Eric C. C. Tsang

	2009
45		Suyun 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
44		Eric 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
43		Eric 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)
42		Bo 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)
41		Wing 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)
40		Aki 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)
39		Suyun Zhao, Eric C. C. Tsang: On fuzzy approximation operators in attribute reduction with fuzzy rough sets. Inf. Sci. 178(16): 3163-3176 (2008)
38		Wing 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
37		Patrick 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
36		Daniel 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)
35		Defeng 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)
34		Eric 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)
33		Xizhao 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)
32		Daniel 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)
31		Eric 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)
30		Defeng 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)
29		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. Soft Comput. 11(4): 375-381 (2007)
	2006
28		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. Inf. Sci. 176(13): 1829-1848 (2006)
27		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. Soft Comput. 10(1): 1 (2006)
26		John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Rough sets and ordinal reducts. Soft Comput. 10(1): 27-33 (2006)
	2005
25		Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi: Gene Selection Through Sensitivity Analysis of Support Vector Machines. CompLife 2005: 117-127
24		Dong-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
23		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. ICMLC 2005: 568-577
22		Degang Chen, Eric C. C. Tsang: On the Local Reduction of Information System. ICMLC 2005: 588-594
21		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. ICMLC 2005: 682-690
20		Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC 2005: 691-700
19		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. ICMLC 2005: 851-860
18		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. KES (3) 2005: 141-148
17		Defeng 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
16		Degang 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)
15		Daniel 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)
14		Qiwen 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)
13		Eric C. C. Tsang, Xizhao Wang: An Approach To Case-Based Maintenance: Selecting Representative Cases. IJPRAI 19(1): 79-89 (2005)
12		John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Hierarchical clustering based on ordinal consistency. Pattern Recognition 38(11): 1913-1925 (2005)
	2004
11		Daniel 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)
10		Guoliang 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
9		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. 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)
5		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. International Journal of Computational Intelligence and Applications 1(4): 399-412 (2001)
	1999
4		Daniel 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
2		Eric 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

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

Colors in the list of coauthors