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Shu-Kay Ng: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shu-Kay Ng, Geoffrey J. McLachlan
    Normalized Gaussian Networks with Mixed Feature Data. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:879-882 [Conf]
  2. Shu-Kay Ng, Geoffrey J. McLachlan
    Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees. [Citation Graph (0, 0)][DBLP]
    DICTA, 2003, pp:145-154 [Conf]
  3. Shu-Kay Ng, Geoffrey J. McLachlan, Andy H. Lee
    An incremental EM-based learning approach for on-line prediction of hospital resource utilization. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:36, n:3, pp:257-267 [Journal]
  4. Shu-Kay Ng, Geoffrey J. McLachlan, Kui Wang, Liat Ben-Tovim Jones, S.-W. Ng
    A Mixture model with random-effects components for clustering correlated gene-expression profiles. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:14, pp:1745-1752 [Journal]
  5. Shu-Kay Ng, Geoffrey J. McLachlan
    Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:8, pp:1573-1589 [Journal]

  6. Ensemble Approach for the Classification of Imbalanced Data. [Citation Graph (, )][DBLP]


  7. Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data. [Citation Graph (, )][DBLP]


  8. Extension of mixture-of-experts networks for binary classification of hierarchical data. [Citation Graph (, )][DBLP]


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