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Mostafa Shabani
Mostafa Shabani
PhD, Department of Electrical and Computer Engineering, Aarhus University
Verified email at eng.au.dk
Title
Cited by
Cited by
Year
An optimized model using LSTM network for demand forecasting
H Abbasimehr, M Shabani, M Yousefi
Computers & industrial engineering 143, 106435, 2020
3432020
New approach to customer segmentation based on changes in customer value
M Hosseini, M Shabani
Journal of Marketing Analytics 3, 110-121, 2015
752015
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
332021
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
272021
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
102022
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
92020
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
62023
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
52020
Augmented bilinear network for incremental multi-stock time-series classification
M Shabani, DT Tran, J Kanniainen, A Iosifidis
Pattern Recognition 141, 109604, 2023
32023
Exact manifold Gaussian variational Bayes
M Magris, M Shabani, A Iosifidis
arXiv preprint arXiv:2210.14598, 2022
32022
Quasi black-box variational inference with natural gradients for Bayesian learning
M Magris, M Shabani, A Iosifidis
arXiv preprint arXiv:2205.11568, 2022
32022
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
32019
A Sentiment Aggregation System based on an OWA Operator
H Abbasimehr, M Shabani
5th International Conference on Web Research (ICWR), 1-5, 2019
22019
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
2023
Data-driven Inter-Stock Predictive Analytics
M Shabani
2022
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