| An optimized model using LSTM network for demand forecasting H Abbasimehr, M Shabani, M Yousefi Computers & industrial engineering 143, 106435, 2020 | 353 | 2020 |
| New approach to customer segmentation based on changes in customer value M Hosseini, M Shabani Journal of Marketing Analytics 3, 110-121, 2015 | 76 | 2015 |
| A new methodology for customer behavior analysis using time series clustering: A case study on a bank’s customers H Abbasimehr, M Shabani Kybernetes 50 (2), 221-242, 2021 | 33 | 2021 |
| A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques H Abbasimehr, M Shabani Journal of ambient intelligence and humanized computing 12 (1), 515-531, 2021 | 27 | 2021 |
| Multi-head temporal attention-augmented bilinear network for financial time series prediction M Shabani, DT Tran, M Magris, J Kanniainen, A Iosifidis 2022 30th European Signal Processing Conference (EUSIPCO), 1487-1491, 2022 | 10 | 2022 |
| A hybrid framework for ranking reviewers based on interval type-2 fuzzy AHP and VIKOR H Abbasimehr, E Nourani, M Shabani International Journal of Intelligent Engineering Informatics 8 (2), 95-116, 2020 | 9 | 2020 |
| Bayesian bilinear neural network for predicting the mid‐price dynamics in limit‐order book markets M Magris, M Shabani, A Iosifidis Journal of Forecasting 42 (6), 1407-1428, 2023 | 6 | 2023 |
| Low-rank temporal attention-augmented bilinear network for financial time-series forecasting M Shabani, A Iosifidis 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2156-2161, 2020 | 5 | 2020 |
| Augmented bilinear network for incremental multi-stock time-series classification M Shabani, DT Tran, J Kanniainen, A Iosifidis Pattern Recognition 141, 109604, 2023 | 4 | 2023 |
| Exact manifold Gaussian variational Bayes M Magris, M Shabani, A Iosifidis arXiv preprint arXiv:2210.14598, 2022 | 3 | 2022 |
| Quasi black-box variational inference with natural gradients for Bayesian learning M Magris, M Shabani, A Iosifidis arXiv preprint arXiv:2205.11568, 2022 | 3 | 2022 |
| Forecasting of customer behavior using time series analysis H Abbasimehr, M Shabani The 7th International Conference on Contemporary Issues in Data Science, 188-201, 2019 | 3 | 2019 |
| A Sentiment Aggregation System based on an OWA Operator H Abbasimehr, M Shabani 5th International Conference on Web Research (ICWR), 1-5, 2019 | 2 | 2019 |
| Predicting the state of synchronization of financial time series using cross recurrence plots M Shabani, M Magris, G Tzagkarakis, J Kanniainen, A Iosifidis Neural Computing and Applications 35 (25), 18519-18531, 2023 | 1 | 2023 |
| Data-driven Inter-Stock Predictive Analytics M Shabani | | 2022 |
Hossein AbbasimehrAssociate professor, Azarbaijan Shahid Madani UniversityCorreu electrònic verificat a azaruniv.ac.ir
