| Multi-label classification via incremental clustering on an evolving data stream TT Nguyen, MT Dang, AV Luong, AWC Liew, T Liang, J McCall Pattern Recognition 95, 96-113, 2019 | 73 | 2019 |
| A novel combining classifier method based on variational inference TT Nguyen, TTT Nguyen, XC Pham, AWC Liew Pattern Recognition 49, 198-212, 2016 | 72 | 2016 |
| Ensemble selection based on classifier prediction confidence TT Nguyen, AV Luong, MT Dang, AWC Liew, J McCall Pattern Recognition 100, 107104, 2020 | 71 | 2020 |
| Multi-label classification via label correlation and first order feature dependance in a data stream TT Nguyen, TTT Nguyen, AV Luong, QVH Nguyen, AWC Liew, B Stantic Pattern recognition 90, 35-51, 2019 | 64 | 2019 |
| Heterogeneous classifier ensemble with fuzzy rule-based meta learner TT Nguyen, MP Nguyen, XC Pham, AWC Liew Information Sciences 422, 144-160, 2018 | 51 | 2018 |
| Aggregation of classifiers: a justifiable information granularity approach TT Nguyen, XC Pham, AWC Liew, W Pedrycz IEEE transactions on cybernetics 49 (6), 2168-2177, 2018 | 45 | 2018 |
| A weighted multiple classifier framework based on random projection TT Nguyen, MT Dang, AWC Liew, JC Bezdek Information Sciences 490, 36-58, 2019 | 38 | 2019 |
| Variational inference based bayes online classifiers with concept drift adaptation TTT Nguyen, TT Nguyen, AWC Liew, SL Wang Pattern Recognition 81, 280-293, 2018 | 34 | 2018 |
| A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system TT Nguyen, AWC Liew, MT Tran, XC Pham, MP Nguyen 2014 IEEE Congress on Evolutionary Computation (CEC), 1698-1705, 2014 | 34 | 2014 |
| Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation T Dang, TT Nguyen, J McCall, E Elyan, CF Moreno-García Cognitive Computation, 1-20, 2024 | 33 | 2024 |
| Learning from data stream based on random projection and hoeffding tree classifier XC Pham, MT Dang, SV Dinh, S Hoang, TT Nguyen, AWC Liew 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 32 | 2017 |
| Weighted ensemble of deep learning models based on comprehensive learning particle swarm optimization for medical image segmentation T Dang, TT Nguyen, CF Moreno-García, E Elyan, J McCall 2021 IEEE Congress on Evolutionary Computation (CEC), 744-751, 2021 | 29 | 2021 |
| Combining heterogeneous classifiers via granular prototypes TT Nguyen, MP Nguyen, XC Pham, AWC Liew, W Pedrycz Applied Soft Computing 73, 795-815, 2018 | 26 | 2018 |
| Heterogeneous ensemble selection for evolving data streams AV Luong, TT Nguyen, AWC Liew, S Wang Pattern Recognition 112, 107743, 2021 | 24 | 2021 |
| Multi-layer heterogeneous ensemble with classifier and feature selection TT Nguyen, N Van Pham, MT Dang, AV Luong, J McCall, AWC Liew Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 725-733, 2020 | 21 | 2020 |
| Evolving interval-based representation for multiple classifier fusion TT Nguyen, MT Dang, VA Baghel, AV Luong, J McCall, AWC Liew Knowledge-based systems 201, 106034, 2020 | 20 | 2020 |
| Optimization of ensemble classifier system based on multiple objectives genetic algorithm TT Nguyen, AWC Liew, XC Pham, MP Nguyen 2014 International Conference on Machine Learning and Cybernetics 1, 46-51, 2014 | 19 | 2014 |
| Combining multi classifiers based on a genetic algorithm–a gaussian mixture model framework TT Nguyen, AWC Liew, MT Tran, MP Nguyen Intelligent Computing Methodologies: 10th International Conference, ICIC …, 2014 | 19 | 2014 |
| Ensemble of deep learning models with surrogate-based optimization for medical image segmentation T Dang, AV Luong, AWC Liew, J McCall, TT Nguyen 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | 17 | 2022 |
| A novel 2-stage combining classifier model with stacking and genetic algorithm based feature selection TT Nguyen, AWC Liew, XC Pham, MP Nguyen Intelligent Computing Methodologies: 10th International Conference, ICIC …, 2014 | 17 | 2014 |