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maximization algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), classification algorithm (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data access » data across (Expand Search), water access (Expand Search)
maximization algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), classification algorithm (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data access » data across (Expand Search), water access (Expand Search)
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Data_Sheet_1_Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases.P...
Published 2021“…Here we attempt to use MRI-MMS to make inferences regarding brain Aβ burden at the individual subject level. As MMS data has a larger dimension than the sample size, we propose a sparse coding algorithm, Patch Analysis-based Surface Correntropy-induced Sparse-coding and Max-Pooling (PASCS-MP), to generate a low-dimensional representation of hippocampal morphometry for each individual subject. …”
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Table 1_Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study.docx
Published 2025“…</p>Results<p>Cross-validated on 32 subjects, the proposed approach achieved an accuracy of 71.9% for four-class severity classification and 87.5% for binary classification (AHI less than 15 or not).</p>Conclusion<p>These findings highlight the potential of our proposed BCG-based approach as an effective and accessible alternative for continuous OSAS monitoring.…”