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2020 – today
- 2024
[j73]Jiucheng Xu, Changshun Zhou
, Shihui Xu, Lei Zhang, Ziqin Han:
Feature selection based on multi-perspective entropy of mixing uncertainty measure in variable-granularity rough set. Appl. Intell. 54(11-12): 147-168 (2024)- [j72]Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu:
Sparse feature selection via local feature and high-order label correlation. Appl. Intell. 54(11-12): 565-591 (2024) - [j71]Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu, Baofang Chang:
CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection. Appl. Intell. 54(15-16): 7397-7417 (2024) - [j70]Lin Sun, Mengmeng Li, Weiping Ding, Jiucheng Xu:
Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data. Appl. Soft Comput. 149(Part A): 110968 (2024) - [j69]Lin Sun, Wenjuan Du, Jiucheng Xu, Baofang Chang:
Noise-resistant fuzzy multineighbourhood rough set-based feature selection with label enhancement and its application for multilabel classification. Appl. Soft Comput. 167: 112284 (2024) - [j68]Tao Li, Shun-xi Zhang, Qiang Yang, Jiucheng Xu:
An adaptive dual-strategy constrained optimization-based coevolutionary optimizer for high-dimensional feature selection. Comput. Electr. Eng. 118: 109362 (2024) - [j67]Lin Sun, Yuxuan Ma, Weiping Ding, Zhihao Lu, Jiucheng Xu:
LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy. Inf. Sci. 667: 120501 (2024) - [j66]Lin Sun, Qifeng Zhang, Weiping Ding, Jiucheng Xu:
Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection. Knowl. Based Syst. 299: 112125 (2024) - [j65]Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu:
LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning. Int. J. Mach. Learn. Cybern. 15(2): 533-558 (2024) - [c19]Lin Sun, Jiaqi Guo, Xuejiao Wu, Jiucheng Xu:
Feature Selection via Label Enhancement and Weighted Neighborhood Mutual Information for Multilabel Data. ICIC (LNAI 2) 2024: 470-480 - 2023
- [j64]Lin Sun, Shanshan Si, Jing Zhao, Jiucheng Xu, Yaojin Lin, Zhiying Lv:
Feature selection using binary monarch butterfly optimization. Appl. Intell. 53(1): 706-727 (2023) - [j63]Jiucheng Xu, Kanglin Qu, Yuanhao Sun, Jie Yang:
Feature selection using self-information uncertainty measures in neighborhood information systems. Appl. Intell. 53(4): 4524-4540 (2023) - [j62]Kanglin Qu, Jiucheng Xu, Ziqin Han, Shihui Xu:
Maximum relevance minimum redundancy-based feature selection using rough mutual information in adaptive neighborhood rough sets. Appl. Intell. 53(14): 17727-17746 (2023) - [j61]Jiucheng Xu, Xiangru Meng, Kanglin Qu, Yuanhao Sun, Qincheng Hou:
Feature selection using relative dependency complement mutual information in fitting fuzzy rough set model. Appl. Intell. 53(15): 18239-18262 (2023) - [j60]Kanglin Qu, Jiucheng Xu, Qincheng Hou, Kangjian Qu, Yuanhao Sun:
Feature selection using Information Gain and decision information in neighborhood decision system. Appl. Soft Comput. 136: 110100 (2023) - [j59]Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, Yuanyuan Ma:
AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization. Appl. Soft Comput. 138: 110211 (2023) - [j58]Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu:
Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data. Appl. Soft Comput. 147: 110837 (2023) - [j57]Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu:
TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data. Inf. Fusion 95: 91-108 (2023) - [j56]Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, Huili Meng:
TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm. Int. J. Mach. Learn. Cybern. 14(2): 609-631 (2023) - [j55]Lin Sun, Shanshan Si, Weiping Ding, Jiucheng Xu, Yan Zhang:
BSSFS: binary sparrow search algorithm for feature selection. Int. J. Mach. Learn. Cybern. 14(8): 2633-2657 (2023) - [j54]Jiucheng Xu, Kanglin Qu, Kangjian Qu, Qincheng Hou, Xiangru Meng:
Feature selection using neighborhood uncertainty measures and Fisher score for gene expression data classification. Int. J. Mach. Learn. Cybern. 14(12): 4011-4028 (2023) - [j53]Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu:
Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine. IEEE Trans. Fuzzy Syst. 31(7): 2277-2291 (2023) - 2022
- [j52]Jiucheng Xu, Jie Yang, Yuanyuan Ma, Kanglin Qu, Yuhan Kang:
Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropy. Appl. Intell. 52(8): 9388-9405 (2022) - [j51]Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu:
Mixed measure-based feature selection using the Fisher score and neighborhood rough sets. Appl. Intell. 52(15): 17264-17288 (2022) - [j50]Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Anhui Tan:
Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels. Int. J. Intell. Syst. 37(10): 6773-6810 (2022) - [j49]Jiucheng Xu, Kanglin Qu, Xiangru Meng, Yuanhao Sun, Qincheng Hou:
Feature selection based on multiview entropy measures in multiperspective rough set. Int. J. Intell. Syst. 37(10): 7200-7234 (2022) - [j48]Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu:
Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy. Neurocomputing 473: 159-181 (2022) - [j47]Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu:
Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors. Inf. Sci. 593: 591-613 (2022) - [j46]Tao Li, Zhi-Hui Zhan, Jiucheng Xu, Qiang Yang, Yuan-Yuan Ma:
A binary individual search strategy-based bi-objective evolutionary algorithm for high-dimensional feature selection. Inf. Sci. 610: 651-673 (2022) - [j45]Lin Sun, Mengmeng Li, Weiping Ding, En Zhang, Xiaoxia Mu, Jiucheng Xu:
AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data. Inf. Sci. 612: 724-744 (2022) - [j44]Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu:
TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification. Knowl. Based Syst. 256: 109849 (2022) - [j43]Jiucheng Xu, Qincheng Hou, Kanglin Qu, Yuanhao Sun, Xiangru Meng:
A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines. Sensors 22(16): 6163 (2022) - [j42]Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy. IEEE Trans. Fuzzy Syst. 30(5): 1197-1211 (2022) - [c18]Tao Li, Jiucheng Xu, Meng Yuan, Zhigang Gao:
A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection. Intelligent Information Processing 2022: 65-79 - 2021
- [j41]Jiucheng Xu, Yihao Cheng, Yuanyuan Ma:
Weighted Schatten p-Norm Low Rank Error Constraint for Image Denoising. Entropy 23(2): 158 (2021) - [j40]Jiucheng Xu, Kanglin Qu, Meng Yuan, Jie Yang:
Feature Selection Combining Information Theory View and Algebraic View in the Neighborhood Decision System. Entropy 23(6): 704 (2021) - [j39]Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin:
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification. Inf. Sci. 578: 887-912 (2021) - [j38]Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang:
Density peaks clustering based on k-nearest neighbors and self-recommendation. Int. J. Mach. Learn. Cybern. 12(7): 1913-1938 (2021) - [j37]Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets. IEEE Trans. Fuzzy Syst. 29(1): 19-33 (2021) - 2020
- [j36]Miaomiao Huang, Lin Sun, Jiucheng Xu, Shiguang Zhang:
Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets. IEEE Access 8: 62011-62031 (2020) - [j35]Enhui Shi, Lin Sun, Jiucheng Xu, Shiguang Zhang:
Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification. IEEE Access 8: 145381-145400 (2020) - [j34]Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems. Inf. Sci. 537: 401-424 (2020) - [j33]Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems. Knowl. Based Syst. 192: 105373 (2020)
2010 – 2019
- 2019
- [j32]Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang:
An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant. IEEE Access 7: 72936-72955 (2019) - [j31]Lin Sun, Tengyu Yin, Weiping Ding, Jiucheng Xu:
Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems. IEEE Access 7: 175793-175815 (2019) - [j30]Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang, Yun Tian:
Joint neighborhood entropy-based gene selection method with fisher score for tumor classification. Appl. Intell. 49(4): 1245-1259 (2019) - [j29]Jiucheng Xu, Yun Wang, Keqiang Xu, Tianli Zhang:
Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis. Comput. Math. Methods Medicine 2019: 6705648:1-6705648:9 (2019) - [j28]Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian:
Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation. Complex. 2019: 4182148:1-4182148:20 (2019) - [j27]Lin Sun, Lanying Wang, Jiucheng Xu, Shiguang Zhang:
A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures. Entropy 21(2): 138 (2019) - [j26]Lin Sun, Xiaoyu Zhang, Jiucheng Xu, Shiguang Zhang:
An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets. Entropy 21(2): 155 (2019) - [j25]Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang:
Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification. Inf. Sci. 502: 18-41 (2019) - [j24]Jiucheng Xu, Yun Wang, Huiyu Mu, Fangzhou Huang:
Feature genes selection based on fuzzy neighborhood conditional entropy. J. Intell. Fuzzy Syst. 36(1): 117-126 (2019) - [j23]Lin Sun, Wei Wang, Jiucheng Xu, Shiguang Zhang:
Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data. J. Intell. Fuzzy Syst. 37(4): 5731-5742 (2019) - [j22]Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang:
Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems. Knowl. Based Syst. 186 (2019) - 2018
- [j21]Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian:
An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. IEEE Access 6: 68892-68909 (2018) - [j20]Jiucheng Xu, Nan Wang, Yuyao Wang:
Multi-pyramid image spatial structure based on coarse-to-fine pyramid and scale space. CAAI Trans. Intell. Technol. 3(4): 228-234 (2018) - [j19]Jiucheng Xu, Huiyu Mu, Yun Wang, Fangzhou Huang:
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification. Comput. Math. Methods Medicine 2018: 5490513:1-5490513:11 (2018) - [j18]Huiyu Mu, Jiucheng Xu, Yun Wang, Lin Sun:
Feature genes selection using Fisher transformation method. J. Intell. Fuzzy Syst. 34(6): 4291-4300 (2018) - [j17]Jinling Shi, Qianqian Zhang, Jiucheng Xu:
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 45(2): 152-156 (2018) - [j16]Lin Sun, Jiucheng Xu, Shangwang Liu, Shiguang Zhang, Yuan Li, Chang'an Shen:
A robust image watermarking scheme using Arnold transform and BP neural network. Neural Comput. Appl. 30(8): 2425-2440 (2018) - 2017
- [j15]Sen Feng, Jiucheng Xu, Tianhe Xu:
An efficient gene selection technique based on Self-organizing Map and Particle Swarm Optimization. J. Intell. Fuzzy Syst. 33(6): 3287-3294 (2017) - [c17]Yuwen Hu, Jiucheng Xu, Xiaoyu Yi:
Decision Evolution Set: A New Method of Rough Set in Time Series. FSDM 2017: 3-14 - 2016
- [j14]Huili Meng, Yuanyuan Ma, Jiucheng Xu:
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 43(2): 83-85 (2016) - [c16]Yuhui Li, Jiucheng Xu, Yifan Zhang, Chunjie Zhang, Hongsheng Yin, Hanqing Lu:
Image Classification Using Spatial Difference Descriptor Under Spatial Pyramid Matching Framework. MMM (1) 2016: 527-539 - 2015
- [j13]Jiucheng Xu, Yangyang Liu, Lina Du, Lin Sun:
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 42(6): 82-87 (2015) - [c15]Yangyang Liu, Jiucheng Xu, Lin Sun, Lina Du:
Decisions Tree Learning Method Based on Three-Way Decisions. RSFDGrC 2015: 389-400 - [c14]Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, Decui Liang, Jiye Liang, Baoxiang Liu, Dun Liu, Jianmin Ma, Duoqian Miao, Fan Min, Jian-Jun Qi, Lin Shang, Jiucheng Xu, Hailong Yang, Jingtao Yao, Yiyu Yao, Hongying Zhang, Yanping Zhang, Yanhui Zhu:
Methods and Practices of Three-Way Decisions for Complex Problem Solving. RSKT 2015: 255-265 - 2014
- [j12]Wentao Mao, Jiucheng Xu, Chuan Wang, Longlei Dong:
A fast and robust model selection algorithm for multi-input multi-output support vector machine. Neurocomputing 130: 10-19 (2014) - [j11]Lin Sun, Jiucheng Xu, Yuhui Li:
A Feature Selection Approach of Inconsistent Decision Systems in Rough Set. J. Comput. 9(6): 1333-1340 (2014) - [j10]Bernard Archimède, Agnès Letouzey, Muhammad Ali Memon, Jiucheng Xu:
Towards a distributed multi-agent framework for shared resources scheduling. J. Intell. Manuf. 25(5): 1077-1087 (2014) - [j9]Lin Sun, Jiucheng Xu, Yangyang Liu:
Concept Granule-Based Granular Lattice and Application in Knowledge Retrieval. J. Softw. 9(7): 1976-1983 (2014) - 2013
- [j8]Jiucheng Xu, Yun-peng Gao, Shuangqun Li, Lin Sun, Tianhe Xu, Jinyu Ren:
A Greedy Correlation Measure Based Attribute Clustering Algorithm for Gene Selection. J. Comput. 8(4): 951-959 (2013) - [j7]Lin Sun, Ning Zhong, Jiucheng Xu:
Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval. J. Comput. 8(8): 2101-2109 (2013) - [j6]Lin Sun, Jiucheng Xu, Yuwen Hu, Lina Du:
Granular Space-Based Feature Selection and Its Applications. J. Softw. 8(4): 817-826 (2013) - [j5]Jiucheng Xu, Tianhe Xu, Lin Sun, Jinyu Ren:
An Improved Correlation Measure-based SOM Clustering Algorithm for Gene Selection. J. Softw. 8(12): 3082-3087 (2013) - [j4]Wentao Mao, Mei Tian, Xizheng Cao, Jiucheng Xu:
Model selection of extreme learning machine based on multi-objective optimization. Neural Comput. Appl. 22(3-4): 521-529 (2013) - 2012
- [j3]Lin Sun, Jiucheng Xu, Zhanao Xue, Jinyu Ren:
Decision Degree-based Decision Tree Technology for Rule Extraction. J. Comput. 7(7): 1769-1779 (2012) - [j2]Lin Sun, Jiucheng Xu, Yun Tian:
Feature selection using rough entropy-based uncertainty measures in incomplete decision systems. Knowl. Based Syst. 36: 206-216 (2012) - [c13]Shuangqun Li, Jiucheng Xu, Jinyu Ren, Tianhe Xu:
A Color Image Segmentation Algorithm by Integrating Watershed with Region Merging. RSKT 2012: 167-173 - 2011
- [c12]Jiucheng Xu, Bernard Archimède, Agnès Letouzey:
Application of using SCEP model for distributed scheduling with shared resources in hospital system. ETFA 2011: 1-4 - [c11]Jiucheng Xu, Ling-jun Zhang, Lin Sun, Yun-peng Gao:
Gene selection algorithm combining ReliefF and relative neighborhood rough set. GrC 2011: 745-749 - 2010
- [j1]Jiucheng Xu, Lin Sun:
A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set. Trans. Rough Sets 12: 76-89 (2010) - [c10]Huili Meng, Jiucheng Xu:
The Close-Degree of Concept Lattice and Attribute Reduction Algorithm Based on It. GrC 2010: 732-734 - [c9]Lin Sun, Jiucheng Xu, Shuangqun Li:
Knowledge Reduction Based on Granular Computing from Decision Information Systems. RSKT 2010: 46-53
2000 – 2009
- 2009
- [c8]Jiucheng Xu, Jinling Shi, Wanli Cheng:
Ordered rules extraction for incomplete ordered decision system in granular computing. GrC 2009: 638-643 - [c7]Arne-Jørgen Berre, Fangning Liu, Jiucheng Xu, Brian Elvesæter:
Model Driven Service Interoperability through Use of Semantic Annotations. IESA 2009: 90-96 - [c6]Jiucheng Xu, Lin Sun:
Research of Knowledge Reduction Based on New Conditional Entropy. RSKT 2009: 144-151 - 2008
- [c5]Jiucheng Xu, Yuanyuan Ma, Congpin Zhang:
Theoretical Analysis on the Relations between Distance and Close-degree based on Granular Computing. GrC 2008: 694-697 - [c4]Jiucheng Xu, Lin Sun:
New Reduction Algorithm Based on Decision Power of Decision Table. RSKT 2008: 180-188 - 2007
- [c3]Jiucheng Xu, Lin Sun:
Knowledge Reduction and its Rough Entropy Representation of Decision Tables in Rough Set. GrC 2007: 249- - 2004
- [c2]Jiucheng Xu, Junyi Shen, Guoyin Wang:
Rough Set Theory Analysis on Decision Subdivision. Rough Sets and Current Trends in Computing 2004: 340-345 - 2003
- [c1]Qiusheng An, Guoyin Wang, Junyi Shen, Jiucheng Xu:
Querying Data from RRDB Based on Rough Sets Theory. RSFDGrC 2003: 342-345
Coauthor Index
[j72] [j71] [j70] [j69] [j67] [j66] [j65] [j64] [j59] [j58] [j57] [j56] [j55] [j53] [j51] [j50] [j48] [j47] [j45] [j44] [j42] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j28] [j27] [j26] [j25] [j23] [j22] [j21] [j18] [j16] [j13] [c15] [j11] [j9] [j8] [j7] [j6] [j5] [j3] [j2] [c11] [j1] [c9] [c6] [c4] [c3]
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