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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  |  View/Download:7/0  |  Submit date:2019/01/17
Dynamic changing distribution  extreme learning machine  imbalance class distribution  multiclass imbalance learning  online sequential learning  
A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets Journal article
APPLIED SOFT COMPUTING, 2018,Volume: 69,Page: 784-805
Authors:  Li, Jinyan;  Fong, Simon;  Wong, Raymond K.;  Mohammed, Sabah;  Fiaidhi, Jinan;  Sung, Yunsick
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Swarm intelligence algorithms  Dynamic multi-objective  Big highly imbalanced dataset  Binary classification  Rebalancing algorithm  
Adaptive multi-objective swarm fusion for imbalanced data classification Journal article
INFORMATION FUSION, 2018,Volume: 39,Page: 1-24
Authors:  li, Jinyan;  Fong, Simon;  Wong, Raymond K.;  Chu, Victor W.
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Swarm fusion  Swarm intelligence algorithm  Multi-objective  Crossover rebalancing  Imbalanced data classification  
Similarity majority under-sampling technique for easing imbalanced classification problem Conference paper
Communications in Computer and Information Science
Authors:  Li J.;  Fong S.;  Hu S.;  Wong R.K.;  Mohammed S.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/13
Imbalanced classification  Similarity measure  SMUTE  Under-sampling  
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  |  View/Download:5/0  |  Submit date:2018/10/30
Big Data  Imbalance Learning  Os-elm  Under-sampling  Over-sampling  
Post-boosting of classification boundary for imbalanced data using geometric mean Journal article
NEURAL NETWORKS, 2017,Volume: 96,Page: 101-114
Authors:  Du, Jie;  Vong, Chi-Man;  Pun, Chi-Man;  Wong, Pak-Kin;  Ip, Weng-Fai
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Imbalance Learning  Boosting  Weighted Elm  Smote  
Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data Journal article
PLOS ONE, 2017,Volume: 12,Issue: 7
Authors:  Li, Jinyan;  Liu, Lian-Sheng;  Fong, Simon;  Wong, Raymond K.;  Mohammed, Sabah;  Fiaidhi, Jinan;  Sung, Yunsick;  Wong, Kelvin K. L.
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Using graph-based ensemble learning to classify imbalanced data Conference paper
2017 3rd IEEE International Conference on Cybernetics, CYBCONF 2017 - Proceedings
Authors:  Qin A.;  Shang Z.;  Tian J.;  Zhang T.;  Wang Y.;  Tang Y.Y.
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Weighted sparse coding regularized nonconvex matrix regression for robust face recognition Journal article
INFORMATION SCIENCES, 2017,Volume: 394,Page: 1-17
Authors:  Zhang, Hengmin;  Yang, Jian;  Xie, Jianchun;  Qian, Jianjun;  Zhang, Bob
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Nonconvex matrix regression  Weighted sparse coding  Inexact augmented lagrange multiplier method  Face recognition  
Using Graph-Based Ensemble Learning to Classify Imbalanced Data Conference paper
Authors:  Qin, Anyong;  Shang, Zhaowei;  Tian, Jinyu;  Zhang, Taiping;  Wang, Yulong;  Tang, Yuan Yan;  IEEE
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Imbalanced data  Ensemble learning  Consensus maximization