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Eric C. C. Tsang Vis

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*2009
45EESuyun Zhao, Eric C. C. Tsang, Degang Chen: The Model of Fuzzy Variable Precision Rough Sets. IEEE T. Fuzzy Systems 17(2): 451-467 (2009)
2008
44EEEric C. C. Tsang, QingCai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang: Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 45-64
43EEEric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, J. Lee: Attributes Reduction Using Fuzzy Rough Sets. IEEE T. Fuzzy Systems 16(5): 1130-1141 (2008)
42EEBo Liu, Zhifeng Hao, Eric C. C. Tsang: Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. IEEE Transactions on Neural Networks 19(12): 2044-2052 (2008)
41EEWing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang: The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine. IJPRAI 22(1): 121-135 (2008)
40EEAki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung: A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. IJPRAI 22(1): 137-151 (2008)
39EESuyun Zhao, Eric C. C. Tsang: On fuzzy approximation operators in attribute reduction with fuzzy rough sets. Inf. Sci. 178(16): 3163-3176 (2008)
38EEWing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang: Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognition 41(12): 3706-3719 (2008)
2007
37EEPatrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee: Neural network ensemble pruning using sensitivity measure in web applications. SMC 2007: 3051-3056
36EEDaniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang: Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Transactions on Neural Networks 18(5): 1294-1305 (2007)
35EEDefeng Wang, Daniel S. Yeung, Eric C. C. Tsang: Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Transactions on Neural Networks 18(5): 1453-1462 (2007)
34EEEric C. C. Tsang, S. S. Qiu, Daniel S. Yeung: Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge Refinement. IJPRAI 21(3): 515-541 (2007)
33EEXizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung: Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. 177(20): 4493-4514 (2007)
32EEDaniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang: Structured large margin machines: sensitive to data distributions. Machine Learning 68(2): 171-200 (2007)
31EEEric C. C. Tsang, S. S. Qiu, Daniel S. Yeung: Stability analysis of a discrete Hopfield neural network with delay. Neurocomputing 70(13-15): 2598-2602 (2007)
30EEDefeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng: Ellipsoidal support vector clustering for functional MRI analysis. Pattern Recognition 40(10): 2685-2695 (2007)
29EEWing 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. Soft Comput. 11(4): 375-381 (2007)
2006
28EEDegang Chen, Wenxiu Zhang, Daniel S. Yeung, Eric C. C. Tsang: Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Inf. Sci. 176(13): 1829-1848 (2006)
27EEZhi-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. Soft Comput. 10(1): 1 (2006)
26EEJohn W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Rough sets and ordinal reducts. Soft Comput. 10(1): 27-33 (2006)
2005
25EEDefeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi: Gene Selection Through Sensitivity Analysis of Support Vector Machines. CompLife 2005: 117-127
24EEDong-mei Huang, Ming-hu Ha, Ya-min Li, Eric C. C. Tsang: Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach. ICMLC 2005: 517-527
23EEEric 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. ICMLC 2005: 568-577
22EEDegang Chen, Eric C. C. Tsang: On the Local Reduction of Information System. ICMLC 2005: 588-594
21EEAki 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. ICMLC 2005: 682-690
20EEShuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC 2005: 691-700
19EEWing 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. ICMLC 2005: 851-860
18EEAki 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. KES (3) 2005: 141-148
17EEDefeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang: Support Vector Clustering for Brain Activation Detection. MICCAI 2005: 572-579
16EEDegang Chen, Jiashang Jiang, Congxin Wu, Eric C. C. Tsang: Some notes on equivalent fuzzy sets and fuzzy subgroups. Fuzzy Sets and Systems 152(2): 403-409 (2005)
15EEDaniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang: On the generalization of fuzzy rough sets. IEEE T. Fuzzy Systems 13(3): 343-361 (2005)
14EEQiwen Ran, Daniel S. Yeung, Eric C. C. Tsang, Qi Wang: General multifractional Fourier transform method based on the generalized permutation matrix group. IEEE Transactions on Signal Processing 53(1): 83-98 (2005)
13EEEric C. C. Tsang, Xizhao Wang: An Approach To Case-Based Maintenance: Selecting Representative Cases. IJPRAI 19(1): 79-89 (2005)
12EEJohn W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Hierarchical clustering based on ordinal consistency. Pattern Recognition 38(11): 1913-1925 (2005)
2004
11EEDaniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: Handling interaction in fuzzy production rule reasoning. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(5): 1979-1987 (2004)
10EEGuoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu: Feature Selection For Chinese Character Recognition Based On Inductive Learning. IJPRAI 18(8): 1453-1471 (2004)
2003
9EEDaniel 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. IJPRAI 17(8): 1483-1513 (2003)
2002
8 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. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(1): 91-98 (2002)
2001
7 Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang: A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. IJCAI 2001: 789-796
6 Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang: A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 215-226 (2001)
5EEDaniel 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. International Journal of Computational Intelligence and Applications 1(4): 399-412 (2001)
1999
4EEDaniel S. Yeung, Simon C. K. Shiu, Eric C. C. Tsang: Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets. Journal of Intelligent and Fuzzy Systems 7(2): 137-149 (1999)
1998
3 Daniel S. Yeung, Eric C. C. Tsang: A multilevel weighted fuzzy reasoning algorithm for expert systems. IEEE Transactions on Systems, Man, and Cybernetics, Part A 28(2): 149-158 (1998)
1997
2EEEric C. C. Tsang, Daniel S. Yeung: Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks. KES (2) 1997: 409-418
1 Daniel S. Yeung, Eric C. C. Tsang: A comparative study on similarity-based fuzzy reasoning methods. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(2): 216-227 (1997)

Coauthor Index

1Aki P. F. Chan [18] [19] [21] [40]
2Patrick P. K. Chan [37] [40]
3Degang Chen [15] [16] [22] [28] [33] [43] [45]
4QingCai Chen [44]
5Michael Firth [38]
6Hank-Shun Fong [9]
7Ming-hu Ha [24]
8Zhifeng Hao [42]
9Pheng-Ann Heng [17] [30]
10Dong-mei Huang [24]
11Jiashang Jiang [16]
12Shuyuan Jin [20]
13J. Lee [43]
14John W. T. Lee [8] [12] [15] [23] [26] [27] [37]
15Ya-min Li [24]
16Bo Liu [42]
17Zhi-Qiang Liu [27]
18Wing W. Y. Ng [18] [19] [21] [29] [32] [36] [38] [40] [41]
19Guoliang Qian [10]
20S. S. Qiu [31] [34]
21Shenshan Qiu [5] [7]
22Qiwen Ran [14]
23Lin Shi [17] [25] [30]
24Simon C. K. Shiu (Simon Chi-Keung Shiu) [4]
25Wenhao Shu [9] [10]
26Defeng Wang [17] [25] [29] [30] [32] [35] [36]
27Qi Wang [14]
28Xiaolong Wang [9]
29Xizhao Wang [5] [6] [7] [11] [13] [15] [20] [27] [29] [32] [33] [36] [38] [43] [44]
30Tien-Tsin Wong [17]
31Congxin Wu [16]
32Daniel S. Yeung [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [14] [15] [17] [18] [19] [20] [21] [23] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [40] [41] [43] [44]
33Xiaoqin Zeng [37]
34Wenxiu Zhang [28]
35Suyun Zhao [23] [33] [39] [44] [45]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)