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Subspace-based minority oversampling for imbalance classification Journal article
Li, Tianjun, Wang, Yingxu, Liu, Licheng, Chen, Long, Chen, C. L.Philip. Subspace-based minority oversampling for imbalance classification[J]. Information Sciences, 2023, 621, 371-388.
Authors:  Li, Tianjun;  Wang, Yingxu;  Liu, Licheng;  Chen, Long;  Chen, C. L.Philip
Favorite | TC[WOS]:16 TC[Scopus]:20  IF:0/0 | Submit date：2023/05/02
Class Imbalance  Low-rank Representation  Matrix Completion  Minority Over-sampling  
Dynamic swarm class rebalancing for the process mining of rare events Journal article
Jinyan Li, Yaoyang Wu, Simon Fong, Raymond K. Wong, Victor W. Chu, Kok‑leong Ong, Kelvin K. L. Wong. Dynamic swarm class rebalancing for the process mining of rare events[J]. The Journal of Supercomputing, 2021, 77, 7549-7583.
Authors:  Jinyan Li;  Yaoyang Wu;  Simon Fong;  Raymond K. Wong;  Victor W. Chu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:2.5/2.4 | Submit date：2021/03/09
Process Mining  Class Imbalance  Classification  Meta-heuristic  Over-sampling  Under-sampling  
Identification of cancer-related long non-coding RNAs using XGboost with high accuracy Journal article
Zhang,Xuan, Li,Tianjun, Wang,Jun, Li,Jing, Chen,Long, Liu,Changning. Identification of cancer-related long non-coding RNAs using XGboost with high accuracy[J]. Frontiers in Genetics, 2019, 10.
Authors:  Zhang,Xuan;  Li,Tianjun;  Wang,Jun;  Li,Jing;  Chen,Long; et al.
Favorite | TC[WOS]:24 TC[Scopus]:28  IF:2.8/3.3 | Submit date：2021/03/09
Cancer  Long Noncoding Rna  Machine Learning  Synthetic Minority Over-sampling Technique  Xgboost  
Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification Conference paper
Du, Jie, Vong, Chi-Man, Chang, Yajie, Jiao, Yang. Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification[C], GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG, 2018, 229-239.
Authors:  Du, Jie;  Vong, Chi-Man;  Chang, Yajie;  Jiao, Yang
Favorite | TC[WOS]:4  | Submit date：2018/10/30
Big Data  Imbalance Learning  Os-elm  Under-sampling  Over-sampling  
Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification Conference paper
Du, J., Vong, C. M.. Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification[C], 2017, 229-239.
Authors:  Du, J.;  Vong, C. M.
Favorite |  | Submit date：2022/08/09
Big Data  Imbalance Learning  OS-ELM  Under-sampling  over-sampling  
Noise shaping implementation in two-step/SAR ADC architectures based on delayed quantization error Conference paper
Chen Z., Zhang P., Wei H., Sin S.-W., U S.-P., Martins R.P., Wang Z.. Noise shaping implementation in two-step/SAR ADC architectures based on delayed quantization error[C], 2011.
Authors:  Chen Z.;  Zhang P.;  Wei H.;  Sin S.-W.;  U S.-P.; et al.
Favorite | TC[WOS]:0 TC[Scopus]:4 | Submit date：2019/02/11
Noise Shaping  Nyquist Adc  Over-sampling Adc