E. Tsang

Most-cited papers

Attributes Reduction Using Fuzzy Rough Sets
E. Tsang, Degang Chen, D. Yeung, Xi-Zhao Wang +1 more
2008IEEE transactions on fuzzy systems318 citations
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Learning fuzzy rules from fuzzy samples based on rough set technique
Xi-Zhao Wang, E. Tsang, Suyun Zhao, Degang Chen +1 more
2007Information Sciences228 citations
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The Model of Fuzzy Variable Precision Rough Sets
Suyun Zhao, E. Tsang, Degang Chen
2009IEEE transactions on fuzzy systems219 citations
Semantic Scholar
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network
D. Yeung, Wing W. Y. Ng, De-Feng Wang, E. Tsang +1 more
2007IEEE Transactions on Neural Networks194 citations
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Multi-label learning with label-specific feature reduction
Su-Ping Xu, Xi-Bei Yang, Hua-Long Yu, Dong-Jun Yu +2 more
2016Knowledge-Based Systems154 citations
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A novel approach to attribute reduction based on weighted neighborhood rough sets
Meng Hu, E. Tsang, Yanting Guo, Degang Chen +1 more
2021Knowledge-Based Systems144 citations
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Approximations and reducts with covering generalized rough sets
E. Tsang, Degang Chen, D. Yeung
2008Computers and Mathematics with Applications142 citations Open access
Semantic Scholar
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach
Suyun Zhao, E. Tsang, Degang Chen, Xi-Zhao Wang
2010IEEE Transactions on Knowledge and Data Engineering131 citations
Semantic Scholar
Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions
Chen Hao, Jin-Hai Li, Min Fan, Wen-Qi Liu +1 more
2017Information Sciences115 citations
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Feature selection using localized generalization error for supervised classification problems using RBFNN
Wing W. Y. Ng, D. Yeung, M. Firth, E. Tsang +1 more
2008Pattern Recognition89 citations
Semantic Scholar
Weighted Mahalanobis Distance Kernels for Support Vector Machines
De-Feng Wang, D. Yeung, E. Tsang
2007IEEE Transactions on Neural Networks86 citations
Semantic Scholar
Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems
Meng Hu, E. Tsang, Yanting Guo, Wei-Hua Xu
2021IEEE Transactions on Cybernetics77 citations
Semantic Scholar
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification
S. An, Qing-Hua Hu, W. Pedrycz, Peng Fei Zhu +1 more
2016IEEE Transactions on Cybernetics76 citations
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On fuzzy approximation operators in attribute reduction with fuzzy rough sets
Suyun Zhao, E. Tsang
2008Information Sciences75 citations
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Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving
Yan-Yan Yang, Degang Chen, Hui Wang, E. Tsang +1 more
2017Fuzzy Sets Syst.72 citations
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Incremental feature selection based on fuzzy rough sets
Peng Ni, Suyun Zhao, Xi-Zhao Wang, Hong Chen +2 more
2020Information Sciences64 citations
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Attribute reduction based on overlap degree and k-nearest-neighbor rough sets in decision information systems
Meng Hu, E. Tsang, Yanting Guo, Degang Chen +1 more
2021Information Sciences58 citations
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Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification
Bo Liu, Z. Hao, E. Tsang
2008IEEE Transactions on Neural Networks57 citations
Semantic Scholar
Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems
Xiaoxia Zhang, Degang Chen, E. Tsang
2017Information Sciences56 citations
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Minimal decision cost reduct in fuzzy decision-theoretic rough set model
Jing-Jing Song, E. Tsang, Degang Chen, Xi-Bei Yang
2017Knowledge-Based Systems50 citations
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Monotonic classification extreme learning machine
Hong Zhu, E. Tsang, Xi-Zhao Wang, Rana Aamir Raza Ashfaq
2017Neurocomputing50 citations
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Discrete differential evolutions for the discounted {0-1} knapsack problem
Hong Zhu, Yi-Chao He, Xi-Zhao Wang, E. Tsang
2017International Journal of Bio-Inspired Computation (IJBIC)49 citations
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Local logical disjunction double-quantitative rough sets
Yanting Guo, E. Tsang, Wei-Hua Xu, Degang Chen
2019Information Sciences47 citations
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Feature and instance reduction for PNN classifiers based on fuzzy rough sets
E. Tsang, Qing-Hua Hu, Degang Chen
2014International Journal of Machine Learning and Cybernetics45 citations
Semantic Scholar
Attribute-oriented cognitive concept learning strategy: a multi-level method
Bingjiao Fan, E. Tsang, Wei-Hua Xu, Degang Chen +1 more
2018International Journal of Machine Learning and Cybernetics42 citations
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Double-quantitative rough fuzzy set based decisions: A logical operations method
Bingjiao Fan, E. Tsang, Wei-Hua Xu, Jian-Hang Yu
2017Information Sciences41 citations
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Attribute reduction based on neighborhood constrained fuzzy rough sets
Meng Hu, Yanting Guo, Degang Chen, E. Tsang +1 more
2023Knowledge-Based Systems39 citations
Semantic Scholar
Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets
Yanting Guo, E. Tsang, Wei-Hua Xu, Degang Chen
2020Knowledge-Based Systems38 citations
Semantic Scholar
Incremental concept-cognitive learning approach for concept classification oriented to weighted fuzzy concepts
Chengling Zhang, E. Tsang, Wei-Hua Xu, Yidong Lin +1 more
2022Knowledge-Based Systems37 citations
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Communication Between Information Systems Using Fuzzy Rough Sets
E. Tsang, Changzhong Wang, Degang Chen, Cong-Xin Wu +1 more
2013IEEE transactions on fuzzy systems35 citations
Semantic Scholar
Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects
Yanting Guo, E. Tsang, Meng Hu, Xuxin Lin +3 more
2020Knowledge-Based Systems33 citations
Semantic Scholar
Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification
Qingshuo Zhang, E. Tsang, Qiang He, Yanting Guo
2023Knowledge-Based Systems31 citations Open access
Semantic Scholar
Nested structure in parameterized rough reduction
Suyun Zhao, Xi-Zhao Wang, Degang Chen, E. Tsang
2013Information Sciences25 citations
Semantic Scholar
Generalized Mercer theorem and its application to feature space related to indefinite kernels
Degang Chen, Heng-You Wang, E. Tsang
2008International Conference on Machine Learning and Computing25 citations
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A multiple intelligent agent system for credit risk prediction via an optimization of localized generalization error with diversity
D. Yeung, Wing W. Y. Ng, A. P. F. Chan, P. Chan +2 more
200723 citations
Semantic Scholar
Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features
E. Tsang, Bingjiao Fan, Degang Chen, Wei-Hua Xu +1 more
2019Soft Computing - A Fusion of Foundations, Methodologies and Applications22 citations
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Ellipsoidal support vector clustering for functional MRI analysis
De-Feng Wang, Lin Shi, D. Yeung, E. Tsang +1 more
2007Pattern Recognition22 citations
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Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack
P. Chan, Juan Zheng, Han Liu, E. Tsang +1 more
2021Applied Soft Computing20 citations
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Training an extreme learning machine by localized generalization error model
Hong Zhu, E. Tsang, Jie Zhu
2018Soft Computing - A Fusion of Foundations, Methodologies and Applications19 citations
Semantic Scholar
A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint
Meng Hu, E. Tsang, Yanting Guo, Qingshuo Zhang +2 more
2021International Journal of Machine Learning and Cybernetics18 citations
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Sensitivity based robust learning for stacked autoencoder against evasion attack
P. Chan, Zhe Lin, Xian Hu, E. Tsang +1 more
2017Neurocomputing17 citations
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A robust approach to attribute reduction based on double fuzzy consistency measure
Yanting Guo, Meng Hu, Xi-Zhao Wang, E. Tsang +2 more
2022Knowledge-Based Systems16 citations
Semantic Scholar
Decision Table Reduction in KDD: Fuzzy Rough Based Approach
E. Tsang, Suyun Zhao
2010Trans. Rough Sets16 citations
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Rule Induction Based on Fuzzy Rough Sets
E. Tsang, Suyun Zhao, John W. T. Lee
2007International Conference on Machine Learning and Computing16 citations
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Order based hierarchies on hesitant fuzzy approximation space
E. Tsang, Jing-Jing Song, Degang Chen, Xi-Bei Yang
2018International Journal of Machine Learning and Cybernetics15 citations
Semantic Scholar
General relation-based variable precision rough fuzzy set
E. Tsang, Bingzhen Sun, Wei-Min Ma
2015International Journal of Machine Learning and Cybernetics15 citations
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Neighborhood attribute reduction approach to partially labeled data
Keyu Liu, E. Tsang, Jing-Jing Song, Hua-Long Yu +2 more
2018Granular Computing14 citations
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Neighborhood collaborative classifiers
Su-Ping Xu, Xi-Bei Yang, E. Tsang, Eric Appiah Mantey
2016International Conference on Machine Learning and Computing14 citations
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Causative label flip attack detection with data complexity measures
P. Chan, Zhi-Min He, Xian Hu, E. Tsang +2 more
2020International Journal of Machine Learning and Cybernetics12 citations
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A new compound arithmetic crossover-based genetic algorithm for constrained optimisation in enterprise systems
Chenxia Jin, Fa-Chao Li, E. Tsang, L. Bulysheva +1 more
2017Enterprise Information Systems12 citations
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