Jiucheng Xu

Orcid: 0000-0002-3860-3662

According to our database1, Jiucheng Xu authored at least 85 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Sparse feature selection via local feature and high-order label correlation.
Appl. Intell., January, 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

BSSFS: binary sparrow search algorithm for feature selection.
Int. J. Mach. Learn. Cybern., 2023

Feature selection using binary monarch butterfly optimization.
Appl. Intell., 2023

2022
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.
IEEE Trans. Fuzzy Syst., 2022

A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines.
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

Feature selection based on multiview entropy measures in multiperspective rough set.
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

Density peaks clustering based on k-nearest neighbors and self-recommendation.
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

Weighted Schatten p-Norm Low Rank Error Constraint for Image Denoising.
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

Feature genes selection based on fuzzy neighborhood conditional entropy.
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

Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis.
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

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant.
IEEE Access, 2019

2018
A robust image watermarking scheme using Arnold transform and BP neural network.
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

Feature genes selection using Fisher transformation method.
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

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE.
IEEE Access, 2018

2017
An efficient gene selection technique based on Self-organizing Map and Particle Swarm Optimization.
J. Intell. Fuzzy Syst., 2017

Decision Evolution Set: A New Method of Rough Set in Time Series.
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

Methods and Practices of Three-Way Decisions for Complex Problem Solving.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Decisions Tree Learning Method Based on Three-Way Decisions.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
Concept Granule-Based Granular Lattice and Application in Knowledge Retrieval.
J. Softw., 2014

Towards a distributed multi-agent framework for shared resources scheduling.
J. Intell. Manuf., 2014

A Feature Selection Approach of Inconsistent Decision Systems in Rough Set.
J. Comput., 2014

A fast and robust model selection algorithm for multi-input multi-output support vector machine.
Neurocomputing, 2014

2013
Model selection of extreme learning machine based on multi-objective optimization.
Neural Comput. Appl., 2013

An Improved Correlation Measure-based SOM Clustering Algorithm for Gene Selection.
J. Softw., 2013

Granular Space-Based Feature Selection and Its Applications.
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

Decision Degree-based Decision Tree Technology for Rule Extraction.
J. Comput., 2012

A Color Image Segmentation Algorithm by Integrating Watershed with Region Merging.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

2011
Gene selection algorithm combining ReliefF and relative neighborhood rough set.
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
A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set.
Trans. Rough Sets, 2010

Knowledge Reduction Based on Granular Computing from Decision Information Systems.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

The Close-Degree of Concept Lattice and Attribute Reduction Algorithm Based on It.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Research of Knowledge Reduction Based on New Conditional Entropy.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Model Driven Service Interoperability through Use of Semantic Annotations.
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
New Reduction Algorithm Based on Decision Power of Decision Table.
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
Rough Set Theory Analysis on Decision Subdivision.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

2003
Querying Data from RRDB Based on Rough Sets Theory.
Proceedings of the Rough Sets, 2003


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