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Explainable AI

SHAP-Guided Hotspot Augmentation

A targeted augmentation framework for rare-event prediction that uses explainability and local model behavior to focus synthetic data generation where it is most useful.

StatusActive research

Focus areas

  • Explainability-guided sample selection
  • Class-imbalance methodology
  • Nested and repeated evaluation strategies