Massoud Amin

Interpretable Deep Learning for Risk Representation: A Risk Model for Construction Safety

Traditional accident models in construction safety either rely heavily on expert judgment or employ black-box machine learning (ML) approaches that lack interpretability. This study proposes an interpretable deep learning framework for risk representation. A unified holistic risk variable is introduced to integrate h...