Teyfik Giray

Predicting and Explaining Economic Losses from Natural Disasters: A Post-Hoc Machine Learning and Explainable AI Approach

This study develops a post hoc machine-learning and explainable artificial intelligence framework for predicting and interpreting the economic losses associated with natural disasters using 5051 records from the EM-DAT database covering 1975–2025. To address dependence among coun...