Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China

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

(2021) Zhice Fang et al.   Remote Sensing

Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling

(2021) Mahdi Panahi et al.   CATENA

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

(2020) Dong Van Dao 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

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

(2020) Phuong Thao Thi Ngo et al.   Geoscience Frontiers

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

(2020) Husam.A.H. Al-Najjar et al.   Geoscience Frontiers

Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region

(2020) Yaning Yi et al.   CATENA

Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran

(2020) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Predicting flood susceptibility using LSTM neural networks

(2020) Zhice Fang et al.   JOURNAL OF HYDROLOGY

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

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

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

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

Harris Hawks Optimization: A Novel Swarm Intelligence Technique for Spatial Assessment of Landslide Susceptibility

(2019) Bui et al.   SENSORS

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

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

(2019) Huiming Tang et al.   ENGINEERING GEOLOGY

Susceptibility of reservoir-induced landslides and strategies for increasing the slope stability in the Three Gorges Reservoir Area: Zigui Basin as an example

(2019) Changdong Li et al.   ENGINEERING GEOLOGY

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

(2019) Maher Ibrahim Sameen et al.   CATENA

Landslide susceptibility hazard map in southwest Sweden using artificial neural network

(2019) Abbas Abbaszadeh Shahri et al.   CATENA

Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks

(2019) L. Bragagnolo et al.   ENVIRONMENTAL MODELLING & SOFTWARE

An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping

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

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

(2019) Yanli Wu et al.   CATENA

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

Prediction of the landslide susceptibility: Which algorithm, which precision?

(2018) Hamid Reza Pourghasemi 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

From landslide susceptibility to landslide frequency: A territory-wide study in Hong Kong

(2018) Florence W.Y. Ko et al.   ENGINEERING GEOLOGY

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

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

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

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

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

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

(2018) Binh Thai Pham et al.   CATENA

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

(2017) M.J. Crozier   GEOMORPHOLOGY

A new deep convolutional neural network for fast hyperspectral image classification

(2017) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping landslide susceptibility using data-driven methods

(2017) J.L. Zêzere et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size

(2016) Paraskevas Tsangaratos et al.   CATENA

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

Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression

(2016) Ismail Colkesen et al.   JOURNAL OF AFRICAN EARTH SCIENCES

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

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

(2015) Ioanna Ilia et al.   Landslides

Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping

(2015) Vahid Moosavi et al.   Landslides

Quantitative risk analysis for landslides: the case of the Three Gorges area, China

(2014) Ling Peng 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

Landslide Deformation Prediction Based on Recurrent Neural Network

(2013) Huangqiong Chen et al.   NEURAL PROCESSING LETTERS

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

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