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FONG SIMON JAMES [1]
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Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity
Journal article
Qian, Wenbin, Li, Yihui, Ye, Qianzhi, Xia, Shuyin, Huang, Jintao, Ding, Weiping. Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(11), 5797-5810.
Authors:
Qian, Wenbin
;
Li, Yihui
;
Ye, Qianzhi
;
Xia, Shuyin
;
Huang, Jintao
; et al.
Favorite
|
TC[Scopus]:
0
IF:
8.9
/
8.8
|
Submit date:2024/07/04
Feature Selection
Granular Ball Computing
Labeling Confidence
Neighborhood Rough Set
Partial Label Learning
A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning
Journal article
Qian, Wenbin, Xu, Fankang, Huang, Jintao, Qian, Jin. A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning[J]. Knowledge-Based Systems, 2023, 278, 110898.
Authors:
Qian, Wenbin
;
Xu, Fankang
;
Huang, Jintao
;
Qian, Jin
Favorite
|
TC[WOS]:
14
TC[Scopus]:
15
IF:
7.2
/
7.4
|
Submit date:2023/09/22
Feature Selection
Fuzzy Rough Set
Granular Ball
Granular Computing
Label Distribution Learning
Local rough set-based feature selection for label distribution learning with incomplete labels
Journal article
Qian, Wenbin, Dong, Ping, Wang, Yinglong, Dai, Shiming, Huang, Jintao. Local rough set-based feature selection for label distribution learning with incomplete labels[J]. International Journal of Machine Learning and Cybernetics, 2022, 13(8), 2345-2364.
Authors:
Qian, Wenbin
;
Dong, Ping
;
Wang, Yinglong
;
Dai, Shiming
;
Huang, Jintao
Favorite
|
TC[WOS]:
8
TC[Scopus]:
9
IF:
3.1
/
3.6
|
Submit date:2022/05/17
Feature Selection
Incomplete Labels
Label Distribution Learning
Local Rough Set
Neighborhood Relation
Feature selection based on label distribution and fuzzy mutual information
Journal article
Xiong, Chuanzhen, Qian, Wenbin, Wang, Yinglong, Huang, Jintao. Feature selection based on label distribution and fuzzy mutual information[J]. INFORMATION SCIENCES, 2021, 574, 297-319.
Authors:
Xiong, Chuanzhen
;
Qian, Wenbin
;
Wang, Yinglong
;
Huang, Jintao
Favorite
|
TC[WOS]:
44
TC[Scopus]:
44
IF:
0
/
0
|
Submit date:2021/12/08
Feature Selection
Label Enhancement
Granular Computing
Multi-label Data
Label Distribution
Fuzzy Rough Set
Attribute reduction based on multi-objective decomposition-ensemble optimizer with rough set and entropy
Conference paper
Jie Yang, Simon Fong, Tengyue Li. Attribute reduction based on multi-objective decomposition-ensemble optimizer with rough set and entropy[C]:IEEE, 2019, 673-680.
Authors:
Jie Yang
;
Simon Fong
;
Tengyue Li
Favorite
|
TC[Scopus]:
6
|
Submit date:2021/03/09
Attribute Reduction
Multi-objective Optimization
Rough Set
Mutual Information
Novel parameterized utility function on dual hesitant fuzzy rough sets and its application in pattern recognition
Journal article
Wu, Zhongjun, Zhang, Fangwei, Sun, Jing, Wang, Wenjing, Tang, Xufeng. Novel parameterized utility function on dual hesitant fuzzy rough sets and its application in pattern recognition[J]. Information (Switzerland), 2019, 10(2).
Authors:
Wu, Zhongjun
;
Zhang, Fangwei
;
Sun, Jing
;
Wang, Wenjing
;
Tang, Xufeng
Favorite
|
TC[WOS]:
0
TC[Scopus]:
2
|
Submit date:2022/05/23
Correlation Coefficient
Hesitant Fuzzy Rough Set
Pattern Recognition
Traffic Engineering
Utility Function
The method of the intelligent decision based on the rough set
Conference paper
Han X., Wang Y.. The method of the intelligent decision based on the rough set[C], 2001, 357-360.
Authors:
Han X.
;
Wang Y.
Favorite
|
|
Submit date:2019/01/16
Attribute
Decision rule
Rough set