Jiucheng Xu
Orcid: 0000-0002-3860-3662
According to our database1,
Jiucheng Xu
authored at least 91 papers
between 2003 and 2024.
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Bibliography
2024
Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data.
Appl. Soft Comput., December, 2024
CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection.
Appl. Intell., August, 2024
LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning.
Int. J. Mach. Learn. Cybern., February, 2024
Feature selection based on multi-perspective entropy of mixing uncertainty measure in variable-granularity rough set.
Appl. Intell., January, 2024
Appl. Intell., January, 2024
Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection.
Knowl. Based Syst., 2024
LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy.
Inf. Sci., 2024
An adaptive dual-strategy constrained optimization-based coevolutionary optimizer for high-dimensional feature selection.
Comput. Electr. Eng., 2024
Feature Selection via Label Enhancement and Weighted Neighborhood Mutual Information for Multilabel Data.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
2023
Feature selection using neighborhood uncertainty measures and Fisher score for gene expression data classification.
Int. J. Mach. Learn. Cybern., December, 2023
Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data.
Appl. Soft Comput., November, 2023
Feature selection using relative dependency complement mutual information in fitting fuzzy rough set model.
Appl. Intell., August, 2023
TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data.
Inf. Fusion, July, 2023
Maximum relevance minimum redundancy-based feature selection using rough mutual information in adaptive neighborhood rough sets.
Appl. Intell., July, 2023
AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization.
Appl. Soft Comput., May, 2023
Feature selection using Information Gain and decision information in neighborhood decision system.
Appl. Soft Comput., March, 2023
TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm.
Int. J. Mach. Learn. Cybern., February, 2023
Feature selection using self-information uncertainty measures in neighborhood information systems.
Appl. Intell., February, 2023
Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine.
IEEE Trans. Fuzzy Syst., 2023
Int. J. Mach. Learn. Cybern., 2023
2022
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.
IEEE Trans. Fuzzy Syst., 2022
Sensors, 2022
TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification.
Knowl. Based Syst., 2022
Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors.
Inf. Sci., 2022
AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data.
Inf. Sci., 2022
A binary individual search strategy-based bi-objective evolutionary algorithm for high-dimensional feature selection.
Inf. Sci., 2022
Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy.
Neurocomputing, 2022
Int. J. Intell. Syst., 2022
Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels.
Int. J. Intell. Syst., 2022
Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropy.
Appl. Intell., 2022
Mixed measure-based feature selection using the Fisher score and neighborhood rough sets.
Appl. Intell., 2022
A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection.
Proceedings of the Intelligent Information Processing XI, 2022
2021
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets.
IEEE Trans. Fuzzy Syst., 2021
Int. J. Mach. Learn. Cybern., 2021
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.
Inf. Sci., 2021
Feature Selection Combining Information Theory View and Algebraic View in the Neighborhood Decision System.
Entropy, 2021
Entropy, 2021
2020
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems.
Knowl. Based Syst., 2020
Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.
Inf. Sci., 2020
Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification.
IEEE Access, 2020
Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets.
IEEE Access, 2020
2019
Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems.
Knowl. Based Syst., 2019
J. Intell. Fuzzy Syst., 2019
Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data.
J. Intell. Fuzzy Syst., 2019
Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification.
Inf. Sci., 2019
An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets.
Entropy, 2019
A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures.
Entropy, 2019
Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation.
Complex., 2019
Comput. Math. Methods Medicine, 2019
Joint neighborhood entropy-based gene selection method with fisher score for tumor classification.
Appl. Intell., 2019
Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems.
IEEE Access, 2019
IEEE Access, 2019
2018
Neural Comput. Appl., 2018
多粒度决策系统属性约简的最优粒度选择 (Optimal Granularity Selection of Attribute Reductions in Multi-granularity Decision System).
计算机科学, 2018
J. Intell. Fuzzy Syst., 2018
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification.
Comput. Math. Methods Medicine, 2018
Multi-pyramid image spatial structure based on coarse-to-fine pyramid and scale space.
CAAI Trans. Intell. Technol., 2018
IEEE Access, 2018
2017
An efficient gene selection technique based on Self-organizing Map and Particle Swarm Optimization.
J. Intell. Fuzzy Syst., 2017
Proceedings of the Fuzzy Systems and Data Mining III, 2017
2016
基于下近似分布粒度熵的变精度悲观多粒度粗糙集粒度约简 (Granularity Reduction of Variable Precision Pessimistic Multi-granulation Rough Set Based on Granularity Entropy of Lower Approximate Distribution).
计算机科学, 2016
Image Classification Using Spatial Difference Descriptor Under Spatial Pyramid Matching Framework.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016
2015
基于三支决策的支持向量机增量学习方法 (Three-way Decisions-based Incremental Learning Method for Support Vector Machine).
计算机科学, 2015
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015
2014
J. Softw., 2014
J. Intell. Manuf., 2014
J. Comput., 2014
A fast and robust model selection algorithm for multi-input multi-output support vector machine.
Neurocomputing, 2014
2013
Neural Comput. Appl., 2013
J. Softw., 2013
A Greedy Correlation Measure Based Attribute Clustering Algorithm for Gene Selection.
J. Comput., 2013
Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval.
J. Comput., 2013
2012
Feature selection using rough entropy-based uncertainty measures in incomplete decision systems.
Knowl. Based Syst., 2012
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012
2011
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
Application of using SCEP model for distributed scheduling with shared resources in hospital system.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011
2010
Trans. Rough Sets, 2010
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
2009
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009
Proceedings of the International Conference on Interoperability for Enterprise Software and Applications China, 2009
Ordered rules extraction for incomplete ordered decision system in granular computing.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
2008
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008
Theoretical Analysis on the Relations between Distance and Close-degree based on Granular Computing.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
2007
Knowledge Reduction and its Rough Entropy Representation of Decision Tables in Rough Set.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
2004
Proceedings of the Rough Sets and Current Trends in Computing, 2004
2003
Proceedings of the Rough Sets, 2003