dblp.uni-trier.dewww.uni-trier.de

Daniel S. Yeung Vis

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeerX - CSB - MetaPress - Google - Bing - Yahoo

*2009
91EEDaniel S. Yeung: Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. ADMA 2009: 3
90 Daniel S. Yeung: Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. ICINCO-ICSO 2009: 5
89EEDaniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng: Radial Basis Function network learning using localized generalization error bound. Inf. Sci. 179(19): 3199-3217 (2009)
2008
88EEEric 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
87EEEric 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)
86EEXizhao Wang, Yuanyan Tang, Daniel S. Yeung: Editorial. IJPRAI 22(1): 1-2 (2008)
85EEWing 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)
84EEAki 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)
83EEDaniel S. Yeung, Xizhao Wang, Degang Chen: Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008)
82EEXizhao Wang, Chun-Guo Li, Daniel S. Yeung, ShiJi Song, HuiMin Feng: A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing 71(7-9): 1515-1526 (2008)
81EEWing 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
80EEPatrick 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
79EEWing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang: Heuristic improvement for active learning using localized generalization error as selection criterion. SMC 2007: 3588-3593
78EEDaniel 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)
77EEDefeng 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)
76EEDaniel S. Yeung, Shuyuan Jin, Xizhao Wang: Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(2): 157-169 (2007)
75EEEric 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)
74EEShuyuan Jin, Daniel S. Yeung, Xizhao Wang: Internet Anomaly Detection Based on Statistical Covariance Matrix. IJPRAI 21(3): 591-606 (2007)
73EEXizhao 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)
72EEDaniel 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)
71EEEric 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)
70EEWing 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. Pattern Recognition 40(1): 19-32 (2007)
69EEDefeng 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)
68EEShuyuan Jin, Daniel S. Yeung, Xizhao Wang: Network intrusion detection in covariance feature space. Pattern Recognition 40(8): 2185-2197 (2007)
67EEZhi-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. Soft Comput. 11(4): 309 (2007)
66EEWing 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
65 Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang, Hong Yan: Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers Springer 2006
64EEAlex K. S. Wong, John W. T. Lee, Daniel S. Yeung: Improving Text Classifier Performance based on AUC. ICPR (3) 2006: 268-271
63EEDegang 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)
62EEYingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng: Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Computation 18(11): 2854-2877 (2006)
61EEXiaoqin Zeng, Daniel S. Yeung: Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. Neurocomputing 69(7-9): 825-837 (2006)
60EEZhi-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)
59EEJohn W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Rough sets and ordinal reducts. Soft Comput. 10(1): 27-33 (2006)
58EEMing Lu, Daniel S. Yeung, Wing W. Y. Ng: Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction. Soft Comput. 10(1): 68-77 (2006)
2005
57EEDefeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi: Gene Selection Through Sensitivity Analysis of Support Vector Machines. CompLife 2005: 117-127
56EEEric 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
55EEAki 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
54EEShuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC 2005: 691-700
53EEAlex K. S. Wong, John W. T. Lee, Daniel S. Yeung: Use of Linguistic Features in Context-Sensitive Text Classification. ICMLC 2005: 701-710
52EEYingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung: Sensitivity Analysis of Madalines to Weight Perturbation. ICMLC 2005: 822-831
51EEWing 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
50EEAki 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
49EEDefeng 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
48EEDaniel 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)
47EEQiwen 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)
46EEXiaolong Wang, Daniel S. Yeung, James N. K. Liu, Robert Wing Pong Luk, Xuan Wang: A Hybrid Language Model Based On Statistics And Linguistic Rules. IJPRAI 19(1): 109-128 (2005)
45EERuifeng Xu, Daniel S. Yeung, Daming Shi: A hybrid post-processing system for offline handwritten chinese character recognition based on a statistical language model. IJPRAI 19(3): 415-428 (2005)
44EELei Lin, Xiaolong Wang, Daniel S. Yeung: Combining multiple classifiers based on a statistical method for handwritten Chinese character recognition. IJPRAI 19(8): 1027-1040 (2005)
43EEKwok Cheung Lan, Kei Shiu Ho, Robert Wing Pong Luk, Daniel S. Yeung: FNDS: a dialogue-based system for accessing digested financial news. Journal of Systems and Software 78(2): 180-193 (2005)
42EEDaming Shi, Daniel S. Yeung, Junbin Gao: Sensitivity analysis applied to the construction of radial basis function networks. Neural Networks 18(7): 951-957 (2005)
41EEXizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung: A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68: 225-238 (2005)
40EEJohn W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Hierarchical clustering based on ordinal consistency. Pattern Recognition 38(11): 1913-1925 (2005)
39EEKei 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. Pattern Recognition 38(5): 723-738 (2005)
2004
38EEDaming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen: Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian Conference on AI 2004: 380-390
37EEDaming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung: Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362
36EEXizhao Wang, Chunru Dong, Daniel S. Yeung: A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) 2004: 3181-3186
35EEWing W. Y. Ng, Daniel S. Yeung, Ian Cloete: Quantitative study on effect of center selection to RBFNN classification performance. SMC (4) 2004: 3692-3697
34EEDaniel 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)
33EEGuoliang 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
32EEDaniel 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)
31EEXiaoqin Zeng, Daniel S. Yeung: A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. Neural Computation 15(1): 183-212 (2003)
30 Robert W. P. Luk, Daniel S. Yeung, Qin Lu, H. L. Leung, S. Y. Li, Fred Leung: ASAB: a Chinese screen reader. Softw., Pract. Exper. 33(3): 201-219 (2003)
2002
29EEDaniel S. Yeung, Xizhao Wang: Improving Performance of Similarity-Based Clustering by Feature Weight Learning. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 556-561 (2002)
28 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
27 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
26 Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng: Sensitivity Analysis of Multilayer Perceptron. IJCAI 2001: 809-818
25 Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang: Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. Computational Intelligence 17(2): 295-314 (2001)
24EEXizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung: A new approach to fuzzy rule generation: fuzzy extension matrix. Fuzzy Sets and Systems 123(3): 291-306 (2001)
23 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)
22EEKei Yuen Hung, Robert W. P. Luk, Daniel S. Yeung, Korris Fu-Lai Chung, Wenhao Shu: Determination of Context Window Size. Int. J. Comput. Proc. Oriental Lang. 14(1): 71-80 (2001)
21EEDaniel 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)
2000
20EERobert W. P. Luk, Daniel S. Yeung, Qin Lu, Eric Leung, S. Y. Li, Fred Leung: Digital library access for Chinese visually impaired. ACM DL 2000: 244-245
19EESimon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung: Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. EWCBR 2000: 285-296
1999
18 A. Y. Cheng, Daniel S. Yeung: Sensitivity analysis of neocognitron. IEEE Transactions on Systems, Man, and Cybernetics, Part C 29(2): 238-249 (1999)
17EEDaming Shi, Chunlei Dong, Daniel S. Yeung: Neocognitron's Parameter Tuning by Genetic Algorithms. Int. J. Neural Syst. 9(6): 497-509 (1999)
16EEDaniel 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
15 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
14EEWilson W. S. Ip, Korris Fu-Lai Chung, Daniel S. Yeung: Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition. ICDAR 1997: 185-189
13EEEric 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
12EESimon C. K. Shiu, James N. K. Liu, Daniel S. Yeung: Formal verification of the correctness in hybrid expert systems. KES (2) 1997: 419-428
11 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)
1996
10EEAllan K. Y. Wong, Daniel S. Yeung: A Communication Layer for the Construction of Global, Transparent and Quasi-optimal Virtual Machines for Distributed Computing. ISPAN 1996: 161-167
9EEDaniel S. Yeung, Allan K. Y. Wong: Automatic Software Generation in the OORHS Distributed Computing Framework. ISPAN 1996: 349-356
8EEPaul K. O. Chow, Daniel S. Yeung: Behavioural modelling in object-oriented methodology. Information & Software Technology 38(10): 657-666 (1996)
7EEDaniel S. Yeung, Hank-Shun Fong: A fuzzy substroke extractor for handwritten Chinese characters. Pattern Recognition 29(12): 1963-1980 (1996)
1995
6EESimon C. K. Shiu, James N. K. Liu, Daniel S. Yeung: Modelling Hybrid Rule/Frame-Based Expert Systems Using Coloured Petri Nets. IEA/AIE 1995: 525-531
5EEDaniel S. Yeung, Raymond H. S. Fong: A knowledge matrix representation for a rule-mapped neural network. Neurocomputing 7(2): 123-144 (1995)
1994
4 Daniel S. Yeung, Hank-Shun Fong: Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network. AAAI 1994: 889-894
3EEDaniel S. Yeung, Hing-Yip Chan, Kwan-Fai Cheung: Incorporating Production Rules with Spatial Information Onto a Neocognitron Neural Network. Int. J. Neural Syst. 5(2): 131-142 (1994)
2EEDaniel S. Yeung, Hing-Yip Chan: A Hybrid Cognitive System Using Production Rules to Synthesize Neocognitrons. Int. J. Neural Syst. 5(4): 345-355 (1994)
1 Daniel S. Yeung, Hank-Shun Fong: Handwritten Chinese Character Recognition by Rule-Embedded Neocognitron. Neural Computing and Applications 2(4): 216-226 (1994)

Coauthor Index

1Aki P. F. Chan [50] [51] [55] [84]
2Hing-Yip Chan [2] [3]
3Patrick P. K. Chan [80] [84] [89]
4Degang Chen [41] [48] [63] [73] [83] [87]
5Fei Chen [38]
6QingCai Chen [88]
7A. Y. Cheng [18]
8Kwan-Fai Cheung [3]
9Paul K. O. Chow [8]
10Korris Fu-Lai Chung (Fu-Lai Chung) [14] [22] [39]
11Ian Cloete [35]
12Chunlei Dong [17]
13Chunru Dong [36]
14Andrés Dorado [70]
15HuiMin Feng [82]
16Michael Firth [81]
17Hank-Shun Fong [1] [4] [7] [32]
18Raymond H. S. Fong [5]
19Junbin Gao [37] [38] [42]
20Qiang He [41]
21Pheng-Ann Heng [49] [69]
22Edward Kei Shiu Ho (Kei Shiu Ho) [43]
23Kei Yuen Hung [22] [39]
24Wilson W. S. Ip [14]
25Ebroul Izquierdo [70]
26Shuyuan Jin [54] [68] [74] [76]
27Kwok Cheung Lan [43]
28J. Lee [87]
29John W. T. Lee [28] [40] [48] [53] [56] [59] [60] [64] [80]
30Eric Leung [20]
31Fred Leung [20] [30]
32H. L. Leung [30]
33Chun-Guo Li [82]
34S. Y. Li [20] [30]
35Lei Lin [44]
36W. D. Ling [24]
37James Nga-Kwok Liu (James N. K. Liu) [6] [12] [46]
38Zhi-Qiang Liu [60] [65] [67]
39Ming Lu [58]
40Qin Lu [20] [30]
41Robert Wing Pong Luk (Robert W. P. Luk) [20] [22] [30] [39] [43] [46]
42Geok See Ng [37]
43Wing W. Y. Ng [35] [50] [51] [55] [58] [66] [70] [72] [78] [79] [81] [84] [85] [89]
44Witold Pedrycz [70]
45Zhihang Peng [62]
46Guoliang Qian [33]
47S. S. Qiu [71] [75]
48Shenshan Qiu [21] [27]
49Qiwen Ran [47]
50Daming Shi [17] [37] [38] [42] [45]
51Lin Shi [49] [57] [69]
52Simon C. K. Shiu (Simon Chi-Keung Shiu) [6] [12] [16] [19] [25]
53Wenhao Shu [22] [32] [33] [39]
54ShiJi Song [82]
55Binbin Sun [79]
56Cai Hung Sun [19] [25]
57Xuequan Sun [26]
58Yuanyan Tang [86]
59Eric C. C. Tsang [11] [13] [15] [16] [21] [23] [27] [28] [32] [33] [34] [40] [47] [48] [49] [50] [51] [54] [55] [56] [57] [59] [60] [63] [66] [69] [71] [72] [73] [75] [77] [78] [80] [81] [84] [85] [87] [88]
60Defeng Wang [49] [57] [66] [69] [72] [77] [78]
61Qi Wang [47]
62Xiaolong Wang [32] [44] [46]
63Xizhao Wang [19] [21] [23] [24] [25] [27] [29] [34] [36] [41] [48] [54] [60] [65] [66] [67] [68] [72] [73] [74] [76] [78] [79] [81] [82] [83] [86] [87] [88]
64Xuan Wang [46]
65Yadong Wang [24]
66Yingfeng Wang [52] [62]
67Alex K. S. Wong [53] [64]
68Allan K. Y. Wong [9] [10]
69Tien-Tsin Wong [49]
70Ruifeng Xu [45]
71X. F. Xu [24]
72Hong Yan [65]
73Xiaoqin Zeng [26] [31] [52] [61] [62] [80]
74Wenxiu Zhang [63]
75Suyun Zhao [56] [73] [88]

Colors in the list of coauthors

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