Tag: SHAP

Researchers fused Sentinel-5P, MODIS, and Sentinel-2 data with XGBoost machine learning to produce 250-meter PM2.5 maps for Lahore, revealing strong ...

Researchers in cold-region China built explainable machine learning models that identify preschool children with insufficient sleep using routine activity, body-size, ...

A machine learning study of 501 households in flood-affected Noakhali and Feni, Bangladesh, identifies the key predictors of waterborne disease ...

Researchers in China have built an explainable AI framework that predicts student readiness for Industry 4.0 careers with 98.92 percent ...

Researchers used explainable machine learning to predict and interpret the compressive strength of sustainable SCM-based concrete, finding LightGBM the most ...

Researchers in Türkiye used an explainable machine learning framework combining XGBoost and SHAP to identify age and postpartum diseases as ...

A new machine-learning workflow predicts pore pressure in Jurassic carbonate reservoirs of Pakistan's Kohat Plateau without sonic logs, using calibrated ...

Researchers have built a federated, explainable VAE-LSTM framework that detects previously unseen DDoS attacks in software-defined healthcare networks with over ...

Researchers have built an interpretable machine-learning framework that predicts sovereign default as a multi-class event, identifying which creditors a government ...

A study of 319 adolescents with major depressive disorder finds that suicidal ideation is linked to distinct blood-based immune and ...