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Wenjia Wang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Graeme Richards, Karl J. Brazier, Wenjia Wang
    A Fast Wrapper Method for Feature Subset Selection. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2005, pp:54-59 [Conf]
  2. Shun Bian, Wenjia Wang
    Improving Classification for Microarray Data Sets by Constructing Synthetic Data. [Citation Graph (0, 0)][DBLP]
    CIS (1), 2005, pp:809-814 [Conf]
  3. Graeme Richards, Karl J. Brazier, Wenjia Wang
    The Definition and Estimation of Feature Salience in Databases. [Citation Graph (0, 0)][DBLP]
    Databases and Applications, 2005, pp:7-12 [Conf]
  4. Wenjia Wang, Derek Partridge, Sarah Rae
    Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1998, pp:317-321 [Conf]
  5. Derek Partridge, Wenjia Wang, Phillis Jones
    Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise. [Citation Graph (0, 0)][DBLP]
    ICAPR, 2001, pp:196-201 [Conf]
  6. Karl J. Brazier, Graeme Richards, Wenjia Wang
    Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:333-338 [Conf]
  7. Wenjia Wang
    Quantifying Relevance of Input Features. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:588-594 [Conf]
  8. Reda Younsi, Wenjia Wang
    A New Artificial Immune System Algorithm for Clustering. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:58-64 [Conf]
  9. Wenjia Wang, Phillis Jones, Derek Partridge
    Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:240-249 [Conf]
  10. Graeme Richards, Karl J. Brazier, Wenjia Wang
    Feature salience definition and estimation and its use in feature subset selection. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:1, pp:3-21 [Journal]
  11. Wenjia Wang, Phillis Jones, Derek Partridge
    Assessing the Impact of Input Features in a Feedforward Neural Network. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2000, v:9, n:2, pp:101-112 [Journal]
  12. Wenjia Wang, Phillis Jones, Derek Partridge
    A Comparative Study of Feature-Salience Ranking Techniques. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:7, pp:1603-1623 [Journal]
  13. Shun Bian, Wenjia Wang
    On diversity and accuracy of homogeneous and heterogeneous ensembles. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2007, v:4, n:2, pp:103-128 [Journal]

  14. A Hybrid Method of Multidimensional Scaling and Clustering for Determining Genetic Influence on Phenotypes. [Citation Graph (, )][DBLP]


  15. Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis. [Citation Graph (, )][DBLP]


  16. Investigations on the Characteristics of Random Decision Tree Ensembles. [Citation Graph (, )][DBLP]


  17. Investigation on Diversity in Homogeneous and Heterogeneous Ensembles. [Citation Graph (, )][DBLP]


  18. Relationship between depth of decision trees and boosting performance. [Citation Graph (, )][DBLP]


  19. Some fundamental issues in ensemble methods. [Citation Graph (, )][DBLP]


  20. Boosting for feature selection for microarray data analysis. [Citation Graph (, )][DBLP]


  21. Novel position-coded methods for mining web access patterns. [Citation Graph (, )][DBLP]


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