Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data - Zeke S. H. Chan; Ilkka Havukkala; Vishal Jain; Yingjie Hu; Nikola K. Kasabov (Appl. Soft Comput., 2008)

Bayesian learning of sparse gene regulatory networks - Zeke S. H. Chan; Lesley Collins; Nikola K. Kasabov (Biosyst., 2007)

A two-stage methodology for gene regulatory network extraction from time-course gene expression data - Zeke S. H. Chan; Nikola K. Kasabov; Lesley Collins (Expert Syst. Appl., 2006)

An efficient greedy K-means algorithm for global gene trajectory clustering - Zeke S. H. Chan; Lesley Collins; Nikola K. Kasabov (Expert Syst. Appl., 2006)

Short-term ANN load forecasting from limited data using generalization learning strategies - Zeke S. H. Chan; H. W. Ngan; Ahmad B. Rad; A. K. David; Nikola K. Kasabov (Neurocomputing, 2006)

A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering - Zeke S. H. Chan; Nikola K. Kasabov; Lesley Collins (J. Bioinform. Comput. Biol., 2005)

A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD) - Zeke S. H. Chan; Nikola K. Kasabov (Neural Process. Lett., 2005)

Fast neural network ensemble learning via negative-correlation data correction - Zeke S. H. Chan; Nikola K. Kasabov (IEEE Trans. Neural Networks, 2005)

Global EM Learning of Finite Mixture Models using the Greedy Elimination Method - Zeke S. H. Chan; Nikola K. Kasabov (Research and Development in Intelligent Systems XXII, Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 12-14 December 2005, 2005)

Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination - Zeke S. H. Chan; Nikola K. Kasabov (Research and Development in Intelligent Systems XXII, Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 12-14 December 2005, 2005)

Evolutionary Computation For On-Line And Off-Line Parameter Tuning Of Evolving Fuzzy Neural Networksc - Zeke S. H. Chan; Nikola K. Kasabov (Int. J. Comput. Intell. Appl., 2004)

Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach - Nikola K. Kasabov; Zeke S. H. Chan; Vishal Jain; Igor Sidorov; Dimiter S. Dimitrov (Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings, 2004)

Gene trajectory clustering with a hybrid genetic algorithm and expectation maximization method - Zeke S. H. Chan; Nikola K. Kasabov (IEEE International Joint Conference on Neural Networks, IJCNN 2004, Budapest, Hungary, 22-29 July, 2004, 2004)

Improving Bayesian Regularization of ANN via Pre-training with Early-Stopping - Zeke S. H. Chan; H. W. Ngan; Ahmad B. Rad (Neural Process. Lett., 2003)

Minimum-Allele-Reserve-Keeper (MARK): A Fast and Effective Mutation Scheme for Genetic Algorithm (GA) - Zeke S. H. Chan; H. W. Ngan; Ahmad B. Rad (Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA, 1999)