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ORCIDXibei Yang
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Publications
- 2024
[j146]Jicong Duan, Xibei Yang, Shang Gao, Hualong Yu
:
A partition-based problem transformation algorithm for classifying imbalanced multi-label data. Eng. Appl. Artif. Intell. 128: 107506 (2024)- [j144]Jicong Duan, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. Expert Syst. Appl. 236: 121366 (2024) - [j140]Jin Qian, Di Wang, Ying Yu, Xibei Yang, Shang Gao:
E3WD: A three-way decision model based on ensemble learning. Inf. Sci. 667: 120487 (2024) - 2023
- [j130]Yan Gu, Jicong Duan, Hualong Yu, Xibei Yang, Shang Gao:
PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. Appl. Intell. 53(22): 27844-27864 (2023) - [j123]Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. J. King Saud Univ. Comput. Inf. Sci. 35(4): 36-49 (2023) - [j122]Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. Neural Process. Lett. 55(4): 5245-5267 (2023) - 2022
- [j119]Baoquan Feng, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. IEEE Access 10: 120578-120591 (2022) - [j115]Jin Qian, DaWei Tang, Ying Yu, Xibei Yang, Shang Gao:
Hierarchical sequential three-way decision model. Int. J. Approx. Reason. 140: 156-172 (2022) - [j110]Aimin Zhang, Hualong Yu, Zhangjun Huan, Xibei Yang, Shang Zheng, Shang Gao:
SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors. Inf. Sci. 595: 70-88 (2022) - 2021
- [j98]Hualong Yu, Houjuan Xie, Xibei Yang, Haitao Zou, Shang Gao:
Online sequential extreme learning machine with the increased classes. Comput. Electr. Eng. 90: 107008 (2021) - [j92]Wenlu Dong, Shang Gao, Xibei Yang, Hualong Yu:
An Exploration of Online Missing Value Imputation in Non-stationary Data Stream. SN Comput. Sci. 2(1): 57 (2021) - 2020
- [j88]Ke Cheng, Shang Gao, Wenlu Dong, Xibei Yang, Qi Wang, Hualong Yu:
Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. Neurocomputing 403: 360-370 (2020) - [j83]Shang Gao, Wenlu Dong, Ke Cheng, Xibei Yang, Shang Zheng, Hualong Yu:
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. Neural Process. Lett. 52(3): 2151-2173 (2020) - 2019
- [j82]Ke Cheng, Chen Zhang, Hualong Yu, Xibei Yang, Haitao Zou, Shang Gao:
Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. IEEE Access 7: 170668-170681 (2019) - [j79]Xibei Yang, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian:
Pseudo-label neighborhood rough set: Measures and attribute reductions. Int. J. Approx. Reason. 105: 112-129 (2019) - 2014
- [j30]Xiaoning Song, Zi Liu, Xibei Yang, Shang Gao:
A new sparse representation-based classification algorithm using iterative class elimination. Neural Comput. Appl. 24(7-8): 1627-1637 (2014)
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