Performance evaluation of ensemble learning techniques for landslide susceptibility mapping at the Jinping county, Southwest China

A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility

(2020) Viet-Hung Dang et al.   Forests

Landslide Susceptibility Mapping Using the Stacking Ensemble Machine Learning Method in Lushui, Southwest China

(2020) Xudong Hu et al.   Applied Sciences-Basel

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

(2019) Dieu Tien Bui et al.   Remote Sensing

Random forest and artificial neural networks in landslide susceptibility modeling: a case study of the Fão River Basin, Southern Brazil

(2019) Guilherme Garcia de Oliveira et al.   NATURAL HAZARDS

New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed

(2019) Dieu Tien Bui et al.   Forests

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

ThermoEPred-EL: Robust bandgap predictions of chalcogenides with diamond-like structure via feature cross-based stacked ensemble learning

(2019) Xiangmeng Wang et al.   COMPUTATIONAL MATERIALS SCIENCE

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Performance evaluation for four GIS-based models purposed to predict and map landslide susceptibility: A case study at a World Heritage site in Southwest China

(2019) Yuanmei Jiao et al.   CATENA

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

(2019) Yanli Wu et al.   CATENA

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

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

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

A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment

(2018) Mousa Abedini et al.   Geocarto International

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

(2018) Prima Kadavi et al.   Remote Sensing

Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea

(2018) Sung-Jae Park et al.   Remote Sensing

A Novel Hybrid Approach of Landslide Susceptibility Modeling Using Rotation Forest Ensemble and Different Base Classifiers

(2018) Binh Thai Pham et al.   Geocarto International

Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538

(2018) Dieu Tien Bui et al.   Remote Sensing

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

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

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

Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco

(2017) Hassane Rahali   Geocarto International

Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China

(2017) Qian Wang et al.   Remote Sensing

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

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

A new hybrid ensemble credit scoring model based on classifiers consensus system approach

(2016) Maher Ala'raj et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

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

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece

(2015) Paraskevas Tsangaratos et al.   Landslides

Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio

(2015) Pece V. Gorsevski et al.   Landslides

Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping

(2015) Vahid Moosavi et al.   Landslides

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

(2015) Ahmed Mohamed Youssef et al.   Landslides

Landslide hazards mapping using uncertain Naïve Bayesian classification method

(2015) Yi-min Mao et al.   Journal of Central South University

A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping

(2014) Bakhtiar Feizizadeh et al.   COMPUTERS & GEOSCIENCES

Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models

(2014) Ahmed M. Youssef et al.   GEOSCIENCES JOURNAL

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

(2014) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district

(2014) Taskin Kavzoglu et al.   NATURAL HAZARDS

Ensemble of ground subsidence hazard maps using fuzzy logic

(2014) Inhye Park et al.   Open Geosciences

Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms

(2013) Mohammad Zare et al.   Arabian Journal of Geosciences

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

Space–time prediction of rainfall-induced shallow landslides through a combined probabilistic/deterministic approach, optimized for initial water table conditions

(2013) G. Grelle et al.   Bulletin of Engineering Geology and the Environment

Landslide susceptibility analysis with logistic regression model based on FCM sampling strategy

(2013) Liang-Jie Wang et al.   COMPUTERS & GEOSCIENCES

Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network

(2013) Mutasem Sh. Alkhasawneh et al.   Environmental Earth Sciences

Ensemble Methods: Foundations and Algorithms by Zhi-Hua Zhou

(2013) Klaus Nordhausen   INTERNATIONAL STATISTICAL REVIEW

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

GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China

(2012) Chong Xu et al.   GEOMORPHOLOGY

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

Susceptibility assessment of earthquake-induced landslides using Bayesian network: A case study in Beichuan, China

(2011) Yiquan Song et al.   COMPUTERS & GEOSCIENCES

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

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

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

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

A comparative assessment of ensemble learning for credit scoring

(2010) Gang Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

(2009) Lior Rokach   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Modelling the effect of forest cover on shallow landslides at the river basin scale

(2009) James C. Bathurst et al.   ECOLOGICAL ENGINEERING

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

(2009) Netra R. Regmi et al.   GEOMORPHOLOGY

Optimal landslide susceptibility zonation based on multiple forecasts

(2009) Mauro Rossi 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

Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence

(2008) Ranjan Kumar Dahal et al.   GEOMORPHOLOGY

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

(2008) X. Yao et al.   GEOMORPHOLOGY