A spatially adaptive fusion and ensemble learning workflow using early fusion, late fusion, and mixture of experts improves joint flood-landslide susceptibility mapping while capturing spatial heterogeneity.
Comparison of Logistic Regression, Information Value, and Comprehensive Evaluating Model for Landslide Susceptibility Mapping.Sustainability, 13(7):3803
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale
A spatially adaptive fusion and ensemble learning workflow using early fusion, late fusion, and mixture of experts improves joint flood-landslide susceptibility mapping while capturing spatial heterogeneity.