Related references
Note: Only part of the references are listed.Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
Yanli Wu et al.
CATENA (2020)
Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques
Yang Li et al.
WATER (2020)
Comparative study of landslide susceptibility mapping with different recurrent neural networks
Yi Wang et al.
COMPUTERS & GEOSCIENCES (2020)
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
Guirong Wang et al.
SYMMETRY-BASEL (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)
Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models
Wei Chen et al.
APPLIED SCIENCES-BASEL (2020)
Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions
Guirong Wang et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
Wei Chen et al.
JOURNAL OF HYDROLOGY (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)
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)
Evaluation and comparison of LogitBoost Ensemble, Fisher's Linear Discriminant Analysis, logistic regression and support vector machines methods for landslide susceptibility mapping
Binh Thai Pham et al.
GEOCARTO INTERNATIONAL (2019)
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)
Optimizing landslide susceptibility mapping in the Kongtong District, NW China: comparing the subdivision criteria of factors
Ge Yan et al.
GEOCARTO INTERNATIONAL (2019)
A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment
Mousa Abedini et al.
GEOCARTO INTERNATIONAL (2019)
Predictive modeling of landslide hazards in Wen County, northwestern China based on information value, weights-of-evidence, and certainty factor
Qiqing Wang et al.
GEOMATICS NATURAL HAZARDS & RISK (2019)
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
Abolfazl Jaafari et al.
CATENA (2019)
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Binh Thai Pham et al.
CATENA (2019)
Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
Yi Wang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Landslide Susceptibility Mapping for the Muchuan County (China): A Comparison Between Bivariate Statistical Models (WoE, EBF, and IoE) and Their Ensembles with Logistic Regression
Renwei Li et al.
SYMMETRY-BASEL (2019)
Landslide susceptibility evaluating using artificial intelligence method in the Youfang district (China)
Haoyuan Hong et al.
ENVIRONMENTAL EARTH SCIENCES (2019)
GIS-Based Groundwater Potential Mapping in Khorramabad in Lorestan, Iran, using Frequency Ratio (FR) and Weights of Evidence (WoE) Models
Fatemeh Falah et al.
WATER RESOURCES (2019)
New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
Dieu Tien Bui et al.
FORESTS (2019)
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
Binh Thai Pham et al.
SUSTAINABILITY (2019)
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
Wei Chen et al.
APPLIED SCIENCES-BASEL (2019)
Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics
Romulus Costache et al.
CATENA (2019)
A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
A-Xing Zhu et al.
CATENA (2019)
GIS-based fully automatic landslide susceptibility analysis by weight-of-evidence and frequency ratio methods
Derya Dilara Kose et al.
PHYSICAL GEOGRAPHY (2019)
Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models
Wei Chen et al.
APPLIED SCIENCES-BASEL (2019)
GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam
Viet-Tien Nguyen et al.
SUSTAINABILITY (2019)
A novel hybrid model of Bagging-based Naive Bayes Trees for landslide susceptibility assessment
Binh Thai Pham et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Predicting and analyzing early wake-up associated gene expressions by integrating GWAS and eQTL studies
JiaRui Li et al.
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE (2018)
Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees
Binh Thai Pham et al.
GEOMORPHOLOGY (2018)
A Novel Classifier Based on Composite Hyper-cubes on Iterated Random Projections for Assessment of Landslide Susceptibility
Binh Thai Pham
JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA (2018)
Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models
Christos Polykretis et al.
NATURAL HAZARDS (2018)
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Khabat Khosravi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree
Xuan Luan Truong et al.
APPLIED SCIENCES-BASEL (2018)
Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping
A-Xing Zhu et al.
CATENA (2018)
Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea
Sung-Jae Park et al.
REMOTE SENSING (2018)
Landslide susceptibility modelling using different advanced decision trees methods
Binh Thai Pham et al.
CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS (2018)
Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaiveBayes Machine-Learning Algorithms
Hamid Reza Pourghasemi et al.
SUSTAINABILITY (2018)
Identification and analysis of the cleavage site in a signal peptide using SMOTE, dagging, and feature selection methods
ShaoPeng Wang et al.
MOLECULAR OMICS (2018)
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of na⟨ve bayes, multilayer perceptron neural networks, and functional trees methods
Binh Thai Pham et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2017)
Spatial data analysis and application of evidential belief functions to shallow landslide susceptibility mapping at Mt. Umyeon, Seoul, Korea
Ananta Man Singh Pradhan et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2017)
Effects of climate change on shallow landslides in a small coastal catchment in southern Italy
F. Ciervo et al.
LANDSLIDES (2017)
Relationship between landslide size and rainfall conditions in Taiwan
Chi-Wen Chen et al.
LANDSLIDES (2017)
Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods
Hamid Reza Pourghasemi et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2017)
Comparison of landslide susceptibility mapping based on statistical index, certainty factors, weights of evidence and evidential belief function models
Kai Cui et al.
GEOCARTO INTERNATIONAL (2017)
The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China
Kaixiang Zhang et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
A comparative study on the landslide susceptibility mapping using logistic regression and statistical index models
Zhiyong Wu et al.
ARABIAN JOURNAL OF GEOSCIENCES (2017)
Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
Binh Thai Pham et al.
CATENA (2017)
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)
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
Dieu Tien Bui et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)
Iman Nasiri Aghdam et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
Hamid Reza Pourghasemi et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Application of analytic hierarchy process model for landslide susceptibility mapping in the Gangu County, Gansu Province, China
Yanli Wu et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam
Dieu Tien Bui et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2016)
Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS
Binh Thai Pham et al.
NATURAL HAZARDS (2016)
Problems with Landslide Stabilization of Dukat in the Road Vlora - Saranda
Luljeta Bozo et al.
ADVANCES IN TRANSPORTATION GEOTECHNICS III (2016)
A new hybrid model using step-wise weight assessment ratio analysis (SWAM) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran
Alireza Dehnavi et al.
CATENA (2015)
Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea
Moung-Jin Lee et al.
ENVIRONMENTAL EARTH SCIENCES (2015)
An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan
Jie Dou et al.
NATURAL HAZARDS (2015)
Neighborhood Guided Smoothed Emphasis for Real Adaboost Ensembles
Anas Ahachad et al.
NEURAL PROCESSING LETTERS (2015)
Parameterized AdaBoost: Introducing a Parameter to Speed Up the Training of Real AdaBoost
Shuqiong Wu et al.
IEEE SIGNAL PROCESSING LETTERS (2014)
GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran
A. Jaafari et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (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)
A Novel Multi-view Face Detection Method Based on Improved Real Adaboost Algorithm
Wenkai Xu et al.
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS (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)
Assessing landslide vulnerability from soil characteristics-a GIS-based analysis
L. P. Sharma et al.
ARABIAN JOURNAL OF GEOSCIENCES (2012)
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm
A. Akgun et al.
COMPUTERS & GEOSCIENCES (2012)
Rainfall-induced landslide susceptibility zonation of Puerto Rico
Chiara Lepore 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)
A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at Izmir, Turkey
Aykut Akgun
LANDSLIDES (2012)
Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling
Biswajeet Pradhan
ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2011)
Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis
Aykut Akgun et al.
ENVIRONMENTAL EARTH SCIENCES (2010)
Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey)
Isik Yilmaz
COMPUTERS & GEOSCIENCES (2009)
Comparing landslide inventory maps
Mirco Galli et al.
GEOMORPHOLOGY (2008)
Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence
Ranjan Kumar Dahal et al.
GEOMORPHOLOGY (2008)
Soil moisture storage and hillslope stability
A. Talebi et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2007)
Susceptibility assessments of shallow earthflows triggered by heavy rainfall at three catchments by logistic regression analyses
T Can et al.
GEOMORPHOLOGY (2005)
The influence of the North Atlantic Oscillation on rainfall triggering of landslides near Lisbon
R Trigo et al.
NATURAL HAZARDS (2005)
The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
L Ayalew et al.
GEOMORPHOLOGY (2005)
Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry
J McKean et al.
GEOMORPHOLOGY (2004)
Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey)
M Ercanoglu et al.
ENGINEERING GEOLOGY (2004)
Landslide risk assessment and management: an overview
FC Dai et al.
ENGINEERING GEOLOGY (2002)
Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong
FC Dai et al.
ENVIRONMENTAL GEOLOGY (2001)
Share Paper
