| 1 |
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
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Geocarto International
|
| 2 |
Modeling flood susceptibility using data-driven approaches of naive Bayes tree, alternating decision tree, and random forest methods
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SCIENCE OF THE TOTAL ENVIRONMENT
|
| 3 |
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
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Applied Sciences-Basel
|
| 4 |
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and na€ ıve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
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Geomatics, Natural Hazards and Risk
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| 5 |
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
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SCIENCE OF THE TOTAL ENVIRONMENT
|