# Eric C. C. Tsang

According to our database

Collaborative distances:

^{1}, Eric C. C. Tsang authored at least 107 papers between 1994 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Training an extreme learning machine by localized generalization error model.

Soft Comput., 2018

2017

General relation-based variable precision rough fuzzy set.

Int. J. Machine Learning & Cybernetics, 2017

Minimal decision cost reduct in fuzzy decision-theoretic rough set model.

Knowl.-Based Syst., 2017

Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems.

Inf. Sci., 2017

Optimal scale selection in dynamic multi-scale decision tables based on sequential three-way decisions.

Inf. Sci., 2017

Double-quantitative rough fuzzy set based decisions: A logical operations method.

Inf. Sci., 2017

Monotonic classification extreme learning machine.

Neurocomputing, 2017

Sensitivity based robust learning for stacked autoencoder against evasion attack.

Neurocomputing, 2017

Discrete differential evolutions for the discounted {0-1} knapsack problem.

IJBIC, 2017

Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving.

Fuzzy Sets and Systems, 2017

A new compound arithmetic crossover-based genetic algorithm for constrained optimisation in enterprise systems.

Enterprise IS, 2017

Weights based ranked fuzzy rough reduction.

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

A weighted multi-granulation decision-theoretic approach to multi-source decision systems.

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

2016

Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification.

IEEE Trans. Cybernetics, 2016

Feature and instance reduction for PNN classifiers based on fuzzy rough sets.

Int. J. Machine Learning & Cybernetics, 2016

Multi-label learning with label-specific feature reduction.

Knowl.-Based Syst., 2016

Neighborhood collaborative classifiers.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Random analysis of statistical rough set.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Minimum decision cost reduct for fuzzy decision-theoretic rough set model.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015

The comparative study of fuzzy rough reduction.

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Basic properties of fuzzy approximation operators under consistent functions.

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

A method to fuzzy multi-objective problems under random environment.

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

A Fast Algorithm to Building a Fuzzy Rough Classifier.

Proceedings of the Machine Learning and Cybernetics, 2014

Neighbourhood-assignment attribute reduction based on general binary relations.

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Face Recognition Using Genetic Algorithm.

Proceedings of the Machine Learning and Cybernetics, 2014

2013

Communication Between Information Systems Using Fuzzy Rough Sets.

IEEE Trans. Fuzzy Systems, 2013

Nested structure in parameterized rough reduction.

Inf. Sci., 2013

The topological structure in parameterized rough sets.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Generalized variable precision probabilistic rough set.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Attribute reduction and attribute characteristics of formal contexts.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012

Attribute reduction based on interval valued fuzzy granules.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Variable precision rough fuzzy set model based on general relations.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

An attribute reduction method based on core samples set.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

A property of reductions in Fuzzy Variable Precision Rough Set model.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Decision Table Reduction in KDD: Fuzzy Rough Based Approach.

Trans. Rough Sets, 2010

Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach.

IEEE Trans. Knowl. Data Eng., 2010

On the fuzzy generalization of the Dempster-Shafer theory of evidence.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Sample selection with rough set.

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009

The Model of Fuzzy Variable Precision Rough Sets.

IEEE Trans. Fuzzy Systems, 2009

2008

Hybridization of Fuzzy and Rough Sets: Present and Future.

Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification.

IEEE Trans. Neural Networks, 2008

Attributes Reduction Using Fuzzy Rough Sets.

IEEE Trans. Fuzzy Systems, 2008

Feature selection using localized generalization error for supervised classification problems using RBFNN.

Pattern Recognition, 2008

On fuzzy approximation operators in attribute reduction with fuzzy rough sets.

Inf. Sci., 2008

The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine.

IJPRAI, 2008

A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model.

IJPRAI, 2008

Approximations and reducts with covering generalized rough sets.

Computers & Mathematics with Applications, 2008

2007

Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network.

IEEE Trans. Neural Networks, 2007

Weighted Mahalanobis Distance Kernels for Support Vector Machines.

IEEE Trans. Neural Networks, 2007

Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries.

Soft Comput., 2007

Ellipsoidal support vector clustering for functional MRI analysis.

Pattern Recognition, 2007

Structured large margin machines: sensitive to data distributions.

Machine Learning, 2007

Learning fuzzy rules from fuzzy samples based on rough set technique.

Inf. Sci., 2007

Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge Refinement.

IJPRAI, 2007

Stability analysis of a discrete Hopfield neural network with delay.

Neurocomputing, 2007

Sample Reduction for SVMs via Data Structure Analysis.

Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007

An approach of attributes reduction based on fuzzy TL rough sets.

Proceedings of the IEEE International Conference on Systems, 2007

Neural network ensemble pruning using sensitivity measure in web applications.

Proceedings of the IEEE International Conference on Systems, 2007

2006

Preface for the special issue: soft computing in machine learning and cybernetics in the journal

*Soft Computing*.
Soft Comput., 2006

Rough sets and ordinal reducts.

Soft Comput., 2006

Rough approximations on a complete completely distributive lattice with applications to generalized rough sets.

Inf. Sci., 2006

A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine.

Proceedings of the IEEE International Conference on Systems, 2006

Structured Large Margin Machine Ensemble.

Proceedings of the IEEE International Conference on Systems, 2006

Bankruptcy Prediction Using Multiple Classifier System with Mutual Information Feature Grouping.

Proceedings of the IEEE International Conference on Systems, 2006

2005

General multifractional Fourier transform method based on the generalized permutation matrix group.

IEEE Trans. Signal Processing, 2005

On the generalization of fuzzy rough sets.

IEEE Trans. Fuzzy Systems, 2005

Hierarchical clustering based on ordinal consistency.

Pattern Recognition, 2005

An Approach To Case-Based Maintenance: Selecting Representative Cases.

IJPRAI, 2005

Some notes on equivalent fuzzy sets and fuzzy subgroups.

Fuzzy Sets and Systems, 2005

Stability Analysis of Discrete Hopfield Neural Networks With Delay and Its Application.

Proceedings of the IEEE International Conference on Systems, 2005

On attributes reduction with fuzzy rough sets.

Proceedings of the IEEE International Conference on Systems, 2005

Quantitative study on the generalization error of multiple classifier systems.

Proceedings of the IEEE International Conference on Systems, 2005

A feature space analysis for anomaly detection.

Proceedings of the IEEE International Conference on Systems, 2005

Support Vector Clustering for Brain Activation Detection.

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach.

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique.

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure.

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Covariance Matrix Based Approach to Internet Anomaly Detection.

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural Approach.

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

On the Local Reduction of Information System.

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection.

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Gene Selection Through Sensitivity Analysis of Support Vector Machines.

Proceedings of the Computational Life Sciences, First International Symposium, 2005

2004

Handling interaction in fuzzy production rule reasoning.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Feature Selection For Chinese Character Recognition Based On Inductive Learning.

IJPRAI, 2004

2003

OFFSS: optimal fuzzy-valued feature subset selection.

IEEE Trans. Fuzzy Systems, 2003

An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters.

IJPRAI, 2003

Selecting representative cases by generalization capability.

Proceedings of the IEEE International Conference on Systems, 2003

2002

Tuning certainty factor and local weight of fuzzy production rules by using fuzzy neural network.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Ordinal fuzzy sets.

IEEE Trans. Fuzzy Systems, 2002

2001

A comparative study on heuristic algorithms for generating fuzzy decision trees.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

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, 2001

Learning weights of fuzzy production rules by a max-min neural network.

Proceedings of the IEEE International Conference on Systems, 2001

A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay.

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Improving learning accuracy of fuzzy decision trees by hybrid neural networks.

IEEE Trans. Fuzzy Systems, 2000

Refinement of fuzzy production rules by neuro-fuzzy networks.

Proceedings of the IEEE International Conference on Systems, 2000

Fuzzy weighted classification rules induction from data.

Proceedings of the IEEE International Conference on Systems, 2000

Mining fuzzy association rules with weighted items.

Proceedings of the IEEE International Conference on Systems, 2000

Stability of discrete Hopfield neural networks with time-delay.

Proceedings of the IEEE International Conference on Systems, 2000

1999

Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets.

Journal of Intelligent and Fuzzy Systems, 1999

1998

A multilevel weighted fuzzy reasoning algorithm for expert systems.

IEEE Trans. Systems, Man, and Cybernetics, Part A, 1998

Refinement of knowledge representation parameters in fuzzy production rules by genetic algorithms.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Refining local weights and certainty factors using a fuzzy neural network.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Evaluation of printed circuit board assembly manufacturing systems using fuzzy colored Petri nets.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997

A comparative study on similarity-based fuzzy reasoning methods.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 1997

Weighted fuzzy production rules.

Fuzzy Sets and Systems, 1997

Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks.

Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1997

1994

Improved fuzzy knowledge representation and rule evaluation using fuzzy petri nets and degree of subsethood.

Int. J. Intell. Syst., 1994