Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals

Research article (Artificial Intelligence Research, 2016) · cited 25× · AI/ML
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Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals

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Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessment-of-feature-selection-and-classification-methods-for-recognizing-motor-imagery-tasks-from-electroencephalograp
MLA “Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessment-of-feature-selection-and-classification-methods-for-recognizing-motor-imagery-tasks-from-electroencephalograp.
BibTeX @misc{4ortxyz_assessment-of-feature-selection-and-classification-methods-for-recognizing-motor-imagery-tasks-from-electroencephalograp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals}}, year = {2026}, url = {https://4ort.xyz/entity/assessment-of-feature-selection-and-classification-methods-for-recognizing-motor-imagery-tasks-from-electroencephalograp}, note = {Accessed: 2026-05-24}}
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