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Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1108059
Abstract: Background K-complex detection traditionally relied on expert clinicians, which is time-consuming and onerous. Various automatic k-complex detection-based machine learning methods are presented. However, these methods always suffered from imbalanced datasets, which impede the subsequent processing…
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Keywords:
complex detection;
rusboosted tree;
detection;
model ... See more keywords