Eric C. C. Tsang

153 papers A* 1A 1B 18Misc 41Journal 84Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A high-performance method for handling dual mixed data based on three-way decision. Inf. Sci. Wanting Wang, Qingzhao Kong, Yiyu Yao, Eric C. C. Tsang, Conghao Yan
2026	J	`jnl`	Fidelity-Preserving Concept Stylization with ST-LoRA and multimodal conditions. Expert Syst. Appl. Suoyu Zhang, Eric C. C. Tsang, Yong Wang, Jiaming Wu
2025	J	`jnl`	Association-based concept-cognitive learning for classification: Fusing knowledge with distance metric learning. Inf. Fusion Chengling Zhang, Guangming Xue, Weihua Xu, Huilai Zhi, Yinfeng Zhou, Eric C. C. Tsang
2025	J	`jnl`	Multi-level correlation information fusion via three-way concept-cognitive learning for multi-label learning. Inf. Fusion Jiaming Wu, Eric C. C. Tsang, Weihua Xu, Chengling Zhang, Qianshuo Wang
2025	J	`jnl`	Revisiting data reduction for boolean matrix factorization algorithms based on formal concept analysis. Int. J. Mach. Learn. Cybern. Lanzhen Yang, Eric C. C. Tsang, Hua Mao, Chengling Zhang, Jiaming Wu
2024	Misc	`conf`	A Weighted Granular-Ball Rough Set: Model and Attribute Reduction. ICMLC Zhonghao Zhang, Jingjing Song, Huige Li, Eric C. C. Tsang
2024	J	`jnl`	Correlation concept-cognitive learning model for multi-label classification. Knowl. Based Syst. Jiaming Wu, Eric C. C. Tsang, Weihua Xu, Chengling Zhang, Lanzhen Yang
2024	Misc	`conf`	Counting Formal Concepts of A Random Formal Context. ICMLC Lanzhen Yang, Eric C. C. Tsang, Chengling Zhang, Jiaming Wu
2024	—	`conf`	Distance-Guided Pseudo Label Graph Clustering Network. IJCRS (2) Yingxing Yu, Jingjing Song, Taihua Xu, Eric C. C. Tsang, Jianjun Chen
2024	J	`jnl`	Dynamic updating variable precision three-way concept method based on two-way concept-cognitive learning in fuzzy formal contexts. Inf. Sci. Chengling Zhang, Eric C. C. Tsang, Weihua Xu, Yidong Lin, Lanzhen Yang, Jiaming Wu
2024	Misc	`conf`	Feature Selection based on Variable Universe Rough Set. ICMLC Wanting Wang, Eric C. C. Tsang, Weihua Xu
2024	Misc	`conf`	Label Distribution Learning Method Based on Deep Forest. ICMLC Rong-Rong Wang, Eric C. C. Tsang, Weihua Xu
2024	Misc	`conf`	Multi-Label Classification with Weakly Labeled Data Based on Concept-Cognitive Learning. ICMLC Jiaming Wu, Eric C. C. Tsang, Cheng-Ling Zhang, Lanzhen Yang
2024	Misc	`conf`	Research on Attention-Based Multigranular Remote Sensing Image Extreme Object Detection Algorithm. ICMLC Meng Li, Eric C. C. Tsang, Weihua Xu, Qiang He
2023	J	`jnl`	Attribute reduction based on neighborhood constrained fuzzy rough sets. Knowl. Based Syst. Meng Hu, Yanting Guo, Degang Chen, Eric C. C. Tsang, Qingshuo Zhang
2023	J	`jnl`	Distance metric learning with local multiple kernel embedding. Int. J. Mach. Learn. Cybern. Qingshuo Zhang, Eric C. C. Tsang, Qiang He, Meng Hu
2023	J	`jnl`	ELM parameter estimation in view of maximum likelihood. Neurocomputing Lanzhen Yang, Eric C. C. Tsang, Xizhao Wang, Chengling Zhang
2023	J	`jnl`	Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification. Knowl. Based Syst. Qingshuo Zhang, Eric C. C. Tsang, Qiang He, Yanting Guo
2023	J	`jnl`	Incremental concept-cognitive learning approach for concept classification oriented to weighted fuzzy concepts. Knowl. Based Syst. Cheng-Ling Zhang, Eric C. C. Tsang, Weihua Xu, Yidong Lin, Lanzhen Yang
2023	Misc	`conf`	Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. ICMLC Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang
2022	J	`jnl`	A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint. Int. J. Mach. Learn. Cybern. Meng Hu, Eric C. C. Tsang, Yanting Guo, Qingshuo Zhang, Degang Chen, Weihua Xu
2022	J	`jnl`	A robust approach to attribute reduction based on double fuzzy consistency measure. Knowl. Based Syst. Yanting Guo, Meng Hu, Xizhao Wang, Eric C. C. Tsang, Degang Chen, Weihua Xu
2022	J	`jnl`	Attribute reduction based on overlap degree and Inf. Sci. Meng Hu, Eric C. C. Tsang, Yanting Guo, Degang Chen, Weihua Xu
2022	J	`jnl`	Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems. IEEE Trans. Cybern. Meng Hu, Eric C. C. Tsang, Yanting Guo, Weihua Xu
2021	Misc	`conf`	A Matrix-Based Granular Reduct Approach in Formal Contexts. ICMLC Cheng-Ling Zhang, Eric C. C. Tsang, Wei-Hua Xu, Yidong Lin
2021	J	`jnl`	A novel approach to attribute reduction based on weighted neighborhood rough sets. Knowl. Based Syst. Meng Hu, Eric C. C. Tsang, Yanting Guo, Degang Chen, Weihua Xu
2021	Misc	`conf`	Accelerator on Multi-Granularity Attribute Reduction for Continuous Parameters. ICMLC Da-Sheng Zhao, Jingjing Song, Tai-Hua Xu, Eric C. C. Tsang
2021	Misc	`conf`	An Improved ${k}$-Means Algorithm with Spatial Constraints for Image Segmentation. ICMLC Meng Hu, Eric C. C. Tsang, Yanting Guo, Qingshuo Zhang
2021	Misc	`conf`	An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds. ICMLC Lanzhen Yang, Eric C. C. Tsang, Xi-Zhao Wang
2021	J	`jnl`	Causative label flip attack detection with data complexity measures. Int. J. Mach. Learn. Cybern. Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng
2021	Misc	`conf`	Double-Quantitative-Based Knowledge Reduction Approach to Inconsistency Information System. ICMLC Wentao Li, Shi-Qi Zeng, Tao Zhan, Bingjiao Fan, Eric C. C. Tsang
2021	Misc	`conf`	Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification. ICMLC Qingshuo Zhang, Eric C. C. Tsang, Meng Hu, Qiang He, Degang Chen
2021	J	`jnl`	Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. Appl. Soft Comput. Patrick P. K. Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung
2021	Misc	`conf`	Rule Acquisition Based on Multi-Level Cognitive Learning in Multi-Decision Data. ICMLC Bingjiao Fan, Guo-Cheng Li, Eric C. C. Tsang, Wentao Li
2020	Misc	`conf`	A Fast Reduction Algorithm with Attribute Pre-Sort Based on Neighborhood Rough Set. ICMLC Meng Hu, Eric C. C. Tsang, Yanting Guo, Weihua Xu, Degang Chen
2020	J	`jnl`	Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets. Knowl. Based Syst. Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen
2020	J	`jnl`	Incremental feature selection based on fuzzy rough sets. Inf. Sci. Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang
2020	J	`jnl`	Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects. Knowl. Based Syst. Yanting Guo, Eric C. C. Tsang, Meng Hu, Xuxin Lin, Degang Chen, Weihua Xu, Binbin Sang
2020	J	`jnl`	Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features. Soft Comput. Eric C. C. Tsang, Bingjiao Fan, Degang Chen, Weihua Xu, Wentao Li
2020	Misc	`conf`	Supervised Neighborhood Based Ensemble Attribute Reduction. ICMLC Jingjing Song, Zehua Jiang, Huili Dou, Eric C. C. Tsang
2019	J	`jnl`	Attribute-oriented cognitive concept learning strategy: a multi-level method. Int. J. Mach. Learn. Cybern. Bingjiao Fan, Eric C. C. Tsang, Weihua Xu, Degang Chen, Wentao Li
2019	J	`jnl`	Local logical disjunction double-quantitative rough sets. Inf. Sci. Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen
2019	J	`jnl`	Order based hierarchies on hesitant fuzzy approximation space. Int. J. Mach. Learn. Cybern. Eric C. C. Tsang, Jingjing Song, Degang Chen, Xibei Yang
2018	Misc	`conf`	Logical Disjunction Double-Quantitative Fuzzy Rough Sets. ICMLC Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen
2018	J	`jnl`	Training an extreme learning machine by localized generalization error model. Soft Comput. Hong Zhu, Eric C. C. Tsang, Jie Zhu
2017	J	`jnl`	A new compound arithmetic crossover-based genetic algorithm for constrained optimisation in enterprise systems. Enterp. Inf. Syst. Chenxia Jin, Fachao Li, Eric C. C. Tsang, Larissa Bulysheva, Mikhail Yu. Kataev
2017	Misc	`conf`	A weighted multi-granulation decision-theoretic approach to multi-source decision systems. ICMLC Yanting Guo, Eric C. C. Tsang, Weihua Xu
2017	J	`jnl`	Discrete differential evolutions for the discounted {0-1} knapsack problem. Int. J. Bio Inspired Comput. Hong Zhu, Yi-Chao He, Xizhao Wang, Eric C. C. Tsang
2017	J	`jnl`	Double-quantitative rough fuzzy set based decisions: A logical operations method. Inf. Sci. Bingjiao Fan, Eric C. C. Tsang, Weihua Xu, JianHang Yu
2017	J	`jnl`	Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving. Fuzzy Sets Syst. Yanyan Yang, Degang Chen, Hui Wang, Eric C. C. Tsang, Deli Zhang
2017	J	`jnl`	General relation-based variable precision rough fuzzy set. Int. J. Mach. Learn. Cybern. Eric C. C. Tsang, Bingzhen Sun, Weimin Ma
2017	J	`jnl`	Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems. Inf. Sci. Xiaoxia Zhang, Degang Chen, Eric C. C. Tsang
2017	J	`jnl`	Minimal decision cost reduct in fuzzy decision-theoretic rough set model. Knowl. Based Syst. Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang
2017	J	`jnl`	Monotonic classification extreme learning machine. Neurocomputing Hong Zhu, Eric C. C. Tsang, Xi-Zhao Wang, Rana Aamir Raza Ashfaq
2017	J	`jnl`	Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions. Inf. Sci. Chen Hao, Jinhai Li, Min Fan, Wenqi Liu, Eric C. C. Tsang
2017	J	`jnl`	Sensitivity based robust learning for stacked autoencoder against evasion attack. Neurocomputing Patrick P. K. Chan, Zhe Lin, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung
2017	Misc	`conf`	Weights based ranked fuzzy rough reduction. ICMLC Eric C. C. Tsang, Xingqi Fan, Xuefeng Li, Suyun Zhao
2016	J	`jnl`	Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Trans. Cybern. Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang
2016	J	`jnl`	Feature and instance reduction for PNN classifiers based on fuzzy rough sets. Int. J. Mach. Learn. Cybern. Eric C. C. Tsang, Qinghua Hu, Degang Chen
2016	Misc	`conf`	Minimum decision cost reduct for fuzzy decision-theoretic rough set model. ICMLC Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang
2016	J	`jnl`	Multi-label learning with label-specific feature reduction. Knowl. Based Syst. Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang
2016	Misc	`conf`	Neighborhood collaborative classifiers. ICMLC Suping Xu, Xibei Yang, Eric C. C. Tsang, Eric Appiah Mantey
2016	Misc	`conf`	Random analysis of statistical rough set. ICMLC Eric C. C. Tsang, Suyun Zhao
2015	Misc	`conf`	A method to fuzzy multi-objective problems under random environment. ICMLC Eric C. C. Tsang, Jing-Duo Jie, Chen-Xia Jin
2015	Misc	`conf`	Basic properties of fuzzy approximation operators under consistent functions. ICMLC Eric C. C. Tsang, Changzhong Wang, Yang Du, Qiang He
2015	Misc	`conf`	The comparative study of fuzzy rough reduction. ICMLC Eric C. C. Tsang, Suyun Zhao
2014	—	`conf`	A Fast Algorithm to Building a Fuzzy Rough Classifier. ICMLC (CCIS volume) Eric C. C. Tsang, Suyun Zhao
2014	—	`conf`	Face Recognition Using Genetic Algorithm. ICMLC (CCIS volume) Qin Qing, Eric C. C. Tsang
2014	Misc	`conf`	Neighbourhood-assignment attribute reduction based on general binary relations. ICMLC Eric C. C. Tsang, Changzhong Wang, Du Yan, Jiaze Li
2013	Misc	`conf`	Attribute reduction and attribute characteristics of formal contexts. ICMLC Eric C. C. Tsang, Ming-Wen Shao
2013	J	`jnl`	Communication Between Information Systems Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Changzhong Wang, Degang Chen, Congxin Wu, Qinghua Hu
2013	Misc	`conf`	Generalized variable precision probabilistic rough set. ICMLC Eric C. C. Tsang, Bingzhen Sun
2013	J	`jnl`	Nested structure in parameterized rough reduction. Inf. Sci. Suyun Zhao, Xizhao Wang, Degang Chen, Eric C. C. Tsang
2013	Misc	`conf`	The topological structure in parameterized rough sets. ICMLC Eric C. C. Tsang, Suyun Zhao
2012	Misc	`conf`	An attribute reduction method based on core samples set. ICMLC Eric C. C. Tsang, Chen-Xia Jin, Degang Chen, Fa-Chao Li
2012	Misc	`conf`	Attribute reduction based on interval valued fuzzy granules. ICMLC Eric C. C. Tsang, S. Y. Zhao
2012	Misc	`conf`	Variable precision rough fuzzy set model based on general relations. ICMLC Eric C. C. Tsang, Weimin Ma, Bingzhen Sun
2011	Misc	`conf`	A property of reductions in Fuzzy Variable Precision Rough Set model. ICMLC Eric C. C. Tsang, Suyun Zhao, Cai-Li Zhou
2010	J	`jnl`	Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach. IEEE Trans. Knowl. Data Eng. Suyun Zhao, Eric C. C. Tsang, Degang Chen, Xizhao Wang
2010	J	`jnl`	Decision Table Reduction in KDD: Fuzzy Rough Based Approach. Trans. Rough Sets Eric C. C. Tsang, Suyun Zhao
2010	Misc	`conf`	On the fuzzy generalization of the Dempster-Shafer theory of evidence. ICMLC Eric C. C. Tsang, Degang Chen
2010	Misc	`conf`	Sample selection with rough set. ICMLC Degang Chen, Xiao Zhang, Eric C. C. Tsang, Yongping Yang
2009	J	`jnl`	The Model of Fuzzy Variable Precision Rough Sets. IEEE Trans. Fuzzy Syst. Suyun Zhao, Eric C. C. Tsang, Degang Chen
2008	J	`jnl`	A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. Int. J. Pattern Recognit. Artif. Intell. Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung
2008	J	`jnl`	Approximations and reducts with covering generalized rough sets. Comput. Math. Appl. Eric C. C. Tsang, Degang Chen, Daniel S. Yeung
2008	J	`jnl`	Attributes Reduction Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee
2008	J	`jnl`	Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognit. Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang
2008	—	`ch.`	Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Eric C. C. Tsang, Qingcai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang
2008	J	`jnl`	Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. IEEE Trans. Neural Networks Bo Liu, Zhifeng Hao, Eric C. C. Tsang
2008	J	`jnl`	On fuzzy approximation operators in attribute reduction with fuzzy rough sets. Inf. Sci. Suyun Zhao, Eric C. C. Tsang
2008	J	`jnl`	The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine. Int. J. Pattern Recognit. Artif. Intell. Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang
2007	B	`conf`	An approach of attributes reduction based on fuzzy TL rough sets. SMC Degang Chen, Eric C. C. Tsang, Suyun Zhao
2007	J	`jnl`	Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge Refinement. Int. J. Pattern Recognit. Artif. Intell. Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung
2007	J	`jnl`	Ellipsoidal support vector clustering for functional MRI analysis. Pattern Recognit. Defeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng
2007	J	`jnl`	Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung
2007	J	`jnl`	Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Trans. Neural Networks Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang
2007	J	`jnl`	Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang
2007	B	`conf`	Neural network ensemble pruning using sensitivity measure in web applications. SMC Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee
2007	—	`conf`	Sample Reduction for SVMs via Data Structure Analysis. SoSE Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
2007	J	`jnl`	Stability analysis of a discrete Hopfield neural network with delay. Neurocomputing Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung
2007	J	`jnl`	Structured large margin machines: sensitive to data distributions. Mach. Learn. Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang
2007	J	`jnl`	Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Trans. Neural Networks Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
2006	B	`conf`	A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. SMC Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He
2006	B	`conf`	Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping. SMC Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang, Michael Firth
2006	J	`jnl`	Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Comput. Zhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee
2006	J	`jnl`	Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Inf. Sci. Degang Chen, Wenxiu Zhang, Daniel S. Yeung, Eric C. C. Tsang
2006	J	`jnl`	Rough sets and ordinal reducts. Soft Comput. John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
2006	B	`conf`	Structured Large Margin Machine Ensemble. SMC Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung
2006	J	`jnl`	Structured One-Class Classification. IEEE Trans. Syst. Man Cybern. Part B Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
2005	Misc	`conf`	A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2005	B	`conf`	A feature space analysis for anomaly detection. SMC Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2005	J	`jnl`	An Approach To Case-Based Maintenance: Selecting Representative Cases. Int. J. Pattern Recognit. Artif. Intell. Eric C. C. Tsang, Xizhao Wang
2005	Misc	`conf`	Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure. ICMLC Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang
2005	Misc	`conf`	Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection. ICMLC Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng
2005	—	`conf`	Gene Selection Through Sensitivity Analysis of Support Vector Machines. CompLife Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi
2005	J	`jnl`	General multifractional Fourier transform method based on the generalized permutation matrix group. IEEE Trans. Signal Process. Qiwen Ran, Daniel S. Yeung, Eric C. C. Tsang, Qi Wang
2005	J	`jnl`	Hierarchical clustering based on ordinal consistency. Pattern Recognit. John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
2005	Misc	`conf`	Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique. ICMLC Eric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee
2005	—	`conf`	Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach. KES (3) Aki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang
2005	B	`conf`	On attributes reduction with fuzzy rough sets. SMC Gloria C. Y. Tsang, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung
2005	Misc	`conf`	On the Local Reduction of Information System. ICMLC Degang Chen, Eric C. C. Tsang
2005	J	`jnl`	On the generalization of fuzzy rough sets. IEEE Trans. Fuzzy Syst. Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang
2005	B	`conf`	Quantitative study on the generalization error of multiple classifier systems. SMC Wing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang
2005	Misc	`conf`	Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach. ICMLC Dongmei Huang, Minghu Ha, Ya-Min Li, Eric C. C. Tsang
2005	J	`jnl`	Some notes on equivalent fuzzy sets and fuzzy subgroups. Fuzzy Sets Syst. Degang Chen, Jiashang Jiang, Congxin Wu, Eric C. C. Tsang
2005	B	`conf`	Stability Analysis of Discrete Hopfield Neural Networks With Delay and Its Application. SMC Eric C. C. Tsang, Aki P. F. Chan, Daniel S. Yeung, S. S. Qiu
2005	A	`conf`	Support Vector Clustering for Brain Activation Detection. MICCAI Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang
2004	J	`jnl`	Feature Selection For Chinese Character Recognition Based On Inductive Learning. Int. J. Pattern Recognit. Artif. Intell. Guoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu
2004	J	`jnl`	Handling interaction in fuzzy production rule reasoning. IEEE Trans. Syst. Man Cybern. Part B Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
2004	J	`jnl`	Refinement of generated fuzzy production rules by using a fuzzy neural network. IEEE Trans. Syst. Man Cybern. Part B Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee, D. M. Huang, X. Z. Wang
2003	J	`jnl`	An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters. Int. J. Pattern Recognit. Artif. Intell. Daniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang
2003	J	`jnl`	OFFSS: optimal fuzzy-valued feature subset selection. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
2003	B	`conf`	Selecting representative cases by generalization capability. SMC Eric C. C. Tsang, Xi-Zhao Wang
2002	J	`jnl`	Ordinal fuzzy sets. IEEE Trans. Fuzzy Syst. John Wan Tung Lee, Daniel S. Yeung, Eric C. C. Tsang
2002	J	`jnl`	Tuning certainty factor and local weight of fuzzy production rules by using fuzzy neural network. IEEE Trans. Syst. Man Cybern. Part B Eric C. C. Tsang, John W. T. Lee, Daniel S. Yeung
2001	A*	`conf`	A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. IJCAI Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
2001	J	`jnl`	A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. Int. J. Comput. Intell. Appl. Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang
2001	J	`jnl`	A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part B Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang
2001	B	`conf`	Learning weights of fuzzy production rules by a max-min neural network. SMC Eric C. C. Tsang, Daniel S. Yeung, Xi-Zhao Wang
2000	B	`conf`	Fuzzy weighted classification rules induction from data. SMC Eric C. C. Tsang, Hongbing Li, Daniel S. Yeung, John W. T. Lee
2000	J	`jnl`	Improving learning accuracy of fuzzy decision trees by hybrid neural networks. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Xizhao Wang, Daniel S. Yeung
2000	B	`conf`	Mining fuzzy association rules with weighted items. SMC Yue Joyce Shu, Eric C. C. Tsang, Daniel S. Yeung, Daming Shi
2000	B	`conf`	Refinement of fuzzy production rules by neuro-fuzzy networks. SMC Eric C. C. Tsang, Shenshan Qiu, Daniel S. Yeung
2000	B	`conf`	Stability of discrete Hopfield neural networks with time-delay. SMC Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung
1999	J	`jnl`	Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets. J. Intell. Fuzzy Syst. Daniel S. Yeung, Simon C. K. Shiu, Eric C. C. Tsang
1998	J	`jnl`	A multilevel weighted fuzzy reasoning algorithm for expert systems. IEEE Trans. Syst. Man Cybern. Part A Daniel S. Yeung, Eric C. C. Tsang
1998	B	`conf`	Evaluation of printed circuit board assembly manufacturing systems using fuzzy colored Petri nets. SMC Simon C. K. Shiu, Eric C. C. Tsang, Daniel S. Yeung, Martin B. Lam
1998	B	`conf`	Refinement of knowledge representation parameters in fuzzy production rules by genetic algorithms. SMC Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee
1998	B	`conf`	Refining local weights and certainty factors using a fuzzy neural network. SMC Eric C. C. Tsang, Daniel S. Yeung
1997	J	`jnl`	A comparative study on similarity-based fuzzy reasoning methods. IEEE Trans. Syst. Man Cybern. Part B Daniel S. Yeung, Eric C. C. Tsang
1997	—	`conf`	Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks. KES (2) Eric C. C. Tsang, Daniel S. Yeung
1997	J	`jnl`	Weighted fuzzy production rules. Fuzzy Sets Syst. Daniel S. Yeung, Eric C. C. Tsang
1994	J	`jnl`	Improved fuzzy knowledge representation and rule evaluation using fuzzy petri nets and degree of subsethood. Int. J. Intell. Syst. Daniel S. Yeung, Eric C. C. Tsang