Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces

Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces

Recent technological advances have enabled researchers to collect large amounts of electroencephalography (EEG) signals in labeled and unlabeled datasets. It is expensive and time consuming to collect labeled EEG data for use in brain-computer interface (BCI) systems, however. In this paper, a novel...

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Bibliographic Details
Main Authors:	Qingshan She, Kang Chen, Zhizeng Luo, Thinh Nguyen, Thomas Potter, Yingchun Zhang
Format:	Article
Language:	English
Published:	Hindawi Limited 2020-01-01
Series:	Computational Intelligence and Neuroscience
Online Access:	http://dx.doi.org/10.1155/2020/3287589

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