Eric C. C. Tsang

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 51

Top Venues

ICMLC

Knowl. Based Syst.

Int. J. Mach. Learn. Cybern.

Inf. Sci.

Publications

Jiaming Wu, Eric C. C. Tsang, Weihua Xu, Chengling Zhang, Lanzhen Yang
Correlation concept-cognitive learning model for multi-label classification. Knowl. Based Syst. 290 (2024)
Chengling Zhang, Eric C. C. Tsang, Weihua Xu, Yidong Lin, Lanzhen Yang, Jiaming Wu
Dynamic updating variable precision three-way concept method based on two-way concept-cognitive learning in fuzzy formal contexts. Inf. Sci. 655 (2024)
Meng Hu, Yanting Guo, Degang Chen, Eric C. C. Tsang, Qingshuo Zhang
Attribute reduction based on neighborhood constrained fuzzy rough sets. Knowl. Based Syst. 274 (2023)
Lanzhen Yang, Eric C. C. Tsang, Xizhao Wang, Chengling Zhang
ELM parameter estimation in view of maximum likelihood. Neurocomputing 557 (2023)
Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang
Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. ICMLC (2023)
Qingshuo Zhang, Eric C. C. Tsang, Qiang He, Yanting Guo
Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification. Knowl. Based Syst. 278 (2023)
Qingshuo Zhang, Eric C. C. Tsang, Qiang He, Meng Hu
Distance metric learning with local multiple kernel embedding. Int. J. Mach. Learn. Cybern. 14 (1) (2023)
Cheng-Ling Zhang, Eric C. C. Tsang, Weihua Xu, Yi-Dong Lin, Lanzhen Yang
Incremental concept-cognitive learning approach for concept classification oriented to weighted fuzzy concepts. Knowl. Based Syst. 260 (2023)
Meng Hu, Eric C. C. Tsang, Yanting Guo, Degang Chen, Weihua Xu
-nearest-neighbor rough sets in decision information systems. Inf. Sci. 584 (2022)
Yanting Guo, Meng Hu, Xizhao Wang, Eric C. C. Tsang, Degang Chen, Weihua Xu
A robust approach to attribute reduction based on double fuzzy consistency measure. Knowl. Based Syst. 253 (2022)
Meng Hu, Eric C. C. Tsang, Yanting Guo, Qingshuo Zhang, Degang Chen, Weihua Xu
A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint. Int. J. Mach. Learn. Cybern. 13 (4) (2022)
Meng Hu, Eric C. C. Tsang, Yanting Guo, Weihua Xu
Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems. IEEE Trans. Cybern. 52 (6) (2022)
Bingjiao Fan, Guo-Cheng Li, Eric C. C. Tsang, Wen-Tao Li
Rule Acquisition Based on Multi-Level Cognitive Learning in Multi-Decision Data. ICMLC (2021)
Lanzhen Yang, Eric C. C. Tsang, Xi-Zhao Wang
An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds. ICMLC (2021)
Patrick P. K. Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung
Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. Appl. Soft Comput. 107 (2021)
Wentao Li, Shi-Qi Zeng, Tao Zhan, Bingjiao Fan, Eric C. C. Tsang
Double-Quantitative-Based Knowledge Reduction Approach to Inconsistency Information System. ICMLC (2021)
Qingshuo Zhang, Eric C. C. Tsang, Meng Hu, Qiang He, Degang Chen
Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification. ICMLC (2021)
Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng
Causative label flip attack detection with data complexity measures. Int. J. Mach. Learn. Cybern. 12 (1) (2021)
Meng Hu, Eric C. C. Tsang, Yanting Guo, Degang Chen, Weihua Xu
A novel approach to attribute reduction based on weighted neighborhood rough sets. Knowl. Based Syst. 220 (2021)
Da-Sheng Zhao, Jingjing Song, Tai-Hua Xu, Eric C. C. Tsang
Accelerator on Multi-Granularity Attribute Reduction for Continuous Parameters. ICMLC (2021)
Meng Hu, Eric C. C. Tsang, Yanting Guo, Qingshuo Zhang
An Improved ${k}$-Means Algorithm with Spatial Constraints for Image Segmentation. ICMLC (2021)
Cheng-Ling Zhang, Eric C. C. Tsang, Wei-Hua Xu, Yi-Dong Lin
A Matrix-Based Granular Reduct Approach in Formal Contexts. ICMLC (2021)
Eric C. C. Tsang, Bingjiao Fan, Degang Chen, Weihua Xu, Wentao Li
Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features. Soft Comput. 24 (5) (2020)
Jingjing Song, Zehua Jiang, Huili Dou, Eric C. C. Tsang
Supervised Neighborhood Based Ensemble Attribute Reduction. ICMLC (2020)
Yanting Guo, Eric C. C. Tsang, Meng Hu, Xuxin Lin, Degang Chen, Weihua Xu, Binbin Sang
Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects. Knowl. Based Syst. 189 (2020)
Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen
Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets. Knowl. Based Syst. 187 (2020)
Meng Hu, Eric C. C. Tsang, Yanting Guo, Weihua Xu, Degang Chen
A Fast Reduction Algorithm with Attribute Pre-Sort Based on Neighborhood Rough Set. ICMLC (2020)
Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang
Incremental feature selection based on fuzzy rough sets. Inf. Sci. 536 (2020)
Eric C. C. Tsang, Jingjing Song, Degang Chen, Xibei Yang
Order based hierarchies on hesitant fuzzy approximation space. Int. J. Mach. Learn. Cybern. 10 (6) (2019)
Bingjiao Fan, Eric C. C. Tsang, Weihua Xu, Degang Chen, Wentao Li
Attribute-oriented cognitive concept learning strategy: a multi-level method. Int. J. Mach. Learn. Cybern. 10 (9) (2019)
Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen
Local logical disjunction double-quantitative rough sets. Inf. Sci. 500 (2019)
Yanting Guo, Eric C. C. Tsang, Weihua Xu, Degang Chen
Logical Disjunction Double-Quantitative Fuzzy Rough Sets. ICMLC (2018)
Hong Zhu, Eric C. C. Tsang, Jie Zhu
Training an extreme learning machine by localized generalization error model. Soft Comput. 22 (11) (2018)
Bingjiao Fan, Eric C. C. Tsang, Weihua Xu, Jianhang Yu
Double-quantitative rough fuzzy set based decisions: A logical operations method. Inf. Sci. 378 (2017)
Chen Hao, Jinhai Li, Min Fan, Wenqi Liu, Eric C. C. Tsang
Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions. Inf. Sci. 415 (2017)
Yanting Guo, Eric C. C. Tsang, Weihua Xu
A weighted multi-granulation decision-theoretic approach to multi-source decision systems. ICMLC (2017)
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 (2017)
Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang
Minimal decision cost reduct in fuzzy decision-theoretic rough set model. Knowl. Based Syst. 126 (2017)
Hong Zhu, Eric C. C. Tsang, Xi-Zhao Wang, Rana Aamir Raza Ashfaq
Monotonic classification extreme learning machine. Neurocomputing 225 (2017)
Eric C. C. Tsang, Fan Xingqi, Xuefeng Li, Suyun Zhao
Weights based ranked fuzzy rough reduction. ICMLC (2017)
Yanyan Yang, Degang Chen, Hui Wang, Eric C. C. Tsang, Deli Zhang
Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving. Fuzzy Sets Syst. 312 (2017)
Xiaoxia Zhang, Degang Chen, Eric C. C. Tsang
Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems. Inf. Sci. 378 (2017)
Eric C. C. Tsang, Bingzhen Sun, Weimin Ma
General relation-based variable precision rough fuzzy set. Int. J. Mach. Learn. Cybern. 8 (3) (2017)
Chenxia Jin, Fachao Li, Eric C. C. Tsang, Larissa Bulysheva, Mikhail Kataev
A new compound arithmetic crossover-based genetic algorithm for constrained optimisation in enterprise systems. Enterp. Inf. Syst. 11 (1) (2017)
Hong Zhu, Yi-Chao He, Xizhao Wang, Eric C. C. Tsang
Discrete differential evolutions for the discounted {0-1} knapsack problem. Int. J. Bio Inspired Comput. 10 (4) (2017)
Jingjing Song, Eric C. C. Tsang, Degang Chen, Xibei Yang
Minimum decision cost reduct for fuzzy decision-theoretic rough set model. ICMLC (2016)
Eric C. C. Tsang, Qinghua Hu, Degang Chen
Feature and instance reduction for PNN classifiers based on fuzzy rough sets. Int. J. Mach. Learn. Cybern. 7 (1) (2016)
Suping Xu, Xibei Yang, Eric C. C. Tsang, Eric Appiah Mantey
Neighborhood collaborative classifiers. ICMLC (2016)
Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Trans. Cybern. 46 (12) (2016)
Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang
Multi-label learning with label-specific feature reduction. Knowl. Based Syst. 104 (2016)
Eric C. C. Tsang, Su-Yun Zhao
Random analysis of statistical rough set. ICMLC (2016)
Eric C. C. Tsang, Changzhong Wang, Yang Du, Qiang He
Basic properties of fuzzy approximation operators under consistent functions. ICMLC (2015)
Eric C. C. Tsang, Jing-Duo Jie, Chen-Xia Jin
A method to fuzzy multi-objective problems under random environment. ICMLC (2015)
Eric C. C. Tsang, Suyun Zhao
The comparative study of fuzzy rough reduction. ICMLC (2015)
Qin Qing, Eric C. C. Tsang
Face Recognition Using Genetic Algorithm. ICMLC (CCIS volume) (2014)
Eric C. C. Tsang, Suyun Zhao
A Fast Algorithm to Building a Fuzzy Rough Classifier. ICMLC (CCIS volume) (2014)
Eric C. C. Tsang, Changzhong Wang, Du Yan, Jiaze Li
Neighbourhood-assignment attribute reduction based on general binary relations. ICMLC (2014)
Suyun Zhao, Xizhao Wang, Degang Chen, Eric C. C. Tsang
Nested structure in parameterized rough reduction. Inf. Sci. 248 (2013)
Eric C. C. Tsang, Ming-Wen Shao
Attribute reduction and attribute characteristics of formal contexts. ICMLC (2013)
Eric C. C. Tsang, Changzhong Wang, Degang Chen, Congxin Wu, Qinghua Hu
Communication Between Information Systems Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 21 (3) (2013)
Eric C. C. Tsang, Bingzhen Sun
Generalized variable precision probabilistic rough set. ICMLC (2013)
Eric C. C. Tsang, Suyun Zhao
The topological structure in parameterized rough sets. ICMLC (2013)
Eric C. C. Tsang, S. Y. Zhao
Attribute reduction based on interval valued fuzzy granules. ICMLC (2012)
Eric C. C. Tsang, Chen-Xia Jin, Degang Chen, Fa-Chao Li
An attribute reduction method based on core samples set. ICMLC (2012)
Eric C. C. Tsang, Weimin Ma, Bingzhen Sun
Variable precision rough fuzzy set model based on general relations. ICMLC (2012)
Eric C. C. Tsang, Suyun Zhao, Cai-Li Zhou
A property of reductions in Fuzzy Variable Precision Rough Set model. ICMLC (2011)
Suyun Zhao, Eric C. C. Tsang, Degang Chen, Xizhao Wang
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach. IEEE Trans. Knowl. Data Eng. 22 (5) (2010)
Eric C. C. Tsang, Degang Chen
On the fuzzy generalization of the Dempster-Shafer theory of evidence. ICMLC (2010)
Degang Chen, Xiao Zhang, Eric C. C. Tsang, Yongping Yang
Sample selection with rough set. ICMLC (2010)
Eric C. C. Tsang, Suyun Zhao
Decision Table Reduction in KDD: Fuzzy Rough Based Approach. Trans. Rough Sets 11 (2010)
Suyun Zhao, Eric C. C. Tsang, Degang Chen
The Model of Fuzzy Variable Precision Rough Sets. IEEE Trans. Fuzzy Syst. 17 (2) (2009)
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) (2008)
Eric C. C. Tsang, Degang Chen, Daniel S. Yeung
Approximations and reducts with covering generalized rough sets. Comput. Math. Appl. 56 (1) (2008)
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) (2008)
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) (2008)
Suyun Zhao, Eric C. C. Tsang
On fuzzy approximation operators in attribute reduction with fuzzy rough sets. Inf. Sci. 178 (16) (2008)
Bo Liu, Zhifeng Hao, Eric C. C. Tsang
Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. IEEE Trans. Neural Networks 19 (12) (2008)
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) (2008)
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) (2007)
Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Trans. Neural Networks 18 (5) (2007)
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) (2007)
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) (2007)
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) (2007)
Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung
Stability analysis of a discrete Hopfield neural network with delay. Neurocomputing 70 (13-15) (2007)
Degang Chen, Eric C. C. Tsang, Suyun Zhao
An approach of attributes reduction based on fuzzy TL rough sets. SMC (2007)
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)
Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
Sample Reduction for SVMs via Data Structure Analysis. SoSE (2007)
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) (2007)
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) (2007)
Patrick P. K. Chan, Defeng Wang, Eric C. C. Tsang, Daniel S. Yeung
Structured Large Margin Machine Ensemble. SMC (2006)
Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He
A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. SMC (2006)
Zhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee
. Soft Comput. 10 (1) (2006)
Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang
Structured One-Class Classification. IEEE Trans. Syst. Man Cybern. Part B 36 (6) (2006)
John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
Rough sets and ordinal reducts. Soft Comput. 10 (1) (2006)
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) (2006)
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)
Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC (2005)
John W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang
Hierarchical clustering based on ordinal consistency. Pattern Recognit. 38 (11) (2005)
Degang Chen, Eric C. C. Tsang
On the Local Reduction of Information System. ICMLC (2005)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eric C. C. Tsang