GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques

Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models

(2019) Wei Chen et al.   Applied Sciences-Basel

Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis

(2019) Wei Chen et al.   Natural Resources Research

Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

(2019) Wei Chen et al.   Geocarto International

Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

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

Ionic composition, geological signature and environmental impacts of coalbed methane produced water in China

(2019) Chen Guo et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine

(2019) Ting-yu Zhang et al.   Journal of Mountain Science

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

(2019) Wei Chen et al.   Applied Sciences-Basel

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting and analyzing early wake-up associated gene expressions by integrating GWAS and eQTL studies

(2018) JiaRui Li et al.   BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE

Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)

(2018) Wei Chen et al.   Bulletin of Engineering Geology and the Environment

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong 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

Bagging based Support Vector Machines for spatial prediction of landslides

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

Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models

(2018) Christos Polykretis et al.   NATURAL HAZARDS

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

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

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

Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster–Shafer

(2018) Mustafa Mezaal et al.   Remote Sensing

Comparison of landslide susceptibility maps using random forest and multivariate adaptive regression spline models in combination with catchment map units

(2018) Lei Chu et al.   GEOSCIENCES JOURNAL

A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   NATURAL HAZARDS

Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling

(2018) Wei Chen et al.   Bulletin of Engineering Geology and the Environment

Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods

(2018) Haoyuan Hong et al.   NATURAL HAZARDS

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

(2018) Wei Chen et al.   Applied Sciences-Basel

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

(2018) Binh Thai Pham et al.   CATENA

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

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

(2017) Haoyuan Hong et al.   GEOMORPHOLOGY

Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques

(2017) Wei Chen et al.   GEOMORPHOLOGY

Application of a semiquantitative and GIS-based statistical model to landslide susceptibility zonation in Kayangan Catchment, Java, Indonesia

(2017) Danang Sri Hadmoko et al.   NATURAL HAZARDS

Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

(2017) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility assessment using three bivariate models considering the new topo-hydrological factor: HAND

(2017) Aiding Kornejady et al.   Geocarto International

GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping

(2016) Wei Chen et al.   Arabian Journal of Geosciences

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

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

(2016) Dieu Tien Bui et al.   Environmental Earth Sciences

Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)

(2016) Iman Nasiri Aghdam et al.   Environmental Earth Sciences

GIS-based landslide susceptibility analysis using frequency ratio and evidential belief function models

(2016) Ziwen Zhang et al.   Environmental Earth Sciences

Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

(2016) Haoyuan Hong et al.   GEOMORPHOLOGY

Method for prediction of landslide movements based on random forests

(2016) Martin Krkač et al.   Landslides

A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping

(2016) Wei Chen et al.   Geocarto International

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

(2016) Haoyuan Hong et al.   Geocarto International

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

(2015) Haoyuan Hong et al.   CATENA

GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China

(2015) Wei Chen et al.   Environmental Earth Sciences

Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP)

(2015) Dimitrios Myronidis et al.   NATURAL HAZARDS

Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy)

(2015) L. Lombardo et al.   NATURAL HAZARDS

Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods

(2015) Binh Thai Pham et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan

(2015) Jie Dou et al.   PLoS One

Application of frequency ratio, statistical index, and index of entropy models and their comparison in landslide susceptibility mapping for the Baozhong Region of Baoji, China

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

Landslide susceptibility mapping using ensemble bivariate and multivariate statistical models in Fayfa area, Saudi Arabia

(2014) Ahmed M. Youssef et al.   Environmental Earth Sciences

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

(2014) A. Jaafari et al.   International Journal of Environmental Science and Technology

Strategies investigation in using artificial neural network for landslide susceptibility mapping: application to a Sicilian catchment

(2014) Elisa Arnone et al.   JOURNAL OF HYDROINFORMATICS

Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya

(2013) Amar Deep Regmi et al.   Arabian Journal of Geosciences

Recommendations for the quantitative analysis of landslide risk

(2013) J. Corominas et al.   Bulletin of Engineering Geology and the Environment

Landslide susceptibility analysis using Probabilistic Certainty Factor Approach: A case study on Tevankarai stream watershed, India

(2013) Evangelin Ramani Sujatha et al.   Journal of Earth System Science

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

(2013) Dieu Tien Bui et al.   Geomatics Natural Hazards & Risk

Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran

(2012) Hamid Reza Pourghasemi et al.   Arabian Journal of Geosciences

Application of an evidential belief function model in landslide susceptibility mapping

(2012) Omar F. Althuwaynee et al.   COMPUTERS & GEOSCIENCES

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

Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea

(2012) Soyoung Park et al.   Environmental Earth Sciences

Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models

(2012) Majid Mohammady et al.   JOURNAL OF ASIAN EARTH SCIENCES

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

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

(2012) Krishna Chandra Devkota et al.   NATURAL HAZARDS

Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

(2011) Mehmet Lütfi Süzen et al.   International Journal of Digital Earth

SVM Feature Selection Based Rotation Forest Ensemble Classifiers to Improve Computer-Aided Diagnosis of Parkinson Disease

(2011) Akin Ozcift   JOURNAL OF MEDICAL SYSTEMS

A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey

(2011) Aykut Akgun   Landslides

Landslide susceptibility assessment using the bivariate statistical analysis and the index of entropy in the Sibiciu Basin (Romania)

(2010) Mihaela Constantin et al.   Environmental Earth Sciences

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

GIS-based regional landslide susceptibility mapping: a case study in southern California

(2007) Yiping He et al.   EARTH SURFACE PROCESSES AND LANDFORMS