| Project selection by using fuzzy AHP and TOPSIS technique S Mahmoodzadeh, J Shahrabi, M Pariazar, MS Zaeri International Journal of Industrial and Manufacturing Engineering 1 (6), 270-275, 2007 | 531 | 2007 |
| A reinforcement learning approach to parameter estimation in dynamic job shop scheduling J Shahrabi, MA Adibi, M Mahootchi Computers & Industrial Engineering 110, 75-82, 2017 | 311 | 2017 |
| A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price R Hafezi, J Shahrabi, E Hadavandi Applied Soft Computing 29, 196-210, 2015 | 250 | 2015 |
| A new hybrid artificial neural networks for rainfall–runoff process modeling S Asadi, J Shahrabi, P Abbaszadeh, S Tabanmehr Neurocomputing 121, 470-480, 2013 | 174 | 2013 |
| Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series J Shahrabi, E Hadavandi, S Asadi Knowledge-Based Systems 43, 112-122, 2013 | 149 | 2013 |
| Application of data mining techniques in stock markets: A survey E Hajizadeh, HD Ardakani, J Shahrabi Journal of Economics and International Finance 2 (7), 109, 2010 | 135 | 2010 |
| Applying decision tree for identification of a low risk population for type 2 diabetes. Tehran Lipid and Glucose Study A Ramezankhani, O Pournik, J Shahrabi, D Khalili, F Azizi, F Hadaegh Diabetes research and clinical practice 105 (3), 391-398, 2014 | 89 | 2014 |
| The impact of oversampling with SMOTE on the performance of 3 classifiers in prediction of type 2 diabetes A Ramezankhani, O Pournik, J Shahrabi, F Azizi, F Hadaegh, D Khalili Medical decision making 36 (1), 137-144, 2016 | 88 | 2016 |
| A temporal data mining approach for shelf-space allocation with consideration of product price M Nafari, J Shahrabi Expert Systems with Applications 37 (6), 4066-4072, 2010 | 54 | 2010 |
| Supply chain demand forecasting; a comparison of machine learning techniques and traditional methods J Shahrabi, S S Mousavi, M Heydar Journal of Applied Sciences 9 (3), 521-527, 2009 | 54 | 2009 |
| A novel Boosted-neural network ensemble for modeling multi-target regression problems E Hadavandi, J Shahrabi, S Shamshirband Engineering Applications of Artificial Intelligence 45, 204-219, 2015 | 53 | 2015 |
| An application of association rule mining to extract risk pattern for type 2 diabetes using tehran lipid and glucose study database A Ramezankhani, O Pournik, J Shahrabi, F Azizi, F Hadaegh International journal of endocrinology and metabolism 13 (2), 2015 | 52 | 2015 |
| Decision tree-based modelling for identification of potential interactions between type 2 diabetes risk factors: a decade follow-up in a Middle East prospective cohort study A Ramezankhani, E Hadavandi, O Pournik, J Shahrabi, F Azizi, ... BMJ open 6 (12), e013336, 2016 | 50 | 2016 |
| A clustering-based modified variable neighborhood search algorithm for a dynamic job shop scheduling problem MA Adibi, J Shahrabi The International Journal of Advanced Manufacturing Technology 70, 1955-1961, 2014 | 48 | 2014 |
| A combined approach for maintenance strategy selection M Pariazar, J Shahrabi, MS Zaeri, S Parhizi Journal of Applied Sciences 8 (23), 4321-4329, 2008 | 48 | 2008 |
| Bagging supervised autoencoder classifier for credit scoring M Abdoli, M Akbari, J Shahrabi Expert Systems with Applications 213, 118991, 2023 | 41 | 2023 |
| ACORI: a novel ACO algorithm for Rule Induction S Asadi, J Shahrabi Knowledge-Based Systems 97, 175–187, 2016 | 39 | 2016 |
| A new hybrid algorithm for rainfall–runoff process modeling based on the wavelet transform and genetic fuzzy system V Nourani, A Tahershamsi, P Abbaszadeh, J Shahrabi, E Hadavandi Journal of Hydroinformatics 16 (5), 1004-1024, 2014 | 33 | 2014 |
| RipMC: RIPPER for Multiclass Classification S Asadi, J Shahrabi Neurocomputing 191, 19–33, 2016 | 32 | 2016 |
| SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems E Hadavandi, J Shahrabi, Y Hayashi Soft Computing 20, 2047-2065, 2016 | 29 | 2016 |
