Transferability of AI-Based Hazard Models to Data-Scarce Regions
Applying knowledge transfer and domain adaptation techniques to extend the application of machine learning–based hazard models to regions with limited data availability.
Summary
Applying knowledge transfer and domain adaptation techniques to improve the transferability of AI-based hazard models, enabling their use in regions with scarce data by leveraging information from well-studied areas
Objectives
To advance the transferability of machine learning–based hazard models through knowledge transfer and domain adaptation techniques, enabling their application in data-scarce regions and improving global risk assessment capabilities.