Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

(2020) Himan Shahabi et al.   Remote Sensing

Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping

(2020) Guirong Wang et al.   Symmetry-Basel

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

(2020) Viet-Ha Nhu et al.   CATENA

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

(2020) Viet-Ha Nhu et al.   Water

Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms

(2019) Kamal Taheri et al.   LAND DEGRADATION & DEVELOPMENT

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

(2019) Wei Chen et al.   Geocarto International

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms

(2019) Alireza Arabameri et al.   Journal of Mountain Science

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling

(2019) Qingfeng He et al.   Entropy

Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

(2019) Abolfazl Jaafari et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

(2019) Dieu Tien Bui et al.   SENSORS

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

(2019) Dieu Tien Bui et al.   Remote Sensing

SWPT: An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors

(2019) Omid Rahmati et al.   Geoscience Frontiers

Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

(2019) Ataollah Shirzadi et al.   CATENA

Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction

(2019) Nguyen et al.   Applied Sciences-Basel

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

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis

(2019) Binh Thai Pham et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2019) Dieu Tien Bui et al.   Forests

Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

(2019) Pham et al.   Sustainability

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

(2019) Saro Lee et al.   Applied Sciences-Basel

Predicting Slope Stability Failure through Machine Learning Paradigms

(2019) Bui et al.   ISPRS International Journal of Geo-Information

The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes

(2019) Hossein Moayedi et al.   ISPRS International Journal of Geo-Information

Hybrid computational intelligence models for groundwater potential mapping

(2019) Binh Thai Pham et al.   CATENA

Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm

(2019) Yi Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

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

Gully Head-Cut Distribution Modeling Using Machine Learning Methods—A Case Study of N.W. Iran

(2019) Alireza Arabameri et al.   Water

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

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

Territorial early warning systems for rainfall-induced landslides

(2018) Luca Piciullo et al.   EARTH-SCIENCE REVIEWS

LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process

(2018) Abolfazl Jaafari   Environmental Earth Sciences

Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures

(2018) B. Bout et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

(2018) Binh Thai Pham et al.   GEOMORPHOLOGY

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

(2018) Hossein Shafizadeh-Moghadam et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier

(2018) Binh Thai Pham et al.   Journal of the Indian Society of Remote Sensing

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

(2018) Haoyuan Hong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

(2018) Luigi Lombardo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

(2018) M. Ahmadlou et al.   Geocarto International

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

(2018) Mousa Abedini et al.   Geocarto International

Land use change modeling through an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis (case study: Arasbaran region, Iran)

(2018) Vahid Nasiri et al.   JOURNAL OF FORESTRY RESEARCH

Presenting logistic regression-based landslide susceptibility results

(2018) Luigi Lombardo et al.   ENGINEERING GEOLOGY

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

(2018) Dieu Tien Bui et al.   SENSORS

Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

(2018) Shaghayegh Miraki et al.   WATER RESOURCES MANAGEMENT

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

(2018) Prima Kadavi et al.   Remote Sensing

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

(2018) Dieu Tien Bui et al.   Remote Sensing

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

(2018) Dieu Tien Bui et al.   Water

Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran

(2018) Mohsen Alizadeh et al.   Sustainability

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

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

(2018) Ataollah Shirzadi et al.   SENSORS

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

(2018) Binh Thai Pham et al.   Geocarto International

Comparative analysis of statistical methods for landslide susceptibility mapping in the Bostanlik District, Uzbekistan

(2018) Mukhiddin Juliev et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

(2018) Ali Azareh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2018) Binh Thai Pham et al.   CATENA

Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

Mapping landslide susceptibility with frequency ratio, statistical index, and weights of evidence models: a case study in northern Iran

(2017) Samaneh Razavizadeh et al.   Environmental Earth Sciences

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model

(2017) Daniela Castro Camilo et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

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

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

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

Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

(2016) Dieu Tien Bui et al.   JOURNAL OF HYDROLOGY

Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy)

(2016) L. Lombardo et al.   NATURAL HAZARDS

A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran

(2015) Alireza Dehnavi et al.   CATENA

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

Quantitative assessment of landslide susceptibility along the Xianshuihe fault zone, Tibetan Plateau, China

(2015) Changbao Guo et al.   GEOMORPHOLOGY

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 by frequency ratio and logistic regression methods: an example from Niksar–Resadiye (Tokat, Turkey)

(2014) Gokhan Demir 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

Application of GIS based data driven evidential belief function model to predict groundwater potential zonation

(2014) Haleh Nampak 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

Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

(2013) HAMID REZA POURGHASEMI et al.   Journal of Earth System Science

A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA

(2013) Netra R. Regmi et al.   Landslides

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical 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

Using MODIS NDVI Time Series to Identify Geographic Patterns of Landslides in Vegetated Regions

(2012) Wentao Yang et al.   IEEE Geoscience and Remote Sensing Letters

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

(2011) Hyun-Joo Oh et al.   COMPUTERS & GEOSCIENCES

Seismic stability analysis of soil nail reinforced slope using kinematic approach of limit analysis

(2011) Siming He et al.   Environmental Earth Sciences

Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy

(2011) P.M. Atkinson et al.   GEOMORPHOLOGY

Receiver operating characteristic (ROC) curve for medical researchers

(2011) Rajeev Kumar et al.   INDIAN PEDIATRICS

An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter

(2010) Pece V. Gorsevski et al.   COMPUTERS & GEOSCIENCES

Information gain as a score for probabilistic forecasts

(2010) Riccardo Peirolo   METEOROLOGICAL APPLICATIONS

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

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

A review of assessing landslide frequency for hazard zoning purposes

(2008) Jordi Corominas et al.   ENGINEERING GEOLOGY

Comparing landslide inventory maps

(2007) Mirco Galli et al.   GEOMORPHOLOGY

Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)

(2007) Hakan A. Nefeslioglu et al.   GEOMORPHOLOGY