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Vojislav Kecman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vojislav Kecman, Michael Vogt, Te Ming Huang
    On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:215-222 [Conf]
  2. Te Ming Huang, Vojislav Kecman
    Bias Term b in SVMs Again. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:441-448 [Conf]
  3. Te Ming Huang, Vojislav Kecman
    Gene Extraction for Cancer Diagnosis by Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:617-624 [Conf]
  4. Vojislav Kecman, Tiru S. Arthanari
    Comparisons of QP and LP Based Learning from Empirical Data. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2001, pp:326-332 [Conf]
  5. Vojislav Kecman, Ivana Hadzic
    Support Vectors Selection by Linear Programming. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:193-198 [Conf]
  6. Te Ming Huang, Vojislav Kecman
    Semi-supervised Learning from Unbalanced Labeled Data - An Improvement. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:802-808 [Conf]
  7. Te Ming Huang, Vojislav Kecman
    Gene extraction for cancer diagnosis by support vector machines - An improvement. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:35, n:1-2, pp:185-194 [Journal]
  8. Zhenquan Li, Vojislav Kecman, Akira Ichikawa
    Fuzzified neural network based on fuzzy number operations. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:130, n:3, pp:291-304 [Journal]
  9. Vojislav Kecman
    Comments on "discrete time neural network synthesis using input and output functions". [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:1, pp:244-245 [Journal]
  10. Steffen Leonhardt, Vojislav Kecman
    Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants. [Citation Graph (0, 0)][DBLP]
    AIME, 2007, pp:195-199 [Conf]

  11. Adaptive K-Local Hyperplane (AKLH) Classifiers on Semantic Spaces to Determine Health Consumer Webpage Metadata. [Citation Graph (, )][DBLP]


  12. Protein fold recognition with adaptive local hyperplane algorithm. [Citation Graph (, )][DBLP]


  13. Erythemato-Squamous Diseases Diagnosis by Support Vector Machines and RBF NN. [Citation Graph (, )][DBLP]


  14. Performance of the new neural network based control structure and learning algorithm. [Citation Graph (, )][DBLP]


  15. Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis. [Citation Graph (, )][DBLP]


  16. Resolution and uniqueness of estimated parameters of a model of thin filament regulation in solution. [Citation Graph (, )][DBLP]


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