- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| j69 |      | Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng, Chih-Min Lin, James N. K. Liu: Dynamic fusion method using Localized Generalization Error Model. Inf. Sci. 217: 1-20 (2012) |
| c90 | | |
| c89 | | Bing-Zhong Jing, Daniel S. Yeung: Recovering depth from images using adaptive depth from focus. ICMLC 2012: 1205-1211 |
| 2011 | ||
| j68 | | Witold Pedrycz, Daniel S. Yeung, Xizhao Wang: Recent advances on machine learning and Cybernetics. Soft Comput. 15(6): 1039 (2011) |
| c88 | | Wing W. Y. Ng, Xin Ran, Patrick P. K. Chan, Daniel S. Yeung: News story clustering using L-GEM based RBFNN. ICMLC 2011: 85-90 |
| c87 | | Wing W. Y. Ng, Li Lin, Patrick P. K. Chan, Daniel S. Yeung: 3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning. ICMLC 2011: 324-329 |
| c86 | | Wing W. Y. Ng, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung: Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method. ICMLC 2011: 447-453 |
| c85 | | Wing W. Y. Ng, Yi-Song Qiao, Li Lin, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung: Intelligent book positioning for library using RFID and book spine matching. ICMLC 2011: 465-470 |
| c84 | | Wing W. Y. Ng, Xue-Ling Liang, Patrick P. K. Chan, Daniel S. Yeung: Stock investment decision support for Hong Kong market using RBFNN based candlestick models. ICMLC 2011: 538-543 |
| c83 | | Wing W. Y. Ng, Timothy Tian-Ming Zheng, Patrick P. K. Chan, Daniel S. Yeung: Social relationship discovery and face annotation in personal photo collection. ICMLC 2011: 631-637 |
| c82 | | Wing W. Y. Ng, Yao-Hong Chan, Patrick P. K. Chan, Daniel S. Yeung: Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems. ICMLC 2011: 723-726 |
| c81 | | Wing W. Y. Ng, Qian-Cheng Wang, Rui-Jie Yang, Patrick P. K. Chan, Daniel S. Yeung: A study on the effect of scaling functions to feature weighting performance. ICMLC 2011: 1077-1081 |
| c80 | | Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: A survey of the initialization of centers and widths in radial basis function network for classification. ICMLC 2011: 1082-1087 |
| c79 | | Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng, Daniel S. Yeung, Jinshan Jiang: A novel defend against good word attacks. ICMLC 2011: 1088-1092 |
| c78 | | Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng, Daniel S. Yeung: Dynamic base classifier pool for classifier selection in Multiple Classifier Systems. ICMLC 2011: 1093-1096 |
| c77 | | Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng, Daniel S. Yeung: Sensitivity based Growing and Pruning method for RBF network in online learning environments. ICMLC 2011: 1107-1112 |
| c76 | | Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng, Daniel S. Yeung: Comparision of different classifiers in fault detection in microgrid. ICMLC 2011: 1210-1213 |
| c75 | | Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng, Daniel S. Yeung: Disturbance rejection using error estimation in neural network controller design. ICMLC 2011: 1220-1225 |
| c74 | | Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng, Daniel S. Yeung: Multiple classifier system for short term load forecast of Microgrid. ICMLC 2011: 1268-1273 |
| c73 | | Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng, Daniel S. Yeung: A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems. ICMLC 2011: 1637-1642 |
| c72 | | Wing W. Y. Ng, Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung: Blind steganalysis with high generalization capability for different image databases using L-GEM. ICMLC 2011: 1690-1695 |
| c71 | | Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng, Daniel S. Yeung: Depth estimation from a single image using defocus cues. ICMLC 2011: 1732-1738 |
| c70 | | Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng, Daniel S. Yeung: Dynamic hierarchical semantic network based image retrieval using relevance feedback. ICMLC 2011: 1746-1751 |
| c69 | | Wing W. Y. Ng, Xian-Heng Ma, Patrick P. K. Chan, Daniel S. Yeung: Multi-object tracking in video using Localized Generalization Error model based RBFNN. ICMLC 2011: 1825-1831 |
| 2010 | ||
| j67 | | Chih-Min Lin, Li-Yang Chen, Daniel S. Yeung: Adaptive filter design using recurrent cerebellar model articulation controller. IEEE Transactions on Neural Networks 21(7): 1149-1157 (2010) |
| c68 | | Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: 2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. ICMLC 2010: 134-140 |
| c67 | | Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: Apply randomization in KNN to make the adversary harder to attack the classifier. ICMLC 2010: 179-183 |
| c66 | | Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung: Feature weighting based on L-GEM. ICMLC 2010: 220-224 |
| c65 | | Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: A novel approach on control simulation using neural network ensemble. ICMLC 2010: 357-362 |
| c64 | | Weiwei Lai, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung: Trademark classification by shape using ensemble of RBFNNs. ICMLC 2010: 391-396 |
| c63 | | Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung: Feature selection for blind steganalysis using localized generalization error model. ICMLC 2010: 500-505 |
| c62 | | Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions. ICMLC 2010: 669-674 |
| c61 | | Dong-Liang Wu, Wing W. Y. Ng, Patrick P. K. Chan, Hai-Lan Ding, Bing-Zhong Jing, Daniel S. Yeung: Access control by RFID and face recognition based on neural network. ICMLC 2010: 675-680 |
| c60 | | Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: Anti-spoofing system for RFID access control combining with face recogntion. ICMLC 2010: 698-703 |
| c59 | | Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: Content-based image retrieval using color moment and Gabor texture feature. ICMLC 2010: 719-724 |
| c58 | | Wei Xiao, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung: L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor. ICMLC 2010: 763-768 |
| c57 | | Timothy Tian-Ming Zheng, Wing W. Y. Ng, Xu-Sheng Huang, Shi-Ting Yang, Patrick P. K. Chan, Weiwei Lai, Daniel S. Yeung: Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment. ICMLC 2010: 808-814 |
| c56 | | Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Dong-Liang Wu, Xiao-Ling Chen, Daniel S. Yeung: RFID indoor positioning using RBFNN with L-GEM. ICMLC 2010: 1147-1152 |
| c55 | | Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung, Dong-Liang Wu: RFID reader deployment using RBFNN with L-GEM. ICMLC 2010: 1153-1158 |
| c54 | | Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung: A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM. ICMLC 2010: 1402-1407 |
| c53 | | Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan: Construction of radial basis function neural networks via a minimization of its localized generalization error. ICMLC 2010: 1437-1442 |
| c52 | | Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers. ICMLC 2010: 1464-1469 |
| c51 | | Yao-Hong Chan, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan: Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. ICMLC 2010: 1524-1527 |
| c50 | | Gao-Yang Cai, Wing W. Y. Ng, Patrick P. K. Chan, Michael Firth, Daniel S. Yeung: Moving average crossovers for short-term equity investment with L-GEM based RBFNN. ICMLC 2010: 1684-1688 |
| c49 | | Te-Yu Chen, Wei-Wei Zhang, Chih-Min Lin, Daniel S. Yeung: Chaos synchronization of two uncertain chaotic nonlinear gyros using rotary sliding mode control. ICMLC 2010: 2765-2770 |
| c48 | | Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel S. Yeung: CMAC-based fault accommodation control for tank system. ICMLC 2010: 2771-2776 |
| c47 | | Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung: Steganography detection using localized generalization error model. SMC 2010: 1544-1549 |
| 2009 | ||
| j66 | | Daniel 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) |
| c46 | | Daniel S. Yeung: Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. ADMA 2009: 3 |
| c45 |  | Daniel S. Yeung: Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. ICINCO-ICSO 2009: 5 |
| c44 | | Wing W. Y. Ng, Jun Wang, Daniel S. Yeung: IPCM Separability Ratio for Supervised Feature Selection. SMC 2009: 211-215 |
| c43 | | Daniel S. Yeung, Patrick P. K. Chan: A Novel Dynamic Fusion Method Using Localized Generalization Error Model. SMC 2009: 623-628 |
| 2008 | ||
| j65 | | Eric C. C. Tsang, Degang Chen, Daniel S. Yeung: Approximations and reducts with covering generalized rough sets. Computers & Mathematics with Applications 56(1): 279-289 (2008) |
| j64 | | Xizhao 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) |
| j63 | | |
| j62 | | 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) |
| j61 | | 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) |
| j60 | | Daniel S. Yeung, Xizhao Wang, Degang Chen: Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008) |
| j59 | | 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) |
| j58 | | 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) |
| c42 | | Huili Li, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung: Quantitative study on candlestick pattern for Shenzhen Stock Market. SMC 2008: 54-59 |
| c41 | | Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang: Localized generalization error based active learning for image annotation. SMC 2008: 60-65 |
| c40 | | Yang Lv, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung: Information extraction based on information fusion from multiple news sources from the web. SMC 2008: 1471-1476 |
| p1 | | 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 |
| 2007 | ||
| j57 | | 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) |
| j56 | | 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) |
| j55 | | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang: Internet Anomaly Detection Based on Statistical Covariance Matrix. IJPRAI 21(3): 591-606 (2007) |
| j54 | | 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) |
| j53 | | 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) |
| j52 | | 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. Pattern Recognition 40(1): 19-32 (2007) |
| j51 | | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang: Network intrusion detection in covariance feature space. Pattern Recognition 40(8): 2185-2197 (2007) |
| j50 | | 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) |
| j49 | | 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. Soft Comput. 11(4): 309 (2007) |
| j48 | | 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) |
| j47 | | 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) |
| j46 | | 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) |
| j45 | | Daniel 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) |
| c39 | | 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 |
| c38 | | Wing 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 |
| 2006 | ||
| j44 | | Xiaoqin Zeng, Daniel S. Yeung: Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. Neurocomputing 69(7-9): 825-837 (2006) |
| j43 | | 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) |
| j42 | | Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng: Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Computation 18(11): 2854-2877 (2006) |
| j41 | | 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) |
| j40 | | John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Rough sets and ordinal reducts. Soft Comput. 10(1): 27-33 (2006) |
| j39 | | Ming 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) |
| c37 | | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung: Improving Text Classifier Performance based on AUC. ICPR (3) 2006: 268-271 |
| c36 | | Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung: Structured Large Margin Machine Ensemble. SMC 2006: 840-844 |
| c35 | | Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang, Michael Firth: Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping. SMC 2006: 845-850 |
| c34 | | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung: Learning Web Categorization with Controlled Generation of Context Features. SMC 2006: 2960-2964 |
| e1 | | Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang, Hong Yan (Eds.): Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3930, Springer 2006, isbn 3-540-33584-6 |
| 2005 | ||
| j38 | | Xizhao 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) |
| j37 | | 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. IJPRAI 19(1): 109-128 (2005) |
| j36 | | Ruifeng 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) |
| j35 | | Lei 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) |
| j34 | | Kwok 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) |
| j33 | | Daming Shi, Daniel S. Yeung, Junbin Gao: Sensitivity analysis applied to the construction of radial basis function networks. Neural Networks 18(7): 951-957 (2005) |
| j32 | | 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. Pattern Recognition 38(5): 723-738 (2005) |
| j31 | | John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang: Hierarchical clustering based on ordinal consistency. Pattern Recognition 38(11): 1913-1925 (2005) |
| j30 | | 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) |
| j29 | | 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) |
| c33 | | Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi: Gene Selection Through Sensitivity Analysis of Support Vector Machines. CompLife 2005: 117-127 |
| c32 | | 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 |
| c31 | | 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 |
| c30 | | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC 2005: 691-700 |
| c29 | | Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung: Use of Linguistic Features in Context-Sensitive Text Classification. ICMLC 2005: 701-710 |
| c28 | | Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung: Sensitivity Analysis of Madalines to Weight Perturbation. ICMLC 2005: 822-831 |
| c27 | | 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 |
| c26 | | 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 |
| c25 | | 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 |
| c24 | | Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang: Quantitative study on the generalization error of multiple classifier systems. SMC 2005: 889-894 |
| c23 | | Eric C. C. Tsang, Aki P. F. Chan, Daniel S. Yeung, S. S. Qiu: Stability Analysis of Discrete Hopfield Neural Networks With Delay and Its Application. SMC 2005: 1017-1023 |
| c22 | | Gloria C. Y. Tsang, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung: On attributes reduction with fuzzy rough sets. SMC 2005: 2775-2780 |
| c21 | | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: A feature space analysis for anomaly detection. SMC 2005: 3599-3603 |
| c20 | | Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung: Active learning using localized generalization error of candidate sample as criterion. SMC 2005: 3604-3609 |
| 2004 | ||
| j28 | | 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) |
| j27 | | 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) |
| c19 | | Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen: Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian Conference on AI 2004: 380-390 |
| c18 | | Shuyuan Jin, Daniel S. Yeung: A covariance analysis model for DDoS attack detection. ICC 2004: 1882-1886 |
| c17 | | Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung: Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362 |
| c16 | | Xizhao Wang, Chunru Dong, Daniel S. Yeung: A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) 2004: 3181-3186 |
| c15 | | Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete: Quantitative study on effect of center selection to RBFNN classification performance. SMC (4) 2004: 3692-3697 |
| 2003 | ||
| j26 | | 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) |
| j25 | | Xiaoqin Zeng, Daniel S. Yeung: A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. Neural Computation 15(1): 183-212 (2003) |
| j24 | | 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) |
| j23 | | Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang: OFFSS: optimal fuzzy-valued feature subset selection. IEEE T. Fuzzy Systems 11(2): 202-213 (2003) |
| c14 | | Xiaoqin Zeng, Yajuan Huang, Daniel S. Yeung: Determining the relevance of input features for multilayer perceptrons. SMC 2003: 874-879 |
| c13 | | Wing W. Y. Ng, Daniel S. Yeung, Ian Cloete: Input sample selection for RBF neural network classification problems using sensitivity measure. SMC 2003: 2593-2598 |
| c12 | | John W. T. Lee, Daniel S. Yeung, Xizhao Wang: Monotonic decision tree for ordinal classification. SMC 2003: 2623-2628 |
| 2002 | ||
| j22 | | Daniel 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) |
| j21 | | John Wan Tung Lee, Daniel S. Yeung, Eric C. C. Tsang: Ordinal fuzzy sets. IEEE T. Fuzzy Systems 10(6): 767-778 (2002) |
| j20 | | Daniel S. Yeung, Xuequan Sun: Using function approximation to analyze the sensitivity of MLP with antisymmetric squashing activation function. IEEE Transactions on Neural Networks 13(1): 34-44 (2002) |
| j19 | | 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 | ||
| j18 | | 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) |
| j17 | | Xizhao 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) |
| j16 | | 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) |
| j15 | | Kei 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) |
| j14 | | Xiaoqin Zeng, Daniel S. Yeung: Sensitivity analysis of multilayer perceptron to input and weight perturbations. IEEE Transactions on Neural Networks 12(6): 1358-1366 (2001) |
| j13 | | 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) |
| c11 | | 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 |
| c10 | | Daniel S. Yeung, Xuequan Sun, Xiaoqin Zeng: Sensitivity Analysis of Multilayer Perceptron. IJCAI 2001: 809-818 |
| 2000 | ||
| j12 | | Eric C. C. Tsang, Xizhao Wang, Daniel S. Yeung: Improving learning accuracy of fuzzy decision trees by hybrid neural networks. IEEE T. Fuzzy Systems 8(5): 601-614 (2000) |
| c9 | | Robert 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 |
| c8 | | Simon 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 | ||
| j11 | | Daming Shi, Chunlei Dong, Daniel S. Yeung: Neocognitron's Parameter Tuning by Genetic Algorithms. Int. J. Neural Syst. 9(6): 497-509 (1999) |
| j10 | | 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) |
| j9 | | A. Y. Cheng, Daniel S. Yeung: Sensitivity analysis of neocognitron. IEEE Transactions on Systems, Man, and Cybernetics, Part C 29(2): 238-249 (1999) |
| 1998 | ||
| j8 | | 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 | ||
| j7 | | 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) |
| c7 | | Wilson W. S. Ip, Korris Fu-Lai Chung, Daniel S. Yeung: Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition. ICDAR 1997: 185-189 |
| c6 | | 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 |
| c5 | | Simon C. K. Shiu, James N. K. Liu, Daniel S. Yeung: Formal verification of the correctness in hybrid expert systems. KES (2) 1997: 419-428 |
| 1996 | ||
| j6 | | Paul Kai-On Chow, Daniel S. Yeung: Behavioural modelling in object-oriented methodology. Information & Software Technology 38(10): 657-666 (1996) |
| j5 | | Daniel S. Yeung, Hank-Shun Fong: A fuzzy substroke extractor for handwritten Chinese characters. Pattern Recognition 29(12): 1963-1980 (1996) |
| c4 | | Allan 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 |
| c3 | | Daniel S. Yeung, Allan K. Y. Wong: Automatic Software Generation in the OORHS Distributed Computing Framework. ISPAN 1996: 349-356 |
| 1995 | ||
| j4 | | Daniel S. Yeung, Raymond H. S. Fong: A knowledge matrix representation for a rule-mapped neural network. Neurocomputing 7(2): 123-144 (1995) |
| c2 | | Simon 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 |
| 1994 | ||
| j3 | | Daniel 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) |
| j2 | | Daniel S. Yeung, Hing-Yip Chan: A Hybrid Cognitive System Using Production Rules to Synthesize Neocognitrons. Int. J. Neural Syst. 5(4): 345-355 (1994) |
| j1 | | Daniel S. Yeung, Hank-Shun Fong: Handwritten Chinese Character Recognition by Rule-Embedded Neocognitron. Neural Computing and Applications 2(4): 216-226 (1994) |
| c1 | | Daniel S. Yeung, Hank-Shun Fong: Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network. AAAI 1994: 889-894 |
Colors in the list of coauthors
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