Xizhao Wang

Wei-Tao Liu

Pattern Recognit., April, 2024

Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation.

[BibT_eX]

[DOI]

Tianlun Zhang

IEEE Trans. Fuzzy Syst., February, 2024

Domain-incremental learning without forgetting based on random vector functional link networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Modeling and solving of knapsack problem with setup based on evolutionary algorithm.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2024

A novel discrete differential evolution algorithm combining transfer function with modulo operation for solving the multiple knapsack problem.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Attribute reduction with fuzzy kernel-induced relations.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Concept-cognitive learning survey: Mining and fusing knowledge from data.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Empirical study of outlier impact in classification context.

[BibT_eX]

[DOI]

Muhammad Tahir Rasheed

Shengli Zhang

Expert Syst. Appl., 2024

2023

ELM parameter estimation in view of maximum likelihood.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

New attention strategy for negative sampling in knowledge graph embedding.

[BibT_eX]

[DOI]

Appl. Intell., November, 2023

Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping.

[BibT_eX]

[DOI]

Yan Li

Xiaoxue Wu

Int. J. Approx. Reason., September, 2023

Evolving stochastic configure network: A more compact model with interpretability.

[BibT_eX]

[DOI]

Inf. Sci., August, 2023

A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings.

[BibT_eX]

[DOI]

Comput. Electr. Eng., August, 2023

A broad review on class imbalance learning techniques.

[BibT_eX]

[DOI]

Appl. Soft Comput., August, 2023

Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2023

A Review of Generalized Zero-Shot Learning Methods.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Algorithm for orthogonal matrix nearness and its application to feature representation.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

A study on relationship between prediction uncertainty and robustness to noisy data.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., April, 2023

Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., March, 2023

A review of artificial fish swarm algorithms: recent advances and applications.

[BibT_eX]

[DOI]

Artif. Intell. Rev., March, 2023

Guest Editorial Cognitive Cyber-Physical Systems With AI Based Solutions in Medical Informatics.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, February, 2023

Cost-Sensitive Active Learning for Incomplete Data.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2023

Adversarial Learning With Cost-Sensitive Classes.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

Uncertainty guided pruning of classification model tree.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

A mathematical model for efficient extraction of key locations from point-cloud data in track area.

[BibT_eX]

[DOI]

Ind. Artif. Intell., 2023

Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Local Weighted Neighborhood Rough Sets for Weakly Labeled Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

Multi-Instance Ensemble Learning With Discriminative Bags.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor.

[BibT_eX]

[DOI]

Hong Zhu

IEEE Trans. Fuzzy Syst., 2022

MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion.

[BibT_eX]

[DOI]

Neural Networks, 2022

Towards improving fast adversarial training in multi-exit network.

[BibT_eX]

[DOI]

Neural Networks, 2022

Correction to: Recent advances in multiple criteria decision making techniques.

[BibT_eX]

[DOI]

Yulin He

Int. J. Mach. Learn. Cybern., 2022

Recent advances in multiple criteria decision making techniques.

[BibT_eX]

[DOI]

Yulin He

Int. J. Mach. Learn. Cybern., 2022

Knowledge graph embedding with self adaptive double-limited loss.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A robust approach to attribute reduction based on double fuzzy consistency measure.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Handling missing data through deep convolutional neural network.

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

Neurocomputing, 2022

Intuitionistic fuzzy twin support vector machines for imbalanced data.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Learning to recommend journals for submission based on embedding models.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Yuhao Wu

Chengchao Huang

Neurocomputing, 2022

Oracle-guided Contrastive Clustering.

[BibT_eX]

[DOI]

CoRR, 2022

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos.

[BibT_eX]

[DOI]

Mohammad Ahsanul Haque

Appl. Soft Comput., 2022

2021

ETA-rPPGNet: Effective Time-Domain Attention Network for Remote Heart Rate Measurement.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

An Accelerator for Rule Induction in Fuzzy Rough Theory.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2021

AdvKin: Adversarial Convolutional Network for Kinship Verification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Fast Supervised Topic Models for Short Text Emotion Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Bidirectional stochastic configuration network for regression problems.

[BibT_eX]

[DOI]

Neural Networks, 2021

Group theory-based optimization algorithm for solving knapsack problems.

[BibT_eX]

[DOI]

Yichao He

Knowl. Based Syst., 2021

Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Vibration fault diagnosis based on stochastic configuration neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2021

Dual VAEGAN: A generative model for generalized zero-shot learning.

[BibT_eX]

[DOI]

Yuxuan Luo

Appl. Soft Comput., 2021

A Novel Approach to Ship Operational Risk Analysis Based on D-S Evidence Theory.

[BibT_eX]

[DOI]

Proceedings of the Neural Computing for Advanced Applications, 2021

An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds.

[BibT_eX]

[DOI]

Lanzhen Yang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

2020

Jointly Sparse Locality Regression for Image Feature Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

A study on the relationship between the rank of input data and the performance of random weight neural network.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Bibliometric analysis of support vector machines research trend: a case study in China.

[BibT_eX]

[DOI]

Dejian Yu

Zeshui Xu

Int. J. Mach. Learn. Cybern., 2020

Ensemble with estimation: seeking for optimization in class noisy data.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2020

Recent advances in deep learning.

[BibT_eX]

[DOI]

Yanxia Zhao

Int. J. Mach. Learn. Cybern., 2020

New advances in three-way decision, granular computing and concept lattice.

[BibT_eX]

[DOI]

Jinhai Li

Int. J. Mach. Learn. Cybern., 2020

A bibliometric analysis on deep learning during 2007-2019.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2020

Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning.

[BibT_eX]

[DOI]

Tianlun Zhang

Yang Li

Knowl. Based Syst., 2020

NetSRE: Link predictability measuring and regulating.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Knowledge reduction methods of covering approximate spaces based on concept lattice.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

An analysis on the relationship between uncertainty and misclassification rate of classifiers.

[BibT_eX]

[DOI]

Inf. Sci., 2020

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

[BibT_eX]

[DOI]

Kai Zhang

Jianming Zhan

Inf. Sci., 2020

Deep joint neural model for single image haze removal and color correction.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Incremental feature selection based on fuzzy rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2020

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

[BibT_eX]

[DOI]

Yuxuan Luo

Neurocomputing, 2020

Discernibility matrix based incremental feature selection on fused decision tables.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

Generalized Adversarial Examples: Attacks and Defenses.

[BibT_eX]

[DOI]

CoRR, 2020

A Review of Generalized Zero-Shot Learning Methods.

[BibT_eX]

[DOI]

CoRR, 2020

Feature selection based on improved binary global harmony search for data classification.

[BibT_eX]

[DOI]

Jafar Gholami

Appl. Soft Comput., 2020

Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables.

[BibT_eX]

[DOI]

Proceedings of the Neural Computing for Advanced Applications, 2020

A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Tianlun Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2019

Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2019

Intuitionistic Fuzzy Twin Support Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2019

Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2019

Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

A bibliometric overview of <i>International Journal of Machine Learning and Cybernetics</i> between 2010 and 2017.

[BibT_eX]

[DOI]

Zeshui Xu

Dejian Yu

Int. J. Mach. Learn. Cybern., 2019

An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments.

[BibT_eX]

[DOI]

Zeshui Xu

Yue He

Int. J. Mach. Learn. Cybern., 2019

Improved bidirectional extreme learning machine based on enhanced random search.

[BibT_eX]

[DOI]

Memetic Comput., 2019

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

[BibT_eX]

[DOI]

Inf. Sci., 2019

Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning.

[BibT_eX]

[DOI]

Inf. Sci., 2019

PARA: A positive-region based attribute reduction accelerator.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Seemingly unrelated extreme learning machine.

[BibT_eX]

[DOI]

Li Zhao

Neurocomputing, 2019

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

[BibT_eX]

[DOI]

Neurocomputing, 2019

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

[BibT_eX]

[DOI]

Neurocomputing, 2019

Impact of Fuzziness Measures on the Performance of Semi-supervised Learning.

[BibT_eX]

[DOI]

Dasen Yan

Int. J. Fuzzy Syst., 2019

Weight learning from cost matrix in weighted least squares model based on genetic algorithm.

[BibT_eX]

[DOI]

Hong Zhu

Peng Yao

Int. J. Bio Inspired Comput., 2019

Introduction to the Special Section on Applying Machine Learning Systems for IoT Services in Industrial Informatics.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

Ring Theory-Based Evolutionary Algorithm and its application to D{0-1} KP.

[BibT_eX]

[DOI]

Yichao He

Suogang Gao

Appl. Soft Comput., 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

Camera2Video: A Low-Cost Food Authentication System Using Smartphone Videos.

[BibT_eX]

[DOI]

Proceedings of the 2019 2nd International Conference on Sensors, 2019

mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pengfei Yang

Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2019

Feature Selection for Data Classification based on Binary Brain Storm Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Bella Martínez-Seis

Xiaoou Li

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Feature Selection Based on Neighborhood Discrimination Index.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Face Liveness Detection Using a Flash Against 2D Spoofing Attack.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2018

Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2018

Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.

[BibT_eX]

[DOI]

Chen Xu

IEEE Trans. Cybern., 2018

Non-iterative approaches in training feed-forward neural networks and their applications.

[BibT_eX]

[DOI]

Soft Comput., 2018

Three-way decisions, concept lattice and granular computing: Editorial.

[BibT_eX]

[DOI]

Jinhai Li

Int. J. Mach. Learn. Cybern., 2018

A deep stochastic weight assignment network and its application to chess playing.

[BibT_eX]

[DOI]

Zhi Wang

J. Parallel Distributed Comput., 2018

Tolerance rough fuzzy decision tree.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Uncertainty learning of rough set-based prediction under a holistic framework.

[BibT_eX]

[DOI]

Inf. Sci., 2018

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

[BibT_eX]

[DOI]

Joel J. P. C. Rodrigues

Arun Kumar Sangaiah

Michael Sheng

IEEE Internet Things J., 2018

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

[BibT_eX]

[DOI]

Neurocomputing, 2018

Sensitivity of data matrix rank in non-iterative training.

[BibT_eX]

[DOI]

Zhiqi Huang

Neurocomputing, 2018

A review on neural networks with random weights.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Multi-image matching for object recognition.

[BibT_eX]

[DOI]

IET Comput. Vis., 2018

A novel binary artificial bee colony algorithm for the set-union knapsack problem.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

Weight Learning in Weighted ELM Classification Model Based on Genetic Algorithms.

[BibT_eX]

[DOI]

Peng Yao

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine.

[BibT_eX]

[DOI]

Proceedings of ELM 2018, 2018

2017

Incorporating Diversity and Informativeness in Multiple-Instance Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2017

Selective ensemble of SVDDs with Renyi entropy based diversity measure.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Impact of fuzziness categorization on divide and conquer strategy for instance selection.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2017

A ranking-based adaptive artificial bee colony algorithm for global numerical optimization.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Fuzziness based semi-supervised learning approach for intrusion detection system.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Analysis on fast training speed of extreme learning machine and replacement policy.

[BibT_eX]

[DOI]

Int. J. Wirel. Mob. Comput., 2017

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

[BibT_eX]

[DOI]

Hongyu Zhu

Neurocomputing, 2017

Monotonic classification extreme learning machine.

[BibT_eX]

[DOI]

Hong Zhu

Neurocomputing, 2017

Information Fusion Based on Information Entropy in Fuzzy Multi-source Incomplete Information System.

[BibT_eX]

[DOI]

Weihua Xu

Mengmeng Li

Int. J. Fuzzy Syst., 2017

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

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2017

Comparison of reduction in formal decision contexts.

[BibT_eX]

[DOI]

Jinhai Li

Cherukuri Aswani Kumar

Changlin Mei

Int. J. Approx. Reason., 2017

2016

Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes.

[BibT_eX]

[DOI]

Qing-yan Shao

Neural Process. Lett., 2016

Granular reducts of formal fuzzy contexts.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

A cross-selection instance algorithm.

[BibT_eX]

[DOI]

Ta Li

J. Intell. Fuzzy Syst., 2016

Segmenting time series with connected lines under maximum error bound.

[BibT_eX]

[DOI]

Inf. Sci., 2016

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

[BibT_eX]

[DOI]

Xiaohe Pang

Inf. Sci., 2016

Exact and approximate algorithms for discounted {0-1} knapsack problem.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Fuzzy nonlinear regression analysis using a random weight network.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines.

[BibT_eX]

[DOI]

Qing-yan Shao

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

An approach to sample selection from big data for classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Deep stochastic weight assignment network of Chinese chess machine game.

[BibT_eX]

[DOI]

Zhi Wang

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

A novel approach for epileptic EEG signals classification based on biclustering technique.

[BibT_eX]

[DOI]

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

Extreme learning machine based on cross entropy.

[BibT_eX]

[DOI]

Yixin Cui

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.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

Segment Based Decision Tree Induction With Continuous Valued Attributes.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Performance improvement of classifier fusion for batch samples based on upper integral.

[BibT_eX]

[DOI]

Hui-Min Feng

Neural Networks, 2015

Fuzziness based sample categorization for classifier performance improvement.

[BibT_eX]

[DOI]

Ai-Min Fu

J. Intell. Fuzzy Syst., 2015

Learning from big data with uncertainty - editorial.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2015

Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine.

[BibT_eX]

[DOI]

Intell. Data Anal., 2015

Editorial: Uncertainty in learning from big data.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2015

OWA operator based link prediction ensemble for social network.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pm-Zhou Zhang

Shixin Zhao

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.

[BibT_eX]

[DOI]

Hui Wang

World Wide Web, 2014

A New Approach to Classifier Fusion Based on Upper Integral.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes.

[BibT_eX]

[DOI]

Debby Dan Wang

IEEE Trans. Cybern., 2014

Domain ontology graph model and its application in Chinese text classification.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

Advances in neural network based learning.

[BibT_eX]

[DOI]

Abdallah Bashir Musa

Int. J. Mach. Learn. Cybern., 2014

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis.

[BibT_eX]

[DOI]

Inf. Sci., 2014

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

[BibT_eX]

[DOI]

Neurocomputing, 2014

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

[BibT_eX]

[DOI]

Neurocomputing, 2014

A study on relationships between heuristics and optimal cuts in decision tree induction.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2014

Ensemble online sequential extreme learning machine for large data set classification.

[BibT_eX]

[DOI]

Jinggeng Wang

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Classification of BGP anomalies using decision trees and fuzzy rough sets.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Dynamic Ensemble of Rough Set Reducts for Data Classification.

[BibT_eX]

[DOI]

Hua-Chao Wang

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Integrating Local Information-based Link Prediction Algorithms with OWA Operator.

[BibT_eX]

[DOI]

Proceedings of the ICPRAM 2014, 2014

Monotonic Decision Tree for Interval Valued Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Cybernetics, 2014

Extreme Learning Machine for Interval-Valued Data.

[BibT_eX]

[DOI]

Shixin Zhao

Proceedings of the Machine Learning and Cybernetics, 2014

Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Cybernetics, 2014

An Improved Approach to Ordinal Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Cybernetics, 2014

Study and Improvement of Ordinal Decision Trees Based on Rank Entropy.

[BibT_eX]

[DOI]

Jiankai Chen

Proceedings of the Machine Learning and Cybernetics, 2014

Regression ensemble with PSO algorithms based fuzzy integral.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

A New Method for Knowledge and Information Management Domain Ontology Graph Model.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2013

A Combined Position Evaluation Function in Chinese Chess Computer Game.

[BibT_eX]

[DOI]

Tingting Fu

Trans. Comput. Sci., 2013

Nested structure in parameterized rough reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2013

A new and informative active learning approach for support vector machine.

[BibT_eX]

[DOI]

Lisha Hu

Inf. Sci., 2013

Architecture selection for networks trained with extreme learning machine using localized generalization error model.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Greetings from the General Chairs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Chun-Ru Dong

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

2012

Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction.

[BibT_eX]

[DOI]

Ling-Cai Dong

Jian-Hui Yan

IEEE Trans. Knowl. Data Eng., 2012

Dynamic ensemble extreme learning machine based on sample entropy.

[BibT_eX]

[DOI]

Hong-Yu Xu

Soft Comput., 2012

Editorial.

[BibT_eX]

[DOI]

Dianhui Wang

Guang-Bin Huang

Soft Comput., 2012

A study on random weights between input and hidden layers in extreme learning machine.

[BibT_eX]

[DOI]

Sam Kwong

Soft Comput., 2012

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

[BibT_eX]

[DOI]

Neurocomputing, 2012

Optimal bandwidth selection for re-substitution entropy estimation.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2012

A total error rate multi-class classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Instance selection based on sample entropy for efficient data classification with ELM.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A Rank Reduced Matrix Method in Extreme Learning Machine.

[BibT_eX]

[DOI]

Guiqiang Zhang

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Naive Bayesian Classifier Based on Neighborhood Probability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2012

Improving kernel incapability by equivalent probability in flexible naïve Bayesian.

[BibT_eX]

[DOI]

James N. K. Liu

Proceedings of the FUZZ-IEEE 2012, 2012

2011

Recent advances on machine learning and Cybernetics.

[BibT_eX]

[DOI]

Witold Pedrycz

Soft Comput., 2011

Particle swarm optimization for determining fuzzy measures from data.

[BibT_eX]

[DOI]

Inf. Sci., 2011

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

[BibT_eX]

[DOI]

Hao-Xin Zhao

Neurocomputing, 2011

Upper integral network with extreme learning mechanism.

[BibT_eX]

[DOI]

Aixia Chen

Hui-Min Feng

Neurocomputing, 2011

Rough set model and its eight extensions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2011

A comparative experimental study of feature-weight learning approaches.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2011

A modified AdaBoost method for one-class SVM and its application to novelty detection.

[BibT_eX]

[DOI]

Xue-Fang Chen

Proceedings of the IEEE International Conference on Systems, 2011

Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2010

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

International journal of machine learning and cybernetics.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2010

FRSVMs: Fuzzy rough set based support vector machines.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2010

Side effect of cut in decision tree generation for continuous attributes.

[BibT_eX]

[DOI]

Xiang-Hui Gao

Proceedings of the IEEE International Conference on Systems, 2010

A survey on active learning strategy.

[BibT_eX]

[DOI]

Li-Li Sun

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

Discretization of continuous-valued attributes in decision tree generation.

[BibT_eX]

[DOI]

Wen-Liang Li

Rui-Hua Yu

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

A new approach to improving generalization ability of feed-foward neural networks.

[BibT_eX]

[DOI]

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

2009

Improving Generalization of Fuzzy IF-THEN Rules by Maximizing Fuzzy Entropy.

[BibT_eX]

[DOI]

Chun-Ru Dong

IEEE Trans. Fuzzy Syst., 2009

Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2009

An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction.

[BibT_eX]

[DOI]

Ling-Cai Dong

Dan Wang

Proceedings of the IEEE International Conference on Systems, 2009

A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions.

[BibT_eX]

[DOI]

Ying Zhang

Proceedings of the Rough Sets, 2009

An Improved Cluster Oriented Fuzzy Decision Trees.

[BibT_eX]

[DOI]

Shan Su

Proceedings of the Rough Sets, 2009

2008

Hybridization of Fuzzy and Rough Sets: Present and Future.

[BibT_eX]

[DOI]

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

Attributes Reduction Using Fuzzy Rough Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2008

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

[BibT_eX]

[DOI]

Pattern Recognit., 2008

Preface: Recent advances in granular computing.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Induction of multiple fuzzy decision trees based on rough set technique.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Editorial.

[BibT_eX]

[DOI]

Yuanyan Tang

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

Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Neurocomputing, 2008

A model of finite-step random walk with absorbent boundaries.

[BibT_eX]

[DOI]

Su-Fang Zhang

Int. J. Comput. Math., 2008

Application of kernel learning vector quantization to novelty detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2008

Optimization of combined kernel function for SVM based on large margin learning theory.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2008

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

[BibT_eX]

[DOI]

Chun-Ru Dong

Proceedings of the IEEE International Conference on Systems, 2008

2007

Covariance-Matrix Modeling and Detecting Various Flooding Attacks.

[BibT_eX]

[DOI]

Shuyuan Jin

IEEE Trans. Syst. Man Cybern. Part A, 2007

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

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

[BibT_eX]

[DOI]

Su-Fang Zhang

Soft Comput., 2007

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

[BibT_eX]

[DOI]

Soft Comput., 2007

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

[BibT_eX]

[DOI]

Zhi-Qiang Liu

Soft Comput., 2007

An On-Line Multi-CBR Agent Dispatching Algorithm.

[BibT_eX]

[DOI]

Yan Li

Soft Comput., 2007

Network intrusion detection in covariance feature space.

[BibT_eX]

[DOI]

Shuyuan Jin

Pattern Recognit., 2007

Structured large margin machines: sensitive to data distributions.

[BibT_eX]

[DOI]

Mach. Learn., 2007

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

[BibT_eX]

[DOI]

Inf. Sci., 2007

Internet Anomaly Detection Based on Statistical Covariance Matrix.

[BibT_eX]

[DOI]

Shuyuan Jin

Int. J. Pattern Recognit. Artif. Intell., 2007

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

[BibT_eX]

[DOI]

Chunru Dong

Tie-Gang Fan

Neurocomputing, 2007

On linear separability of data sets in feature space.

[BibT_eX]

[DOI]

Neurocomputing, 2007

A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2007

Solving SVM inverse problems based on clustering.

[BibT_eX]

[DOI]

Ruixian Zhu

Proceedings of the IEEE International Conference on Systems, 2007

Heuristic improvement for active learning using localized generalization error as selection criterion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2007

Attribute Reduction Based on Fuzzy Rough Sets.

[BibT_eX]

[DOI]

Suyun Zhao

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>.

[BibT_eX]

[DOI]

Soft Comput., 2006

A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction.

[BibT_eX]

[DOI]

Chenxiao Yang

Ruixian Zhu

Proceedings of the IEEE International Conference on Systems, 2006

Induction of Multi-stage decision tree.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hui Zhang

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.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2005

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

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2005

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

[BibT_eX]

[DOI]

Neurocomputing, 2005

Multilevel weighted fuzzy reasoning with interaction.

[BibT_eX]

[DOI]

Ying Xu

Ruixian Zhu

Proceedings of the IEEE International Conference on Systems, 2005

A feature space analysis for anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2005

Organizing Large Case Library by Linear Programming.

[BibT_eX]

[DOI]

Caihong Sun

Simon Chi-Keung Shiu

Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction.

[BibT_eX]

[DOI]

Chunguo Li

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.

[BibT_eX]

[DOI]

Jun Shen

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Reduction of Attributes in Ordinal Decision Systems.

[BibT_eX]

[DOI]

John W. T. Lee

Jinfeng Wang

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Covariance Matrix Based Approach to Internet Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

The Infinite Polynomial Kernel for Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004

Handling interaction in fuzzy production rule reasoning.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2004

Improving fuzzy c-means clustering based on feature-weight learning.

[BibT_eX]

[DOI]

Yadong Wang

Lijuan Wang

Pattern Recognit. Lett., 2004

A study on generalization capability of weighted fuzzy production rules with maximum entropy.

[BibT_eX]

[DOI]

Chunru Dong

Proceedings of the IEEE International Conference on Systems, 2004

Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003

OFFSS: optimal fuzzy-valued feature subset selection.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2003

A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems.

[BibT_eX]

[DOI]

Guoqing Cao

Simon C. K. Shiu

Soft Comput., 2003

Sequences of (S) fuzzy integrable functions.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2003

Core and reduction from mutual relation view and their fuzzy generalization.

[BibT_eX]

[DOI]

Shin-Xin Zhao

Proceedings of the IEEE International Conference on Systems, 2003

Selecting representative cases by generalization capability.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2003

Monotonic decision tree for ordinal classification.

[BibT_eX]

[DOI]

John W. T. Lee

Proceedings of the IEEE International Conference on Systems, 2003

Selection of Parameters in Building Fuzzy Decision Trees.

[BibT_eX]

[DOI]

Minghua Zhao

Dianhui Wang

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

Improving Performance of Similarity-Based Clustering by Feature Weight Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Appl., 2001

Iteration algorithms for solving a system of fuzzy linear equations.

[BibT_eX]

[DOI]

Zimian Zhong

Fuzzy Sets Syst., 2001

A new approach to fuzzy rule generation: fuzzy extension matrix.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2001

Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance.

[BibT_eX]

[DOI]

Comput. Intell., 2001

Using neural network classifier in post-processing system for handwritten Chinese character recognition.

[BibT_eX]

[DOI]

Ruifeng Xu

Proceedings of the IEEE International Conference on Systems, 2001

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2001

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

[BibT_eX]

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

A Fuzzy-Rough Approach for Case Base Maintenance.

[BibT_eX]

[DOI]

Guoqing Cao

Simon C. K. Shiu

Proceedings of the Case-Based Reasoning Research and Development, 2001

2000

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

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2000

On the optimization of fuzzy decision trees.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2000

Using a neuro-fuzzy technique to improve the clustering based on similarity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2000

Using fuzzy integral to modeling case based reasoning with feature interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2000

Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999

Learning optimization in simplifying fuzzy rules.

[BibT_eX]

[DOI]

Jiarong Hong

Fuzzy Sets Syst., 1999

1998

Note on maxmin μ/E estimation.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1998

On the handling of fuzziness for continuous-valued attributes in decision tree generation.

[BibT_eX]

[DOI]

Jiarong Hong

Fuzzy Sets Syst., 1998

Fundamental convergence of sequences of measurable functions on fuzzy measure space.

[BibT_eX]

[DOI]

Congxin Wu

Fuzzy Sets Syst., 1998

1997

Some notes on the regularity of fuzzy measures on metric spaces.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 1997

Notes on Riesz's theorem on fuzzy measure space.

[BibT_eX]

[DOI]

Lixin Cheng