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

arXiv:2606.18567 · stat.ML, cs.LG, stat.AP, stat.ME · Submitted 2026-06-17 · Read on arXiv

Narges Saeednejad, Jamie Ellen Padgett

stat.ML, cs.LG, stat.AP, stat.ME

Submitted: 2026-06-17

Comments: 24 pages, 12 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transfer Learning — 82× in this paper · explained in 16 episodes
• Class Imbalance — 14× in this paper · explained in 3 episodes
• Domain Shift — 12× in this paper · explained in 7 episodes
• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Calibration — 10× in this paper · explained in 9 episodes
• Interpretability — 10× in this paper · explained in 15 episodes
• Uncertainty Quantification — 10× in this paper · explained in 9 episodes
• AUC — 9× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Covariate Shift — 8× in this paper · explained in 3 episodes
• F1 Score — 7× in this paper · explained in 4 episodes
• Overfitting — 7× in this paper · explained in 2 episodes
• Regularization — 7× in this paper · explained in 3 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Feature Selection — 4× in this paper · explained in 4 episodes
• Augmentation — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• First-Floor Elevation — 3× in this paper
• Bayesian Framework — 2× in this paper · explained in 3 episodes
• Composition — 2× in this paper · explained in 2 episodes
• Maximum Mean Discrepancy — 2× in this paper
• Maximum Mean Discrepancy (MMD) — 2× in this paper · explained in 3 episodes
• Surrogate Model — 2× in this paper · explained in 3 episodes
• Transferability — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Study — 1× in this paper · explained in 3 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 12 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Monte Carlo Sampling — 1× in this paper · explained in 2 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Structural Control — 1× in this paper · explained in 2 episodes
• Surrogate Models — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

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