Tag: SHAP

Researchers have built an interpretable 2.5D deep learning model that fuses contrast-enhanced CT features with clinical variables to reliably distinguish ...

Researchers have developed an explainable ensemble learning framework that fuses deep CNN features with handcrafted HOG and LBP descriptors to ...

Researchers at Henan University used machine learning models, led by CatBoost, to predict and validate cadmium adsorption on biochar with ...

Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating pseudo-labels on new datasets before any ...

A new framework called ESACRIF integrates survival analysis, explainable AI, counterfactual reasoning and profit-aware optimisation to transform customer churn prediction ...

Researchers at Fayoum University show that a simple averaged ensemble of machine learning models, evaluated on the OhioT1DM dataset with ...

A machine learning study of three democracy indices finds that socioeconomic context variables, including renewable energy consumption, can predict democratic ...

Researchers have built an explainable hybrid deep learning framework that predicts India's Air Quality Index with unprecedented accuracy while tolerating ...

A new XGBoost-SHAP analysis of five decades of data shows that elevation and the temporal concentration of rainfall, not total ...

A network meta-analysis of 129 randomised controlled trials combined with machine learning finds interval aerobic training and combined aerobic-resistance programmes ...