Related references
Note: Only part of the references are listed.Landslide susceptibility assessment in complex geological settings: sensitivity to geological information and insights on its parameterization
Samuele Segoni et al.
LANDSLIDES (2020)
Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
Dieu Tien Bui et al.
CATENA (2020)
Landslide susceptibility zoning in a catchment of Zagros Mountains using fuzzy logic and GIS
Siamak Baharvand et al.
ENVIRONMENTAL EARTH SCIENCES (2020)
GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques
Xia Zhao et al.
APPLIED SCIENCES-BASEL (2020)
A landslide susceptibility map based on spatial scale segmentation: A case study at Zigui-Badong in the Three Gorges Reservoir Area, China
Xianyu Yu et al.
PLOS ONE (2020)
Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
Haoyuan Hong et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability
Mariano Di Napoli et al.
LANDSLIDES (2020)
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
Abdelaziz Merghadi et al.
EARTH-SCIENCE REVIEWS (2020)
Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong region of Darjeeling Himalaya, India
Anik Saha et al.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2020)
Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China
Zhuo Chen et al.
GEOCARTO INTERNATIONAL (2019)
A comparative assessment of information value, frequency ratio and analytical hierarchy process models for landslide susceptibility mapping of a Himalayan watershed, India
Swati Sharma et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Modification of landslide susceptibility mapping using optimized PSO-ANN technique
Hossein Moayedi et al.
ENGINEERING WITH COMPUTERS (2019)
A novel hybrid approach for landslide susceptibility mapping integrating analytical hierarchy process and normalized frequency ratio methods with the cloud model
Fei Yan et al.
GEOMORPHOLOGY (2019)
GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine
Zhang Ting-yu et al.
JOURNAL OF MOUNTAIN SCIENCE (2019)
Urban waterlogging susceptibility assessment based on a PSO-SVM method using a novel repeatedly random sampling idea to select negative samples
Xianzhe Tang et al.
JOURNAL OF HYDROLOGY (2019)
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques
Kuan-Tsung Chang et al.
SCIENTIFIC REPORTS (2019)
Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India
Jagabandhu Roy et al.
GEOENVIRONMENTAL DISASTERS (2019)
A particle-based optimization of artificial neural network for earthquake-induced landslide assessment in Ludian county, China
Wenfei Xi et al.
GEOMATICS NATURAL HAZARDS & RISK (2019)
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
Haoyuan Hong et al.
CATENA (2018)
Prediction of the landslide susceptibility: Which algorithm, which precision?
Hamid Reza Pourghasemi et al.
CATENA (2018)
A review of statistically-based landslide susceptibility models
Paola Reichenbach et al.
EARTH-SCIENCE REVIEWS (2018)
Distribution and characteristics of landslide in Loess Plateau: A case study in Shaanxi province
Jianqi Zhuang et al.
ENGINEERING GEOLOGY (2018)
Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia
Aril Aditian et al.
GEOMORPHOLOGY (2018)
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naive Bayes tree for landslide susceptibility modeling
Wei Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment
Qianqian Ba et al.
EARTH SCIENCE INFORMATICS (2018)
Framework for susceptibility analysis of layered rock slopes considering the dimensions of the mapping units and geological data resolution at various map scales
Cheng-Han Lin et al.
ENGINEERING GEOLOGY (2018)
A comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China
Wei Chen et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
Global fatal landslide occurrence from 2004 to 2016
Melanie J. Froude et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2018)
A modified frequency ratio method for landslide susceptibility assessment
Langping Li et al.
LANDSLIDES (2017)
Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China
Paraskevas Tsangaratos et al.
LANDSLIDES (2017)
Method for prediction of landslide movements based on random forests
Martin Krkac et al.
LANDSLIDES (2017)
Landslide susceptibility assessment using a novel hybrid model of statistical bivariate methods (FR and WOE) and adaptive neuro-fuzzy inference system (ANFIS) at southern Zagros Mountains in Iran
Iman Nasiri Aghdam et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
Wei Chen et al.
GEODERMA (2017)
Application of a semiquantitative and GIS-based statistical model to landslide susceptibility zonation in Kayangan Catchment, Java, Indonesia
Danang Sri Hadmoko et al.
NATURAL HAZARDS (2017)
Application of a GIS-Based Slope Unit Method for Landslide Susceptibility Mapping along the Longzi River, Southeastern Tibetan Plateau, China
Fei Wang et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2017)
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
Wei Chen et al.
CATENA (2017)
An integrative approach for regional landslide susceptibility assessment using weight of evidence method: a case study of Yom River Basin, Phrae Province, Northern Thailand
Suree Teerarungsigul et al.
LANDSLIDES (2016)
Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece
Paraskevas Tsangaratos et al.
LANDSLIDES (2016)
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
Dieu Tien Bui et al.
LANDSLIDES (2016)
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
Ahmed Mohamed Youssef et al.
LANDSLIDES (2016)
Comparison of a logistic regression and Naive Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
Paraskevas Tsangaratos et al.
CATENA (2016)
Landslide Susceptibility Mapping Using a Fuzzy Approach
Giovanni Leonardi et al.
WORLD MULTIDISCIPLINARY CIVIL ENGINEERING-ARCHITECTURE-URBAN PLANNING SYMPOSIUM 2016, WMCAUS 2016 (2016)
Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
Alessandro Trigila et al.
GEOMORPHOLOGY (2015)
Mapping of rainfall-induced landslide susceptibility in Wencheng, China, using support vector machine
Cheng Su et al.
NATURAL HAZARDS (2015)
An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan
Jie Dou et al.
NATURAL HAZARDS (2015)
Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
Himan Shahabi et al.
SCIENTIFIC REPORTS (2015)
GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method
Ning Jia et al.
NATURAL HAZARDS (2015)
A loess landslide induced by excavation and rainfall
Jun-Jie Wang et al.
LANDSLIDES (2014)
Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
Natan Micheletti et al.
MATHEMATICAL GEOSCIENCES (2014)
Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran
Hamid Reza Pourghasemi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2013)
A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
Biswajeet Pradhan
COMPUTERS & GEOSCIENCES (2013)
Probabilistic support vector machines for classification of noise affected data
Han-Xiong Li et al.
INFORMATION SCIENCES (2013)
A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey
Adnan Ozdemir et al.
JOURNAL OF ASIAN EARTH SCIENCES (2013)
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling-Narayanghat road section in Nepal Himalaya
Krishna Chandra Devkota et al.
NATURAL HAZARDS (2013)
Application of an incomplete landslide inventory, logistic regression model and its validation for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China
Chong Xu et al.
NATURAL HAZARDS (2013)
Remote Sensing for Landslide Investigations: From Research into Practice
Marco Scaioni
REMOTE SENSING (2013)
The 2010 Yushu earthquake triggered landslide hazard mapping using GIS and weight of evidence modeling
Chong Xu et al.
ENVIRONMENTAL EARTH SCIENCES (2012)
GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China
Chong Xu et al.
GEOMORPHOLOGY (2012)
Slope units-based flow susceptibility model: using validation tests to select controlling factors
E. Rotigliano et al.
NATURAL HAZARDS (2012)
Object representations at multiple scales from digital elevation models
Lucian Dragut et al.
GEOMORPHOLOGY (2011)
Assessing susceptibility to landslides: Using models to understand observed changes in slopes
Netra R. Regmi et al.
GEOMORPHOLOGY (2010)
GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China
Shi-Biao Bai et al.
GEOMORPHOLOGY (2010)
Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model
Shivani Chauhan et al.
LANDSLIDES (2010)
Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
X. Yao et al.
GEOMORPHOLOGY (2008)
Landslide hazard and risk zonation - why is it still so difficult?
C. J. van Westen et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2006)
Landslide hazard assessment in the Collazzone area, Umbria, Central Italy
F Guzzetti et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2006)
Statistical analysis of landslide susceptibility at Yongin, Korea
S Lee et al.
ENVIRONMENTAL GEOLOGY (2001)