A tabular foundation model generates realistic landslide data matching observed distributions and dependencies across 20 inventories, addressing sparsity and imbalance for improved susceptibility modeling.
Exploring the effect of absence selection on landslide susceptibility models: a case study in sicily, italy
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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.