Jamal Shahrabi

According to our database, Jamal Shahrabi authored at least 19 papers between 2010 and 2023.

Collaborative distances:

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

2023

USWAVG-BS: Under-Sampled Weighted AVeraGed BorderlineSMOTE to handle data intrinsic difficulties.

Saeed Mostafaei, Abbas Ahmadi, Jamal Shahrabi

Expert Syst. Appl., October, 2023

Bagging Supervised Autoencoder Classifier for credit scoring.

Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi

Expert Syst. Appl., 2023

2022

Dealing with data intrinsic difficulties by learning an interPretable Ensemble Rule Learning (PERL) model.

Saeed Mostafaei, Abbas Ahmadi, Jamal Shahrabi

Inf. Sci., 2022

2021

Bagging Supervised Autoencoder Classifier for Credit Scoring.

Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi

CoRR, 2021

2020

Dynamic Ensemble Learning for Credit Scoring: A Comparative Study.

Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi

CoRR, 2020

Detecting Informal Organization Through Data Mining Techniques.

Maryam Abdirad, Jamal Shahrabi

CoRR, 2020

2018

A time-varying quadratic programming for online clustering of streaming data.

Mohammad Amin Adibi, Jamal Shahrabi

Pattern Anal. Appl., 2018

2017

Complexity-based parallel rule induction for multiclass classification.

Shahrokh Asadi, Jamal Shahrabi

Inf. Sci., 2017

A reinforcement learning approach to parameter estimation in dynamic job shop scheduling.

Jamal Shahrabi, Mohammad Amin Adibi, Masoud Mahootchi

Comput. Ind. Eng., 2017

2016

SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems.

Esmaeil Hadavandi, Jamal Shahrabi, Yoichi Hayashi

Soft Comput., 2016

ACORI: a novel ACO algorithm for rule induction.

Shahrokh Asadi, Jamal Shahrabi

Knowl. Based Syst., 2016

RipMC: RIPPER for Multiclass Classification.

Shahrokh Asadi, Jamal Shahrabi

Neurocomputing, 2016

2015

Online Anomaly Detection Based on Support Vector Clustering.

Mohammad Amin Adibi, Jamal Shahrabi

Int. J. Comput. Intell. Syst., 2015

A novel Boosted-neural network ensemble for modeling multi-target regression problems.

Esmaeil Hadavandi, Jamal Shahrabi, Shahaboddin Shamshirband

Eng. Appl. Artif. Intell., 2015

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

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 new hybrid artificial neural networks for rainfall-runoff process modeling.

Shahrokh Asadi, Jamal Shahrabi, Peyman Abbaszadeh, Shabnam Tabanmehr

Neurocomputing, 2013

2011

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

2010

A temporal data mining approach for shelf-space allocation with consideration of product price.

Maryam Nafari, Jamal Shahrabi

Expert Syst. Appl., 2010