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Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility.

, , , , , , , and . Remote. Sens., 12 (20): 3284 (2020)

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Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility., , , , , , , and . Remote. Sens., 12 (22): 3675 (2020)Landslide susceptibility mapping: application of novel hybridization of rotation forests (RF) and Java decision trees (J48)., , , , and . Soft Comput., 27 (22): 17387-17402 (November 2023)Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study., , , , , and . Sensors, 20 (2): 335 (2020)Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility., , , , , , , and . Remote. Sens., 12 (20): 3284 (2020)Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility., , , , , , , and . Remote. Sens., 12 (17): 2833 (2020)Flash-flood susceptibility mapping: a novel credal decision tree-based ensemble approaches., , , , , and . Earth Sci. Informatics, 16 (4): 3143-3161 (December 2023)Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment., , , , , , , and . Remote. Sens., 12 (21): 3620 (2020)Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility., , , , , , and . Remote. Sens., 12 (20): 3389 (2020)