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Subspace-based minority oversampling for imbalance classification Journal article
Li, Tianjun, Wang, Yingxu, Liu, Licheng, Chen, Long, Chen, C. L.Philip. Subspace-based minority oversampling for imbalance classification[J]. Information Sciences, 2023, 621, 371-388.
Authors:  Li, Tianjun;  Wang, Yingxu;  Liu, Licheng;  Chen, Long;  Chen, C. L.Philip
Favorite | TC[WOS]:16 TC[Scopus]:20  IF:0/0 | Submit date：2023/05/02
Class Imbalance  Low-rank Representation  Matrix Completion  Minority Over-sampling  
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation Journal article
Du,Jie, Zhang,Xiaoci, Liu,Peng, Vong,Chi Man, Wang,Tianfu. An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-15.
Authors:  Du,Jie;  Zhang,Xiaoci;  Liu,Peng;  Vong,Chi Man;  Wang,Tianfu
Favorite | TC[WOS]:2 TC[Scopus]:7  IF:10.2/10.4 | Submit date：2023/08/03
Class-imbalance Learning (Cil)  Correlation  Deep Metric Learning (Dml)  Diverse And Discriminant Feature  Face Recognition  Feature Extraction  Learning Systems  Loss Function With Adaptive Weights  Semantic Correlations Between Classes  Semantics  Task Analysis  Ultrasonic Imaging  
Multi-scale contextual semantic enhancement network for 3D medical image segmentation Journal article
Xia, Tingjian, Huang, Guoheng, Pun, Chi Man, Zhang, Weiwen, Li, Jiajian, Ling, Wing Kuen, Lin, Chao, Yang, Qi. Multi-scale contextual semantic enhancement network for 3D medical image segmentation[J]. PHYSICS IN MEDICINE AND BIOLOGY, 2022, 67(22), 225014.
Authors:  Xia, Tingjian;  Huang, Guoheng;  Pun, Chi Man;  Zhang, Weiwen;  Li, Jiajian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.3/3.4 | Submit date：2022/12/01
3d Medical Image Segmentation  Class Imbalance  Feature Enhancement  Liver Tumor  Multi-scale Context  Nasopharyngeal Carcinoma  
Boundary-Sensitive Loss Function with Location Constraint for Hard Region Segmentation Journal article
Jie Du, Kai Guan, Peng Liu, Yuanman Li, Tianfu Wang. Boundary-Sensitive Loss Function with Location Constraint for Hard Region Segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 2022, 27(2), 992-1003.
Authors:  Jie Du;  Kai Guan;  Peng Liu;  Yuanman Li;  Tianfu Wang
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:6.7/7.1 | Submit date：2023/01/30
Hard Region Segmentation  Intra-class Imbalance  Boundary Sensitive Loss  Location Constraint  
Bi-deformation-UNet: recombination of differential channels for printed surface defect detection Journal article
Chen, Ziyang, Huang, Guoheng, Wang, Ying, Qiu, Junhao, Yang, Fan, Yu, Zhiwen, Pun, Chi Man, Ling, Wing Kuen. Bi-deformation-UNet: recombination of differential channels for printed surface defect detection[J]. VISUAL COMPUTER, 2022, 39, 3995 - 4013.
Authors:  Chen, Ziyang;  Huang, Guoheng;  Wang, Ying;  Qiu, Junhao;  Yang, Fan; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:3.0/3.0 | Submit date：2022/08/05
Subtle Defects  Object Detection  Edge Detection  Metric Learning  Class-imbalance  
Shift-channel attention and weighted-region loss function for liver and dense tumor segmentation Journal article
Li, Jiajian, Huang, Guoheng, He, Junlin, Chen, Ziyang, Pun, Chi Man, Yu, Zhiwen, Ling, Wing Kuen, Liu, Lizhi, Zhou, Jian, Huang, Jinhua. Shift-channel attention and weighted-region loss function for liver and dense tumor segmentation[J]. Medical Physics, 2022, 49(11), 7193-7206.
Authors:  Li, Jiajian;  Huang, Guoheng;  He, Junlin;  Chen, Ziyang;  Pun, Chi Man; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.2/3.9 | Submit date：2022/08/05
Class Imbalance Learning  Multiscale Contextual Information  Shift-channel Attention  Weighted-region Loss Function  
Dynamic swarm class rebalancing for the process mining of rare events Journal article
Jinyan Li, Yaoyang Wu, Simon Fong, Raymond K. Wong, Victor W. Chu, Kok‑leong Ong, Kelvin K. L. Wong. Dynamic swarm class rebalancing for the process mining of rare events[J]. The Journal of Supercomputing, 2021, 77, 7549-7583.
Authors:  Jinyan Li;  Yaoyang Wu;  Simon Fong;  Raymond K. Wong;  Victor W. Chu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:2.5/2.4 | Submit date：2021/03/09
Process Mining  Class Imbalance  Classification  Meta-heuristic  Over-sampling  Under-sampling  
Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering Journal article
Lu, Yang, Cheung, Yiu Ming, Tang, Yuan Yan. Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering[J]. IEEE Transactions on Cybernetics, 2021, 51(3), 1598-1612.
Authors:  Lu, Yang;  Cheung, Yiu Ming;  Tang, Yuan Yan
Favorite | TC[WOS]:40 TC[Scopus]:51  IF:9.4/10.3 | Submit date：2021/12/07
Class Imbalance Learning  Competitive Learning  Data Clustering  Internal Validation Measure  K-means-type Algorithm  Multiprototype Clustering  
Sintering conditions recognition of rotary kiln based on kernel modification considering class imbalance Journal article
Wang, Dingxiang, Zhang, Xiaogang, Chen, Hua, Zhou, Yicong, Cheng, Fanyong. Sintering conditions recognition of rotary kiln based on kernel modification considering class imbalance[J]. ISA Transactions, 2020, 106, 271-282.
Authors:  Wang, Dingxiang;  Zhang, Xiaogang;  Chen, Hua;  Zhou, Yicong;  Cheng, Fanyong
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:6.3/5.9 | Submit date：2021/12/06
Class Imbalance  Kernel Modification  Odm  Sintering Condition Recognition  
Mining massive e-health data streams for IoMT enabled healthcare systems Journal article
Affan Ahmed Toor, Muhammad Usman, Farah Younas, Alvis Cheuk M. Fong, Sajid Ali Khan, Simon Fong. Mining massive e-health data streams for IoMT enabled healthcare systems[J]. Sensors (Switzerland), 2020, 20(7), 2131.
Authors:  Affan Ahmed Toor;  Muhammad Usman;  Farah Younas;  Alvis Cheuk M. Fong;  Sajid Ali Khan; et al.
Favorite | TC[WOS]:21 TC[Scopus]:36  IF:3.4/3.7 | Submit date：2021/03/09
Data Stream Mining  Iomt  Concept Drift  Class Imbalance  Machine Learning