Comparative landslide spatial research based on various sample sizes and ratios in Penang Island, Malaysia

Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models

(2020) Zhilu Chang et al.   Remote Sensing

Optimizing ANN models with PSO for predicting short building seismic response

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

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

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

A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran

(2019) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

Bagging based Support Vector Machines for spatial prediction of landslides

(2018) Binh Thai Pham et al.   Environmental Earth Sciences

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

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

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

Monthly publication of Landslides: Journal of International Consortium on Landslides (ICL)

(2017) K. Sassa   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

Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions

(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

Landslide susceptibility zonation mapping using frequency ratio and fuzzy gamma operator models in part of NH-39, Manipur, India

(2016) Guru Balamurugan et al.   NATURAL HAZARDS

Preliminary landslide susceptibility zonation using GIS-based fuzzy logic in Vitória, Brazil

(2015) F. D. Bortoloti et al.   Environmental Earth Sciences

Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines

(2015) Haoyuan Hong et al.   Environmental Earth Sciences

Manifestation of LiDAR-Derived Parameters in the Spatial Prediction of Landslides Using Novel Ensemble Evidential Belief Functions and Support Vector Machine Models in GIS

(2015) Mustafa Neamah Jebur et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

Landslide cost modeling for transportation infrastructures: a methodological approach

(2014) Martin Klose et al.   Landslides

Analysis of the relationship of landslide occurrence with rainfall: a case study of Wudu County, China

(2013) Shibiao Bai et al.   Arabian Journal of Geosciences

Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models

(2013) Vahid Nourani et al.   NATURAL HAZARDS

Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models

(2012) Dieu Tien Bui et al.   CATENA

Global patterns of loss of life from landslides

(2012) David Petley   GEOLOGY

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

(2012) Dieu Tien Bui et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods

(2012) Gökhan Demir et al.   NATURAL HAZARDS

Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS

(2011) Jaewon Choi et al.   ENGINEERING GEOLOGY

Landslide susceptibility mapping in Injae, Korea, using a decision tree

(2010) Young-Kwang Yeon et al.   ENGINEERING GEOLOGY

Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece

(2010) D. Rozos et al.   Environmental Earth Sciences

Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches

(2010) B. Pradhan   Journal of the Indian Society of Remote Sensing

Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models

(2009) Biswajeet Pradhan et al.   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

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

(2008) X. Yao et al.   GEOMORPHOLOGY