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Mostafa Shabani
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2020 – today
- 2024
- [j7]Martin Magris, Mostafa Shabani, Alexandros Iosifidis
:
Manifold Gaussian Variational Bayes on the Precision Matrix. Neural Comput. 36(9): 1744-1798 (2024) - 2023
- [j6]Mostafa Shabani, Martin Magris, George Tzagkarakis, Juho Kanniainen
, Alexandros Iosifidis
:
Predicting the state of synchronization of financial time series using cross recurrence plots. Neural Comput. Appl. 35(25): 18519-18531 (2023) - [j5]Mostafa Shabani
, Dat Thanh Tran, Juho Kanniainen
, Alexandros Iosifidis
:
Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognit. 141: 109604 (2023) - 2022
- [c3]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO 2022: 1487-1491 - [i5]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR abs/2201.05459 (2022) - [i4]Martin Magris, Mostafa Shabani, Alexandros Iosifidis
:
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning. CoRR abs/2205.11568 (2022) - [i3]Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
:
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. CoRR abs/2207.11577 (2022) - [i2]Martin Magris, Mostafa Shabani, Alexandros Iosifidis
:
Exact Manifold Gaussian Variational Bayes. CoRR abs/2210.14598 (2022) - 2021
- [j4]Hossein Abbasimehr
, Mostafa Shabani
:
A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques. J. Ambient Intell. Humaniz. Comput. 12(1): 515-531 (2021) - [j3]Hossein Abbasimehr, Mostafa Shabani:
A new methodology for customer behavior analysis using time series clustering: A case study on a bank's customers. Kybernetes 50(2): 221-242 (2021) - [i1]Mostafa Shabani, Alexandros Iosifidis:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. CoRR abs/2107.06995 (2021) - 2020
- [j2]Hossein Abbasimehr
, Mostafa Shabani
, Mohsen Yousefi:
An optimized model using LSTM network for demand forecasting. Comput. Ind. Eng. 143: 106435 (2020) - [j1]Hossein Abbasimehr, Esmaeil Nourani, Mostafa Shabani:
A hybrid framework for ranking reviewers based on interval type-2 fuzzy AHP and VIKOR. Int. J. Intell. Eng. Informatics 8(2): 95-116 (2020) - [c2]Mostafa Shabani, Alexandros Iosifidis
:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. SSCI 2020: 2156-2161
2010 – 2019
- 2014
- [c1]Mostafa Shabani, Terence H. Chan:
Graph-based code construction for data storage. ISITA 2014: 704-708
Coauthor Index

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