Search alternatives:
significant proportion » significant reduction (Expand Search)
proportion decrease » proportional decrease (Expand Search), proportion increases (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant proportion » significant reduction (Expand Search)
proportion decrease » proportional decrease (Expand Search), proportion increases (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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MIT dataset expansion quantities and Proportions.
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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Intra- and inter-day precision and accuracy.
Published 2025“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
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MIT-BIH dataset proportion analysis chart.
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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MIT-BIH expanded dataset proportion chart.
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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Box plot displaying the distributions of the deconvolution derived proportions of cell types.
Published 2024Subjects: -
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Spearman correlation of age with proportions of cell types in men, for each brain region.
Published 2024Subjects: -
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Summary map of all contacts with statistically significant SVM classifications.
Published 2024“…It illustrates which proportions are positive ranging from 0 to 1. Yellow indicates an increase in time-frequency clusters during number trials versus inter-trial intervals while blue indicates a decrease in time-frequency clusters. …”
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