Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

Prediction of the landslide susceptibility: Which algorithm, which precision?

(2018) Hamid Reza Pourghasemi et al.   CATENA

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

(2018) Chao Zhou et al.   COMPUTERS & GEOSCIENCES

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

Method for Meteorological Early Warning of Precipitation-Induced Landslides Based on Deep Neural Network

(2018) Lu Huang et al.   NEURAL PROCESSING LETTERS

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Measuring human perceptions of a large-scale urban region using machine learning

(2018) Fan Zhang et al.   LANDSCAPE AND URBAN PLANNING

Susceptibility mapping of instability related to shallow mining cavities in a built-up environment

(2017) Roberta Pellicani et al.   ENGINEERING GEOLOGY

Comparative Assessment of Three Nonlinear Approaches for Landslide Susceptibility Mapping in a Coal Mine Area

(2017) Qiaomei Su et al.   ISPRS International Journal of Geo-Information

Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China

(2016) Wei Chen et al.   Environmental Earth Sciences

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

(2016) Binh Thai Pham et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Classification of biodegradable materials using QSAR modelling with uncertainty estimation§

(2016) W. F. C. Rocha et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

The risk of collapse in abandoned mine sites: the issue of data uncertainty

(2016) Laura Longoni et al.   Open Geosciences

Landslide susceptibility assessment at Wadi Jawrah Basin, Jizan region, Saudi Arabia using two bivariate models in GIS

(2015) Ahmed Mohamed Youssef et al.   GEOSCIENCES JOURNAL

Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece

(2015) Paraskevas Tsangaratos et al.   Landslides

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

(2015) Jie Dou et al.   NATURAL HAZARDS

Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China

(2014) Wei Chen et al.   Arabian Journal of Geosciences

Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)

(2013) Massimo Conforti et al.   CATENA

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (China)

(2012) Wenbo Xu et al.   NATURAL HAZARDS

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling

(2009) Biswajeet Pradhan et al.   ENVIRONMENTAL MODELLING & SOFTWARE