Dr. Jamal Shahrabi
Dr. Jamal Shahrabi
Data Scientist, Data Science Marketing Specialist, Ph.D. Dalhousie University
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Cited by
Cited by
Project selection by using fuzzy AHP and TOPSIS technique
S Mahmoodzadeh, J Shahrabi, M Pariazar, MS Zaeri
International Journal of Industrial and Manufacturing Engineering 1 (6), 270-275, 2007
A reinforcement learning approach to parameter estimation in dynamic job shop scheduling
J Shahrabi, MA Adibi, M Mahootchi
Computers & Industrial Engineering 110, 75-82, 2017
A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price
R Hafezi, J Shahrabi, E Hadavandi
Applied Soft Computing 29, 196-210, 2015
A new hybrid artificial neural networks for rainfall–runoff process modeling
S Asadi, J Shahrabi, P Abbaszadeh, S Tabanmehr
Neurocomputing 121, 470-480, 2013
Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series
J Shahrabi, E Hadavandi, S Asadi
Knowledge-Based Systems 43, 112-122, 2013
Application of data mining techniques in stock markets: A survey
E Hajizadeh, HD Ardakani, J Shahrabi
Journal of Economics and International Finance 2 (7), 109, 2010
Applying decision tree for identification of a low risk population for type 2 diabetes. Tehran Lipid and Glucose Study
A Ramezankhani, O Pournik, J Shahrabi, D Khalili, F Azizi, F Hadaegh
Diabetes research and clinical practice 105 (3), 391-398, 2014
The impact of oversampling with SMOTE on the performance of 3 classifiers in prediction of type 2 diabetes
A Ramezankhani, O Pournik, J Shahrabi, F Azizi, F Hadaegh, D Khalili
Medical decision making 36 (1), 137-144, 2016
A temporal data mining approach for shelf-space allocation with consideration of product price
M Nafari, J Shahrabi
Expert Systems with Applications 37 (6), 4066-4072, 2010
A novel Boosted-neural network ensemble for modeling multi-target regression problems
E Hadavandi, J Shahrabi, S Shamshirband
Engineering Applications of Artificial Intelligence 45, 204-219, 2015
Supply chain demand forecasting; a comparison of machine learning techniques and traditional methods
J Shahrabi, S S Mousavi, M Heydar
Journal of Applied Sciences 9 (3), 521-527, 2009
An application of association rule mining to extract risk pattern for type 2 diabetes using tehran lipid and glucose study database
A Ramezankhani, O Pournik, J Shahrabi, F Azizi, F Hadaegh
International journal of endocrinology and metabolism 13 (2), 2015
A combined approach for maintenance strategy selection
M Pariazar, J Shahrabi, MS Zaeri, S Parhizi
Journal of Applied Sciences 8 (23), 4321-4329, 2008
A clustering-based modified variable neighborhood search algorithm for a dynamic job shop scheduling problem
MA Adibi, J Shahrabi
The International Journal of Advanced Manufacturing Technology 70, 1955-1961, 2014
Decision tree-based modelling for identification of potential interactions between type 2 diabetes risk factors: a decade follow-up in a Middle East prospective cohort study
A Ramezankhani, E Hadavandi, O Pournik, J Shahrabi, F Azizi, ...
BMJ open 6 (12), e013336, 2016
ACORI: a novel ACO algorithm for Rule Induction
S Asadi, J Shahrabi
Knowledge-Based Systems 97, 175–187, 2016
Bagging supervised autoencoder classifier for credit scoring
M Abdoli, M Akbari, J Shahrabi
Expert Systems with Applications 213, 118991, 2023
RipMC: RIPPER for Multiclass Classification
S Asadi, J Shahrabi
Neurocomputing 191, 19–33, 2016
A new hybrid algorithm for rainfall–runoff process modeling based on the wavelet transform and genetic fuzzy system
V Nourani, A Tahershamsi, P Abbaszadeh, J Shahrabi, E Hadavandi
Journal of Hydroinformatics 16 (5), 1004-1024, 2014
SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems
E Hadavandi, J Shahrabi, Y Hayashi
Soft Computing 20, 2047-2065, 2016
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