Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China

Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran

(2020) Alireza Arabameri et al.   Remote Sensing

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

(2020) Dieu Tien Bui et al.   CATENA

Comparative study of landslide susceptibility mapping with different recurrent neural networks

(2020) Yi Wang et al.   COMPUTERS & GEOSCIENCES

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping

(2020) Zhice Fang et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Investigating the Effect of Cross-Modeling in Landslide Susceptibility Mapping

(2020) Kamila Pawluszek-Filipiak et al.   Applied Sciences-Basel

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia

(2019) Andang Suryana Soma et al.   Journal of Mountain Science

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

Using CUDA to accelerate uncertainty propagation modelling for landslide susceptibility assessment

(2019) Ionut Sandric et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features

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

A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

(2019) Faming Huang et al.   Landslides

Geohazards in the three Gorges Reservoir Area, China – Lessons learned from decades of research

(2019) Huiming Tang et al.   ENGINEERING GEOLOGY

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang 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

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

(2018) Chao Zhou et al.   COMPUTERS & GEOSCIENCES

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

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

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

Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China

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

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

(2018) Seyed Vahid Razavi Termeh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Presenting logistic regression-based landslide susceptibility results

(2018) Luigi Lombardo et al.   ENGINEERING GEOLOGY

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

(2018) Prima Kadavi et al.   Remote Sensing

Regional-scale landslide susceptibility modelling in the Cordillera Blanca, Peru—a comparison of different approaches

(2018) E. Bueechi et al.   Landslides

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

(2018) Ataollah Shirzadi et al.   SENSORS

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel hybrid approach for landslide susceptibility mapping integrating analytical hierarchy process and normalized frequency ratio methods with the cloud model

(2018) Fei Yan et al.   GEOMORPHOLOGY

RS-GIS based morphometrical and geological multi-criteria approach to the landslide susceptibility mapping in Gish River Basin, West Bengal, India

(2018) Tirthankar Basu et al.   ADVANCES IN SPACE RESEARCH

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

(2018) Binh Thai Pham et al.   CATENA

Forest PA : Constructing a decision forest by penalizing attributes used in previous trees

(2017) Md Nasim Adnan et al.   EXPERT SYSTEMS WITH APPLICATIONS

A proposed cell model for multiple-occurrence regional landslide events: Implications for landslide susceptibility mapping

(2017) M.J. Crozier   GEOMORPHOLOGY

Landslide susceptibility mapping & prediction using Support Vector Machine for Mandakini River Basin, Garhwal Himalaya, India

(2017) Deepak Kumar et al.   GEOMORPHOLOGY

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

A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS

(2017) Quang-Khanh Nguyen et al.   Sustainability

Evaluation of a combined spatial multi-criteria evaluation model and deterministic model for landslide susceptibility mapping

(2016) A.M.S. Pradhan et al.   CATENA

Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China

(2016) Chao Zhou et al.   ENGINEERING GEOLOGY

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

Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model

(2016) Haydar Y. Hussin et al.   GEOMORPHOLOGY

Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization

(2016) Dieu Tien Bui et al.   Landslides

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

(2016) Binh Thai Pham et al.   NATURAL HAZARDS

A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping

(2016) Wei Chen et al.   Geocarto International

A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China

(2016) Xianyu Yu et al.   International Journal of Environmental Research and Public Health

Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Bulletin of Engineering Geology and the Environment

Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines

(2015) Haoyuan Hong et al.   Environmental Earth Sciences

Spatial prediction of landslide susceptibility in parts of Garhwal Himalaya, India, using the weight of evidence modelling

(2015) Pardeep Kumar Guri et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map

(2015) Ioanna Ilia 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 susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Application of an advanced fuzzy logic model for landslide susceptibility analysis

(2013) Biswajeet Pradhan   International Journal of Computational Intelligence Systems

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

An Object-oriented computational framework for the simulation of variably saturated flow in soils, using a reduced complexity model

(2012) Grigorios G. Anagnostopoulos et al.   ENVIRONMENTAL MODELLING & SOFTWARE

GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran

(2012) Bakhtiar Feizizadeh et al.   International Journal of Digital Earth

GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

(2009) Shi-Biao Bai et al.   GEOMORPHOLOGY

GIS-Based and Data-Driven Bivariate Landslide-Susceptibility Mapping in the Three Gorges Area, China

(2009) Shi-Biao BAI et al.   PEDOSPHERE

Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

(2008) Cees J. van Westen et al.   ENGINEERING GEOLOGY