Graph-based code construction for data storage. - Mostafa Shabani; Terence H. Chan (ISITA, 2014)

Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. - Mostafa Shabani; Alexandros Iosifidis (SSCI, 2020)

An optimized model using LSTM network for demand forecasting. - Hossein Abbasimehr; Mostafa Shabani; Mohsen Yousefi (Comput. Ind. Eng., 2020)

A hybrid framework for ranking reviewers based on interval type-2 fuzzy AHP and VIKOR. - Hossein Abbasimehr; Esmaeil Nourani; Mostafa Shabani (Int. J. Intell. Eng. Informatics, 2020)

A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques. - Hossein Abbasimehr; Mostafa Shabani (J. Ambient Intell. Humaniz. Comput., 2021)

A new methodology for customer behavior analysis using time series clustering: A case study on a bank's customers. - Hossein Abbasimehr; Mostafa Shabani (Kybernetes, 2021)

Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. - Mostafa Shabani; Dat Thanh Tran; Martin Magris; Juho Kanniainen; Alexandros Iosifidis (EUSIPCO, 2022)

Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning. - Martin Magris; Mostafa Shabani; Alexandros Iosifidis (CoRR, 2022)

Exact Manifold Gaussian Variational Bayes. - Martin Magris; Mostafa Shabani; Alexandros Iosifidis (CoRR, 2022)

Predicting the state of synchronization of financial time series using cross recurrence plots. - Mostafa Shabani; Martin Magris; George Tzagkarakis; Juho Kanniainen; Alexandros Iosifidis (Neural Comput. Appl., 2023)

Augmented bilinear network for incremental multi-stock time-series classification. - Mostafa Shabani; Dat Thanh Tran; Juho Kanniainen; Alexandros Iosifidis (Pattern Recognit., 2023)

Manifold Gaussian Variational Bayes on the Precision Matrix. - Martin Magris; Mostafa Shabani; Alexandros Iosifidis (Neural Comput., 2024)