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Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG
The proposed method achieves an accuracy of 99. 62% on the artifact detection task and a 82. 79% accuracy on the 6-category eye movement classification task.
Prediction of Progression to Alzheimer's disease with Deep InfoMax
Arguably, unsupervised learning plays a crucial role in the majority of algorithms for processing brain imaging.
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