| Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities M Seyedan, F Mafakheri Journal of Big Data 7 (1), 53, 2020 | 257 | 2020 |
| Cluster-based demand forecasting using Bayesian model averaging: An ensemble learning approach M Seyedan, F Mafakheri, C Wang Decision Analytics Journal 3, 100033, 2022 | 26 | 2022 |
| Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry Y Li, AR Abtahi, M Seyedan Annals of Operations Research 275, 461-484, 2019 | 21 | 2019 |
| Urban green spaces assessment approach to health, safety and environment BA Neisiani, SM Seyedan, E Radfar Int. J. Hum. Capital Urban Manage 1 (2), 123-132, 2016 | 17 | 2016 |
| Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities. J Big Data 7, 53 (2020) M Seyedan, F Mafakheri | 12 | |
| Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning M Seyedan, F Mafakheri, C Wang Supply Chain Analytics 3, 100024, 2023 | 6 | 2023 |
| Performance analysis and forecasting on crude oil: novel support vector regression application to market demand SM Seyedan, NN Adli, EOM Ebadati 2015 International Conference on Soft Computing Techniques and …, 2015 | 4 | 2015 |
| Implementation of child safety and health management system by means of FMEA method BA Neisiani, SM Seyedan, A Hadian Int. J. Hum. Capital Urban Manage 1 (1), 65-72, 2016 | 2 | 2016 |
Fereshteh MafakheriAssistant Prof.&Canada Research Chair,École nationale d'administration publique,Université du QuébecVerified email at enap.ca
