Jing Gao

An Interpretable XGBoost-SHAP framework for rapid regional assessment of liquefaction-induced lateral spreading in mildly sloping ground

Liquefaction-induced lateral spreading poses significant risks to infrastructure on mildly sloping ground during earthquakes. This study develops an interpretable machine learning (ML) framework for rapid regional-scale prediction of liquefaction-induced displacement using an Ext...