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

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 Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Analysis of remote sensing imagery for disaster assessment using deep learning: a case study of flooding event

(2019) Liping Yang et al.   SOFT COMPUTING

Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection

(2019) Yuyan Wang et al.   APPLIED SOFT COMPUTING

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

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

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

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

(2019) Faming Huang et al.   Landslides

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

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

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

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

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

Multi-hazard probability assessment and mapping in Iran

(2019) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2019) Maher Ibrahim Sameen et al.   CATENA

A comparative study of composite kernels for landslide susceptibility mapping: A case study in Yongxin County, China

(2019) Yi Wang et al.   CATENA

Landslide susceptibility hazard map in southwest Sweden using artificial neural network

(2019) Abbas Abbaszadeh Shahri et al.   CATENA

Flood susceptibility mapping using convolutional neural network frameworks

(2019) Yi Wang et al.   JOURNAL OF HYDROLOGY

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

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

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

(2018) Hamid Reza Pourghasemi et al.   CATENA

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

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

Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

(2018) Junwei Han et al.   IEEE SIGNAL PROCESSING MAGAZINE

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

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

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

Improving landslide susceptibility mapping using morphometric features in the Mawat area, Kurdistan Region, NE Iraq: Comparison of different statistical models

(2018) Arsalan Ahmed Othman et al.   GEOMORPHOLOGY

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

(2018) Mohsen Alizadeh et al.   Sustainability

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

(2018) E. Bueechi et al.   Landslides

Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway

(2018) Liming Xiao 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

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

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

(2018) Binh Thai Pham et al.   CATENA

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

(2017) Mariantonietta Ciurleo et al.   ENGINEERING GEOLOGY

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

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

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

A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM)

(2016) Arzu Erener 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

Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface

(2016) M. Alvioli et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China

(2016) Paraskevas Tsangaratos et al.   Landslides

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

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

(2015) Mahyat Shafapour Tehrany et al.   CATENA

Deep learning

(2015) Yann LeCun et al.   NATURE

An advanced process-based distributed model for the investigation of rainfall-induced landslides: The effect of process representation and boundary conditions

(2015) Grigorios G. Anagnostopoulos et al.   WATER RESOURCES RESEARCH

Generating ensembles of heterogeneous classifiers using Stacked Generalization

(2015) M. Paz Sesmero et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Evaluation and comparison of landslide susceptibility mapping methods: a case study for the Ulus district, Bartın, northern Turkey

(2014) Arif Mert Eker et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

(2013) Omar F. Althuwaynee et al.   CATENA

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

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

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

(2012) Carsten F. Dormann et al.   ECOGRAPHY

GIS techniques for regional-scale landslide susceptibility assessment: the Sicily (Italy) case study

(2012) G. Manzo et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran

(2012) Bakhtiar Feizizadeh et al.   NATURAL HAZARDS

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

(2012) Hamid Reza Pourghasemi et al.   NATURAL HAZARDS

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

A comparative assessment of ensemble learning for credit scoring

(2010) Gang Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

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