Daniel S. Yeung

According to our database1, Daniel S. Yeung authored at least 219 papers between 1994 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2004, "For contributions to sensitivity anaylsis of neural networks and fuzzy expert systems".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Causative label flip attack detection with data complexity measures.
Int. J. Mach. Learn. Cybern., 2021

Transfer learning based countermeasure against label flipping poisoning attack.
Inf. Sci., 2021

2020
Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments.
IEEE Trans. Cybern., 2019

2018
Face Liveness Detection Using a Flash Against 2D Spoofing Attack.
IEEE Trans. Inf. Forensics Secur., 2018

Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking.
Neurocomputing, 2018

Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments.
IEEE Trans. Cybern., 2017

Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval.
Int. J. Mach. Learn. Cybern., 2017

Sensitivity based robust learning for stacked autoencoder against evasion attack.
Neurocomputing, 2017

2016
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity.
IEEE Trans. Neural Networks Learn. Syst., 2016

Adversarial Feature Selection Against Evasion Attacks.
IEEE Trans. Cybern., 2016

Dual autoencoders features for imbalance classification problem.
Pattern Recognit., 2016

Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
Asymmetric Cyclical Hashing for Large Scale Image Retrieval.
IEEE Trans. Multim., 2015

Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems.
IEEE Trans. Cybern., 2015

Sensitivity based image filtering for multi-hashing in large scale image retrieval problems.
Int. J. Mach. Learn. Cybern., 2015

Quantification of side-channel information leaks based on data complexity measures for web browsing.
Int. J. Mach. Learn. Cybern., 2015

Benefiting feature selection by the discovery of false irrelevant attributes.
Int. J. Wavelets Multiresolution Inf. Process., 2015

Two-phase mapping hashing.
Neurocomputing, 2015

Spam filtering for short messages in adversarial environment.
Neurocomputing, 2015

One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

2014
Bi-firing deep neural networks.
Int. J. Mach. Learn. Cybern., 2014

Steganalysis classifier training via minimizing sensitivity for different imaging sources.
Inf. Sci., 2014

LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model.
Neurocomputing, 2014

An improved differential evolution and its application to determining feature weights in similarity-based clustering.
Neurocomputing, 2014

A Causative Attack Against Semi-supervised Learning.
Proceedings of the Machine Learning and Cybernetics, 2014

2013
Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error.
Int. J. Wavelets Multiresolution Inf. Process., 2013

Greetings from the General Chairs.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

An improved differential evolution and its application to determining feature weights in similarity based clustering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
Dynamic fusion method using Localized Generalization Error Model.
Inf. Sci., 2012

Sparse LS-SVM two-steps model selection method.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Recovering depth from images using adaptive depth from focus.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Recent advances on machine learning and Cybernetics.
Soft Comput., 2011

Social relationship discovery and face annotation in personal photo collection.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A study on the effect of scaling functions to feature weighting performance.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

News story clustering using L-GEM based RBFNN.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Intelligent book positioning for library using RFID and book spine matching.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Multi-object tracking in video using Localized Generalization Error model based RBFNN.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Stock investment decision support for Hong Kong market using RBFNN based candlestick models.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Blind steganalysis with high generalization capability for different image databases using L-GEM.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A survey of the initialization of centers and widths in radial basis function network for classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Comparision of different classifiers in fault detection in microgrid.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A novel defend against good word attacks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Dynamic base classifier pool for classifier selection in Multiple Classifier Systems.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Sensitivity based Growing and Pruning method for RBF network in online learning environments.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Disturbance rejection using error estimation in neural network controller design.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Depth estimation from a single image using defocus cues.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Dynamic hierarchical semantic network based image retrieval using relevance feedback.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Multiple classifier system for short term load forecast of Microgrid.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
Adaptive filter design using recurrent cerebellar model articulation controller.
IEEE Trans. Neural Networks, 2010

Steganography detection using localized generalization error model.
Proceedings of the IEEE International Conference on Systems, 2010

Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Apply randomization in KNN to make the adversary harder to attack the classifier.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Construction of radial basis function neural networks via a minimization of its localized generalization error.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Access control by RFID and face recognition based on neural network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Feature weighting based on L-GEM.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A novel approach on control simulation using neural network ensemble.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

CMAC-based fault accommodation control for tank system.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Trademark classification by shape using ensemble of RBFNNs.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Anti-spoofing system for RFID access control combining with face recogntion.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Content-based image retrieval using color moment and Gabor texture feature.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Feature selection for blind steganalysis using localized generalization error model.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

RFID reader deployment using RBFNN with L-GEM.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

RFID indoor positioning using RBFNN with L-GEM.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Chaos synchronization of two uncertain chaotic nonlinear gyros using rotary sliding mode control.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Moving average crossovers for short-term equity investment with L-GEM based RBFNN.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Sensitivity Analysis for Neural Networks
Natural Computing Series, Springer, ISBN: 978-3-642-02531-0, 2010

2009
Radial Basis Function network learning using localized generalization error bound.
Inf. Sci., 2009

A Novel Dynamic Fusion Method Using Localized Generalization Error Model.
Proceedings of the IEEE International Conference on Systems, 2009

IPCM Separability Ratio for Supervised Feature Selection.
Proceedings of the IEEE International Conference on Systems, 2009

Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection.
Proceedings of the ICINCO 2009, 2009

Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
Hybridization of Fuzzy and Rough Sets: Present and Future.
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

Attributes Reduction Using Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2008

Feature selection using localized generalization error for supervised classification problems using RBFNN.
Pattern Recognit., 2008

Preface: Recent advances in granular computing.
Inf. Sci., 2008

Editorial.
Int. J. Pattern Recognit. Artif. Intell., 2008

The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine.
Int. J. Pattern Recognit. Artif. Intell., 2008

A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model.
Int. J. Pattern Recognit. Artif. Intell., 2008

A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis.
Neurocomputing, 2008

Approximations and reducts with covering generalized rough sets.
Comput. Math. Appl., 2008

Localized generalization error based active learning for image annotation.
Proceedings of the IEEE International Conference on Systems, 2008

Information extraction based on information fusion from multiple news sources from the web.
Proceedings of the IEEE International Conference on Systems, 2008

Quantitative study on candlestick pattern for Shenzhen Stock Market.
Proceedings of the IEEE International Conference on Systems, 2008

2007
Covariance-Matrix Modeling and Detecting Various Flooding Attacks.
IEEE Trans. Syst. Man Cybern. Part A, 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

Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang.
Soft Comput., 2007

Ellipsoidal support vector clustering for functional MRI analysis.
Pattern Recognit., 2007

Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error.
Pattern Recognit., 2007

Network intrusion detection in covariance feature space.
Pattern Recognit., 2007

Structured large margin machines: sensitive to data distributions.
Mach. Learn., 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.
Int. J. Pattern Recognit. Artif. Intell., 2007

Internet Anomaly Detection Based on Statistical Covariance Matrix.
Int. J. Pattern Recognit. Artif. Intell., 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

Heuristic improvement for active learning using localized generalization error as selection criterion.
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
Structured One-Class Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction.
Soft Comput., 2006

Preface for the special issue: soft computing in machine learning and cybernetics in the journal <i>Soft Computing</i>.
Soft Comput., 2006

Rough sets and ordinal reducts.
Soft Comput., 2006

Computation of Madalines' Sensitivity to Input and Weight Perturbations.
Neural Comput., 2006

Rough approximations on a complete completely distributive lattice with applications to generalized rough sets.
Inf. Sci., 2006

Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure.
Neurocomputing, 2006

Learning Web Categorization with Controlled Generation of Context Features.
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

Improving Text Classifier Performance based on AUC.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
General multifractional Fourier transform method based on the generalized permutation matrix group.
IEEE Trans. Signal Process., 2005

On the generalization of fuzzy rough sets.
IEEE Trans. Fuzzy Syst., 2005

Hierarchical clustering based on ordinal consistency.
Pattern Recognit., 2005

A multiple classifier approach to detect Chinese character recognition errors.
Pattern Recognit., 2005

Sensitivity analysis applied to the construction of radial basis function networks.
Neural Networks, 2005

FNDS: a dialogue-based system for accessing digested financial news.
J. Syst. Softw., 2005

A hybrid post-processing system for offline handwritten chinese character recognition based on a statistical language model.
Int. J. Pattern Recognit. Artif. Intell., 2005

A Hybrid Language Model Based On Statistics And Linguistic Rules.
Int. J. Pattern Recognit. Artif. Intell., 2005

Combining multiple classifiers based on a statistical method for handwritten Chinese character recognition.
Int. J. Pattern Recognit. Artif. Intell., 2005

A genetic algorithm for solving the inverse problem of support vector machines.
Neurocomputing, 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

Active learning using localized generalization error of candidate sample as criterion.
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

Use of Linguistic Features in Context-Sensitive Text Classification.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Sensitivity Analysis of Madalines to Weight Perturbation.
Proceedings of the Advances in Machine Learning and Cybernetics, 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

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. Syst. Man Cybern. Part B, 2004

Mining Pinyin-to-character conversion rules from large-scale corpus: a rough set approach.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Refinement of generated fuzzy production rules by using a fuzzy neural network.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Feature Selection For Chinese Character Recognition Based On Inductive Learning.
Int. J. Pattern Recognit. Artif. Intell., 2004

A study on generalization capability of weighted fuzzy production rules with maximum entropy.
Proceedings of the IEEE International Conference on Systems, 2004

Quantitative study on effect of center selection to RBFNN classification performance.
Proceedings of the IEEE International Conference on Systems, 2004

Critical Vector Learning to Construct RBF Classifiers.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

A covariance analysis model for DDoS attack detection.
Proceedings of IEEE International Conference on Communications, 2004

Radial Basis Function Network Pruning by Sensitivity Analysis.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
OFFSS: optimal fuzzy-valued feature subset selection.
IEEE Trans. Fuzzy Syst., 2003

ASAB: a Chinese screen reader.
Softw. Pract. Exp., 2003

A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation.
Neural Comput., 2003

An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese Characters.
Int. J. Pattern Recognit. Artif. Intell., 2003

Determining the relevance of input features for multilayer perceptrons.
Proceedings of the IEEE International Conference on Systems, 2003

Input sample selection for RBF neural network classification problems using sensitivity measure.
Proceedings of the IEEE International Conference on Systems, 2003

Monotonic decision tree for ordinal classification.
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. Syst. Man Cybern. Part B, 2002

Using function approximation to analyze the sensitivity of MLP with antisymmetric squashing activation function.
IEEE Trans. Neural Networks, 2002

Ordinal fuzzy sets.
IEEE Trans. Fuzzy Syst., 2002

Improving Performance of Similarity-Based Clustering by Feature Weight Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001
A comparative study on heuristic algorithms for generating fuzzy decision trees.
IEEE Trans. Syst. Man Cybern. Part B, 2001

Sensitivity analysis of multilayer perceptron to input and weight perturbations.
IEEE Trans. Neural Networks, 2001

Determination of Context Window Size.
Int. J. Comput. Process. Orient. Lang., 2001

A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm.
Int. J. Comput. Intell. Appl., 2001

A new approach to fuzzy rule generation: fuzzy extension matrix.
Fuzzy Sets Syst., 2001

Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance.
Comput. Intell., 2001

From global weight to fuzzy measure: handling interaction among fuzzy rules.
Proceedings of the IEEE International Conference on Systems, 2001

Using neural network classifier in post-processing system for handwritten Chinese character recognition.
Proceedings of the IEEE International Conference on Systems, 2001

Learning weights of fuzzy production rules by a max-min neural network.
Proceedings of the IEEE International Conference on Systems, 2001

Sensitivity Analysis of Multilayer Perceptron.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Neuro-Fuzzy Approach for Maintaining Case Bases.
Proceedings of the Soft Computing in Case Based Reasoning, 2001

2000
Improving learning accuracy of fuzzy decision trees by hybrid neural networks.
IEEE Trans. Fuzzy Syst., 2000

Sensitivity analysis of multilayer perceptron to input perturbation.
Proceedings of the IEEE International Conference on Systems, 2000

Using a neuro-fuzzy technique to improve the clustering based on similarity.
Proceedings of the IEEE International Conference on Systems, 2000

Using fuzzy integral to modeling case based reasoning with feature interaction.
Proceedings of the IEEE International Conference on 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

Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

Detection of Language (Model) Errors.
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 2000

Digital library access for Chinese visually impaired.
Proceedings of the Fifth ACM Conference on Digital Libraries, 2000

1999
Sensitivity analysis of neocognitron.
IEEE Trans. Syst. Man Cybern. Part C, 1999

Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets.
J. Intell. Fuzzy Syst., 1999

Neocognitron's Parameter Tuning by Genetic Algorithms.
Int. J. Neural Syst., 1999

1998
A multilevel weighted fuzzy reasoning algorithm for expert systems.
IEEE Trans. Syst. Man Cybern. Part A, 1998

Ambiguity handling of similar categories in handwritten Chinese character recognition.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Neocognitron based handwriting recognition system performance tuning using genetic algorithm.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Experiments on the use of corpus-based word BI-gram in Chinese word segmentation.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A proposed model for developing distributed programs by prototyping.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 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

An extension of a fuzzy substroke extractor.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
A comparative study on similarity-based fuzzy reasoning methods.
IEEE Trans. Syst. Man Cybern. Part B, 1997

Weighted fuzzy production rules.
Fuzzy Sets Syst., 1997

Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networks.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1997

Formal verification of the correctness in hybrid expert systems.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1997

Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

1996
A fuzzy substroke extractor for handwritten Chinese characters.
Pattern Recognit., 1996

Behavioural modelling in object-oriented methodology.
Inf. Softw. Technol., 1996

Automatic Software Generation in the OORHS Distributed Computing Framework.
Proceedings of the 1996 International Symposium on Parallel Architectures, 1996

A Communication Layer for the Construction of Global, Transparent and Quasi-optimal Virtual Machines for Distributed Computing.
Proceedings of the 1996 International Symposium on Parallel Architectures, 1996

1995
A knowledge matrix representation for a rule-mapped neural network.
Neurocomputing, 1995

Modelling Hybrid Rule/Frame-Based Expert Systems Using Coloured Petri Nets.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

1994
Handwritten Chinese Character Recognition by Rule-Embedded Neocognitron.
Neural Comput. Appl., 1994

Incorporating Production Rules with Spatial Information Onto a Neocognitron Neural Network.
Int. J. Neural Syst., 1994

A Hybrid Cognitive System Using Production Rules to Synthesize Neocognitrons.
Int. J. Neural Syst., 1994

Improved fuzzy knowledge representation and rule evaluation using fuzzy petri nets and degree of subsethood.
Int. J. Intell. Syst., 1994

Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994


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