Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDDaniel S. Yeung
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[c119]Patrick P. K. Chan, Yaxuan Wang, Daniel S. Yeung:
Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map. AsiaCCS 2020: 334-343- [i1]Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli:
Adversarial Feature Selection against Evasion Attacks. CoRR abs/2005.12154 (2020)
2010 – 2019
- 2019
- [j95]Wing W. Y. Ng
, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung:
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49(11): 3844-3858 (2019) - 2018
- [j94]Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung:
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking. Neurocomputing 275: 916-923 (2018) - [j93]Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu:
Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. 13(2): 521-534 (2018) - [c118]Keke Chen, Patrick P. K. Chan, Daniel S. Yeung:
Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. ICMLC 2018: 667-672 - [c117]Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao:
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences. IJCAI 2018: 2007-2013 - [c116]Keke Chen, Patrick P. K. Chan, Daniel S. Yeung:
Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. SMC 2018: 3553-3558 - 2017
- [j92]Patrick P. K. Chan, Zhe Lin, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung:
Sensitivity based robust learning for stacked autoencoder against evasion attack. Neurocomputing 267: 572-580 (2017) - [j91]Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan:
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval. Int. J. Mach. Learn. Cybern. 8(2): 571-586 (2017) - [j90]Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz:
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 47(11): 3814-3826 (2017) - 2016
- [j89]Wing W. Y. Ng, Guangjun Zeng, Jiangjun Zhang, Daniel S. Yeung, Witold Pedrycz:
Dual autoencoders features for imbalance classification problem. Pattern Recognit. 60: 875-889 (2016) - [j88]Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli:
Adversarial Feature Selection Against Evasion Attacks. IEEE Trans. Cybern. 46(3): 766-777 (2016) - [j87]Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan:
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 27(5): 978-992 (2016) - [c115]Qiu Xia Li, Patrick P. K. Chan, Dalin Zhou, Yinfeng Fang, Honghai Liu, Daniel S. Yeung:
Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning. ICMLC 2016: 344-349 - 2015
- [j86]Wing W. Y. Ng, Yueming Lv, Daniel S. Yeung, Patrick P. K. Chan:
Two-phase mapping hashing. Neurocomputing 151: 1423-1429 (2015) - [j85]Patrick P. K. Chan, Cheng Yang, Daniel S. Yeung, Wing W. Y. Ng:
Spam filtering for short messages in adversarial environment. Neurocomputing 155: 167-176 (2015) - [j84]Lidia S. Chao, Derek F. Wong, Philip C. L. Chen, Wing W. Y. Ng, Daniel S. Yeung:
Benefiting feature selection by the discovery of false irrelevant attributes. Int. J. Wavelets Multiresolution Inf. Process. 13(4) (2015) - [j83]Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng:
Quantification of side-channel information leaks based on data complexity measures for web browsing. Int. J. Mach. Learn. Cybern. 6(4): 607-619 (2015) - [j82]Wing W. Y. Ng, Jinchen Li, Shaoyong Feng, Daniel S. Yeung, Patrick P. K. Chan:
Sensitivity based image filtering for multi-hashing in large scale image retrieval problems. Int. J. Mach. Learn. Cybern. 6(5): 777-794 (2015) - [j81]Wing W. Y. Ng, Junjie Hu, Daniel S. Yeung, Shaohua Yin, Fabio Roli:
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems. IEEE Trans. Cybern. 45(11): 2402-2412 (2015) - [j80]Yueming Lv, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan:
Asymmetric Cyclical Hashing for Large Scale Image Retrieval. IEEE Trans. Multim. 17(8): 1225-1235 (2015) - [c114]Battista Biggio, Igino Corona, Zhi-Min He, Patrick P. K. Chan, Giorgio Giacinto, Daniel S. Yeung, Fabio Roli:
One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time. MCS 2015: 168-180 - 2014
- [j79]Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung:
An improved differential evolution and its application to determining feature weights in similarity-based clustering. Neurocomputing 146: 95-103 (2014) - [j78]Wing W. Y. Ng, Xue-Ling Liang, Jin-Cheng Li, Daniel S. Yeung, Patrick P. K. Chan:
LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model. Neurocomputing 146: 104-112 (2014) - [j77]Wing W. Y. Ng, Zhi-Min He, Daniel S. Yeung, Patrick P. K. Chan:
Steganalysis classifier training via minimizing sensitivity for different imaging sources. Inf. Sci. 281: 211-224 (2014) - [j76]Jin-Cheng Li, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Bi-firing deep neural networks. Int. J. Mach. Learn. Cybern. 5(1): 73-83 (2014) - [c113]Yujiao Li, Daniel S. Yeung:
A Causative Attack Against Semi-supervised Learning. ICMLC (CCIS volume) 2014: 196-203 - 2013
- [j75]Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error. Int. J. Wavelets Multiresolution Inf. Process. 11(3) (2013) - [c112]Chun-Ru Dong, Daniel S. Yeung, Xi-Zhao Wang:
An improved differential evolution and its application to determining feature weights in similarity based clustering. ICMLC 2013: 831-838 - [c111]Xizhao Wang, Daniel S. Yeung:
Greetings from the General Chairs. ICMLC 2013: I-II - 2012
- [j74]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) - [c110]Binbin Sun, Daniel S. Yeung:
Sparse LS-SVM two-steps model selection method. ICMLC 2012: 460-465 - [c109]Bing-Zhong Jing, Daniel S. Yeung:
Recovering depth from images using adaptive depth from focus. ICMLC 2012: 1205-1211 - 2011
- [j73]Witold Pedrycz, Daniel S. Yeung, Xizhao Wang:
Recent advances on machine learning and Cybernetics. Soft Comput. 15(6): 1039 (2011) - [c108]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 - [c107]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 - [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]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 - [c100]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 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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
- [b1]Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng:
Sensitivity Analysis for Neural Networks. Natural Computing Series, Springer 2010, ISBN 978-3-642-02531-0, pp. 1-82 - [j72]Chih-Min Lin, Li-Yang Chen, Daniel S. Yeung:
Adaptive filter design using recurrent cerebellar model articulation controller. IEEE Trans. Neural Networks 21(7): 1149-1157 (2010) - [c88]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 - [c87]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 - [c86]Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Feature weighting based on L-GEM. ICMLC 2010: 220-224 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [c76]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 - [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]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 - [c68]Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel S. Yeung:
CMAC-based fault accommodation control for tank system. ICMLC 2010: 2771-2776 - [c67]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
2000 – 2009
- 2009
- [j71]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) - [c66]Daniel S. Yeung:
Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. ADMA 2009: 3 - [c65]Daniel S. Yeung:
Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. ICINCO-ICSO 2009: 5 - [c64]Wing W. Y. Ng, Jun Wang, Daniel S. Yeung:
IPCM Separability Ratio for Supervised Feature Selection. SMC 2009: 211-215 - [c63]Daniel S. Yeung, Patrick P. K. Chan:
A Novel Dynamic Fusion Method Using Localized Generalization Error Model. SMC 2009: 623-628 - 2008
- [j70]Eric C. C. Tsang, Degang Chen, Daniel S. Yeung:
Approximations and reducts with covering generalized rough sets. Comput. Math. Appl. 56(1): 279-289 (2008) - [j69]Xizhao Wang, Chun-Guo Li, Daniel S. Yeung, ShiJi Song, Hui-Min Feng:
A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing 71(7-9): 1515-1526 (2008) - [j68]Xizhao Wang, Yuanyan Tang, Daniel S. Yeung:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 22(1): 1-2 (2008) - [j67]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. Int. J. Pattern Recognit. Artif. Intell. 22(1): 121-135 (2008) - [j66]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. Int. J. Pattern Recognit. Artif. Intell. 22(1): 137-151 (2008) - [j65]Daniel S. Yeung, Xizhao Wang, Degang Chen:
Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008) - [j64]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 Recognit. 41(12): 3706-3719 (2008) - [j63]Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee:
Attributes Reduction Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 16(5): 1130-1141 (2008) - [c62]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 - [c61]Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang:
Localized generalization error based active learning for image annotation. SMC 2008: 60-65 - [c60]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 - [p2]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
- [j62]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) - [j61]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. Int. J. Pattern Recognit. Artif. Intell. 21(3): 515-541 (2007) - [j60]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang:
Internet Anomaly Detection Based on Statistical Covariance Matrix. Int. J. Pattern Recognit. Artif. Intell. 21(3): 591-606 (2007) - [j59]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) - [j58]Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang:
Structured large margin machines: sensitive to data distributions. Mach. Learn. 68(2): 171-200 (2007) - [j57]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 Recognit. 40(1): 19-32 (2007) - [j56]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang:
Network intrusion detection in covariance feature space. Pattern Recognit. 40(8): 2185-2197 (2007) - [j55]Defeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng:
Ellipsoidal support vector clustering for functional MRI analysis. Pattern Recognit. 40(10): 2685-2695 (2007) - [j54]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) - [j53]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) - [j52]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 Trans. Neural Networks 18(5): 1294-1305 (2007) - [j51]Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang:
Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Trans. Neural Networks 18(5): 1453-1462 (2007) - [j50]Daniel S. Yeung, Shuyuan Jin, Xizhao Wang:
Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Trans. Syst. Man Cybern. Part A 37(2): 157-169 (2007) - [c59]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 - [c58]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 - [c57]Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang:
Sample Reduction for SVMs via Data Structure Analysis. SoSE 2007: 1-6 - 2006
- [j49]Xiaoqin Zeng, Daniel S. Yeung:
Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. Neurocomputing 69(7-9): 825-837 (2006) - [j48]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) - [j47]Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng:
Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Comput. 18(11): 2854-2877 (2006) - [j46]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) - [j45]John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang:
Rough sets and ordinal reducts. Soft Comput. 10(1): 27-33 (2006) - [j44]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) - [j43]Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang:
Structured One-Class Classification. IEEE Trans. Syst. Man Cybern. Part B 36(6): 1283-1295 (2006) - [c56]Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung:
Improving Text Classifier Performance based on AUC. ICPR (3) 2006: 268-271 - [c55]Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung:
Structured Large Margin Machine Ensemble. SMC 2006: 840-844 - [c54]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 - [c53]Alex K. S. Wong, John W. T. Lee, Daniel S. Yeung:
Learning Web Categorization with Controlled Generation of Context Features. SMC 2006: 2960-2964 - [e2]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. Lecture Notes in Computer Science 3930, Springer 2006, ISBN 3-540-33584-6 [contents] - 2005
- [j42]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) - [j41]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. Int. J. Pattern Recognit. Artif. Intell. 19(1): 109-128 (2005) - [j40]Ruifeng Xu, Daniel S. Yeung, Daming Shi:
A hybrid post-processing system for offline handwritten chinese character recognition based on a statistical language model. Int. J. Pattern Recognit. Artif. Intell. 19(3): 415-428 (2005) - [j39]