Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

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

Bagging based Support Vector Machines for spatial prediction of landslides

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

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

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

(2018) Binh Thai Pham et al.   International Journal of Sediment Research

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

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

(2018) Khabat Khosravi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

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

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

(2018) Wei Chen et al.   Geocarto International

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

(2018) Dieu Tien Bui et al.   SENSORS

A comparison of statistical and deterministic methods for shallow landslide susceptibility zoning in clayey soils

(2017) Mariantonietta Ciurleo et al.   ENGINEERING GEOLOGY

A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)

(2017) Haoyuan Hong et al.   Environmental Earth Sciences

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

A novel hybrid artificial intelligence approach for flood susceptibility assessment

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

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

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

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

(2016) Dieu Tien Bui et al.   International Journal of Digital Earth

A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison

(2016) Omar F. Althuwaynee et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

A method predicting the earthquake-induced landslide risk by back analyses of past landslides and its application in the region of the Wenchuan 12/5/2008 earthquake

(2016) Baofeng Di et al.   NATURAL HAZARDS

Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS

(2016) Binh Thai Pham et al.   NATURAL HAZARDS

Investigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping

(2016) Emrehan Kutlug Sahin et al.   Geocarto International

MultiBoost with ENN-based ensemble fault diagnosis method and its application in complicated chemical process

(2016) Chong-kun Xia et al.   Journal of Central South University

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

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

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

A new–old approach for shallow landslide analysis and susceptibility zoning in fine-grained weathered soils of southern Italy

(2015) Leonardo Cascini et al.   GEOMORPHOLOGY

A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network

(2015) Liang-Jie Wang et al.   GEOSCIENCES JOURNAL

Improving Random Forest and Rotation Forest for highly imbalanced datasets

(2015) Chong Su et al.   Intelligent Data Analysis

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

(2015) Peijun Du et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Analytical and approximate expressions predicting post-failure landslide displacement using the multi-block model and energy methods

(2015) Constantine A. Stamatopoulos et al.   Landslides

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

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

Shallow landslides triggered by consecutive rainfall events at Catanzaro strait (Calabria–Southern Italy)

(2014) Luigi Borrelli et al.   Journal of Maps

Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek, South Korea

(2014) Ananta Man Singh Pradhan et al.   NATURAL HAZARDS

Sentiment classification: The contribution of ensemble learning

(2013) Gang Wang et al.   DECISION SUPPORT SYSTEMS

GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey)

(2011) Cagatay Yilmaz et al.   Environmental Earth Sciences

Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya

(2010) Chandra Prakash Poudyal et al.   Environmental Earth Sciences

A low variance error boosting algorithm

(2009) Ching-Wei Wang et al.   APPLIED INTELLIGENCE

A depth-integrated, coupled SPH model for flow-like landslides and related phenomena

(2008) M. Pastor et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Comparing landslide inventory maps

(2007) Mirco Galli et al.   GEOMORPHOLOGY

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

(2007) C. Huggel et al.   JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH