Search alternatives:
marked decrease » marked increase (Expand Search)
set decrease » step decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
marked decrease » marked increase (Expand Search)
set decrease » step decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets.
Published 2025Subjects: -
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Classification model parameter settings.
Published 2025“…Simultaneously, we designed a two-stage conditional encoding-decoding architecture that builds category-independent feature spaces from early training stages, fundamentally breaking the feature space bias caused by the “Matthew effect” and effectively preventing majority classes from compressing minority class features during generation. …”
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PCA-CGAN model parameter settings.
Published 2025“…Simultaneously, we designed a two-stage conditional encoding-decoding architecture that builds category-independent feature spaces from early training stages, fundamentally breaking the feature space bias caused by the “Matthew effect” and effectively preventing majority classes from compressing minority class features during generation. …”
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Comprehensive evaluation of machine-learning models in the training cohort.
Published 2025Subjects: -
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Performance comparison of the machine learning models in the training cohort (n = 29,309).
Published 2025Subjects: -
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