Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree

Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine

(2017) Faming Huang et al.   ENGINEERING GEOLOGY

Comparing data-driven landslide susceptibility models based on participatory landslide inventory mapping in Purwosari area, Yogyakarta, Java

(2017) Guruh Samodra et al.   Environmental Earth Sciences

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

Validation of Spatial Prediction Models for Landslide Susceptibility Mapping by Considering Structural Similarity

(2017) Xiaolong Deng et al.   ISPRS International Journal of Geo-Information

Hybrid Neural Networks and Boosted Regression Tree Models for Predicting Roadside Particulate Matter

(2016) A. Suleiman et al.   ENVIRONMENTAL MODELING & ASSESSMENT

Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea

(2015) Moung-Jin Lee et al.   Environmental Earth Sciences

Geometrical and geotechnical characteristics of landslides in Korea under various geological conditions

(2015) Kyeong-Su Kim et al.   Journal of Mountain Science

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

The 27 July 2011 debris flows at Umyeonsan, Seoul, Korea

(2015) Sangseom Jeong et al.   Landslides

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

Landslide susceptibility analysis with logistic regression model based on FCM sampling strategy

(2013) Liang-Jie Wang et al.   COMPUTERS & GEOSCIENCES

Analysis of topographic and vegetative factors with data mining for landslide verification

(2013) Fuan Tsai et al.   ECOLOGICAL ENGINEERING

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

Landslide inventory maps: New tools for an old problem

(2012) Fausto Guzzetti et al.   EARTH-SCIENCE REVIEWS

Assessment of debris flow hazards using a Bayesian Network

(2012) Wan-jie Liang et al.   GEOMORPHOLOGY

Detection of landslides using web-based aerial photographs and landslide susceptibility mapping using geospatial analysis

(2012) Saro Lee et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy

(2012) Cristiano Ballabio et al.   Mathematical Geosciences

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

Susceptibility assessment of earthquake-induced landslides using Bayesian network: A case study in Beichuan, China

(2011) Yiquan Song et al.   COMPUTERS & GEOSCIENCES

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

Weights of evidence method for landslide susceptibility mapping. Prahova Subcarpathians, Romania

(2011) Iuliana Armaş   NATURAL HAZARDS

Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression

(2011) Dieu Tien Bui et al.   NATURAL HAZARDS

Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches

(2010) B. Pradhan   Journal of the Indian Society of Remote Sensing

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 assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling

(2009) Biswajeet Pradhan et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

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