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Daniel S. Yeung: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel S. Yeung, Hank-Shun Fong
    Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:889-894 [Conf]
  2. Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen
    Radial Basis Function Network Pruning by Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:380-390 [Conf]
  3. 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]
  4. Robert W. P. Luk, Daniel S. Yeung, Qin Lu, Eric Leung, S. Y. Li, Fred Leung
    Digital library access for Chinese visually impaired. [Citation Graph (0, 0)][DBLP]
    ACM DL, 2000, pp:244-245 [Conf]
  5. Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung
    Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. [Citation Graph (0, 0)][DBLP]
    EWCBR, 2000, pp:285-296 [Conf]
  6. Wilson W. S. Ip, Korris Fu-Lai Chung, Daniel S. Yeung
    Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1997, pp:185-189 [Conf]
  7. 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]
  8. 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]
  9. Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung
    Sensitivity Analysis of Madalines to Weight Perturbation. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:822-831 [Conf]
  10. Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung
    Use of Linguistic Features in Context-Sensitive Text Classification. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:701-710 [Conf]
  11. 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]
  12. 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]
  13. Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung
    Critical Vector Learning to Construct RBF Classifiers. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:359-362 [Conf]
  14. Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung
    Improving Text Classifier Performance based on AUC. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:268-271 [Conf]
  15. Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung
    Modelling Hybrid Rule/Frame-Based Expert Systems Using Coloured Petri Nets. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:525-531 [Conf]
  16. 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]
  17. Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng
    Sensitivity Analysis of Multilayer Perceptron. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:809-818 [Conf]
  18. Allan K. Y. Wong, Daniel S. Yeung
    A Communication Layer for the Construction of Global, Transparent and Quasi-optimal Virtual Machines for Distributed Computing. [Citation Graph (0, 0)][DBLP]
    ISPAN, 1996, pp:161-167 [Conf]
  19. Daniel S. Yeung, Allan K. Y. Wong
    Automatic Software Generation in the OORHS Distributed Computing Framework. [Citation Graph (0, 0)][DBLP]
    ISPAN, 1996, pp:349-356 [Conf]
  20. 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]
  21. 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]
  22. Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete
    Quantitative study on effect of center selection to RBFNN classification performance. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3692-3697 [Conf]
  23. Xizhao Wang, Chunru Dong, Daniel S. Yeung
    A study on generalization capability of weighted fuzzy production rules with maximum entropy. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3181-3186 [Conf]
  24. Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang
    Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2001, v:17, n:2, pp:295-314 [Journal]
  25. Xizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung
    A new approach to fuzzy rule generation: fuzzy extension matrix. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:123, n:3, pp:291-306 [Journal]
  26. 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]
  27. Kei Yuen Hung, Robert W. P. Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
    Determination of Context Window Size. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Proc. Oriental Lang., 2001, v:14, n:1, pp:71-80 [Journal]
  28. Daming Shi, Chunlei Dong, Daniel S. Yeung
    Neocognitron's Parameter Tuning by Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:6, pp:497-509 [Journal]
  29. Daniel S. Yeung, Hing-Yip Chan
    A Hybrid Cognitive System Using Production Rules to Synthesize Neocognitrons. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1994, v:5, n:4, pp:345-355 [Journal]
  30. Daniel S. Yeung, Hing-Yip Chan, Kwan-Fai Cheung
    Incorporating Production Rules with Spatial Information Onto a Neocognitron Neural Network. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1994, v:5, n:2, pp:131-142 [Journal]
  31. Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung
    A genetic algorithm for solving the inverse problem of support vector machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:68, n:, pp:225-238 [Journal]
  32. Daniel S. Yeung, Raymond H. S. Fong
    A knowledge matrix representation for a rule-mapped neural network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1995, v:7, n:2, pp:123-144 [Journal]
  33. Xiaoqin Zeng, Daniel S. Yeung
    Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:825-837 [Journal]
  34. Lei Lin, Xiaolong Wang, Daniel S. Yeung
    Combining multiple classifiers based on a statistical method for handwritten Chinese character recognition. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:8, pp:1027-1040 [Journal]
  35. 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]
  36. Xiaolong Wang, Daniel S. Yeung, James N. K. Liu, Robert Wing Pong Luk, Xuan Wang
    A Hybrid Language Model Based On Statistics And Linguistic Rules. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:1, pp:109-128 [Journal]
  37. Ruifeng Xu, Daniel S. Yeung, Daming Shi
    A hybrid post-processing system for offline handwritten chinese character recognition based on a statistical language model. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:3, pp:415-428 [Journal]
  38. 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]
  39. Paul K. O. Chow, Daniel S. Yeung
    Behavioural modelling in object-oriented methodology. [Citation Graph (0, 0)][DBLP]
    Information & Software Technology, 1996, v:38, n:10, pp:657-666 [Journal]
  40. 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]
  41. 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]
  42. Kwok Cheung Lan, Kei Shiu Ho, Robert Wing Pong Luk, Daniel S. Yeung
    FNDS: a dialogue-based system for accessing digested financial news. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2005, v:78, n:2, pp:180-193 [Journal]
  43. Daniel S. Yeung, Hank-Shun Fong
    Handwritten Chinese Character Recognition by Rule-Embedded Neocognitron. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1994, v:2, n:4, pp:216-226 [Journal]
  44. Xiaoqin Zeng, Daniel S. Yeung
    A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:1, pp:183-212 [Journal]
  45. Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng
    Computation of Madalines' Sensitivity to Input and Weight Perturbations. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:11, pp:2854-2877 [Journal]
  46. Daming Shi, Daniel S. Yeung, Junbin Gao
    Sensitivity analysis applied to the construction of radial basis function networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:7, pp:951-957 [Journal]
  47. Daniel S. Yeung, Xizhao Wang
    Improving Performance of Similarity-Based Clustering by Feature Weight Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:4, pp:556-561 [Journal]
  48. Kei Yuen Hung, Robert Wing Pong Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu
    A multiple classifier approach to detect Chinese character recognition errors. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:5, pp:723-738 [Journal]
  49. 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]
  50. Daniel S. Yeung, Hank-Shun Fong
    A fuzzy substroke extractor for handwritten Chinese characters. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:12, pp:1963-1980 [Journal]
  51. Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo
    Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:1, pp:19-32 [Journal]
  52. 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]
  53. 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]
  54. Ming Lu, Daniel S. Yeung, Wing W. Y. Ng
    Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:1, pp:68-77 [Journal]
  55. 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]
  56. Zhi-Qiang Liu, Xizhao Wang, Daniel S. Yeung
    Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:4, pp:309- [Journal]
  57. Robert W. P. Luk, Daniel S. Yeung, Qin Lu, H. L. Leung, S. Y. Li, Fred Leung
    ASAB: a Chinese screen reader. [Citation Graph (0, 0)][DBLP]
    Softw., Pract. Exper., 2003, v:33, n:3, pp:201-219 [Journal]
  58. 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]
  59. A. Y. Cheng, Daniel S. Yeung
    Sensitivity analysis of neocognitron. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 1999, v:29, n:2, pp:238-249 [Journal]
  60. 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]
  61. 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]
  62. 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]
  63. 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]
  64. 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]
  65. 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]
  66. 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]
  67. 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]
  68. 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]
  69. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang
    Network intrusion detection in covariance feature space. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:8, pp:2185-2197 [Journal]

  70. Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. [Citation Graph (, )][DBLP]


  71. Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. [Citation Graph (, )][DBLP]


  72. Content-based image retrieval using color moment and Gabor texture feature. [Citation Graph (, )][DBLP]


  73. Feature weighting based on L-GEM. [Citation Graph (, )][DBLP]


  74. A novel approach on control simulation using neural network ensemble. [Citation Graph (, )][DBLP]


  75. Anti-spoofing system for RFID access control combining with face recogntion. [Citation Graph (, )][DBLP]


  76. A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM. [Citation Graph (, )][DBLP]


  77. Construction of radial basis function neural networks via a minimization of its localized generalization error. [Citation Graph (, )][DBLP]


  78. Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. [Citation Graph (, )][DBLP]


  79. Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment. [Citation Graph (, )][DBLP]


  80. CMAC-based fault accommodation control for tank system. [Citation Graph (, )][DBLP]


  81. RFID indoor positioning using RBFNN with L-GEM. [Citation Graph (, )][DBLP]


  82. Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers. [Citation Graph (, )][DBLP]


  83. Chaos synchronization of two uncertain chaotic nonlinear gyros using rotary sliding mode control. [Citation Graph (, )][DBLP]


  84. Trademark classification by shape using ensemble of RBFNNs. [Citation Graph (, )][DBLP]


  85. 2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. [Citation Graph (, )][DBLP]


  86. L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor. [Citation Graph (, )][DBLP]


  87. Feature selection for blind steganalysis using localized generalization error model. [Citation Graph (, )][DBLP]


  88. Moving average crossovers for short-term equity investment with L-GEM based RBFNN. [Citation Graph (, )][DBLP]


  89. Apply randomization in KNN to make the adversary harder to attack the classifier. [Citation Graph (, )][DBLP]


  90. RFID reader deployment using RBFNN with L-GEM. [Citation Graph (, )][DBLP]


  91. Access control by RFID and face recognition based on neural network. [Citation Graph (, )][DBLP]


  92. A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions. [Citation Graph (, )][DBLP]


  93. Formal verification of the correctness in hybrid expert systems. [Citation Graph (, )][DBLP]


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


  95. Heuristic improvement for active learning using localized generalization error as selection criterion. [Citation Graph (, )][DBLP]


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


  97. IPCM Separability Ratio for Supervised Feature Selection. [Citation Graph (, )][DBLP]


  98. A Novel Dynamic Fusion Method Using Localized Generalization Error Model. [Citation Graph (, )][DBLP]


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