Tag: SHAP

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 ...

Researchers in Qingdao developed an interpretable XGBoost model that distinguishes gastric cancer from intestinal metaplasia in patients with psychological symptoms ...