Predicting and Explaining Economic Losses from Natural Disasters: A Post-Hoc Machine Learning and Explainable AI Approach
The results demonstrate that event-aware validation materially strengthens the methodological reliability of post hoc disaster-loss modelling while highlighting persistent limitations in cross-domain transferability and catastrophic-loss prediction.
Tarık Talan, Teyfik Giray, Adem Korkmaz et al.
· Applied Sciences · 0 citations