Wenyin Tang

According to our database1, Wenyin Tang authored at least 15 papers between 2005 and 2015.

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Bibliography

2015
Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems.
IEEE Trans. Knowl. Data Eng., 2015

2014
Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network.
Proceedings of the 17th International Conference on Information Fusion, 2014

2012
Adaptive Fuzzy Rule-Based Classification System Integrating Both Expert Knowledge and Data.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Recursive Mahalanobis Separability Measure for Gene Subset Selection.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Multilingual novelty detection.
Expert Syst. Appl., 2011

Target classification using knowledge-based probabilistic model.
Proceedings of the 14th International Conference on Information Fusion, 2011

Regularized linear discriminant analysis and its recursive implementation for gene subset selection.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011

2010
Evaluation of novelty metrics for sentence-level novelty mining.
Inf. Sci., 2010

Adaptable Services for Novelty Mining.
IJSSOE, 2010

Blended metrics for novel sentence mining.
Expert Syst. Appl., 2010

Classification for overlapping classes using optimized overlapping region detection and soft decision.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Sentence-Level Novelty Detection in English and Malay.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2007
Feature selection algorithm for mixed data with both nominal and continuous features.
Pattern Recognition Letters, 2007

Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

2005
Feature Selection Algorithm for Data with Both Nominal and Continuous Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005


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