽

pp. 1-18

Author(s):

Aiding Kornejady ◽

Majid Ownegh ◽

Hamid Reza Pourghasemi ◽

Abdolreza Bahremand ◽

Manouchehr Motamedi

Keyword(s):

Machine Learning ◽

Mahalanobis Distance ◽

Learning Models ◽

Golestan Province ◽