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Gradient boosting model for unbalanced quantitative mass spectra quality assessment Conference paper
2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Authors:  Chen L.;  Zhang T.;  Li T.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/13
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
Favorite  |  View/Download:41/0  |  Submit date:2018/10/30
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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Gradient Boosting Model for Unbalanced Quantitative Mass Spectra Quality Assessment Conference paper
Authors:  Li, Tianjun;  Zhang, Tong;  Chen, Long;  IEEE
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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
Favorite  |  View/Download:6/0  |  Submit date:2019/02/13
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 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  
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.
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
Biomedical data  Classification  Dynamic Multi-objective  Imbalanced dataset  SMOTE  Swarm optimisation  Under-sampling