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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  
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  
Brain network excitatory/inhibitory imbalance is a biomarker for drug-naive Rolandic epilepsy: A radiomics strategy Journal article
Dai, Xi Jian, Liu, Heng, Yang, Yang, Wang, Yongjun, Wan, Feng. Brain network excitatory/inhibitory imbalance is a biomarker for drug-naive Rolandic epilepsy: A radiomics strategy[J]. EPILEPSIA, 2021, 62(10), 2426-2438.
Authors:  Dai, Xi Jian;  Liu, Heng;  Yang, Yang;  Wang, Yongjun;  Wan, Feng
Favorite | TC[WOS]:19 TC[Scopus]:17  IF:6.6/6.2 | Submit date：2021/12/08
Benign Epilepsy Of Childhood With Centro-temporal Spikes  Classification  Cognitive Network  Dynamic Causal Modeling  Excitation And Inhibition Imbalance  Machine Learning  Rolandic Epilepsy  Support Vector Machine  
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  
Incremental Weighted Ensemble Broad Learning System For Imbalanced Data Journal article
Yang, Kaixiang, Yu, Zhiwen, Chen, C. L.P., Cao, Wenming, You, Jane J., Wong, Hau San. Incremental Weighted Ensemble Broad Learning System For Imbalanced Data[J]. IEEE Transactions on Knowledge and Data Engineering, 2021.
Authors:  Yang, Kaixiang;  Yu, Zhiwen;  Chen, C. L.P.;  Cao, Wenming;  You, Jane J.; et al.
Favorite | TC[WOS]:51 TC[Scopus]:59  IF:8.9/8.8 | Submit date：2022/05/13
Adaptive Systems  Bagging  Binary Classification  Boosting  Broad Learning System  Imbalance Learning  Incremental Ensemble Learning  Learning Systems  Neural Networks  Sampling Methods  Training  
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  
A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales Journal article
Guangyi Xiao, Qi Wu, Hao Chen, Da Cao, Jingzhi Guo, Zhiguo Gong. A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales[J]. IEEE Transactions on Industrial Informatics, 2020, 16(4), 2290-2300.
Authors:  Guangyi Xiao;  Qi Wu;  Hao Chen;  Da Cao;  Jingzhi Guo; et al.
Favorite | TC[WOS]:20 TC[Scopus]:23  IF:11.7/11.4 | Submit date：2021/03/09
Cnn Network  Food Material Recognition  Imbalance  Lab-to-reality Transition  Transfer Learning  
Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift Journal article
Lu, Yang, Cheung, Yiu Ming, Yan Tang, Yuan. Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 31(8), 2764-2778.
Authors:  Lu, Yang;  Cheung, Yiu Ming;  Yan Tang, Yuan
Favorite | TC[WOS]:42 TC[Scopus]:65  IF:10.2/10.4 | Submit date：2021/12/06
Concept Drift  Ensemble Methods  Imbalance Learning  Online Learning  
Postboosting using Extended G-mean for Online Sequential Multiclass Imbalance Learning Journal article
Vong, C. M., Du, J., Wong, C. M., Cao, J. W.. Postboosting using Extended G-mean for Online Sequential Multiclass Imbalance Learning[J]. IEEE Transactions on Neural Networks and Learning Systems (SCI-E), 2018, 6163-6177.
Authors:  Vong, C. M.;  Du, J.;  Wong, C. M.;  Cao, J. W.
Favorite |  | Submit date：2022/08/09
Online Sequential Learning  Multi-class Imbalance Learning  Dynamic Changing Distribution  Imbalance Class Distribution  Extreme Learning Machine