Tag: SHAP

A new analysis of Bangladesh's 2022 Demographic and Health Survey combines logistic regression with machine learning to identify the demographic ...

An interpretable machine learning framework shows that high-dose organic fertilization, especially pig manure, improves blueberry fruit quality through rhizosphere pH ...

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 ...