A hybrid feature-selection method combining Random Forest and XGBoost achieved competitive accuracy in classifying five-class thyroid disease within a unified ...
Researchers have developed an explainable deep learning framework that combines Monte Carlo dropout uncertainty, firefly optimization, and SHAP interpretability to ...
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