Zeke S. H. Chan

15 papers A 1B 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2008 J jnl
Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data.
Appl. Soft Comput.
Zeke S. H. Chan, Ilkka Havukkala, Vishal Jain, Yingjie Hu, Nikola K. Kasabov
2007 J jnl
Bayesian learning of sparse gene regulatory networks.
Biosyst.
Zeke S. H. Chan, Lesley Collins, Nikola K. Kasabov
2006 J jnl
A two-stage methodology for gene regulatory network extraction from time-course gene expression data.
Expert Syst. Appl.
Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins
2006 J jnl
An efficient greedy K-means algorithm for global gene trajectory clustering.
Expert Syst. Appl.
Zeke S. H. Chan, Lesley Collins, Nikola K. Kasabov
2006 J jnl
Short-term ANN load forecasting from limited data using generalization learning strategies.
Neurocomputing
Zeke S. H. Chan, H. W. Ngan, Ahmad B. Rad, A. K. David, Nikola K. Kasabov
2005 J jnl
A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering.
J. Bioinform. Comput. Biol.
Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins
2005 J jnl
A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD).
Neural Process. Lett.
Zeke S. H. Chan, Nikola K. Kasabov
2005 — conf
Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination.
SGAI Conf.
Zeke S. H. Chan, Nikola K. Kasabov
2005 J jnl
Fast neural network ensemble learning via negative-correlation data correction.
IEEE Trans. Neural Networks
Zeke S. H. Chan, Nikola K. Kasabov
2005 — conf
Global EM Learning of Finite Mixture Models using the Greedy Elimination Method.
SGAI Conf.
Zeke S. H. Chan, Nikola K. Kasabov
2004 J jnl
Evolutionary Computation For On-Line And Off-Line Parameter Tuning Of Evolving Fuzzy Neural Networksc.
Int. J. Comput. Intell. Appl.
Zeke S. H. Chan, Nikola K. Kasabov
2004 B conf
Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach.
ICONIP
Nikola K. Kasabov, Zeke S. H. Chan, Vishal Jain, Igor Sidorov, Dimiter S. Dimitrov
2004 B conf
Gene trajectory clustering with a hybrid genetic algorithm and expectation maximization method.
IJCNN
Zeke S. H. Chan, Nikola K. Kasabov
2003 J jnl
Improving Bayesian Regularization of ANN via Pre-training with Early-Stopping.
Neural Process. Lett.
Zeke S. H. Chan, H. W. Ngan, Ahmad B. Rad
1999 A conf
Minimum-Allele-Reserve-Keeper (MARK): A Fast and Effective Mutation Scheme for Genetic Algorithm (GA).
GECCO
Zeke S. H. Chan, H. W. Ngan, Ahmad B. Rad