| 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 | 2170 | 2021 |
| A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings MQ Raza, A Khosravi Renewable and Sustainable Energy Reviews 50, 1352-1372, 2015 | 1183 | 2015 |
| 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 | 737 | 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 | 710 | 2011 |
| Short-term load and wind power forecasting using neural network-based prediction intervals H Quan, D Srinivasan, A Khosravi IEEE transactions on neural networks and learning systems 25 (2), 303-315, 2013 | 694 | 2013 |
| 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 | 338 | 2021 |
| 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 | 284 | 2013 |
| 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 | 274 | 2010 |
| 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 | 268 | 2018 |
| 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 | 257 | 2019 |
| 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 | 250 | 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 | 235 | 2021 |
| Application of artificial intelligence in wearable devices: Opportunities and challenges D Nahavandi, R Alizadehsani, A Khosravi, UR Acharya Computer Methods and Programs in Biomedicine 213, 106541, 2022 | 225 | 2022 |
| 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 |
| An expert system for selecting wart treatment method F Khozeimeh, R Alizadehsani, M Roshanzamir, A Khosravi, P Layegh, ... Computers in biology and medicine 81, 167-175, 2017 | 203 | 2017 |
| Prediction intervals to account for uncertainties in travel time prediction A Khosravi, E Mazloumi, S Nahavandi, D Creighton, JWC Van Lint IEEE Transactions on Intelligent Transportation Systems 12 (2), 537-547, 2011 | 196 | 2011 |
| Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ... Computers in biology and medicine 135, 104418, 2021 | 193 | 2021 |
| Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients R Alizadehsani, Z Alizadeh Sani, M Behjati, Z Roshanzamir, S Hussain, ... Journal of medical virology 93 (4), 2307-2320, 2021 | 193 | 2021 |
| A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources H Quan, D Srinivasan, AM Khambadkone, A Khosravi Applied energy 152, 71-82, 2015 | 192 | 2015 |
| An uncertainty-aware transfer learning-based framework for COVID-19 diagnosis A Shamsi, H Asgharnezhad, SS Jokandan, A Khosravi, PM Kebria, ... IEEE transactions on neural networks and learning systems 32 (4), 1408-1417, 2021 | 184 | 2021 |
