Hossein Abbasimehr

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 16

Top Topics

Support Vector Regression

Customer Behavior

Autoregressive Conditional Heteroscedasticity

Top Venues

Expert Syst. Appl.

J. Ambient Intell. Humaniz. Comput.

Int. J. Intell. Eng. Informatics

Publications

Hossein Abbasimehr, Amirreza Behboodi, Aram Bahrini
A novel hybrid model to forecast seasonal and chaotic time series. Expert Syst. Appl. 239 (2024)
Hossein Abbasimehr, Aram Bahrini
Improving churn prediction using imperialist competitive algorithm for feature selection in telecom. Int. J. Bus. Inf. Syst. 45 (4) (2024)
Hossein Abbasimehr, Ali Noshad, Reza Paki
A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques. Expert Syst. Appl. 235 (2024)
Hossein Abbasimehr, Reza Paki, Aram Bahrini
A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models. Sustain. Comput. Informatics Syst. 38 (2023)
Hosein Fanai, Hossein Abbasimehr
A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection. Expert Syst. Appl. 217 (2023)
Aram Bahrini, Mohammadsadra Khamoshifar, Hossein Abbasimehr, Robert J. Riggs, Maryam Esmaeili, Rastin Mastali Majdabadkohne, Morteza Pasehvar
ChatGPT: Applications, Opportunities, and Threats. CoRR (2023)
Hossein Abbasimehr, Farzam Sheikh Baghery
A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis. Expert Syst. Appl. 204 (2022)
Hossein Abbasimehr, Aram Bahrini
An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation. Expert Syst. Appl. 192 (2022)
Hossein Abbasimehr, Reza Paki
Improving time series forecasting using LSTM and attention models. J. Ambient Intell. Humaniz. Comput. 13 (1) (2022)
Hossein Abbasimehr, Reza Paki, Aram Bahrini
A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting. Neural Comput. Appl. 34 (4) (2022)
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) (2021)
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) (2021)
Hossein Abbasimehr, Mostafa Shabani, Mohsen Yousefi
An optimized model using LSTM network for demand forecasting. Comput. Ind. Eng. 143 (2020)
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) (2020)
Hossein Abbasimehr, Mohammad Jafar Tarokh
A combined approach based on fuzzy AHP and fuzzy inference system to rank reviewers in online communities. Turkish J. Electr. Eng. Comput. Sci. 25 (2017)
Hossein Abbasimehr, Mohammad Jafar Tarokh
Trust Prediction in Online Communities Employing Neurofuzzy Approach. Appl. Artif. Intell. 29 (7) (2015)
Hossein Abbasimehr, Mostafa Setak, Mohammad Jafar Tarokh
A comparative assessment of the performance of ensemble learning in customer churn prediction. Int. Arab J. Inf. Technol. 11 (6) (2014)
Hossein Abbasimehr, Mohammad Jafar Tarokh, Mostafa Setak
Determination of Algorithms Making Balance Between Accuracy and Comprehensibility in Churn Prediction Setting. Int. J. Inf. Retr. Res. 1 (2) (2011)