Abstract: This research addresses the challenge of multi-label emotion classification on imbalanced datasets using a BERT-based model. Emotion classification, essential for applications like social ...
Abstract: Accurate and early prediction of diabetes is critical for effective patient management. While standard Classification Forests (CF) are powerful, their symmetric loss functions can be ...
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