Hossein Abbasimehr

According to our database, Hossein Abbasimehr authored at least 18 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques.

Hossein Abbasimehr, Ali Noshad, Reza Paki

Expert Syst. Appl., January, 2024

Improving churn prediction using imperialist competitive algorithm for feature selection in telecom.

Hossein Abbasimehr, Aram Bahrini

Int. J. Bus. Inf. Syst., 2024

A novel hybrid model to forecast seasonal and chaotic time series.

Hossein Abbasimehr, Amirreza Behboodi, Aram Bahrini

Expert Syst. Appl., 2024

2023

A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection.

Hosein Fanai, Hossein Abbasimehr

Expert Syst. Appl., May, 2023

A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models.

Hossein Abbasimehr, Reza Paki, Aram Bahrini

Sustain. Comput. Informatics Syst., April, 2023

ChatGPT: Applications, Opportunities, and Threats.

Aram Bahrini, Mohammadsadra Khamoshifar, Hossein Abbasimehr, Robert J. Riggs, Maryam Esmaeili, Rastin Mastali Majdabadkohne, Morteza Pasehvar

CoRR, 2023

2022

A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting.

Hossein Abbasimehr, Reza Paki, Aram Bahrini

Neural Comput. Appl., 2022

Improving time series forecasting using LSTM and attention models.

Hossein Abbasimehr, Reza Paki

J. Ambient Intell. Humaniz. Comput., 2022

A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis.

Hossein Abbasimehr, Farzam Sheikh Baghery

Expert Syst. Appl., 2022

An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation.

Hossein Abbasimehr, Aram Bahrini

Expert Syst. Appl., 2022

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

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

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

An optimized model using LSTM network for demand forecasting.

Hossein Abbasimehr, Mostafa Shabani, Mohsen Yousefi

Comput. Ind. Eng., 2020

2017

A combined approach based on fuzzy AHP and fuzzy inference system to rank reviewers in online communities.

Hossein Abbasimehr, Mohammad Jafar Tarokh

Turkish J. Electr. Eng. Comput. Sci., 2017

2015

Trust Prediction in Online Communities Employing Neurofuzzy Approach.

Hossein Abbasimehr, Mohammad Jafar Tarokh

Appl. Artif. Intell., 2015

2014

A comparative assessment of the performance of ensemble learning in customer churn prediction.

Hossein Abbasimehr, Mostafa Setak, Mohammad Jafar Tarokh

Int. Arab J. Inf. Technol., 2014

2011

Determination of Algorithms Making Balance Between Accuracy and Comprehensibility in Churn Prediction Setting.

Hossein Abbasimehr, Mohammad Jafar Tarokh, Mostafa Setak

Int. J. Inf. Retr. Res., 2011