AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest P Bhadra, J Yan, J Li, S Fong, SWI Siu Scientific reports 8 (1), 1-10, 2018 | 244 | 2018 |
Adaptive multi-objective swarm fusion for imbalanced data classification J Li, S Fong, RK Wong, VW Chu Information Fusion 39, 1-24, 2018 | 98 | 2018 |
Adaptive swarm balancing algorithms for rare-event prediction in imbalanced healthcare data J Li, L Liu, S Fong, RK Wong, S Mohammed, J Fiaidhi, Y Sung, KKL Wong PloS one 12 (7), e0180830, 2017 | 74 | 2017 |
Hierarchical classification in text mining for sentiment analysis of online news J Li, S Fong, Y Zhuang, R Khoury Soft Computing 20 (9), 3411-3420, 2016 | 67 | 2016 |
Improving the classification performance of biological imbalanced datasets by swarm optimization algorithms J Li, S Fong, S Mohammed, J Fiaidhi The Journal of Supercomputing 72 (10), 3708-3728, 2016 | 62 | 2016 |
Feature selection in life science classification: metaheuristic swarm search S Fong, S Deb, XS Yang, J Li IT Professional 16 (4), 24-29, 2014 | 55 | 2014 |
Elitist Binary Wolf Search Algorithm for Heuristic Feature Selection in High-Dimensional Bioinformatics Datasets J Li, S Fong, RK Wong, R Millham, KKL Wong Scientific Reports 7 (1), 4354, 2017 | 45 | 2017 |
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification J Li, S Fong, Y Sung, K Cho, R Wong, KKL Wong BioData Mining 9 (1), 1-15, 2016 | 45 | 2016 |
Optimizing SMOTE by metaheuristics with neural network and decision tree J Li, S Fong, Y Zhuang 2015 3rd International Symposium on Computational and Business Intelligence …, 2015 | 37 | 2015 |
Sentiment analysis of online news using mallet S Fong, Y Zhuang, J Li, R Khoury 2013 International Symposium on Computational and Business Intelligence, 301-304, 2013 | 34 | 2013 |
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data J Li, Y Wu, S Fong, AJ Tallón-Ballesteros, X Yang, S Mohammed, F Wu The Journal of Supercomputing, 1-36, 2021 | 29 | 2021 |
A joint optimization framework of sparse coding and discriminative clustering Z Wang, Y Yang, S Chang, J Li, S Fong, TS Huang Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 27 | 2015 |
Hierarchical classification in Text mining for Sentiment Analysis J Li, S Fong, Y Zhuang, R Khoury 2014 International Conference on Soft Computing and Machine Intelligence, 46-51, 2014 | 26 | 2014 |
Dual feature selection and rebalancing strategy using metaheuristic optimization algorithms in X-ray image datasets J Li, S Fong, L Liu, N Dey, AS Ashour, L Moraru Multimedia Tools and Applications 78 (15), 20913-20933, 2019 | 22 | 2019 |
Solving the Under-Fitting Problem for Decision Tree Algorithms by Incremental Swarm Optimization in Rare-Event Healthcare Classification J Li, S Fong, S Mohammed, J Fiaidhi, Q Chen, Z Tan Journal of Medical Imaging and Health Informatics 6 (4), 1102-1110, 2016 | 22 | 2016 |
Eidetic Wolf Search Algorithm with a global memory structure S Fong, S Deb, T Hanne, JL Li European Journal of Operational Research 254 (1), 19-28, 2016 | 15 | 2016 |
Metaheuristic swarm search for feature selection in life science classification S Fong, S Deb, XS Yang, J Li IEEE IT Professional Magazine 16 (4), 24-29, 2014 | 13 | 2014 |
Rare Event Prediction Using Similarity Majority Under-Sampling Technique J Li, S Fong, S Hu, VW Chu, RK Wong, S Mohammed, N Dey International Conference on Soft Computing in Data Science, 23-39, 2017 | 11 | 2017 |
Adaptive multi-objective swarm crossover optimization for imbalanced data classification J Li, S Fong, M Yuan, RK Wong International Conference on Advanced Data Mining and Applications, 374-390, 2016 | 11 | 2016 |
A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets J Li, S Fong, RK Wong, S Mohammed, J Fiaidhi, Y Sung Applied Soft Computing 69, 784-805, 2018 | 8 | 2018 |