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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.
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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.
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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
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Big Data  Imbalance Learning  Os-elm  Under-sampling  Over-sampling  
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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Solving imbalanced dataset problems for high-dimensional image processing by swarm optimization Book
2016
Authors:  Li J.;  Fong S.
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Feature selection  Imbalanced dataset  Multimedia and image dataset  Optimization  Swarm intelligence algorithm  
Solving the Under-Fitting Problem for Decision Tree Algorithms by Incremental Swarm Optimization in Rare-Event Healthcare Classification Journal article
Journal of Medical Imaging and Health Informatics, 2016,Volume: 6,Issue: 4,Page: 1102-1110
Authors:  Li, Jinyan;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Chen, Qian;  Tan, Zhen
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Decision Tree  Imbalanced Healthcare Dataset  Incremental Swarm Optimization  Swarm Intelligence Algorithm  
Optimizing SMOTE by Metaheuristics with Neural Network and Decision Tree Conference paper
Proceedings - 2015 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015, Bali, Indonesia, 7-9 Dec. 2015
Authors:  Jinyan Li;  Simon Fong;  Yan Zhuang
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Parameter Selection Optimization  Smote  Swarm Intelligence  
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification Journal article
BioData Mining, 2016,Volume: 9,Issue: 1,Page: 1
Authors:  Li J.;  Fong S.;  Sung Y.;  Cho K.;  Wong R.;  Wong K.K.L.
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Biomedical data  Classification  Dynamic Multi-objective  Imbalanced dataset  SMOTE  Swarm optimisation  Under-sampling  
Adaptive multi-objective swarm crossover optimization for imbalanced data classification Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors:  Li J.;  Fong S.;  Yuan M.;  Wong R.K.
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Class rebalancing  Classification  Swarm optimization