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Zeke S. H. Chan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Zeke S. H. Chan, H. W. Ngan, A. B. Rad
    Minimum-Allele-Reserve-Keeper (MARK): A Fast and Effective Mutation Scheme for Genetic Algorithm (GA). [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:106-113 [Conf]
  2. Nikola K. Kasabov, Zeke S. H. Chan, Vishal Jain, Igor Sidorov, Dimiter S. Dimitrov
    Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1344-1353 [Conf]
  3. Zeke S. H. Chan, Lesley Collins, Nikola K. Kasabov
    An efficient greedy K-means algorithm for global gene trajectory clustering. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:1, pp:137-141 [Journal]
  4. Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins
    A two-stage methodology for gene regulatory network extraction from time-course gene expression data. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:1, pp:59-63 [Journal]
  5. Zeke S. H. Chan, Nikola K. Kasabov
    Evolutionary Computation For On-Line And Off-Line Parameter Tuning Of Evolving Fuzzy Neural Networksc. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2004, v:4, n:3, pp:309-0 [Journal]
  6. Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins
    A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2005, v:3, n:5, pp:1227-1242 [Journal]
  7. Zeke S. H. Chan, Nikola K. Kasabov
    A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD). [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2005, v:21, n:3, pp:207-214 [Journal]
  8. Zeke S. H. Chan, H. W. Ngan, A. B. Rad
    Improving Bayesian Regularization of ANN via Pre-training with Early-Stopping. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:18, n:1, pp:29-34 [Journal]

  9. Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data. [Citation Graph (, )][DBLP]


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