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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  
SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization Journal article
Miao, Jianguo, Liu, Xuanxuan, Guo, Li, Chen, Long. SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization[J]. Knowledge-Based Systems, 2024, 301, 112343.
Authors:  Miao, Jianguo;  Liu, Xuanxuan;  Guo, Li;  Chen, Long
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2024/09/03
Broad Learning System  Ensemble Learning  Feature Engineering  Imbalanced Data  Visualization  
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  
Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data Journal article
Yonghua Song, Ge Chen, Hongcai Zhang. Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data[J]. CSEE Journal of Power and Energy Systems, 2024, 10(1), 51-65.
Authors:  Yonghua Song;  Ge Chen;  Hongcai Zhang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.9/6.9 | Submit date：2024/04/24
Deep Learning  Demand Response  Distribution Networks  Imbalanced Data  Optimal Power Flow  
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  
Siamese networks with an online reweighted example for imbalanced data learning Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Zhou, Mingliang, Zhang, Mu, Gu, Dagang, Zhang, Taiping, Tang, Yuan Yan. Siamese networks with an online reweighted example for imbalanced data learning[J]. Pattern Recognition, 2022, 132, 108947.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Zhou, Mingliang;  Zhang, Mu; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:7.5/7.6 | Submit date：2023/01/30
Few-shot Learning  Reweighted Example Learning  Data Mining  Imbalanced Learning  
Cost-Sensitive Broad Learning System for Imbalanced Classification and Its Medical Application Journal article
Yao, Liang, Wong, Pak Kin, Zhao, Baoliang, Wang, Ziwen, Lei, Long, Wang, Xiaozheng, Hu, Ying. Cost-Sensitive Broad Learning System for Imbalanced Classification and Its Medical Application[J]. Mathematics, 2022, 10(5), 829.
Authors:  Yao, Liang;  Wong, Pak Kin;  Zhao, Baoliang;  Wang, Ziwen;  Lei, Long; et al.
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:2.3/2.2 | Submit date：2022/03/28
Broad Learning System  Cost-sensitive Learning  Imbalanced Data  Medical Diagnosis  Ultrasound Breast Cancer Diagnosis  
A deep generative approach for crash frequency model with heterogeneous imbalanced data Journal article
Ding, Hongliang, Lu, Yuhuan, Sze, N. N., Chen, Tiantian, Guo, Yanyong, Lin, Qinghai. A deep generative approach for crash frequency model with heterogeneous imbalanced data[J]. Analytic Methods in Accident Research, 2022, 34, 100212.
Authors:  Ding, Hongliang;  Lu, Yuhuan;  Sze, N. N.;  Chen, Tiantian;  Guo, Yanyong; et al.
Favorite | TC[WOS]:36 TC[Scopus]:38  IF:12.5/12.3 | Submit date：2022/05/13
Augmented Variational Autoencoder  Crash Frequency Model  Imbalanced Crash Data  Machine Learning  
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)