Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
Authors
Keywords
-
Journal
Journal of the Indian Society of Remote Sensing
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-07-07
DOI
10.1007/s12524-018-0791-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Enhancing the accuracy of rainfall-induced landslide prediction along mountain roads with a GIS-based random forest classifier
- (2018) Viet-Hung Dang et al. Bulletin of Engineering Geology and the Environment
- 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
- Bagging based Support Vector Machines for spatial prediction of landslides
- (2018) Binh Thai Pham et al. Environmental Earth Sciences
- Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam
- (2018) Nhat-Duc Hoang et al. NATURAL HAZARDS
- Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
- (2017) Ataollah Shirzadi et al. Environmental Earth Sciences
- Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam)
- (2017) Quoc Anh Gian et al. Geomatics Natural Hazards & Risk
- Attribute weighting for averaged one-dependence estimators
- (2016) Zhong-Liang Xiang et al. APPLIED INTELLIGENCE
- 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
- 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
- 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
- Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS
- (2016) Binh Thai Pham et al. NATURAL HAZARDS
- A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS
- (2016) Binh Thai Pham et al. Geomatics Natural Hazards & Risk
- Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)
- (2016) Haoyuan Hong et al. Geomatics Natural Hazards & Risk
- 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
- GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran
- (2014) A. Jaafari et al. International Journal of Environmental Science and Technology
- Modeling and Testing Landslide Hazard Using Decision Tree
- (2014) Mutasem Sh. Alkhasawneh et al. Journal of Applied Mathematics
- Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
- (2013) Mohammad Zare et al. Arabian Journal of Geosciences
- An assessment of the effectiveness of a rotation forest ensemble for land-use and land-cover mapping
- (2013) Taskin Kavzoglu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran
- (2013) HAMID REZA POURGHASEMI et al. Journal of Earth System Science
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
- (2013) Taskin Kavzoglu et al. Landslides
- Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China
- (2012) Chong Xu et al. COMPUTERS & GEOSCIENCES
- 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
- Characterising performance of environmental models
- (2012) Neil D. Bennett et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
- (2012) Levent Koc et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
- (2012) Dieu Tien Bui et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- 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
- Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS
- (2011) Jaewon Choi et al. ENGINEERING GEOLOGY
- Comparison of GIS-based gullying susceptibility mapping using bivariate and multivariate statistics: Northern Calabria, South Italy
- (2011) Federica Lucà et al. GEOMORPHOLOGY
- Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy
- (2011) P.M. Atkinson et al. GEOMORPHOLOGY
- A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey
- (2011) Aykut Akgun Landslides
- Landslide susceptibility mapping in Injae, Korea, using a decision tree
- (2010) Young-Kwang Yeon et al. ENGINEERING GEOLOGY
- GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China
- (2010) Shibiao Bai 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
- Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- (2010) H. A. Nefeslioglu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)
- (2008) Işık Yilmaz COMPUTERS & GEOSCIENCES
- An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
- (2008) H.A. Nefeslioglu et al. ENGINEERING GEOLOGY
- Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
- (2008) X. Yao et al. GEOMORPHOLOGY
- GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region
- (2008) Ulrich Kamp et al. GEOMORPHOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now