Hossein Abbasimehr
Cited by
Cited by
An optimized model using LSTM network for demand forecasting
H Abbasimehr, M Shabani, M Yousefi
Computers & Industrial Engineering, 106435, 2020
A framework for identification of high-value customers by including social network based variables for churn prediction using neuro-fuzzy techniques
H Abbasimehr, M Setak, J Soroor
International Journal of Production Research 51 (4), 1279-1294, 2013
A neuro-fuzzy classifier for customer churn prediction
H Abbasimehr, M Setak, MJ Tarokh
Int J Comput Appl 19 (8), 35-41, 2011
A comparative assessment of the performance of ensemble learning in customer churn prediction.
H Abbasimehr, M Setak, MJ Tarokh
Int. Arab J. Inf. Technol. 11 (6), 599-606, 2014
Integrating AHP and data mining for effective retailer segmentation based on retailer lifetime value
A Parvaneh, H Abbasimehr, MJ Tarokh
Journal of Optimization in Industrial Engineering 5 (11), 25-31, 2012
Combining data mining and group decision making in retailer segmentation based on LRFMP variables
A Parvaneh, MJ Tarokh, H Abbasimehr
International Journal of Industrial Engineering & Production Research 25 (3 …, 2014
Trust prediction in online communities employing neurofuzzy approach
H Abbasimehr, MJ Tarokh
Applied Artificial Intelligence 29 (7), 733-751, 2015
A high level security mechanism for internet polls
S Mohammadi, H Abbasimehr
2010 2nd International Conference on Signal Processing Systems 3, V3-101-V3-105, 2010
A novel interval type-2 fuzzy AHP-TOPSIS approach for ranking reviewers in online communities
H Abbasimehr, MJ Tarokh
Scientia Iranica 23 (5), 2355-2373, 2016
A new framework for predicting customer behavior in terms of RFM by considering the temporal aspect based on time series techniques
H Abbasimehr, M Shabani
Journal of Ambient Intelligence and Humanized Computing, 2020
A combined approach based on fuzzy AHP and fuzzy inference system to rank reviewers in online communities
H Abbasimehr, M TAROKH
Turkish Journal of Electrical Engineering & Computer Sciences 25 (2), 862-876, 2017
Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization
H Abbasimehr, R Paki
Chaos, Solitons & Fractals 142, 110511, 2021
A new methodology for customer behavior analysis using time series clustering: A case study on a bank’s customers
H Abbasimehr, M Shabani
Kybernetes, 2019
Determination of Algorithms Making Balance Between Accuracy and Comprehensibility in Churn Prediction Setting
H Abbasimehr, MJ Tarokh, M Setak
International Journal of Information Retrieval Research (IJIRR) 1 (2), 39-54, 2011
A novel genetic algorithm based method for building accurate and comprehensible churn prediction models
H Abbasimehr, S Alizadeh
International journal of research in industrial engineering 2 (4), 1, 2013
Data mining application in retailer segmentation based on LRFM variables: case study
A Parvaneh, H Abbasimehr, MJ Tarokh
Global Journal on Technology 1, 2012
A hybrid framework for ranking reviewers based on interval type-2 fuzzy AHP and VIKOR
H Abbasimehr, E Nourani, M Shabani
International Journal of Intelligent Engineering Informatics 8 (2), 95-116, 2020
Improving time series forecasting using LSTM and attention models
H Abbasimehr, R Paki
Journal of Ambient Intelligence and Humanized Computing, 1-19, 2021
Improving Demand Forecasting with LSTM by Taking into Account the Seasonality of Data
H Abbasimehr, MK Nahari
J. Appl. Res. Ind. Eng. Vol 7 (2), 177-189, 2020
A New Approach to Compute a Realistic Credibility Rank for Reviewers Using Fuzzy Inference
H Abbasimehr, MJ Tarokh
International Journal of Information & Communication Technology Research 7 …, 2015
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