A tabular foundation model generates realistic landslide data matching observed distributions and dependencies across 20 inventories, addressing sparsity and imbalance for improved susceptibility modeling.
Learning from class-imbalanced data: review of methods and applications
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Accurate and Robust Generative Approach for Overcoming Data Sparsity and Imbalance in Landslide Modeling with A Tabular Foundation Model
A tabular foundation model generates realistic landslide data matching observed distributions and dependencies across 20 inventories, addressing sparsity and imbalance for improved susceptibility modeling.