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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  
Adversarial de-overlapping learning machines for supervised and semi-supervised learning Journal article
Sun, Yichen, Vong, Chi Man, Wang, Shitong. Adversarial de-overlapping learning machines for supervised and semi-supervised learning[J]. International Journal of Machine Learning and Cybernetics, 2024.
Authors:  Sun, Yichen;  Vong, Chi Man;  Wang, Shitong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.1/3.6 | Submit date：2024/11/05
Class Overlapping  Imbalanced Classification  Random Fourier Features  Semi-supervised Learning  
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  
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  
Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification Journal article
Du, Jie, Zhou, Yanhong, Liu, Peng, Vong, Chi Man, Wang, Tianfu. Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 34(6), 3234 - 3240.
Authors:  Du, Jie;  Zhou, Yanhong;  Liu, Peng;  Vong, Chi Man;  Wang, Tianfu
Favorite | TC[WOS]:22 TC[Scopus]:22  IF:10.2/10.4 | Submit date：2022/05/13
Class-imbalanced Deep Learning  Dynamic Changes  Hyperparameters Tuning  Loss Function  Parameter-free  
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