Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
Authors
Keywords
-
Journal
Sustainability
Volume 11, Issue 16, Pages 4386
Publisher
MDPI AG
Online
2019-08-14
DOI
10.3390/su11164386
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms
- (2019) Kamal Taheri et al. LAND DEGRADATION & DEVELOPMENT
- Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models
- (2019) Wei Chen et al. Applied Sciences-Basel
- 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
- 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
- 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
- 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
- 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
- A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
- (2019) Dieu Tien Bui et al. SENSORS
- 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
- Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model
- (2019) Duie Tien Bui et al. Remote Sensing
- 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
- 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
- Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods
- (2019) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016)
- (2018) Hamid Reza Pourghasemi et al. Arabian Journal of Geosciences
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
- (2018) Wei Chen 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
- Regional landslide susceptibility assessment using multi-stage remote sensing data along the coastal range highway in northeastern Taiwan
- (2018) Ching-Fang Lee et al. GEOMORPHOLOGY
- 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
- Developing robust arsenic awareness prediction models using machine learning algorithms
- (2018) Sushant K. Singh et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- 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
- 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
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
- (2018) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran
- (2018) Hossein Shafizadeh-Moghadam et al. Earth Science Informatics
- A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment
- (2018) Mousa Abedini et al. Geocarto International
- Developing an Accessible Landslide Susceptibility Model Using Open-Source Resources
- (2018) Kyungjin An et al. Sustainability
- 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
- Satellite-Based Assessment of Rainfall-Triggered Landslide Hazard for Situational Awareness
- (2018) Dalia Kirschbaum et al. Earths Future
- Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches
- (2018) Omid Rahmati et al. JOURNAL OF HYDROLOGY
- 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
- Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
- (2018) Dieu Tien Bui et al. Scientific Reports
- Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
- (2018) Dieu Tien Bui 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
- 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
- Quantitative Assessment of Landslide Susceptibility Comparing Statistical Index, Index of Entropy, and Weights of Evidence in the Shangnan Area, China
- (2018) Jie Liu et al. Entropy
- Hybrid Integration Approach of Entropy with Logistic Regression and Support Vector Machine for Landslide Susceptibility Modeling
- (2018) Tingyu Zhang et al. Entropy
- 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
- Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event
- (2018) Yingying Tian et al. Geomatics Natural Hazards & Risk
- 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
- 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
- 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
- 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
- GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models
- (2017) Wei Chen et al. Geomatics Natural Hazards & Risk
- 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
- Landslide hazard mapping in the Constantine city, Northeast Algeria using frequency ratio, weighting factor, logistic regression, weights of evidence, and analytical hierarchy process methods
- (2016) Hamid Bourenane et al. Arabian Journal of Geosciences
- Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method
- (2016) Majid Shadman Roodposhti et al. Entropy
- 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
- Landslide Hazard Assessment Using Random SubSpace Fuzzy Rules Based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai Province (Viet Nam)
- (2016) Binh Thai Pham et al. Journal of the Indian Society of Remote Sensing
- 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
- Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran
- (2015) Himan Shahabi et al. Environmental Earth Sciences
- Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece
- (2015) Paraskevas Tsangaratos 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 impacts in Germany: A historical and socioeconomic perspective
- (2015) Martin Klose 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
- Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
- (2015) Himan Shahabi et al. Scientific Reports
- Spatial prediction of landslide susceptibility using a decision tree approach: a case study of the Pyeongchang area, Korea
- (2014) Inhye Park et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Landslides triggered by the June 2013 extreme rainfall event in parts of Uttarakhand state, India
- (2014) Tapas R. Martha et al. Landslides
- 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 at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models
- (2013) Himan Shahabi et al. CATENA
- 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
- Global patterns of loss of life from landslides
- (2012) David Petley GEOLOGY
- A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran
- (2012) Ataollah Shirzadi et al. NATURAL HAZARDS
- A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey
- (2011) A. Yalcin et al. CATENA
- Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India)
- (2011) Saibal Ghosh et al. GEOMORPHOLOGY
- GIS-based spatial prediction of landslide susceptibility using logistic regression model
- (2011) Seyedeh Zohreh Mousavi et al. Geomatics Natural Hazards & Risk
- Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- (2010) H. A. Nefeslioglu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- History of landslide susceptibility and a chorology of landslide-prone areas in the Western Ghats of Kerala, India
- (2008) Sekhar L. Kuriakose et al. Environmental geology.
- Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)
- (2007) Hakan A. Nefeslioglu et al. GEOMORPHOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search