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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski