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class classification » based classification (Expand Search), binary classification (Expand Search)
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class classification » based classification (Expand Search), binary classification (Expand Search)
increase decrease » increased release (Expand Search)
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Classification model parameter settings.
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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Comparison of Model Five-classification Results.
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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Classification of the SASQ items in three class model.
Published 2023“…<p>Classification of the SASQ items in three class model.…”
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Class-wise performance of the classification models for categorizing nucleus.
Published 2025“…<p>Class-wise performance of the classification models for categorizing nucleus.…”
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Classification posterior probabilities of 7-class latent class analysis model.
Published 2022“…<p>Classification posterior probabilities of 7-class latent class analysis model.…”
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