Tag: SHAP

A new study combining econometrics and machine learning finds that coal is the dominant driver of PM2.5 pollution across G7 ...

Researchers have built a unified physics-informed AI framework that couples fracture mechanics with explainable machine learning to predict corrosion-fatigue life, ...

A seven-year prospective cohort study of 2,780 Chinese adults finds that self-perceived loneliness independently predicts depression more strongly than social ...

Researchers have developed EBGT, an explainable machine learning framework that embeds geochemical constraints into gradient-boosted trees to identify ion-adsorption rare ...

Researchers have built a phishing detection framework that pairs a lightweight hybrid deep learning model with LIME and SHAP explanations ...

A 25-year satellite analysis of the China–Russia Xingkai Lake Basin reveals a 44.9 percent wetland loss, a 16.5 percent decline ...

A 24-year satellite analysis of the Beijing–Tianjin–Hebei region shows urban blue spaces shrinking and fragmenting, with population and vegetation factors ...

Researchers built an XGBoost-based surrogate model, trained on over a thousand simulated column tests, that predicts the residual hysteretic behavior ...

A machine learning study of 25 lakes in Da Nang, Vietnam, quantifies urban lake cooling with SHAP interpretability, finding the ...

A multi-modal study integrating global burden data, Mendelian randomization, and machine learning finds genetic and clinical evidence that regional fat ...