Deep reinforcement learning for multiagent systems: a review of challenges, solutions, and applications TT Nguyen, ND Nguyen, S Nahavandi IEEE Transactions on Cybernetics 50 (9), 3826-3839, 2020 | 1191 | 2020 |
Deep learning for deepfakes creation and detection: a survey TT Nguyen, QVH Nguyen, DT Nguyen, DT Nguyen, T Huynh-The, ... Computer Vision and Image Understanding 223, 103525, 2022 | 784 | 2022 |
Deep reinforcement learning for cyber security TT Nguyen, VJ Reddi IEEE Transactions on Neural Networks and Learning Systems 34 (8), 3779-3795, 2021 | 560 | 2021 |
Artificial intelligence for the metaverse: a survey T Huynh-The, QV Pham, XQ Pham, TT Nguyen, Z Han, DS Kim Engineering Applications of Artificial Intelligence 117, 105581, 2022 | 302 | 2022 |
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions TT Nguyen, QVH Nguyen, DT Nguyen, S Yang, PW Eklund, T Huynh-The, ... arXiv preprint arXiv:2008.07343, 2020 | 302 | 2020 |
A review of situation awareness assessment approaches in aviation environments T Nguyen, CP Lim, ND Nguyen, L Gordon-Brown, S Nahavandi IEEE Systems Journal 13 (3), 3590-3603, 2019 | 183 | 2019 |
Federated learning enabled digital twins for smart cities: concepts, recent advances, and future directions SP Ramu, P Boopalan, QV Pham, PKR Maddikunta, T Huynh-The, ... Sustainable Cities and Society 79, 103663, 2022 | 173 | 2022 |
Classification of healthcare data using genetic fuzzy logic system and wavelets T Nguyen, A Khosravi, D Creighton, S Nahavandi Expert Systems with Applications 42 (4), 2184-2197, 2015 | 167 | 2015 |
A multi-objective deep reinforcement learning framework TT Nguyen, ND Nguyen, P Vamplew, S Nahavandi, R Dazeley, CP Lim Engineering Applications of Artificial Intelligence 96, 103915, 2020 | 151 | 2020 |
Medical data classification using interval type-2 fuzzy logic system and wavelets T Nguyen, A Khosravi, D Creighton, S Nahavandi Applied Soft Computing 30, 812-822, 2015 | 151 | 2015 |
Medical image analysis using wavelet transform and deep belief networks A Khatami, A Khosravi, T Nguyen, CP Lim, S Nahavandi Expert Systems with Applications 86, 190-198, 2017 | 145 | 2017 |
System design perspective for human-level agents using deep reinforcement learning: a survey ND Nguyen, T Nguyen, S Nahavandi IEEE Access 5, 27091-27102, 2017 | 121 | 2017 |
A sequential search-space shrinking using CNN transfer learning and a radon projection pool for medical image retrieval A Khatami, M Babaie, HR Tizhoosh, A Khosravi, T Nguyen, S Nahavandi Expert Systems with Applications 100, 224-233, 2018 | 114 | 2018 |
EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems T Nguyen, A Khosravi, D Creighton, S Nahavandi Expert Systems with Applications 42 (9), 4370-4380, 2015 | 107 | 2015 |
Modified AHP for gene selection and cancer classification using type-2 fuzzy logic TT Nguyen, S Nahavandi IEEE Transactions on Fuzzy Systems 24 (2), 273-287, 2016 | 105 | 2016 |
Extreme learning machine based transfer learning algorithms: a survey SM Salaken, A Khosravi, T Nguyen, S Nahavandi Neurocomputing 267, 516-524, 2017 | 101 | 2017 |
A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm O Tarkhaneh, TT Nguyen, S Mazaheri Information Sciences 565, 278-305, 2021 | 98 | 2021 |
Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus) TT Nguyen, PN Pathirana, T Nguyen, QVH Nguyen, A Bhatti, DC Nguyen, ... Scientific Reports 11, 3487, 2021 | 89 | 2021 |
Classification of multi-class BCI data by common spatial pattern and fuzzy system T Nguyen, I Hettiarachchi, A Khatami, L Gordon-Brown, CP Lim, ... IEEE Access 6 (2018), 27873-27884, 2018 | 85 | 2018 |
Hidden Markov models for cancer classification using gene expression profiles T Nguyen, A Khosravi, D Creighton, S Nahavandi Information Sciences 316, 293-307, 2015 | 75 | 2015 |