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Volumn 22, Issue 2, 2005, Pages 107-118

Multidimensional pattern recognition and classification of white blood cells using support vector machines

Author keywords

Data classification; Lymphocytic leukemia; Support vector machines; White blood cells

Indexed keywords

BLOOD; CELLS; DATA ACQUISITION; LEARNING ALGORITHMS; VECTORS;

EID: 26244431764     PISSN: 09340866     EISSN: None     Source Type: Journal    
DOI: 10.1002/ppsc.200400888     Document Type: Article
Times cited : (30)

References (11)
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    • C. Reyes, M. Adjouadi, A Directional Clustering Technique for Random Data Classification. J. Cytometry, 1997, 27, 126-135.
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    • Reyes, C.1    Adjouadi, M.2
  • 4
    • 0034298494 scopus 로고    scopus 로고
    • An analytical approach to signal reconstruction using Gaussian approximations applied to randomly generated data and flow cytometric data
    • M. Adjouadi, C. Reyes, P. Vidal, A. Barreto, An Analytical Approach to Signal Reconstruction Using Gaussian Approximations Applied to Randomly Generated Data and Flow Cytometric Data, IEEE Transactions on Signal Processing, 2000, 48, 2839-2849.
    • (2000) IEEE Transactions on Signal Processing , vol.48 , pp. 2839-2849
    • Adjouadi, M.1    Reyes, C.2    Vidal, P.3    Barreto, A.4
  • 9
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, 1998, 2, 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.1
  • 10
    • 33751284876 scopus 로고    scopus 로고
    • An introduction to support vector machines and other kernel-based learning Methods
    • N. Cristianini, J. Shawe-Taylor, An Introduction to Support Vector Machines and other Kernel-Based Learning Methods. University of Cambridge Press, 2000.
    • (2000) University of Cambridge Press
    • Cristianini, N.1    Shawe-Taylor, J.2
  • 11
    • 0033916840 scopus 로고    scopus 로고
    • Receiver operating characteristic analysis for intelligent medical systems - A new approach for finding confidence intervals
    • J. Tilbury, P. Eetvelt, J. Garibaldi, J. Curnow, E. Ifeachor, Receiver Operating Characteristic Analysis for Intelligent Medical Systems - A New Approach for Finding Confidence Intervals, IEEE Transactions on Biomedical Engineering, 2000, 47, 952-963.
    • (2000) IEEE Transactions on Biomedical Engineering , vol.47 , pp. 952-963
    • Tilbury, J.1    Eetvelt, P.2    Garibaldi, J.3    Curnow, J.4    Ifeachor, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.