Xizhao Wang

According to our database1, Xizhao Wang authored at least 288 papers between 1997 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to development of fuzzy decision tree and clustering techniques".

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Bounded exponential loss function based AdaBoost ensemble of OCSVMs.
Pattern Recognit., April, 2024

Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation.
IEEE Trans. Fuzzy Syst., February, 2024

2023
ELM parameter estimation in view of maximum likelihood.
Neurocomputing, November, 2023

New attention strategy for negative sampling in knowledge graph embedding.
Appl. Intell., November, 2023

Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping.
Int. J. Approx. Reason., September, 2023

Evolving stochastic configure network: A more compact model with interpretability.
Inf. Sci., August, 2023

A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings.
Comput. Electr. Eng., August, 2023

A broad review on class imbalance learning techniques.
Appl. Soft Comput., August, 2023

Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

A Review of Generalized Zero-Shot Learning Methods.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Algorithm for orthogonal matrix nearness and its application to feature representation.
Inf. Sci., April, 2023

A study on relationship between prediction uncertainty and robustness to noisy data.
Int. J. Syst. Sci., April, 2023

Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures.
IEEE Trans. Fuzzy Syst., March, 2023

A review of artificial fish swarm algorithms: recent advances and applications.
Artif. Intell. Rev., March, 2023

Guest Editorial Cognitive Cyber-Physical Systems With AI Based Solutions in Medical Informatics.
IEEE J. Biomed. Health Informatics, February, 2023

Cost-Sensitive Active Learning for Incomplete Data.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Adversarial Learning With Cost-Sensitive Classes.
IEEE Trans. Cybern., 2023

Uncertainty guided pruning of classification model tree.
Knowl. Based Syst., 2023

Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Local Weighted Neighborhood Rough Sets for Weakly Labeled Data.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022
Multi-Instance Ensemble Learning With Discriminative Bags.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor.
IEEE Trans. Fuzzy Syst., 2022

MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion.
Neural Networks, 2022

Towards improving fast adversarial training in multi-exit network.
Neural Networks, 2022

Correction to: Recent advances in multiple criteria decision making techniques.
Int. J. Mach. Learn. Cybern., 2022

Recent advances in multiple criteria decision making techniques.
Int. J. Mach. Learn. Cybern., 2022

Knowledge graph embedding with self adaptive double-limited loss.
Knowl. Based Syst., 2022

A robust approach to attribute reduction based on double fuzzy consistency measure.
Knowl. Based Syst., 2022

Handling missing data through deep convolutional neural network.
Inf. Sci., 2022

Stable matching-based two-way selection in multi-label active learning with imbalanced data.
Inf. Sci., 2022

A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.
Neurocomputing, 2022

Intuitionistic fuzzy twin support vector machines for imbalanced data.
Neurocomputing, 2022

Learning to recommend journals for submission based on embedding models.
Neurocomputing, 2022

Adjustable super-resolution network via deep supervised learning and progressive self-distillation.
Neurocomputing, 2022

MFF: Multi-modal feature fusion for zero-shot learning.
Neurocomputing, 2022

Oracle-guided Contrastive Clustering.
CoRR, 2022

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos.
Appl. Soft Comput., 2022

2021
ETA-rPPGNet: Effective Time-Domain Attention Network for Remote Heart Rate Measurement.
IEEE Trans. Instrum. Meas., 2021

An Accelerator for Rule Induction in Fuzzy Rough Theory.
IEEE Trans. Fuzzy Syst., 2021

AdvKin: Adversarial Convolutional Network for Kinship Verification.
IEEE Trans. Cybern., 2021

Fast Supervised Topic Models for Short Text Emotion Detection.
IEEE Trans. Cybern., 2021

Bidirectional stochastic configuration network for regression problems.
Neural Networks, 2021

Group theory-based optimization algorithm for solving knapsack problems.
Knowl. Based Syst., 2021

Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines.
Inf. Sci., 2021

Vibration fault diagnosis based on stochastic configuration neural networks.
Neurocomputing, 2021

Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering.
Comput. Electr. Eng., 2021

Dual VAEGAN: A generative model for generalized zero-shot learning.
Appl. Soft Comput., 2021

A Novel Approach to Ship Operational Risk Analysis Based on D-S Evidence Theory.
Proceedings of the Neural Computing for Advanced Applications, 2021

An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

2020
Jointly Sparse Locality Regression for Image Feature Extraction.
IEEE Trans. Multim., 2020

A study on the relationship between the rank of input data and the performance of random weight neural network.
Neural Comput. Appl., 2020

Bibliometric analysis of support vector machines research trend: a case study in China.
Int. J. Mach. Learn. Cybern., 2020

Ensemble with estimation: seeking for optimization in class noisy data.
Int. J. Mach. Learn. Cybern., 2020

Recent advances in deep learning.
Int. J. Mach. Learn. Cybern., 2020

New advances in three-way decision, granular computing and concept lattice.
Int. J. Mach. Learn. Cybern., 2020

A bibliometric analysis on deep learning during 2007-2019.
Int. J. Mach. Learn. Cybern., 2020

Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning.
Knowl. Based Syst., 2020

NetSRE: Link predictability measuring and regulating.
Knowl. Based Syst., 2020

Knowledge reduction methods of covering approximate spaces based on concept lattice.
Knowl. Based Syst., 2020

Erratum to "Entropy-based fuzzy support vector machine for imbalanced datasets" [Knowl.-Based Syst. 115 (2017) 87-99].
Knowl. Based Syst., 2020

An analysis on the relationship between uncertainty and misclassification rate of classifiers.
Inf. Sci., 2020

TOPSIS-WAA method based on a covering-based fuzzy rough set: An application to rating problem.
Inf. Sci., 2020

Deep joint neural model for single image haze removal and color correction.
Inf. Sci., 2020

Incremental feature selection based on fuzzy rough sets.
Inf. Sci., 2020

A novel dataset-specific feature extractor for zero-shot learning.
Neurocomputing, 2020

Discernibility matrix based incremental feature selection on fused decision tables.
Int. J. Approx. Reason., 2020

Generalized Adversarial Examples: Attacks and Defenses.
CoRR, 2020

A Review of Generalized Zero-Shot Learning Methods.
CoRR, 2020

Feature selection based on improved binary global harmony search for data classification.
Appl. Soft Comput., 2020

Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables.
Proceedings of the Neural Computing for Advanced Applications, 2020

A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

2019
Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification.
IEEE Trans. Ind. Informatics, 2019

Intuitionistic Fuzzy Twin Support Vector Machines.
IEEE Trans. Fuzzy Syst., 2019

Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution.
IEEE Trans. Fuzzy Syst., 2019

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

Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method.
IEEE Trans. Cybern., 2019

A bibliometric overview of <i>International Journal of Machine Learning and Cybernetics</i> between 2010 and 2017.
Int. J. Mach. Learn. Cybern., 2019

An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments.
Int. J. Mach. Learn. Cybern., 2019

Improved bidirectional extreme learning machine based on enhanced random search.
Memetic Comput., 2019

An off-center technique: Learning a feature transformation to improve the performance of clustering and classification.
Inf. Sci., 2019

Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning.
Inf. Sci., 2019

PARA: A positive-region based attribute reduction accelerator.
Inf. Sci., 2019

Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things.
IEEE Internet Things J., 2019

Seemingly unrelated extreme learning machine.
Neurocomputing, 2019

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification.
Neurocomputing, 2019

A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification.
Neurocomputing, 2019

Impact of Fuzziness Measures on the Performance of Semi-supervised Learning.
Int. J. Fuzzy Syst., 2019

Weight learning from cost matrix in weighted least squares model based on genetic algorithm.
Int. J. Bio Inspired Comput., 2019

Introduction to the Special Section on Applying Machine Learning Systems for IoT Services in Industrial Informatics.
Appl. Soft Comput., 2019

Ring Theory-Based Evolutionary Algorithm and its application to D{0-1} KP.
Appl. Soft Comput., 2019

A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers.
IEEE Access, 2019

Camera2Video: A Low-Cost Food Authentication System Using Smartphone Videos.
Proceedings of the 2019 2nd International Conference on Sensors, 2019

mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW.
Proceedings of the International Joint Conference on Neural Networks, 2019

Feature Selection for Data Classification based on Binary Brain Storm Optimization.
Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

Measure community quality by attribute importance and density in social networks.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Feature Selection Based on Neighborhood Discrimination Index.
IEEE Trans. Neural Networks Learn. Syst., 2018

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

Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2018

Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.
IEEE Trans. Cybern., 2018

Non-iterative approaches in training feed-forward neural networks and their applications.
Soft Comput., 2018

Three-way decisions, concept lattice and granular computing: Editorial.
Int. J. Mach. Learn. Cybern., 2018

A deep stochastic weight assignment network and its application to chess playing.
J. Parallel Distributed Comput., 2018

Tolerance rough fuzzy decision tree.
Inf. Sci., 2018

Uncertainty learning of rough set-based prediction under a holistic framework.
Inf. Sci., 2018

Guest Editorial Special Issue on Integrated Computing: Computational Intelligence Paradigms and Internet of Things for Industrial Applications.
IEEE Internet Things J., 2018

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

Sensitivity of data matrix rank in non-iterative training.
Neurocomputing, 2018

A review on neural networks with random weights.
Neurocomputing, 2018

Multi-image matching for object recognition.
IET Comput. Vis., 2018

A novel binary artificial bee colony algorithm for the set-union knapsack problem.
Future Gener. Comput. Syst., 2018

A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application.
Future Gener. Comput. Syst., 2018

Weight Learning in Weighted ELM Classification Model Based on Genetic Algorithms.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

A New Type-2 Intuitionistic Exponential Triangular Fuzzy Number and Its Ranking Method with Centroid Concept and Euclidean Distance.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine.
Proceedings of ELM 2018, 2018

2017
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning.
IEEE Trans. Fuzzy Syst., 2017

Selective ensemble of SVDDs with Renyi entropy based diversity measure.
Pattern Recognit., 2017

Impact of fuzziness categorization on divide and conquer strategy for instance selection.
J. Intell. Fuzzy Syst., 2017

A ranking-based adaptive artificial bee colony algorithm for global numerical optimization.
Inf. Sci., 2017

Fuzziness based semi-supervised learning approach for intrusion detection system.
Inf. Sci., 2017

Analysis on fast training speed of extreme learning machine and replacement policy.
Int. J. Wirel. Mob. Comput., 2017

A cost-sensitive semi-supervised learning model based on uncertainty.
Neurocomputing, 2017

Monotonic classification extreme learning machine.
Neurocomputing, 2017

Information Fusion Based on Information Entropy in Fuzzy Multi-source Incomplete Information System.
Int. J. Fuzzy Syst., 2017

Discrete differential evolutions for the discounted {0-1} knapsack problem.
Int. J. Bio Inspired Comput., 2017

Comparison of reduction in formal decision contexts.
Int. J. Approx. Reason., 2017

2016
Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes.
Neural Process. Lett., 2016

Granular reducts of formal fuzzy contexts.
Knowl. Based Syst., 2016

A cross-selection instance algorithm.
J. Intell. Fuzzy Syst., 2016

Segmenting time series with connected lines under maximum error bound.
Inf. Sci., 2016

Voting-based instance selection from large data sets with MapReduce and random weight networks.
Inf. Sci., 2016

Exact and approximate algorithms for discounted {0-1} knapsack problem.
Inf. Sci., 2016

Fuzzy nonlinear regression analysis using a random weight network.
Inf. Sci., 2016

Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

An approach to sample selection from big data for classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Deep stochastic weight assignment network of Chinese chess machine game.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

A novel approach for epileptic EEG signals classification based on biclustering technique.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Extreme learning machine based on cross entropy.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning.
IEEE Trans. Fuzzy Syst., 2015

Segment Based Decision Tree Induction With Continuous Valued Attributes.
IEEE Trans. Cybern., 2015

Performance improvement of classifier fusion for batch samples based on upper integral.
Neural Networks, 2015

Fuzziness based sample categorization for classifier performance improvement.
J. Intell. Fuzzy Syst., 2015

Learning from big data with uncertainty - editorial.
J. Intell. Fuzzy Syst., 2015

Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine.
Intell. Data Anal., 2015

Editorial: Uncertainty in learning from big data.
Fuzzy Sets Syst., 2015

OWA operator based link prediction ensemble for social network.
Expert Syst. Appl., 2015

Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

The failure analysis of extreme learning machine on big data and the counter measure.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014
Guest editorial: learning from uncertainty and its application to intelligent systems of web information.
World Wide Web, 2014

A New Approach to Classifier Fusion Based on Upper Integral.
IEEE Trans. Cybern., 2014

Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes.
IEEE Trans. Cybern., 2014

Domain ontology graph model and its application in Chinese text classification.
Neural Comput. Appl., 2014

Advances in neural network based learning.
Int. J. Mach. Learn. Cybern., 2014

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis.
Inf. Sci., 2014

A study on residence error of training an extreme learning machine and its application to evolutionary algorithms.
Neurocomputing, 2014

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

A study on relationships between heuristics and optimal cuts in decision tree induction.
Comput. Electr. Eng., 2014

Ensemble online sequential extreme learning machine for large data set classification.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Classification of BGP anomalies using decision trees and fuzzy rough sets.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Dynamic Ensemble of Rough Set Reducts for Data Classification.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Integrating Local Information-based Link Prediction Algorithms with OWA Operator.
Proceedings of the ICPRAM 2014, 2014

Monotonic Decision Tree for Interval Valued Data.
Proceedings of the Machine Learning and Cybernetics, 2014

Extreme Learning Machine for Interval-Valued Data.
Proceedings of the Machine Learning and Cybernetics, 2014

Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce.
Proceedings of the Machine Learning and Cybernetics, 2014

An Improved Approach to Ordinal Classification.
Proceedings of the Machine Learning and Cybernetics, 2014

Study and Improvement of Ordinal Decision Trees Based on Rank Entropy.
Proceedings of the Machine Learning and Cybernetics, 2014

Regression ensemble with PSO algorithms based fuzzy integral.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A New Method for Knowledge and Information Management Domain Ontology Graph Model.
IEEE Trans. Syst. Man Cybern. Syst., 2013

A Combined Position Evaluation Function in Chinese Chess Computer Game.
Trans. Comput. Sci., 2013

Nested structure in parameterized rough reduction.
Inf. Sci., 2013

A new and informative active learning approach for support vector machine.
Inf. Sci., 2013

Architecture selection for networks trained with extreme learning machine using localized generalization error model.
Neurocomputing, 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
Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction.
IEEE Trans. Knowl. Data Eng., 2012

Dynamic ensemble extreme learning machine based on sample entropy.
Soft Comput., 2012

Editorial.
Soft Comput., 2012

A study on random weights between input and hidden layers in extreme learning machine.
Soft Comput., 2012

Local similarity and diversity preserving discriminant projection for face and handwriting digits recognition.
Neurocomputing, 2012

Optimal bandwidth selection for re-substitution entropy estimation.
Appl. Math. Comput., 2012

A total error rate multi-class classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Instance selection based on sample entropy for efficient data classification with ELM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A Rank Reduced Matrix Method in Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Naive Bayesian Classifier Based on Neighborhood Probability.
Proceedings of the Advances in Computational Intelligence, 2012

Improving kernel incapability by equivalent probability in flexible naïve Bayesian.
Proceedings of the FUZZ-IEEE 2012, 2012

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

Particle swarm optimization for determining fuzzy measures from data.
Inf. Sci., 2011

Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique.
Neurocomputing, 2011

Upper integral network with extreme learning mechanism.
Neurocomputing, 2011

Rough set model and its eight extensions.
Proceedings of the IEEE International Conference on Systems, 2011

A comparative experimental study of feature-weight learning approaches.
Proceedings of the IEEE International Conference on Systems, 2011

A modified AdaBoost method for one-class SVM and its application to novelty detection.
Proceedings of the IEEE International Conference on Systems, 2011

Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

A comparative study among different kernel functions in flexible naïve Bayesian classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach.
IEEE Trans. Knowl. Data Eng., 2010

International journal of machine learning and cybernetics.
Int. J. Mach. Learn. Cybern., 2010

FRSVMs: Fuzzy rough set based support vector machines.
Fuzzy Sets Syst., 2010

Side effect of cut in decision tree generation for continuous attributes.
Proceedings of the IEEE International Conference on Systems, 2010

A survey on active learning strategy.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Discretization of continuous-valued attributes in decision tree generation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

A new approach to improving generalization ability of feed-foward neural networks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
Improving Generalization of Fuzzy IF-THEN Rules by Maximizing Fuzzy Entropy.
IEEE Trans. Fuzzy Syst., 2009

Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM.
Proceedings of the IEEE International Conference on Systems, 2009

An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction.
Proceedings of the IEEE International Conference on Systems, 2009

A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions.
Proceedings of the Rough Sets, 2009

An Improved Cluster Oriented Fuzzy Decision Trees.
Proceedings of the Rough Sets, 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

Induction of multiple fuzzy decision trees based on rough set technique.
Inf. Sci., 2008

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

Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description.
Int. J. Pattern Recognit. Artif. Intell., 2008

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

A model of finite-step random walk with absorbent boundaries.
Int. J. Comput. Math., 2008

Application of kernel learning vector quantization to novelty detection.
Proceedings of the IEEE International Conference on Systems, 2008

Optimization of combined kernel function for SVM based on large margin learning theory.
Proceedings of the IEEE International Conference on Systems, 2008

Parametric tuning of rule-based systems by maximum fuzzy entropy.
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

A Nonlinear Integral Defined on Partition and its Application to Decision Trees.
Soft Comput., 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

An On-Line Multi-CBR Agent Dispatching Algorithm.
Soft Comput., 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

Internet Anomaly Detection Based on Statistical Covariance Matrix.
Int. J. Pattern Recognit. Artif. Intell., 2007

Training T-S norm neural networks to refine weights for fuzzy if-then rules.
Neurocomputing, 2007

On linear separability of data sets in feature space.
Neurocomputing, 2007

A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses.
Proceedings of the IEEE International Conference on Systems, 2007

Solving SVM inverse problems based on clustering.
Proceedings of the IEEE International Conference on Systems, 2007

Heuristic improvement for active learning using localized generalization error as selection criterion.
Proceedings of the IEEE International Conference on Systems, 2007

Attribute Reduction Based on Fuzzy Rough Sets.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

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

A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction.
Proceedings of the IEEE International Conference on Systems, 2006

Induction of Multi-stage decision tree.
Proceedings of the IEEE International Conference on Systems, 2006

A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

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

An Approach To Case-Based Maintenance: Selecting Representative Cases.
Int. J. Pattern Recognit. Artif. Intell., 2005

A genetic algorithm for solving the inverse problem of support vector machines.
Neurocomputing, 2005

Multilevel weighted fuzzy reasoning with interaction.
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

Organizing Large Case Library by Linear Programming.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Using Special Structured Fuzzy Measure to Represent Interaction Among IF-THEN Rules.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Reduction of Attributes in Ordinal Decision Systems.
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

A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

The Infinite Polynomial Kernel for Support Vector Machine.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
Handling interaction in fuzzy production rule reasoning.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Improving fuzzy c-means clustering based on feature-weight learning.
Pattern Recognit. Lett., 2004

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

Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

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

A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems.
Soft Comput., 2003

Sequences of (S) fuzzy integrable functions.
Fuzzy Sets Syst., 2003

Core and reduction from mutual relation view and their fuzzy generalization.
Proceedings of the IEEE International Conference on Systems, 2003

Selecting representative cases by generalization capability.
Proceedings of the IEEE International Conference on Systems, 2003

Monotonic decision tree for ordinal classification.
Proceedings of the IEEE International Conference on Systems, 2003

Selection of Parameters in Building Fuzzy Decision Trees.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

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

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

Iteration algorithms for solving a system of fuzzy linear equations.
Fuzzy Sets Syst., 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

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

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

A Fuzzy-Rough Approach for Case Base Maintenance.
Proceedings of the Case-Based Reasoning Research and Development, 2001

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

On the optimization of fuzzy decision trees.
Fuzzy Sets Syst., 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

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

1999
Learning optimization in simplifying fuzzy rules.
Fuzzy Sets Syst., 1999

1998
Note on maxmin μ/E estimation.
Fuzzy Sets Syst., 1998

On the handling of fuzziness for continuous-valued attributes in decision tree generation.
Fuzzy Sets Syst., 1998

Fundamental convergence of sequences of measurable functions on fuzzy measure space.
Fuzzy Sets Syst., 1998

1997
Some notes on the regularity of fuzzy measures on metric spaces.
Fuzzy Sets Syst., 1997

Notes on Riesz's theorem on fuzzy measure space.
Fuzzy Sets Syst., 1997


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