A novel approach to signal classification with an application to identifying the alcoholic brain
[Display omitted] •Evolving temporal pattern detectors for signal classification.•We make no assumptions regarding the spectral characteristics of the data.•The classification accuracies are comparable to the conventional techniques.•Located EEG-sensors that showed abnormal electrical behavior for t...
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Published in | Applied soft computing Vol. 43; pp. 406 - 414 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.06.2016
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Subjects | |
Online Access | Get full text |
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