| Year |
Citation |
Score |
| 2020 |
Chan PPK, He Z, Hu X, Tsang ECC, Yeung DS, Ng WWY. Causative label flip attack detection with data complexity measures International Journal of Machine Learning and Cybernetics. 12: 103-116. DOI: 10.1007/S13042-020-01159-7 |
0.385 |
|
| 2018 |
Ng WWY, Tian X, Pedrycz W, Wang X, Yeung DS. Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. Ieee Transactions On Cybernetics. PMID 29994699 DOI: 10.1109/Tcyb.2018.2846760 |
0.382 |
|
| 2018 |
Chan PPK, Liu W, Chen D, Yeung DS, Zhang F, Wang X, Hsu C. Face Liveness Detection Using a Flash Against 2D Spoofing Attack Ieee Transactions On Information Forensics and Security. 13: 521-534. DOI: 10.1109/Tifs.2017.2758748 |
0.329 |
|
| 2018 |
Ng WW, Zhou X, Tian X, Wang X, Yeung DS. Bagging–boosting-based semi-supervised multi-hashing with query-adaptive re-ranking Neurocomputing. 275: 916-923. DOI: 10.1016/J.Neucom.2017.09.042 |
0.39 |
|
| 2017 |
Chan PP, Lin Z, Hu X, Tsang EC, Yeung DS. Sensitivity based robust learning for stacked autoencoder against evasion attack Neurocomputing. 267: 572-580. DOI: 10.1016/J.Neucom.2017.06.032 |
0.378 |
|
| 2016 |
Ng WW, Zeng G, Zhang J, Yeung DS, Pedrycz W. Dual autoencoders features for imbalance classification problem Pattern Recognition. 60: 875-889. DOI: 10.1016/J.Patcog.2016.06.013 |
0.414 |
|
| 2015 |
Yeung DS, Li JC, Ng WW, Chan PP. MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity. Ieee Transactions On Neural Networks and Learning Systems. PMID 26054075 DOI: 10.1109/Tnnls.2015.2431251 |
0.367 |
|
| 2015 |
Zhang F, Chan PP, Biggio B, Yeung DS, Roli F. Adversarial Feature Selection Against Evasion Attacks. Ieee Transactions On Cybernetics. PMID 25910268 DOI: 10.1109/Tcyb.2015.2415032 |
0.377 |
|
| 2015 |
Chao LS, Wong DF, Chen PCL, Ng WWY, Yeung DS. Benefiting feature selection by the discovery of false irrelevant attributes International Journal of Wavelets, Multiresolution and Information Processing. DOI: 10.1142/S021969131550023X |
0.35 |
|
| 2015 |
Ng WWY, Li J, Feng S, Yeung DS, Chan PPK. Sensitivity based image filtering for multi-hashing in large scale image retrieval problems International Journal of Machine Learning and Cybernetics. 6: 777-794. DOI: 10.1007/S13042-015-0402-1 |
0.338 |
|
| 2015 |
Ng WWY, Lv Y, Zeng Z, Yeung DS, Chan PPK. Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval International Journal of Machine Learning and Cybernetics. 8: 571-586. DOI: 10.1007/S13042-015-0350-9 |
0.355 |
|
| 2015 |
He ZM, Chan PPK, Yeung DS, Pedrycz W, Ng WWY. Quantification of side-channel information leaks based on data complexity measures for web browsing International Journal of Machine Learning and Cybernetics. 6: 607-619. DOI: 10.1007/S13042-015-0348-3 |
0.342 |
|
| 2014 |
Ng WW, Hu J, Yeung DS, Yin S, Roli F. Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems. Ieee Transactions On Cybernetics. PMID 25474818 DOI: 10.1109/Tcyb.2014.2372060 |
0.4 |
|
| 2014 |
Ng WWY, Liang XL, Li J, Yeung DS, Chan PPK. LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model Neurocomputing. 146: 104-112. DOI: 10.1016/J.Neucom.2014.04.066 |
0.375 |
|
| 2014 |
Ng WWY, He ZM, Yeung DS, Chan PPK. Steganalysis classifier training via minimizing sensitivity for different imaging sources Information Sciences. 281: 211-224. DOI: 10.1016/J.Ins.2014.05.028 |
0.421 |
|
| 2014 |
Li JC, Ng WWY, Yeung DS, Chan PPK. Bi-firing deep neural networks International Journal of Machine Learning and Cybernetics. 5: 73-83. DOI: 10.1007/S13042-013-0198-9 |
0.377 |
|
| 2014 |
Shi D, Gao J, Yeung DS, Chen F. Radial basis function network pruning by sensitivity analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3060: 380-390. |
0.341 |
|
| 2013 |
Sun B, Ng WWY, Yeung DS, Chan PPK. Hyper-parameter selection for sparse LS-SVM via minimization of its localized generalization error International Journal of Wavelets, Multiresolution and Information Processing. 11. DOI: 10.1142/S0219691313500306 |
0.38 |
|
| 2013 |
Dong CR, Yeung DS, Wang XZ. An improved differential evolution and its application to determining feature weights in similarity based clustering Proceedings - International Conference On Machine Learning and Cybernetics. 2: 831-838. DOI: 10.1016/J.Neucom.2014.04.065 |
0.381 |
|
| 2012 |
Chan PPK, Yeung DS, Ng WWY, Lin CM, Liu JNK. Dynamic fusion method using Localized Generalization Error Model Information Sciences. 217: 1-20. DOI: 10.1016/J.Ins.2012.06.026 |
0.381 |
|
| 2011 |
Dong CR, Chan PPK, Ng WWY, Yeung DS. A survey of the initialization of centers and widths in radial basis function network for classification Proceedings - International Conference On Machine Learning and Cybernetics. 3: 1082-1087. DOI: 10.1109/ICMLC.2011.6016937 |
0.313 |
|
| 2010 |
Lin CM, Chen LY, Yeung DS. Adaptive filter design using recurrent cerebellar model articulation controller. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1149-57. PMID 20659864 DOI: 10.1109/Tnn.2010.2050700 |
0.308 |
|
| 2010 |
He ZM, Ng WWY, Chan PPK, Yeung DS. Steganography detection using localized generalization error model Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 1544-1549. DOI: 10.1109/ICSMC.2010.5642331 |
0.326 |
|
| 2010 |
Dong CR, Chan PPK, Ng WWY, Yeung DS. 2-stage instance selection algorithm for KNN based on nearest unlike neighbors 2010 International Conference On Machine Learning and Cybernetics, Icmlc 2010. 1: 134-140. DOI: 10.1109/ICMLC.2010.5581078 |
0.303 |
|
| 2009 |
Yeung DS, Chan PPK, Ng WWY. Radial Basis Function network learning using localized generalization error bound Information Sciences. 179: 3199-3217. DOI: 10.1016/J.Ins.2009.06.001 |
0.403 |
|
| 2008 |
Ng WWY, Yeung DS, Tsang ECC. The localized generalization error model for single layer perceptron neural network and sigmoid support vector machine International Journal of Pattern Recognition and Artificial Intelligence. 22: 121-135. DOI: 10.1142/S0218001408006168 |
0.395 |
|
| 2008 |
CHAN APF, CHAN PPK, NG WWY, TSANG ECC, YEUNG DS. A NOVEL FEATURE GROUPING METHOD FOR ENSEMBLE NEURAL NETWORK USING LOCALIZED GENERALIZATION ERROR MODEL International Journal of Pattern Recognition and Artificial Intelligence. 22: 137-151. DOI: 10.1142/S0218001408006041 |
0.419 |
|
| 2008 |
Ng WW, Yeung DS, Firth M, Tsang EC, Wang X. Feature selection using localized generalization error for supervised classification problems using RBFNN Pattern Recognition. 41: 3706-3719. DOI: 10.1016/J.Patcog.2008.05.004 |
0.421 |
|
| 2008 |
Tsang ECC, Degang C, Yeung DS. Approximations and reducts with covering generalized rough sets Computers and Mathematics With Applications. 56: 279-289. DOI: 10.1016/J.Camwa.2006.12.104 |
0.327 |
|
| 2007 |
Wang D, Yeung DS, Tsang EC. Weighted mahalanobis distance kernels for support vector machines. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 18: 1453-62. PMID 18220193 DOI: 10.1109/TNN.2007.895909 |
0.517 |
|
| 2007 |
Yeung DS, Ng WW, Wang D, Tsang EC, Wang XZ. Localized generalization error model and its application to architecture selection for radial basis function neural network. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 18: 1294-305. PMID 18220181 DOI: 10.1109/Tnn.2007.894058 |
0.578 |
|
| 2007 |
Jin S, Yeung DS, Wang X. Internet anomaly detection based on statistical covariance matrix International Journal of Pattern Recognition and Artificial Intelligence. 21: 591-606. DOI: 10.1142/S0218001407005557 |
0.554 |
|
| 2007 |
Tsang ECC, Qiu SS, Yeung DS. Convergence analysis of a discrete Hopfield neural network with delay and its application to knowledge refinement International Journal of Pattern Recognition and Artificial Intelligence. 21: 515-541. DOI: 10.1142/S0218001407005491 |
0.351 |
|
| 2007 |
Wang D, Yeung DS, Tsang ECC. Sample reduction for SVMs via data structure analysis 2007 Ieee International Conference On System of Systems Engineering, Sose. DOI: 10.1109/SYSOSE.2007.4304333 |
0.479 |
|
| 2007 |
Chan PPK, Wang D, Tsang ECC, Yeung DS. Structured large margin machine ensemble Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 1: 840-844. DOI: 10.1109/ICSMC.2006.384493 |
0.509 |
|
| 2007 |
Wang D, Shi L, Yeung DS, Tsang EC, Ann Heng P. Ellipsoidal support vector clustering for functional MRI analysis Pattern Recognition. 40: 2685-2695. DOI: 10.1016/J.Patcog.2007.01.017 |
0.497 |
|
| 2007 |
Jin S, Yeung DS, Wang X. Network intrusion detection in covariance feature space Pattern Recognition. 40: 2185-2197. DOI: 10.1016/J.Patcog.2006.12.010 |
0.573 |
|
| 2007 |
Ng WW, Dorado A, Yeung DS, Pedrycz W, Izquierdo E. Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error Pattern Recognition. 40: 19-32. DOI: 10.1016/J.Patcog.2006.07.002 |
0.373 |
|
| 2007 |
Tsang ECC, Qiu SS, Yeung DS. Stability analysis of a discrete Hopfield neural network with delay Neurocomputing. 70: 2598-2602. DOI: 10.1016/J.Neucom.2006.12.003 |
0.312 |
|
| 2007 |
Wang X, Tsang EC, Zhao S, Chen D, Yeung DS. Learning fuzzy rules from fuzzy samples based on rough set technique Information Sciences. 177: 4493-4514. DOI: 10.1016/J.Ins.2007.04.010 |
0.338 |
|
| 2007 |
Yeung DS, Wang D, Ng WWY, Tsang ECC, Wang X. Structured large margin machines: sensitive to data distributions Machine Learning. 68: 171-200. DOI: 10.1007/S10994-007-5015-9 |
0.559 |
|
| 2006 |
Wang D, Yeung DS, Tsang EC. Structured one-class classification. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 36: 1283-95. PMID 17186805 DOI: 10.1109/TSMCB.2006.876189 |
0.475 |
|
| 2006 |
Wang Y, Zeng X, Yeung DS, Peng Z. Computation of madalines' sensitivity to input and weight perturbations. Neural Computation. 18: 2854-77. PMID 16999581 DOI: 10.1162/Neco.2006.18.11.2854 |
0.536 |
|
| 2006 |
Zeng X, Yeung DS. Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure Neurocomputing. 69: 825-837. DOI: 10.1016/J.Neucom.2005.04.010 |
0.553 |
|
| 2006 |
Ng WWY, Yeung DS, Wang D, Tsang ECC, Wang X. Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries Soft Computing. 11: 375-381. DOI: 10.1007/s00500-006-0092-4 |
0.421 |
|
| 2006 |
Lu M, Yeung DS, Ng WWY. Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction Soft Computing. 10: 68-77. DOI: 10.1007/s00500-005-0469-9 |
0.333 |
|
| 2006 |
Wang Y, Zeng X, Yeung DS. Sensitivity analysis of madalines to weight perturbation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3930: 822-831. |
0.494 |
|
| 2005 |
Wang D, Shi L, Yeung DS, Tsang EC. Nonlinear Canonical Correlation Analysis of fMRI Signals Using HDR Models. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 6: 5896-9. PMID 17281602 DOI: 10.1109/IEMBS.2005.1615832 |
0.449 |
|
| 2005 |
Wang D, Shi L, Yeung DS, Heng PA, Wong TT, Tsang EC. Support vector clustering for brain activation detection. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 8: 572-9. PMID 16685892 |
0.467 |
|
| 2005 |
Shi D, Yeung DS, Gao J. Sensitivity analysis applied to the construction of radial basis function networks Neural Networks. 18: 951-957. PMID 15939573 DOI: 10.1016/J.Neunet.2005.02.006 |
0.453 |
|
| 2005 |
LIN L, WANG X, YEUNG D. COMBINING MULTIPLE CLASSIFIERS BASED ON A STATISTICAL METHOD FOR HANDWRITTEN CHINESE CHARACTER RECOGNITION International Journal of Pattern Recognition and Artificial Intelligence. 19: 1027-1040. DOI: 10.1142/S0218001405004459 |
0.384 |
|
| 2005 |
Lee JW, Yeung DS, Tsang EC. Hierarchical clustering based on ordinal consistency Pattern Recognition. 38: 1913-1925. DOI: 10.1016/J.Patcog.2005.05.008 |
0.362 |
|
| 2005 |
Chen D, Tsang ECC, Yeung DS, Wang X. The parameterization reduction of soft sets and its applications Computers and Mathematics With Applications. 49: 757-763. DOI: 10.1016/J.Camwa.2004.10.036 |
0.333 |
|
| 2005 |
Wang D, Yeung DS, Tsang ECC, Shi L. Gene selection through sensitivity analysis of support vector machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3695: 117-127. DOI: 10.1007/11560500_11 |
0.531 |
|
| 2004 |
QIAN G, YEUNG D, TSANG ECC, SHU W. FEATURE SELECTION FOR CHINESE CHARACTER RECOGNITION BASED ON INDUCTIVE LEARNING International Journal of Pattern Recognition and Artificial Intelligence. 18: 1453-1471. DOI: 10.1142/S0218001404003836 |
0.399 |
|
| 2004 |
Ng WWY, Yeung DS, Cloete I. Quantitative study on effect of center selection to RBFNN classification performance Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 4: 3692-3697. DOI: 10.1109/ICSMC.2004.1400917 |
0.336 |
|
| 2004 |
Shi D, Ng GS, Gao J, Yeung DS. Critical vector learning to construct RBF classifiers Proceedings - International Conference On Pattern Recognition. 3: 359-362. |
0.355 |
|
| 2003 |
Zeng X, Yeung DS. A quantified sensitivity measure for multilayer perceptron to input perturbation. Neural Computation. 15: 183-212. PMID 12590825 DOI: 10.1162/089976603321043757 |
0.583 |
|
| 2003 |
Ng WWY, Yeung DS. Selection of weight quantisation accuracy for radial basis function neural network using stochastic sensitivity measure Electronics Letters. 39: 787-789. DOI: 10.1049/El:20030499 |
0.393 |
|
| 2003 |
Ng WWY, Yeung DS, Cloete I. Input sample selection for RBF neural network classification problems using sensitivity measure Proceedings of the Ieee International Conference On Systems, Man and Cybernetics. 3: 2593-2598. |
0.335 |
|
| 2003 |
Zeng X, Huang Y, Yeung DS. Determining the relevance of input features for multilayer perceptrons Proceedings of the Ieee International Conference On Systems, Man and Cybernetics. 1: 874-879. |
0.513 |
|
| 2002 |
Yeung DS, Sun X. Using function approximation to analyze the sensitivity of MLP with antisymmetric squashing activation function Ieee Transactions On Neural Networks. 13: 34-44. DOI: 10.1109/72.977266 |
0.379 |
|
| 2002 |
Ng WWY, Yeung DS. Input dimensionality reduction for radial basis neural network classification problems using sensitivity measure Proceedings of 2002 International Conference On Machine Learning and Cybernetics. 4: 2214-2219. |
0.318 |
|
| 2001 |
Zeng X, Yeung DS. Sensitivity analysis of multilayer perceptron to input and weight perturbations. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 12: 1358-66. PMID 18249965 DOI: 10.1109/72.963772 |
0.56 |
|
| 2001 |
YEUNG DS, QIU S, TSANG ECC, WANG X. 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: 399-412. DOI: 10.1142/S1469026801000329 |
0.371 |
|
| 2000 |
Shiu SCK, Sun CH, Wang X, Yeung DS. Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees Lecture Notes in Computer Science. 285-296. DOI: 10.1007/3-540-44527-7_25 |
0.354 |
|
| 1998 |
Yeung DS, Cheng YT, Fong HS, Chung FL. Neocognitron based handwriting recognition system performance tuning using genetic algorithm Proceedings of the Ieee International Conference On Systems, Man and Cybernetics. 5: 4228-4233. |
0.315 |
|
| 1996 |
Yeung DS, Fong HS. A fuzzy substroke extractor for handwritten Chinese characters Pattern Recognition. 29: 1963-1980. DOI: 10.1016/S0031-3203(96)00049-0 |
0.352 |
|
| 1995 |
Lee JWT, Chan SCF, Yeung DS. Modelling constraints in part structures Computers and Industrial Engineering. 28: 645-657. DOI: 10.1016/0360-8352(94)00217-B |
0.311 |
|
| 1994 |
Yeung DS, Fong HS. Handwritten Chinese character recognition by rule-embedded Neocognitron Neural Computing &Amp; Applications. 2: 216-226. DOI: 10.1007/Bf01414810 |
0.397 |
|
| 1994 |
Yeung DS, Tsang ECC. Improved fuzzy knowledge representation and rule evaluation using fuzzy Petri nets and degree of subsethood International Journal of Intelligent Systems. 9: 1083-1100. DOI: 10.1002/Int.4550091204 |
0.31 |
|
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