Hossein Abbasimehr

24 papers Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Credit card fraud detection using a Bayesian-optimized deep supervised autoencoder with blending ensemble learning. Iran J. Comput. Sci. Hossein Abbasimehr, Hosein Fanai
2026	J	`jnl`	Deep time-series clustering via evolutionary learning and graph-based manifold learning. Inf. Process. Manag. Hossein Abbasimehr, Ali Noshad
2025	J	`jnl`	Big time series data forecasting based on deep autoencoding and clustering. Clust. Comput. Hossein Abbasimehr, Ali Noshad
2025	J	`jnl`	Localized global models using autoencoder-based clustering to forecast related time series. Int. J. Data Sci. Anal. Hossein Abbasimehr, Ali Noshad
2025	J	`jnl`	Multi-view clustering for localized global time series forecasting. Neurocomputing Hossein Abbasimehr, Alireza Abri, Amin Golzari Oskouei, Ali Noshad
2025	J	`jnl`	PB-TABL: Task Incremental Learning Strategy via Applying Piggyback Architecture on Temporal Attention-Augmented Bilinear Networks for Financial Time-Series Classification. IEEE Trans. Big Data Reza Paki, Hossein Abbasimehr
2024	J	`jnl`	A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques. Expert Syst. Appl. Hossein Abbasimehr, Ali Noshad, Reza Paki
2024	J	`jnl`	A novel hybrid model to forecast seasonal and chaotic time series. Expert Syst. Appl. Hossein Abbasimehr, Amirreza Behboodi, Aram Bahrini
2024	J	`jnl`	Improving churn prediction using imperialist competitive algorithm for feature selection in telecom. Int. J. Bus. Inf. Syst. Hossein Abbasimehr, Aram Bahrini
2023	J	`jnl`	A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models. Sustain. Comput. Informatics Syst. Hossein Abbasimehr, Reza Paki, Aram Bahrini
2023	J	`jnl`	A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection. Expert Syst. Appl. Hosein Fanai, Hossein Abbasimehr
2023	J	`jnl`	ChatGPT: Applications, Opportunities, and Threats. CoRR Aram Bahrini, Mohammadsadra Khamoshifar, Hossein Abbasimehr, Robert J. Riggs, Maryam Esmaeili, Rastin Mastali Majdabadkohne, Morteza Pasehvar
2022	J	`jnl`	A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting. Neural Comput. Appl. Hossein Abbasimehr, Reza Paki, Aram Bahrini
2022	J	`jnl`	A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis. Expert Syst. Appl. Hossein Abbasimehr, Farzam Sheikh Baghery
2022	J	`jnl`	An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation. Expert Syst. Appl. Hossein Abbasimehr, Aram Bahrini
2022	J	`jnl`	Improving time series forecasting using LSTM and attention models. J. Ambient Intell. Humaniz. Comput. Hossein Abbasimehr, Reza Paki
2021	J	`jnl`	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. Hossein Abbasimehr, Mostafa Shabani
2021	J	`jnl`	A new methodology for customer behavior analysis using time series clustering: A case study on a bank's customers. Kybernetes Hossein Abbasimehr, Mostafa Shabani
2020	J	`jnl`	A hybrid framework for ranking reviewers based on interval type-2 fuzzy AHP and VIKOR. Int. J. Intell. Eng. Informatics Hossein Abbasimehr, Esmaeil Nourani, Mostafa Shabani
2020	J	`jnl`	An optimized model using LSTM network for demand forecasting. Comput. Ind. Eng. Hossein Abbasimehr, Mostafa Shabani, Mohsen Yousefi
2017	J	`jnl`	A combined approach based on fuzzy AHP and fuzzy inference system to rank reviewers in online communities. Turkish J. Electr. Eng. Comput. Sci. Hossein Abbasimehr, Mohammad Jafar Tarokh
2015	J	`jnl`	Trust Prediction in Online Communities Employing Neurofuzzy Approach. Appl. Artif. Intell. Hossein Abbasimehr, Mohammad Jafar Tarokh
2014	J	`jnl`	A comparative assessment of the performance of ensemble learning in customer churn prediction. Int. Arab J. Inf. Technol. Hossein Abbasimehr, Mostafa Setak, Mohammad Jafar Tarokh
2011	J	`jnl`	Determination of Algorithms Making Balance Between Accuracy and Comprehensibility in Churn Prediction Setting. Int. J. Inf. Retr. Res. Hossein Abbasimehr, Mohammad Jafar Tarokh, Mostafa Setak