Chia Huey Ooi
According to our database1, Chia Huey Ooi authored at least 13 papers between 2003 and 2009.
Legend:Book In proceedings Article PhD thesis Other
Multiclass Molecular Classification.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets.
Proceedings of the Pattern Recognition in Bioinformatics, 2008
Differential prioritization in feature selection and classifier aggregation for multiclass microarray datasets.
Data Min. Knowl. Discov., 2007
Characteristics of predictor sets found using differential prioritization.
Algorithms for Molecular Biology, 2007
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data.
BMC Bioinformatics, 2006
Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006
OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets.
Proceedings of the Advances in Data Mining, 2006
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005
A Comparative Study of Two Novel Predictor Set Scoring Methods.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005
The Role of Feature Redundancy in tumor Classification.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005
Analysis of Large-Scale mRNA Expression Data Sets by Genetic Algorithms.
Proceedings of the Artificial Intelligence Methods And Tools For Systems Biology, 2004
Genetic algorithms applied to multi-class prediction for the analysis of gene expression data.