Hongmei Chen

Weiyi Li

Appl. Intell., May, 2023

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Spark Rough Hypercuboid Approach for Scalable Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

Anomaly detection based on weighted fuzzy-rough density.

[BibT_eX]

[DOI]

Appl. Soft Comput., February, 2023

LAWNet: A Lightweight Attention-Based Deep Learning Model for Wrist Vein Verification in Smartphones Using RGB Images.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2023

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

A robust graph based multi-label feature selection considering feature-label dependency.

[BibT_eX]

[DOI]

Appl. Intell., 2023

A Novel Online Multi-label Feature Selection Approach for Multi-dimensional Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems.

[BibT_eX]

[DOI]

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

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data.

[BibT_eX]

[DOI]

Zhong Yuan

Pattern Recognit., 2022

R2CI: Information theoretic-guided feature selection with multiple correlations.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Consistency regularization for deep semi-supervised clustering with pairwise constraints.

[BibT_eX]

[DOI]

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

A noise-aware fuzzy rough set approach for feature selection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Novel fuzzy rank discrimination measures for monotonic ordinal feature selection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Fusing entropy measures for dynamic feature selection in incomplete approximation spaces.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Unsupervised feature selection via self-paced learning and low-redundant regularization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Semi-supervised feature selection via adaptive structure learning and constrained graph learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Student-<i>t</i> kernelized fuzzy rough set model with fuzzy divergence for feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Adaptive graph learning for semi-supervised feature selection with redundancy minimization.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A novel hierarchical feature selection method based on large margin nearest neighbor learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Exploiting fuzzy rough mutual information for feature selection.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Multi-label feature selection based on manifold regularization and imbalance ratio.

[BibT_eX]

[DOI]

Appl. Intell., 2022

A stable community detection approach for complex network based on density peak clustering and label propagation.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Feature selection via minimizing global redundancy for imbalanced data.

[BibT_eX]

[DOI]

Appl. Intell., 2022

2021

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Neighborhood rough sets with distance metric learning for feature selection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

A novel hybrid feature selection method considering feature interaction in neighborhood rough set.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Incremental attribute reduction approaches for ordered data with time-evolving objects.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Unsupervised attribute reduction for mixed data based on fuzzy rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Double-local rough sets for efficient data mining.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Dynamic interaction feature selection based on fuzzy rough set.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Multi-source information fusion based on rough set theory: A review.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2021

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Semi-supervised feature selection with minimal redundancy based on local adaptive.

[BibT_eX]

[DOI]

Appl. Intell., 2021

Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2021

Hierarchical Feature Selection via Large Margin Nearest Neighbor.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

An Overlapping Community Detection Algorithm based on Density Peaks and Label Propagation.

[BibT_eX]

[DOI]

Chuanwei Li

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020

Incremental approaches for heterogeneous feature selection in dynamic ordered data.

[BibT_eX]

[DOI]

Inf. Sci., 2020

A novel quantum grasshopper optimization algorithm for feature selection.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

A novel community detection method based on whale optimization algorithm with evolutionary population.

[BibT_eX]

[DOI]

Appl. Intell., 2020

2019

Reconstruction of Hidden Representation for Robust Feature Extraction.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Feature selection for imbalanced data based on neighborhood rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

2018

Incremental rough set approach for hierarchical multicriteria classification.

[BibT_eX]

[DOI]

Inf. Sci., 2018

2017

Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values.

[BibT_eX]

[DOI]

Inf. Sci., 2017

A unified framework of dynamic three-way probabilistic rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2017

A Group Incremental Reduction Algorithm with Varying Data Values.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2017

2016

Efficient updating of probabilistic approximations with incremental objects.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Incremental updating of rough approximations in interval-valued information systems under attribute generalization.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Parallel attribute reduction in dominance-based neighborhood rough set.

[BibT_eX]

[DOI]

Inf. Sci., 2016

2015

A Decision-Theoretic Rough Set Approach for Dynamic Data Mining.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2015

Parallel computing of approximations in dominance-based rough sets approach.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values.

[BibT_eX]

[DOI]

Inf. Sci., 2015

An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2015

A fuzzy rough set approach for incremental feature selection on hybrid information systems.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2015

Incremental Updating Rough Approximations in Interval-valued Information Systems.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

PICKT: A Solution for Big Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

2014

A Rough Set-Based Method for Updating Decision Rules on Attribute Values' Coarsening and Refining.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Composite rough sets for dynamic data mining.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization.

[BibT_eX]

[DOI]

Chuan Luo

Inf. Sci., 2014

Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2014

Preface.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2014

Dynamic Maintenance of Three-Way Decision Rules.

[BibT_eX]

[DOI]

Chuan Luo

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

2013

Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time.

[BibT_eX]

[DOI]

Hongmei Tian

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Incremental approaches for updating approximations in set-valued ordered information systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

An approach for incremental maintenance of approximations in set-valued ordered decision systems while updating criteria values.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012

Dynamic Maintenance of Approximations Under a Rough-set Based Variable Precision Limited Tolerance Relation.

[BibT_eX]

[DOI]

Da Ruan

J. Multiple Valued Log. Soft Comput., 2012

Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining.

[BibT_eX]

[DOI]

Da Ruan

Knowl. Based Syst., 2012

A new blockmodeling based hierarchical clustering algorithm for web social networks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2012

An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Dynamic maintenance strategy for approximations in set-valued ordered information systems under the attribute generalization.

[BibT_eX]

[DOI]

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

Composite Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Computational Intelligence, 2012

2010

A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2010

A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems.

[BibT_eX]

[DOI]

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

A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time.

[BibT_eX]

[DOI]