Bridging Data Gaps in Structural Fragility Modeling through Transfer Learning: Methodology and Case Studies

This paper presents a methodology-centered transfer learning framework for fragility adaptation under domain shift, class imbalance, and scarce target labels while preserving engineering interpretability and supporting decision-making under uncertainty. Four transfer learning strategies (instance-ba...