Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest

A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China

(2020) Yumiao Wang et al.   CATENA

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm

(2020) Deliang Sun et al.   GEOMORPHOLOGY

Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China)

(2020) Yue Wang et al.   International Journal of Environmental Research and Public Health

GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China

(2019) Yu Zhao 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

Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes

(2019) Eduardo C. Garrido-Merchán et al.   NEUROCOMPUTING

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods

(2018) Jung-Hyun Lee et al.   GEOMORPHOLOGY

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

A Comparative Assessment of Canonical Correlation Forest, Random Forest, Rotation Forest and Logistic Regression Methods for Landslide Susceptibility Mapping

(2018) Emrehan Kutlug Sahin et al.   Geocarto International

Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

(2016) Haoyuan Hong et al.   GEOMORPHOLOGY

Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model

(2016) Haydar Y. Hussin et al.   GEOMORPHOLOGY

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

(2016) Paraskevas Tsangaratos et al.   Landslides

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Quantitative assessment of landslide susceptibility along the Xianshuihe fault zone, Tibetan Plateau, China

(2015) Changbao Guo et al.   GEOMORPHOLOGY

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

GIS-based landslide susceptibility zonation using bivariate statistical and expert approaches in the city of Constantine (Northeast Algeria)

(2014) Hamid Bourenane et al.   Bulletin of Engineering Geology and the Environment

Super-parameter selection for Gaussian-Kernel SVM based on outlier-resisting

(2014) Xuesong Wang et al.   MEASUREMENT

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