| A review of uncertainty quantification in deep learning: Techniques, applications and challenges M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ... Information fusion 76, 243-297, 2021 | 2480 | 2021 |
| Industry 5.0—A human-centric solution S Nahavandi Sustainability 11 (16), 4371, 2019 | 1468 | 2019 |
| 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 | 1200 | 2020 |
| Lower upper bound estimation method for construction of neural network-based prediction intervals A Khosravi, S Nahavandi, D Creighton, AF Atiya IEEE transactions on neural networks 22 (3), 337-346, 2010 | 765 | 2010 |
| Comprehensive review of neural network-based prediction intervals and new advances A Khosravi, S Nahavandi, D Creighton, AF Atiya IEEE Transactions on neural networks 22 (9), 1341-1356, 2011 | 729 | 2011 |
| 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 | 559 | 2022 |
| Comments on ‘Information measure for performance of image fusion’ M Hossny, S Nahavandi, D Creighton Electronics letters 44 (18), 1066-1067, 2008 | 493 | 2008 |
| Dielectrophoretic platforms for bio-microfluidic systems K Khoshmanesh, S Nahavandi, S Baratchi, A Mitchell, K Kalantar-zadeh Biosensors and Bioelectronics 26 (5), 1800-1814, 2011 | 480 | 2011 |
| Epileptic seizures detection using deep learning techniques: a review A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, ... International journal of environmental research and public health 18 (11), 5780, 2021 | 393 | 2021 |
| Synchronization of an inertial neural network with time-varying delays and its application to secure communication S Lakshmanan, M Prakash, CP Lim, R Rakkiyappan, P Balasubramaniam, ... IEEE transactions on neural networks and learning systems 29 (1), 195-207, 2016 | 340 | 2016 |
| A review of vision-based gait recognition methods for human identification J Wang, M She, S Nahavandi, A Kouzani 2010 international conference on digital image computing: techniques and …, 2010 | 305 | 2010 |
| Prediction intervals for short-term wind farm power generation forecasts A Khosravi, S Nahavandi, D Creighton IEEE Transactions on sustainable energy 4 (3), 602-610, 2013 | 293 | 2013 |
| Neural network-based uncertainty quantification: A survey of methodologies and applications HMD Kabir, A Khosravi, MA Hosen, S Nahavandi IEEE access 6, 36218-36234, 2018 | 287 | 2018 |
| Construction of optimal prediction intervals for load forecasting problems A Khosravi, S Nahavandi, D Creighton IEEE Transactions on Power Systems 25 (3), 1496-1503, 2010 | 283 | 2010 |
| Automated detection and forecasting of covid-19 using deep learning techniques: A review A Shoeibi, M Khodatars, M Jafari, N Ghassemi, D Sadeghi, P Moridian, ... Neurocomputing 577, 127317, 2024 | 279 | 2024 |
| Machine learning-based coronary artery disease diagnosis: A comprehensive review R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, PM Kebria, ... Computers in biology and medicine 111, 103346, 2019 | 266 | 2019 |
| Efficient road detection and tracking for unmanned aerial vehicle H Zhou, H Kong, L Wei, D Creighton, S Nahavandi IEEE transactions on intelligent transportation systems 16 (1), 297-309, 2014 | 259 | 2014 |
| A new fuzzy-based combined prediction interval for wind power forecasting A Kavousi-Fard, A Khosravi, S Nahavandi IEEE Transactions on Power Systems 31 (1), 18-26, 2015 | 257 | 2015 |
| Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review M Khodatars, A Shoeibi, D Sadeghi, N Ghaasemi, M Jafari, P Moridian, ... Computers in biology and medicine 139, 104949, 2021 | 252 | 2021 |
| Interval type-2 fuzzy logic systems for load forecasting: A comparative study A Khosravi, S Nahavandi, D Creighton, D Srinivasan IEEE Transactions on Power Systems 27 (3), 1274-1282, 2012 | 220 | 2012 |