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3. Decision tree based ensemble machine learning approaches for landslide susceptibility mapping. Issue 16 (18th August 2022)

5. Flood susceptibility mapping using an improved analytic network process with statistical models. Issue 1 (1st January 2020)

7. Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation. Issue 1 (1st January 2020)

10. Spatial prediction of shallow landslide: application of novel rotational forest-based reduced error pruning tree. Issue 1 (1st January 2021)