Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis

Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping

(2020) Guirong Wang et al.   Symmetry-Basel

Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions

(2020) Guirong Wang et al.   ISPRS International Journal of Geo-Information

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation

(2020) Xia Zhao et al.   Remote Sensing

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

(2020) Wei Chen et al.   CATENA

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

(2019) Wei Chen et al.   Geocarto International

Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping

(2019) Haoyuan Hong et al.   CATENA

Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models

(2019) Mohsen Hosseinalizadeh et al.   GEODERMA

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

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

A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches

(2019) Ting Xiao et al.   Landslides

Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques

(2019) Yang Li et al.   Water

Spatial Prediction of Landslides Using Hybrid Integration of Artificial Intelligence Algorithms with Frequency Ratio and Index of Entropy in Nanzheng County, China

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

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

(2019) Xia Zhao et al.   Applied Sciences-Basel

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

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

An improved algorithm for identifying shallow and deep-seated landslides in dense tropical forest from airborne laser scanning data

(2018) Mustafa Ridha Mezaal 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

Dynamics characteristic of red clay in a deep-seated landslide, Northwest China: An experiment study

(2018) Zelin Zhang et al.   ENGINEERING GEOLOGY

Assessing LNRF, FR, and AHP models in landslide susceptibility mapping index: a comparative study of Nojian watershed in Lorestan province, Iran

(2018) M. Abedini et al.   Environmental Earth Sciences

A Novel Classifier Based on Composite Hyper-cubes on Iterated Random Projections for Assessment of Landslide Susceptibility

(2018) Binh Thai Pham   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

Shallow landslide susceptibility assessment in granitic rocks using GIS-based statistical methods: the contribution of the weathering grade map

(2018) Luigi Borrelli et al.   Landslides

Landslide susceptibility mapping by using statistical analysis in the North Anatolian Fault Zone (NAFZ) on the northern part of Suşehri Town, Turkey

(2018) Gökhan Demir   NATURAL HAZARDS

A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

(2018) Wei Chen et al.   Geocarto International

Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree

(2018) Xuan Truong et al.   Applied Sciences-Basel

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

(2018) Ataollah Shirzadi et al.   SENSORS

Data-driven evidential belief function (EBF) model in exploring landslide susceptibility zones for the Darjeeling Himalaya, India

(2018) Subrata Mondal et al.   Geocarto International

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

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

Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)

(2018) Yingxu Song et al.   ISPRS International Journal of Geo-Information

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

(2018) Binh Thai Pham et al.   CATENA

Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa

(2018) Jean Baptiste Nsengiyumva et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Hydrological effect of vegetation against rainfall-induced landslides

(2017) Alejandro Gonzalez-Ollauri et al.   JOURNAL OF HYDROLOGY

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

Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey

(2017) Metehan Ada et al.   NATURAL HAZARDS

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

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

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 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

Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods

(2016) Hamid Reza Pourghasemi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Evaluation of landslide susceptibility mapping techniques using lidar-derived conditioning factors (Oregon case study)

(2016) Rubini Mahalingam et al.   Geomatics Natural Hazards & Risk

Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm

(2015) Taskin Kavzoglu et al.   ENGINEERING GEOLOGY

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

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

Landslide susceptibility mapping along Kolli hills Ghat road section (India) using frequency ratio, relative effect and fuzzy logic models

(2014) V. Ramesh et al.   Environmental Earth Sciences

Data Mining and Privacy of Social Network Sites’ Users: Implications of the Data Mining Problem

(2014) Yeslam Al-Saggaf et al.   SCIENCE AND ENGINEERING ETHICS

Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances

(2013) H. R. Pourghasemi et al.   NATURAL HAZARDS

Spatial databases and GIS as tools for regional landslide susceptibility modeling

(2013) Martin Klose et al.   ZEITSCHRIFT FUR GEOMORPHOLOGIE

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

A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey

(2012) Adnan Ozdemir 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

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 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

Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model

(2010) Shivani Chauhan et al.   Landslides

A spatial decision support system for extracting the core factors and thresholds for landslide susceptibility map

(2009) Shiuan Wan   ENGINEERING GEOLOGY

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

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

(2009) Netra R. Regmi et al.   GEOMORPHOLOGY

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

(2008) H.A. Nefeslioglu et al.   ENGINEERING GEOLOGY

GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations

(2007) Ali Yalcin   CATENA

Comparing landslide inventory maps

(2007) Mirco Galli et al.   GEOMORPHOLOGY