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Abbas Khosravi
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Year
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
16212021
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
10812015
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
6712010
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
6552013
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
6472011
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
2702013
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
2642021
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
2552010
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
2362015
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
2322018
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
2112012
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
2012019
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
1872017
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
1872011
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
1832015
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
1782021
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
1722021
Prediction interval estimation of electricity prices using PSO-tuned support vector machines
NA Shrivastava, A Khosravi, BK Panigrahi
IEEE Transactions on Industrial Informatics 11 (2), 322-331, 2015
1702015
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
1622015
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
1592021
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