A temporal data mining approach for shelf-space allocation with consideration of product price. - Maryam Nafari; Jamal Shahrabi (Expert Syst. Appl., 2010)

Representing a Composing Fuzzy-DEA Model to Measure Knowledge Workers Productivity based upon their Efficiency and Cost Effectiveness. - Ali Abdoli; Jamal Shahrabi; Jalil Heidary (J. Univers. Comput. Sci., 2011)

A new hybrid artificial neural networks for rainfall-runoff process modeling. - Shahrokh Asadi; Jamal Shahrabi; Peyman Abbaszadeh; Shabnam Tabanmehr (Neurocomputing, 2013)

Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series. - Jamal Shahrabi; Esmaeil Hadavandi; Shahrokh Asadi (Knowl. Based Syst., 2013)

A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price. - Reza Hafezi; Jamal Shahrabi; Esmaeil Hadavandi (Appl. Soft Comput., 2015)

A novel Boosted-neural network ensemble for modeling multi-target regression problems. - Esmaeil Hadavandi; Jamal Shahrabi; Shahaboddin Shamshirband (Eng. Appl. Artif. Intell., 2015)

Online Anomaly Detection Based on Support Vector Clustering. - Mohammad Amin Adibi; Jamal Shahrabi (Int. J. Comput. Intell. Syst., 2015)

RipMC: RIPPER for Multiclass Classification. - Shahrokh Asadi; Jamal Shahrabi (Neurocomputing, 2016)

ACORI: a novel ACO algorithm for rule induction. - Shahrokh Asadi; Jamal Shahrabi (Knowl. Based Syst., 2016)

SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems. - Esmaeil Hadavandi; Jamal Shahrabi; Yoichi Hayashi (Soft Comput., 2016)

A reinforcement learning approach to parameter estimation in dynamic job shop scheduling. - Jamal Shahrabi; Mohammad Amin Adibi; Masoud Mahootchi (Comput. Ind. Eng., 2017)

Complexity-based parallel rule induction for multiclass classification. - Shahrokh Asadi; Jamal Shahrabi (Inf. Sci., 2017)

A time-varying quadratic programming for online clustering of streaming data. - Mohammad Amin Adibi; Jamal Shahrabi (Pattern Anal. Appl., 2018)

Detecting Informal Organization Through Data Mining Techniques. - Maryam Abdirad; Jamal Shahrabi (CoRR, 2020)

Dynamic Ensemble Learning for Credit Scoring: A Comparative Study. - Mahsan Abdoli; Mohammad Akbari; Jamal Shahrabi (CoRR, 2020)

Bagging Supervised Autoencoder Classifier for Credit Scoring. - Mahsan Abdoli; Mohammad Akbari; Jamal Shahrabi (CoRR, 2021)

Dealing with data intrinsic difficulties by learning an interPretable Ensemble Rule Learning (PERL) model. - Saeed Mostafaei; Abbas Ahmadi; Jamal Shahrabi (Inf. Sci., 2022)

Bagging Supervised Autoencoder Classifier for credit scoring. - Mahsan Abdoli; Mohammad Akbari 001; Jamal Shahrabi (Expert Syst. Appl., 2023)

USWAVG-BS: Under-Sampled Weighted AVeraGed BorderlineSMOTE to handle data intrinsic difficulties. - Saeed Mostafaei; Abbas Ahmadi; Jamal Shahrabi (Expert Syst. Appl., 2023)