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Machine learning approach combining CatBoost classifier with physics-based metaheuristic algorithms for efficient thyroid cancer recurrence prediction with feature optimization.
Comprehensive empirical analysis of evaluation metrics for imbalanced datasets in business applications, combining statistical methods, machine learning, and explainable AI.
An interpretable deep ensemble model for tumor detection in MRI by integrating pre-trained CNNs with a Light Gradient Boosting Machine meta-learner.
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