Search alternatives:
significant cause » significant change (Expand Search), significant changes (Expand Search), significant gap (Expand Search)
significant fold » significant force (Expand Search), significant co (Expand Search), significant body (Expand Search)
cause decrease » caused decreased (Expand Search), use decreased (Expand Search), causes increased (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
significant cause » significant change (Expand Search), significant changes (Expand Search), significant gap (Expand Search)
significant fold » significant force (Expand Search), significant co (Expand Search), significant body (Expand Search)
cause decrease » caused decreased (Expand Search), use decreased (Expand Search), causes increased (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
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PCA-CGAN K-fold experiment table.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
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PCAECG-GAN K-fold experiment table.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”