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Dynamic swarm class rebalancing for the process mining of rare events Journal article
The Journal of Supercomputing, 2021,Volume: 77,Page: 7549-7583
Authors:  Jinyan Li;  Yaoyang Wu;  Simon Fong;  Raymond K. Wong;  Victor W. Chu;  Kok‑leong Ong;  Kelvin K. L. Wong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Process Mining  Class Imbalance  Classification  Meta-heuristic  Over-sampling  Under-sampling  
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2020,Volume: 31,Issue: 8,Page: 2847-2856
Authors:  Shu,Ting;  Zhang,Bob;  Tang,Yuan Yan
Favorite |  | TC[WOS]:7 TC[Scopus]:9 | 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
Neural Networks, 2020,Volume: 128,Page: 268-278
Authors:  Vong,Chi Man;  Du,Jie
Favorite |  | TC[WOS]:2 TC[Scopus]:3 | Submit date:2021/03/11
Highly imbalanced data  Multi-class classification  Sequential ensemble learning  
Quality control of imbalanced mass spectra from isotopic labeling experiments Journal article
BMC Bioinformatics, 2019,Volume: 20,Issue: 1
Authors:  Li,Tianjun;  Chen,Long;  Gan,Min
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/09
Gradient Boosting  Imbalanced Data  Mass Spectra  Proteomics  Quality Control  
A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales Journal article
IEEE Transactions on Industrial Informatics, 2019,Volume: 16,Issue: 4,Page: 2290-2300
Authors:  Guangyi Xiao;  Qi Wu;  Hao Chen;  Da Cao;  Jingzhi Guo;  Zhiguo Gong
Favorite |  | TC[WOS]:3 TC[Scopus]:3 | Submit date:2021/03/09
Cnn Network  Food Material Recognition  Imbalance  Lab-to-reality Transition  Transfer Learning  
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6163-6177
Authors:  Vong, Chi-Man;  Du, Jie;  Wong, Chi-Man;  Cao, Jiu-Wen
Favorite |  | TC[WOS]:7 TC[Scopus]:12 | Submit date:2019/01/17
Dynamic changing distribution  extreme learning machine  imbalance class distribution  multiclass imbalance learning  online sequential learning  
Similarity majority under-sampling technique for easing imbalanced classification problem Conference paper
Data Mining, Melbourne, VIC, Australia, August 19-20, 2017
Authors:  Jinyan Li;  Simon Fong;  Shimin Hu;  Raymond K. Wong;  Sabah Mohammed
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2019/02/13
Imbalanced Classification  Under-sampling  Similarity Measure  Smute  
Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification Conference paper
International Conference on Extreme Learning Machine 2016 (ELM2016), Singapore, December, 2016
Authors:  Du, Jie;  Vong, Chi-Man;  Chang, Yajie;  Jiao, Yang
Favorite |  | TC[WOS]:2 TC[Scopus]:0 | Submit date:2018/10/30
Big Data  Imbalance Learning  Os-elm  Under-sampling  Over-sampling  
Incremental optimization mechanism for constructing a balanced very fast decision tree for big data Book chapter
出自: Innovative Research Methodologies in Management: Volume I: Philosophy, Measurement and Modelling, Cham:Palgrave Macmillan, 2017, 页码: 111-144
Authors:  Hang Yang;  Simon Fong
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Rare event prediction using similarity majority under-sampling technique Conference paper
Soft Computing in Data Science, Yogyakarta, Indonesia, 27-28 November
Authors:  Jinyan Li;  Simon Fong;  Shimin Hu;  Victor W. Chu;  Raymond K. Wong;  Sabah Mohammed;  Nilanjan Dey
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2019/02/13
Imbalanced Classification  Under-sampling  Similarity Measure  Smute