| 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 | 176 | 2020 |
| 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 | 117 | 2015 |
| 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 | 101 | 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 | 77 | 2016 |
| 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 | 75 | 2017 |
| 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 | 75 | 2015 |
| Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions TT Nguyen arXiv preprint arXiv: 2008.07343, DOI: 10.13140/RG.2.2.36491.23846/1, 2020 | 67 | 2020 |
| 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 | 66 | 2018 |
| 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 | 65 | 2017 |
| Deep learning for deepfakes creation and detection: a survey TT Nguyen, CM Nguyen, DT Nguyen, DT Nguyen, S Nahavandi arXiv preprint arXiv:1909.11573, https://arxiv.org/abs/1909.11573, 2019 | 63 | 2019 |
| Extreme learning machine based transfer learning algorithms: a survey SM Salaken, A Khosravi, T Nguyen, S Nahavandi Neurocomputing 267, 516-524, 2017 | 56 | 2017 |
| Hidden Markov models for cancer classification using gene expression profiles T Nguyen, A Khosravi, D Creighton, S Nahavandi Information Sciences 316, 293-307, 2015 | 50 | 2015 |
| Deep reinforcement learning for cyber security TT Nguyen, VJ Reddi arXiv preprint arXiv:1906.05799, https://arxiv.org/abs/1906.05799, 2019 | 49 | 2019 |
| Constrained fuzzy hierarchical analysis for portfolio selection under higher moments TT Nguyen, L Gordon-Brown IEEE Transactions on Fuzzy Systems 20 (4), 666-682, 2011 | 43 | 2011 |
| A novel aggregate gene selection method for microarray data classification T Nguyen, A Khosravi, D Creighton, S Nahavandi Pattern Recognition Letters 60, 16-23, 2015 | 41 | 2015 |
| Fuzzy portfolio allocation models through a new risk measure and fuzzy Sharpe ratio TT Nguyen, L Gordon-Brown, A Khosravi, D Creighton, S Nahavandi IEEE Transactions on Fuzzy Systems 23 (3), 656-676, 2014 | 38 | 2014 |
| 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 | 34 | 2019 |
| Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification T Nguyen, A Khosravi, D Creighton, S Nahavandi PLoS One 10 (3), e0120364, 2015 | 34 | 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 | 31 | 2020 |
| Mass spectrometry cancer data classification using wavelets and genetic algorithm T Nguyen, S Nahavandi, D Creighton, A Khosravi FEBS Letters 589 (24PartB), 3879-3886, 2015 | 30 | 2015 |
Professor Saeid NahavandiIEEE Fellow, Director, Institute for Intelligent Systems Research and Innovation (IISRI), DeakinVerified email at deakin.edu.au
