Using statistical learning algorithms in regional landslide susceptibility zonation with limited landslide field data

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

A small-scale landslide susceptibility assessment for the territory of Western Carpathians

(2013) Juraj Holec et al.   NATURAL HAZARDS

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data

(2011) Roman M. Balabin et al.   ANALYST

A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey

(2011) A. Yalcin et al.   CATENA

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

Utilization of a least square support vector machine (LSSVM) for slope stability analysis

(2011) P. Samui et al.   Scientia Iranica

Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia

(2010) Biswajeet Pradhan   ADVANCES IN SPACE RESEARCH

Landslide Susceptibility Zonation through ratings derived from Artificial Neural Network

(2010) Shivani Chauhan et al.   International Journal of Applied Earth Observation and Geoinformation

GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey)

(2009) Işık Yilmaz et al.   Bulletin of Engineering Geology and the Environment

Techniques for evaluating the performance of landslide susceptibility models

(2009) Paolo Frattini et al.   ENGINEERING GEOLOGY

The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks

(2009) Işık Yilmaz   Environmental Earth Sciences

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine

(2009) Işık Yilmaz   Environmental Earth Sciences

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

Optimal landslide susceptibility zonation based on multiple forecasts

(2009) Mauro Rossi et al.   GEOMORPHOLOGY

GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

(2009) Shi-Biao Bai et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)

(2008) Işık Yilmaz   COMPUTERS & GEOSCIENCES

Applicability of landslide susceptibility and hazard zoning at different scales

(2008) Leonardo Cascini   ENGINEERING GEOLOGY

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

(2008) H.A. Nefeslioglu et al.   ENGINEERING GEOLOGY

Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning

(2008) Robin Fell et al.   ENGINEERING GEOLOGY

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY