Landslide susceptibility index based on the integration of logistic regression and weights of evidence: A case study in Popayan, Colombia

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

(2020) Dieu Tien Bui et al.   CATENA

Landslide-susceptibility mapping in Gangwon-do, South Korea, using logistic regression and decision tree models

(2019) Prima Riza Kadavi et al.   Environmental Earth Sciences

GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China

(2019) Yu Zhao et al.   ENGINEERING GEOLOGY

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

(2019) Qingfeng He et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial prediction of shallow landslide using Bat algorithm optimized machine learning approach: A case study in Lang Son Province, Vietnam

(2019) Dieu Tien Bui et al.   ADVANCED ENGINEERING INFORMATICS

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

(2019) Yacine Achour et al.   Geoscience Frontiers

Landslide susceptibility hazard map in southwest Sweden using artificial neural network

(2019) Abbas Abbaszadeh Shahri et al.   CATENA

Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks

(2019) L. Bragagnolo et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

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

GIS-based landslide susceptibility assessment using statistical models: a case study from Souk Ahras province, N-E Algeria

(2018) Fatna Mahdadi et al.   Arabian Journal of Geosciences

Presenting logistic regression-based landslide susceptibility results

(2018) Luigi Lombardo et al.   ENGINEERING GEOLOGY

New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China

(2018) Jintao Yang et al.   GEOMORPHOLOGY

A ROC analysis-based classification method for landslide susceptibility maps

(2018) Isidro Cantarino et al.   Landslides

Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression

(2017) Gwo-Fong Lin et al.   ENGINEERING GEOLOGY

A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China

(2017) Haoyuan Hong et al.   GEOMORPHOLOGY

Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods

(2017) Wei Luo et al.   Landslides

Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size

(2016) Paraskevas Tsangaratos et al.   CATENA

A Comparative Analysis of Binary Logistic Regression and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Dobrov River Basin, Romania

(2016) Cristian V. PATRICHE et al.   PEDOSPHERE

Landslide susceptibility mapping by comparing weight of evidence, fuzzy logic, and frequency ratio methods

(2016) V. Vakhshoori et al.   Geomatics Natural Hazards & Risk

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map

(2015) Ioanna Ilia 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

A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey

(2012) Adnan Ozdemir et al.   JOURNAL OF ASIAN EARTH SCIENCES

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

The knowledge expression on debris flow potential analysis through PCA + LDA and rough sets theory: a case study of Chen-Yu-Lan watershed, Nantou, Taiwan

(2010) Tsu-Chiang Lei et al.   Environmental Earth Sciences

Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA

(2009) Netra R. Regmi 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

Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

(2008) Cees J. van Westen et al.   ENGINEERING GEOLOGY