| Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series HJ Sadaei, PCL e Silva, FG Guimaraes, MH Lee Energy 175, 365-377, 2019 | 253 | 2019 |
| A novel chaotic based image encryption using a hybrid model of deoxyribonucleic acid and cellular automata R Enayatifara, HJ Sadaei, AH Abdullah, M Lee, IF Isninb Optics and Lasers in Engineering 71, 2015 | 156 | 2015 |
| A cooperative coevolutionary algorithm for the multi-depot vehicle routing problem FB de Oliveira, R Enayatifar, HJ Sadaei, FG Guimarães, JY Potvin Expert Systems with Applications 43, 117-130, 2016 | 131 | 2016 |
| Short-term load forecasting using a hybrid model with a refined exponentially weighted fuzzy time series and an improved harmony search HJ Sadaei, R Enayatifar, AH Abdullah, A Gani International Journal of Electrical Power & Energy Systems 62, 118–129, 2014 | 121 | 2014 |
| Short-term load forecasting method based on fuzzy time series, seasonality and long memory process HJ Sadaei, FG Guimarães, CJ da Silva, MH Lee, T Eslami International Journal of Approximate Reasoning, 2017 | 115 | 2017 |
| Stock market forecasting by using a hybrid model of exponential fuzzy time series FM Talarposhti, HJ Sadaei, R Enayatifar, FG Guimarães, M Mahmud, ... International Journal of Approximate Reasoning 70, 79-98, 2016 | 92 | 2016 |
| Probabilistic forecasting with fuzzy time series PC de Lima Silva, HJ Sadaei, R Ballini, FG Guimarães IEEE Transactions on Fuzzy Systems 28 (8), 1771-1784, 2019 | 87 | 2019 |
| Imperialist competitive algorithm combined with refined high-order weighted fuzzy time series (RHWFTS–ICA) for short term load forecasting R Enayatifar, HJ Sadaei, AH Abdullah, A Gani Energy Conversion and Management 76, 1104-1116, 2013 | 84 | 2013 |
| A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting HJ Sadaei, R Enayatifar, MH Lee, M Mahmud Applied Soft Computing 40, 132-149, 2016 | 76 | 2016 |
| Combining ARFIMA models and fuzzy time series for the forecast of long memory time series HJ Sadaei, R Enayatifar, FG Guimarães, M Mahmud, ZA Alzamil Neurocomputing 175, 782-796, 2016 | 68 | 2016 |
| Very short-term solar forecasting using fuzzy time series CA Severiano, PCL Silva, HJ Sadaei, FG Guimarães 2017 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2017 | 50 | 2017 |
| e Silva, PCDL, Guimarães, FG, & Lee HJ Sadaei MH, 365-377, 2019 | 46* | 2019 |
| Improving TAIEX forecasting using fuzzy time series with Box–Cox power transformation MH Lee, HJ Sadaei, Suhartono Journal of Applied Statistics 40 (11), 2407-2422, 2013 | 28 | 2013 |
| pyfts: Fuzzy time series for python PCL Silva, PO Lucas, HJ Sadaei, FG Guimarães Belo Horizonte, 2018 | 27 | 2018 |
| Interval forecasting with fuzzy time series PCL Silva, HJ Sadaei, FG Guimaraes 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 27 | 2016 |
| Fuzzy time series: an application to tourism demand forecasting MH Lee, ME Nor, HJ Sadaei, NHA Rahman, NAB Kamisan American Journal of Applied Sciences 9 (1), 132, 2012 | 27 | 2012 |
| Distributed evolutionary hyperparameter optimization for fuzzy time series PCL Silva, PO e Lucas, HJ Sadaei, FG Guimaraes IEEE Transactions on Network and Service Management 17 (3), 1309-1321, 2020 | 26 | 2020 |
| Multilayer stock forecasting model using fuzzy time series H Javedani Sadaei, MH Lee The Scientific World Journal 2014 (1), 610594, 2014 | 26 | 2014 |
| A Weighted Fuzzy Integrated Time Series for Forecasting Tourist Arrivals HJ Suhartono, Muhammad Hisyam Lee Informatics Engineering and Information Science 252, 206-217, 2011 | 24* | 2011 |
| Probabilistic forecasting with seasonal ensemble fuzzy time-series P Silva, MA Alves, CAS Junior, GL Vieira, FG Guimaraes, HJ Sadaei XIII Brazilian Congress on Computational Intelligence, Rio de Janeiro, 2017 | 17 | 2017 |
Frederico Gadelha GuimarãesDepartment of Computer Science, Universidade Federal de Minas Gerais在 ufmg.br 的电子邮件经过验证
