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Neighbor Distribution Learning for Minority Class Augmentation Journal article
Zhou, Mengting, Gong, Zhiguo. Neighbor Distribution Learning for Minority Class Augmentation[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12), 8901-8913.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2024/09/03
Training  Topology  Graph Neural Networks  Data Models  Accuracy  Task Analysis  Image Color Analysis  Class-imbalanced Learning  Data Mining  Node Classification  
Informative Nodes Mining for Class-Imbalanced Representation Learning Journal article
Zhou, Mengting, Gong, Zhiguo. Informative Nodes Mining for Class-Imbalanced Representation Learning[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Class Imbalanced Learning  Costs  Graph Neural Network (Gnn)  Graph Neural Networks  Node Classification  Representation Learning  Social Networking (Online)  Task Analysis  Training  Training Data  
Neural Network Ensemble With Evolutionary Algorithm for Highly Imbalanced Classification Journal article
Sun,Poly Z.H., Zuo,Tian Yu, Law,Rob, Wu,Edmond Q., Song,Aiguo. Neural Network Ensemble With Evolutionary Algorithm for Highly Imbalanced Classification[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(5), 1394-1404.
Authors:  Sun,Poly Z.H.;  Zuo,Tian Yu;  Law,Rob;  Wu,Edmond Q.;  Song,Aiguo
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:5.3/5.7 | Submit date：2023/08/03
Network Architecture Search  Evolutionary Algorithm  Classification  Imbalanced Data  
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data Journal article
Vong, C. M., Du, J.. Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data[J]. Neural Networks (SCI-E), 2020, 268-278.
Authors:  Vong, C. M.;  Du, J.
Favorite |   IF:6.0/7.9 | Submit date：2022/08/09
Sequential Ensemble Learning  Multi-class Classification  Highly Imbalanced Data  
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification Journal article
Shu,Ting, Zhang,Bob, Tang,Yuan Yan. Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(8), 2847-2856.
Authors:  Shu,Ting;  Zhang,Bob;  Tang,Yuan Yan
Favorite | TC[WOS]:30 TC[Scopus]:36  IF:10.2/10.4 | Submit date：2021/03/11
Data Driven  Face Recognition  Imbalanced Classification  Spare Supervised Representation-based Classifier (Ssrc)  Sparse Representation-based Classification (Src)  
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data Journal article
Vong,Chi Man, Du,Jie. Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data[J]. NEURAL NETWORKS, 2020, 128, 268-278.
Authors:  Vong,Chi Man;  Du,Jie
Favorite | TC[WOS]:30 TC[Scopus]:35  IF:6.0/7.9 | Submit date：2021/03/11
Highly Imbalanced Data  Multi-class Classification  Sequential Ensemble Learning  
Kernel modified optimal margin distribution machine for imbalanced data classification Journal article
Zhang, Xiaogang, Wang, Dingxiang, Zhou, Yicong, Chen, Hua, Cheng, Fanyong, Liu, Min. Kernel modified optimal margin distribution machine for imbalanced data classification[J]. Pattern Recognition Letters, 2019, 125, 325-332.
Authors:  Zhang, Xiaogang;  Wang, Dingxiang;  Zhou, Yicong;  Chen, Hua;  Cheng, Fanyong; et al.
Favorite | TC[WOS]:16 TC[Scopus]:18  IF:3.9/4.2 | Submit date：2022/05/17
Balanced Detection Rate  Generalization Performance  Imbalanced Data Classification  Kernel Modification  Margin Distribution  
Adaptive multi-objective swarm fusion for imbalanced data classification Journal article
Jinyan Li, Simon Fong, Raymond K. Wong, Victor W. Chu. Adaptive multi-objective swarm fusion for imbalanced data classification[J]. INFORMATION FUSION, 2017, 39, 1-24.
Authors:  Jinyan Li;  Simon Fong;  Raymond K. Wong;  Victor W. Chu
Favorite | TC[WOS]:53 TC[Scopus]:77  IF:14.7/16.1 | Submit date：2018/10/30
Swarm Fusion  Swarm Intelligence Algorithm  Multi-objective  Crossover Rebalancing  Imbalanced Data Classification  
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification Journal article
Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond Wong, Kelvin K. L. Wong. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification[J]. BioData Mining, 2016, 9(1).
Authors:  Jinyan Li;  Simon Fong;  Yunsick Sung;  Kyungeun Cho;  Raymond Wong; et al.
Favorite | TC[WOS]:23 TC[Scopus]:31  IF:4.0/3.7 | Submit date：2018/10/30
Imbalanced Dataset  Swarm Optimisation  Under-sampling  Smote  Dynamic Multi-objective  Classification  Biomedical Data  
Improving the classification performance of biological imbalanced datasets by swarm optimization algorithms Journal article
Jinyan Li, Simon Fong, Sabah Mohammed, Jinan Fiaidhi. Improving the classification performance of biological imbalanced datasets by swarm optimization algorithms[J]. Journal of Supercomputing, 2015, 72(10), 3708–3728.
Authors:  Jinyan Li;  Simon Fong;  Sabah Mohammed;  Jinan Fiaidhi
Favorite | TC[WOS]:32 TC[Scopus]:45  IF:2.5/2.4 | Submit date：2018/10/30
Imbalanced Biological Data  Medical Classification  Swarm Algorithm  Parameter Optimization