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Volumn , Issue , 2011, Pages 1636-1639

Optimized feature subsets for epileptic seizure prediction studies

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE STUDIES; EPILEPTIC SEIZURE PREDICTION; FEATURE SELECTION METHODS; FEATURE SUBSET; RECURSIVE FEATURE ELIMINATION; SPECTRAL INFORMATION; STATISTICAL MOMENTS; UNIVARIATE;

EID: 84862259978     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090472     Document Type: Conference Paper
Times cited : (29)

References (14)
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  • 6
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    • M. D'Alessandro, R. Esteller, G. Vachtsevanos, A. Hinson, J. Echauz, and B. Litt, "Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients.," IEEE Transactions on Biomedical Engineering, vol. 50, 2003, pp. 603-615.
    • (2003) IEEE Transactions on Biomedical Engineering , vol.50 , pp. 603-615
    • D'alessandro, M.1    Esteller, R.2    Vachtsevanos, G.3    Hinson, A.4    Echauz, J.5    Litt, B.6
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    • Minimum redundancy feature selection from microarray gene expression data
    • Apr
    • C. Ding and H. Peng, "Minimum redundancy feature selection from microarray gene expression data.," Journal of bioinformatics and computational biology, vol. 3, Apr. 2005, pp. 185-205.
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    • Ding, C.1    Peng, H.2
  • 11
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    • LIBSVM: A library for support vector machines
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    • Chang, C.1    Lin, C.2
  • 14
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    • Synthetic structure of industrial plastics (Book style with paper title and editor)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.