| 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 | 695 | 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 | 676 | 2011 |
| Comments on'Information measure for performance of image fusion' M Hossny, S Nahavandi, D Creighton Deakin University, 2008 | 464 | 2008 |
| 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 | 274 | 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 | 262 | 2010 |
| 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 | 256 | 2014 |
| 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 | 212 | 2012 |
| 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 | 192 | 2011 |
| 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 | 164 | 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 | 145 | 2015 |
| A review on computational intelligence methods for controlling traffic signal timing S Araghi, A Khosravi, D Creighton Expert systems with applications 42 (3), 1538-1550, 2015 | 145 | 2015 |
| Real time ergonomic assessment for assembly operations using kinect H Haggag, M Hossny, S Nahavandi, D Creighton 2013 UKSim 15th International Conference on Computer Modelling and …, 2013 | 117 | 2013 |
| A prediction interval-based approach to determine optimal structures of neural network metamodels A Khosravi, S Nahavandi, D Creighton Expert systems with applications 37 (3), 2377-2387, 2010 | 117 | 2010 |
| Prediction interval construction and optimization for adaptive neurofuzzy inference systems A Khosravi, S Nahavandi, D Creighton IEEE Transactions on Fuzzy Systems 19 (5), 983-988, 2011 | 116 | 2011 |
| Quantifying uncertainties of neural network-based electricity price forecasts A Khosravi, S Nahavandi, D Creighton Applied energy 112, 120-129, 2013 | 113 | 2013 |
| Recent advances on singlemodal and multimodal face recognition: a survey H Zhou, A Mian, L Wei, D Creighton, M Hossny, S Nahavandi IEEE Transactions on Human-Machine Systems 44 (6), 701-716, 2014 | 112 | 2014 |
| A genetic algorithm-based method for improving quality of travel time prediction intervals A Khosravi, E Mazloumi, S Nahavandi, D Creighton, JWC Van Lint Transportation Research Part C: Emerging Technologies 19 (6), 1364-1376, 2011 | 111 | 2011 |
| Quantifying a systems map: network analysis of a childhood obesity causal loop diagram J McGlashan, M Johnstone, D Creighton, K de la Haye, S Allender PloS one 11 (10), e0165459, 2016 | 106 | 2016 |
| 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 | 104 | 2015 |
| A neural network-GARCH-based method for construction of Prediction Intervals A Khosravi, S Nahavandi, D Creighton Electric Power Systems Research 96, 185-193, 2013 | 89 | 2013 |
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard University在 ieee.org 的电子邮件经过验证
