Yuhua Qian

Xinyan Liang

Int. J. Approx. Reason., 2022

GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy.

[BibT_eX]

[DOI]

Qian Guo

Xinyan Liang

Int. J. Approx. Reason., 2022

2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints.

[BibT_eX]

[DOI]

CoRR, 2022

Linear Array Network for Low-light Image Enhancement.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2021

Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2021

Pairwise Relations Oriented Discriminative Regression.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Image deep clustering based on local-topology embedding.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Correction to: Path-based estimation for link prediction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Path-based estimation for link prediction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Logic could be learned from images.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Learning the number of filters in convolutional neural networks.

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2021

BIC-based node order learning for improving Bayesian network structure learning.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2021

Progressive residual learning for single image dehazing.

[BibT_eX]

[DOI]

CoRR, 2021

Accelerator for crosswise computing reduct.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Data-guided multi-granularity selector for attribute reduction.

[BibT_eX]

[DOI]

Appl. Intell., 2021

GoT: a Growing Tree Model for Clustering Ensemble.

[BibT_eX]

[DOI]

Feijiang Li

Jieting Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Guide to Match: Multi-Layer Feature Matching With a Hybrid Gaussian Mixture Model.

[BibT_eX]

[DOI]

Kun Sun

Wenbing Tao

IEEE Trans. Multim., 2020

Latent Complete Row Space Recovery for Multi-View Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Granular Matrix: A New Approach for Granular Structure Reduction and Redundancy Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Fuzzy Rough Attribute Reduction for Categorical Data.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Fusing Fuzzy Monotonic Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Unsupervised feature selection with adaptive multiple graph learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Learning with mitigating random consistency from the accuracy measure.

[BibT_eX]

[DOI]

Jieting Wang

Feijiang Li

Mach. Learn., 2020

Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Quickly calculating reduct: An attribute relationship based approach.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2020

Multiscale fusion and aggregation PCNN for 3D shape recovery.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Attribute group for attribute reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Dependence space models to construct concept lattices.

[BibT_eX]

[DOI]

Jianmin Ma

Wenxiu Zhang

Int. J. Approx. Reason., 2020

Accelerator for supervised neighborhood based attribute reduction.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

Extreme Low-Light Imaging with Multi-granulation Cooperative Networks.

[BibT_eX]

[DOI]

CoRR, 2020

A naive learning algorithm for class-bridge-decomposable multidimensional Bayesian network classifiers.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2020

2019

Adaptive Local Low-rank Matrix Approximation for Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2019

Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2019

Feature-granularity selection with variable costs for hybrid data.

[BibT_eX]

[DOI]

Shujiao Liao

Qingxin Zhu

Soft Comput., 2019

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Accelerator for multi-granularity attribute reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Part-based visual tracking via structural support correlation filter.

[BibT_eX]

[DOI]

Zhangjian Ji

Kai Feng

J. Vis. Commun. Image Represent., 2019

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification.

[BibT_eX]

[DOI]

Inf. Sci., 2019

An efficient selector for multi-granularity attribute reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Sign fusion of multiple QPNs based on qualitative mutual information.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Eng., 2019

Pseudo-label neighborhood rough set: Measures and attribute reductions.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Object-oriented interval-set concept lattices.

[BibT_eX]

[DOI]

Jianmin Ma

Lingling Hu

Int. J. Approx. Reason., 2019

Diversity-induced fuzzy clustering.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification.

[BibT_eX]

[DOI]

Appl. Intell., 2019

Clustering ensemble based on sample's stability.

[BibT_eX]

[DOI]

Artif. Intell., 2019

Prototype Propagation Clustering Based on Large Margin.

[BibT_eX]

[DOI]

Feijiang Li

Jieting Wang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Mining Logic Patterns from Visual Data.

[BibT_eX]

[DOI]

Qian Guo

Xinyan Liang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Feature Selection Based on Neighborhood Discrimination Index.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

An Algorithm for Clustering Categorical Data With Set-Valued Features.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Cluster's Quality Evaluation and Selective Clustering Ensemble.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2018

Multi-level preference regression for cold-start recommendations.

[BibT_eX]

[DOI]

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

Local neighborhood rough set.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Assessment model for perceived visual complexity of painting images.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

一种多强度攻击下的对抗逃避攻击集成学习算法 (Ensemble Method Against Evasion Attack with Different Strength of Attack).

[BibT_eX]

[DOI]

计算机科学, 2018

Identifying advisor-advisee relationships from co-author networks via a novel deep model.

[BibT_eX]

[DOI]

Inf. Sci., 2018

A quantitative approach to reasoning about incomplete knowledge.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Local rough set: A solution to rough data analysis in big data.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

A cautious ranking methodology with its application for stock screening.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

2017

Fusing Complete Monotonic Decision Trees.

[BibT_eX]

[DOI]

Hang Xu

Wenjian Wang

IEEE Trans. Knowl. Data Eng., 2017

A Fitting Model for Feature Selection With Fuzzy Rough Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2017

Multigranulation fuzzy rough set over two universes and its application to decision making.

[BibT_eX]

[DOI]

Bingzhen Sun

Weimin Ma

Knowl. Based Syst., 2017

A multi-view OVA model based on decision tree for multi-classification tasks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

WSN中基于多径距离和神经网络的节点定位 (Node Localization Based on Multipath Distance and Neural Network in WSN).

[BibT_eX]

[DOI]

计算机科学, 2017

多粒度决策粗糙集中的粒度约简方法 (Granular Structure Reduction Approach to Multigranulation Decision-theoretic Rough Sets).

[BibT_eX]

[DOI]

Yanli Sang

计算机科学, 2017

On rule acquisition in incomplete multi-scale decision tables.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Grouping granular structures in human granulation intelligence.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Three-way cognitive concept learning via multi-granularity.

[BibT_eX]

[DOI]

Inf. Sci., 2017

A multiple-valued logic approach for multigranulation rough set model.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

Local multigranulation decision-theoretic rough sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Space Structure and Clustering of Categorical Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Feature subset selection based on fuzzy neighborhood rough sets.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Decision-theoretic rough sets under dynamic granulation.

[BibT_eX]

[DOI]

Yanli Sang

Knowl. Based Syst., 2016

Comparison study of orthonormal representations of functional data in classification.

[BibT_eX]

[DOI]

Yinfeng Meng

Knowl. Based Syst., 2016

A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

A comparative study of multigranulation rough sets and concept lattices via rule acquisition.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

符号数据的无监督学习: 一种空间变换方法 (Unsupervised Learning from Categorical Data: A Space Transformation Approach).

[BibT_eX]

[DOI]

Jianxin Wang

计算机科学, 2016

2015

Fusing Monotonic Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Fuzzy Granular Structure Distance.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

Determining decision makers' weights in group ranking: a granular computing method.

[BibT_eX]

[DOI]

Baoli Wang

Int. J. Mach. Learn. Cybern., 2015

一种对应约束的决策表属性约简算法 (Decision Table Attribute Reduction Algorithm Based on Correspondence Constraints).

[BibT_eX]

[DOI]

计算机科学, 2015

An information fusion approach by combining multigranulation rough sets and evidence theory.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Concept learning via granular computing: A cognitive viewpoint.

[BibT_eX]

[DOI]

Inf. Sci., 2015

A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Uncertainty Measures for Multigranulation Approximation Space.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Fuzzy-rough feature selection accelerator.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2015

Cognitive concept learning via granular computing for big data.

[BibT_eX]

[DOI]

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

Experimental Design with Multiple Kernels.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

A Group Incremental Approach to Feature Selection Applying Rough Set Technique.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

A rule-extraction framework under multigranulation rough sets.

[BibT_eX]

[DOI]

Xin Liu

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

Topological approach to multigranulation rough sets.

[BibT_eX]

[DOI]

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

QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Pessimistic rough set based decisions: A multigranulation fusion strategy.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Multigranulation decision-theoretic rough sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Set-based granular computing: A lattice model.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making.

[BibT_eX]

[DOI]

Baoli Wang

Fundam. Informaticae, 2014

2013

Consistency-preserving attribute reduction in fuzzy rough set framework.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2013

Attribute reduction: A dimension incremental strategy.

[BibT_eX]

[DOI]

Feng Wang

Knowl. Based Syst., 2013

Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?

[BibT_eX]

[DOI]

Inf. Sci., 2013

Multigranulation rough sets: From partition to covering.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Decision-relative discernibility matrices in the sense of entropies.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2013

On Characterizing Hierarchies of Granulation Structures via Distances.

[BibT_eX]

[DOI]

Xibei Yang

Jingyu Yang

Fundam. Informaticae, 2013

2012

A two-grade approach to ranking interval data.

[BibT_eX]

[DOI]

Peng Song

Knowl. Based Syst., 2012

Evaluation of the decision performance of the decision rule set from an ordered decision table.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Distance: A more comprehensible perspective for measures in rough set theory.

[BibT_eX]

[DOI]

Ru Li

Knowl. Based Syst., 2012

Hierarchical Structures on Multigranulation Spaces.

[BibT_eX]

[DOI]

Xibei Yang

Jing-Yu Yang

J. Comput. Sci. Technol., 2012

A comparative study of rough sets for hybrid data.

[BibT_eX]

[DOI]

Inf. Sci., 2012

NMGRS: Neighborhood-based multigranulation rough sets.

[BibT_eX]

[DOI]

Jinjin Li

Int. J. Approx. Reason., 2012

An efficient rough feature selection algorithm with a multi-granulation view.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2012

Partial ordering of information granulations: a further investigation.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2012

Information Granularity and Granular Structure in Decision Making.

[BibT_eX]

[DOI]

Baoli Wang

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Fuzziness-Preserving Attribute Reduction from Hybrid Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Variable precision multi-granulation rough set.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011

Information Granularity in Fuzzy Binary GrC Model.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2011

An efficient accelerator for attribute reduction from incomplete data in rough set framework.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

Test-cost-sensitive attribute reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2011

How to organize data with measurement errors?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2011

An Efficient Fuzzy-Rough Attribute Reduction Approach.

[BibT_eX]

[DOI]

Chao Li

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Closed-Label Concept Lattice Based Rule Extraction Approach.

[BibT_eX]

[DOI]

Junhong Wang

Proceedings of the Bio-Inspired Computing and Applications, 2011

2010

Incomplete Multigranulation Rough Set.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2010

Approximation reduction in inconsistent incomplete decision tables.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2010

MGRS: A multi-granulation rough set.

[BibT_eX]

[DOI]

Inf. Sci., 2010

Comparative study of decision performance of decision tables induced by attribute reductions.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2010

Positive approximation: An accelerator for attribute reduction in rough set theory.

[BibT_eX]

[DOI]

Artif. Intell., 2010

A heuristic method to attribute reduction for concept lattice.

[BibT_eX]

[DOI]

Junhong Wang

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

On Partial Order Relations in Granular Computing.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

Set-valued ordered information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2009

A new measure of uncertainty based on knowledge granulation for rough sets.

[BibT_eX]

[DOI]

Junhong Wang

Inf. Sci., 2009

A New Method for Measuring the Uncertainty in Incomplete Information Systems.

[BibT_eX]

[DOI]

Feng Wang

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

Knowledge structure, knowledge granulation and knowledge distance in a knowledge base.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2009

A Time-Reduction Strategy to Feature Selection in Rough Set Theory.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

An attribute reduction approach and its accelerated version for hybrid data.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008

Measures for evaluating the decision performance of a decision table in rough set theory.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Combination Entropy and Combination Granulation in Rough Set Theory.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Consistency measure, inclusion degree and fuzzy measure in decision tables.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2008

On the evaluation of the decision performance of an incomplete decision table.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2008

Interval ordered information systems.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2008

Converse approximation and rule extraction from decision tables in rough set theory.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2008

Information granules and entropy theory in information systems.

[BibT_eX]

[DOI]

Sci. China Ser. F Inf. Sci., 2008

Consistency and Fuzziness in Ordered Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Granulation Operators on a Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007

Evaluation Method for Decision Rule Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2007

MGRS in Incomplete Information Systems.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006

Combination Entropy and Combination Granulation in Incomplete Information System.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Axiomatic Approach of Knowledge Granulation in Information System.

[BibT_eX]

[DOI]