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Eric C. C. Tsang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi
    Gene Selection Through Sensitivity Analysis of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    CompLife, 2005, pp:117-127 [Conf]
  2. Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang
    Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:851-860 [Conf]
  3. Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng
    Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:682-690 [Conf]
  4. Degang Chen, Eric C. C. Tsang
    On the Local Reduction of Information System. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:588-594 [Conf]
  5. Dong-mei Huang, Ming-hu Ha, Ya-min Li, Eric C. C. Tsang
    Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:517-527 [Conf]
  6. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
    A Covariance Matrix Based Approach to Internet Anomaly Detection. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:691-700 [Conf]
  7. Eric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee
    Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:568-577 [Conf]
  8. Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
    A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:789-796 [Conf]
  9. Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang
    Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach. [Citation Graph (0, 0)][DBLP]
    KES (3), 2005, pp:141-148 [Conf]
  10. Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang
    Support Vector Clustering for Brain Activation Detection. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2005, pp:572-579 [Conf]
  11. Degang Chen, Jiashang Jiang, Congxin Wu, Eric C. C. Tsang
    Some notes on equivalent fuzzy sets and fuzzy subgroups. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:2, pp:403-409 [Journal]
  12. Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang
    A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2001, v:1, n:4, pp:399-412 [Journal]
  13. Guoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu
    Feature Selection For Chinese Character Recognition Based On Inductive Learning. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:8, pp:1453-1471 [Journal]
  14. Eric C. C. Tsang, Xizhao Wang
    An Approach To Case-Based Maintenance: Selecting Representative Cases. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:1, pp:79-89 [Journal]
  15. Daniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang
    An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2003, v:17, n:8, pp:1483-1513 [Journal]
  16. Degang Chen, Wenxiu Zhang, Daniel S. Yeung, Eric C. C. Tsang
    Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:13, pp:1829-1848 [Journal]
  17. Daniel S. Yeung, Simon C. K. Shiu, Eric C. C. Tsang
    Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 1999, v:7, n:2, pp:137-149 [Journal]
  18. John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
    Hierarchical clustering based on ordinal consistency. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:11, pp:1913-1925 [Journal]
  19. John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
    Rough sets and ordinal reducts. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:1, pp:27-33 [Journal]
  20. Zhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee
    Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Computing. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:1, pp:1- [Journal]
  21. Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang
    Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:4, pp:375-381 [Journal]
  22. Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang
    On the generalization of fuzzy rough sets. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2005, v:13, n:3, pp:343-361 [Journal]
  23. Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung
    Tuning certainty factor and local weight of fuzzy production rules by using fuzzy neural network. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:1, pp:91-98 [Journal]
  24. Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang
    A comparative study on heuristic algorithms for generating fuzzy decision trees. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:2, pp:215-226 [Journal]
  25. Daniel S. Yeung, Eric C. C. Tsang
    A comparative study on similarity-based fuzzy reasoning methods. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1997, v:27, n:2, pp:216-227 [Journal]
  26. Daniel S. Yeung, Eric C. C. Tsang
    A multilevel weighted fuzzy reasoning algorithm for expert systems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1998, v:28, n:2, pp:149-158 [Journal]
  27. Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
    Handling interaction in fuzzy production rule reasoning. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:5, pp:1979-1987 [Journal]
  28. Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung
    Stability analysis of a discrete Hopfield neural network with delay. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2598-2602 [Journal]
  29. Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung
    Learning fuzzy rules from fuzzy samples based on rough set technique. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:20, pp:4493-4514 [Journal]
  30. Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang
    Structured large margin machines: sensitive to data distributions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:68, n:2, pp:171-200 [Journal]
  31. Defeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng
    Ellipsoidal support vector clustering for functional MRI analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:10, pp:2685-2695 [Journal]

  32. Sample selection with rough set. [Citation Graph (, )][DBLP]


  33. On the fuzzy generalization of the Dempster-Shafer theory of evidence. [Citation Graph (, )][DBLP]


  34. Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks. [Citation Graph (, )][DBLP]


  35. An approach of attributes reduction based on fuzzy TL rough sets. [Citation Graph (, )][DBLP]


  36. Neural network ensemble pruning using sensitivity measure in web applications. [Citation Graph (, )][DBLP]


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