| 1 |
A comparative study for landslide susceptibility assessment using machine learning algorithms based on grid unit and slope unit
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Frontiers in Environmental Science
|
| 2 |
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
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Geocarto International
|
| 3 |
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
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Applied Sciences-Basel
|
| 4 |
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
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SCIENCE OF THE TOTAL ENVIRONMENT
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