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Jamal Shahrabi
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2020 – today
- 2023
- [j16]Mahsan Abdoli, Mohammad Akbari
, Jamal Shahrabi:
Bagging Supervised Autoencoder Classifier for credit scoring. Expert Syst. Appl. 213(Part): 118991 (2023) - [j15]Saeed Mostafaei
, Abbas Ahmadi
, Jamal Shahrabi:
USWAVG-BS: Under-Sampled Weighted AVeraGed BorderlineSMOTE to handle data intrinsic difficulties. Expert Syst. Appl. 227: 120379 (2023) - 2022
- [j14]Saeed Mostafaei, Abbas Ahmadi
, Jamal Shahrabi:
Dealing with data intrinsic difficulties by learning an interPretable Ensemble Rule Learning (PERL) model. Inf. Sci. 595: 294-312 (2022) - 2021
- [i3]Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi:
Bagging Supervised Autoencoder Classifier for Credit Scoring. CoRR abs/2108.07800 (2021) - 2020
- [i2]Maryam Abdirad, Jamal Shahrabi:
Detecting Informal Organization Through Data Mining Techniques. CoRR abs/2009.02895 (2020) - [i1]Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi:
Dynamic Ensemble Learning for Credit Scoring: A Comparative Study. CoRR abs/2010.08930 (2020)
2010 – 2019
- 2018
- [j13]Mohammad Amin Adibi, Jamal Shahrabi:
A time-varying quadratic programming for online clustering of streaming data. Pattern Anal. Appl. 21(4): 967-976 (2018) - 2017
- [j12]Jamal Shahrabi, Mohammad Amin Adibi, Masoud Mahootchi:
A reinforcement learning approach to parameter estimation in dynamic job shop scheduling. Comput. Ind. Eng. 110: 75-82 (2017) - [j11]Shahrokh Asadi, Jamal Shahrabi:
Complexity-based parallel rule induction for multiclass classification. Inf. Sci. 380: 53-73 (2017) - 2016
- [j10]Shahrokh Asadi, Jamal Shahrabi:
RipMC: RIPPER for Multiclass Classification. Neurocomputing 191: 19-33 (2016) - [j9]Shahrokh Asadi, Jamal Shahrabi:
ACORI: a novel ACO algorithm for rule induction. Knowl. Based Syst. 97: 175-187 (2016) - [j8]Esmaeil Hadavandi, Jamal Shahrabi, Yoichi Hayashi:
SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems. Soft Comput. 20(5): 2047-2065 (2016) - 2015
- [j7]Reza Hafezi
, Jamal Shahrabi, Esmaeil Hadavandi:
A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price. Appl. Soft Comput. 29: 196-210 (2015) - [j6]Esmaeil Hadavandi, Jamal Shahrabi, Shahaboddin Shamshirband:
A novel Boosted-neural network ensemble for modeling multi-target regression problems. Eng. Appl. Artif. Intell. 45: 204-219 (2015) - [j5]Mohammad Amin Adibi, Jamal Shahrabi:
Online Anomaly Detection Based on Support Vector Clustering. Int. J. Comput. Intell. Syst. 8(4): 735-746 (2015) - 2013
- [j4]Shahrokh Asadi, Jamal Shahrabi, Peyman Abbaszadeh
, Shabnam Tabanmehr:
A new hybrid artificial neural networks for rainfall-runoff process modeling. Neurocomputing 121: 470-480 (2013) - [j3]Jamal Shahrabi, Esmaeil Hadavandi, Shahrokh Asadi:
Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series. Knowl. Based Syst. 43: 112-122 (2013) - 2011
- [j2]Ali Abdoli, Jamal Shahrabi, Jalil Heidary:
Representing a Composing Fuzzy-DEA Model to Measure Knowledge Workers Productivity based upon their Efficiency and Cost Effectiveness. J. Univers. Comput. Sci. 17(10): 1390-1411 (2011) - 2010
- [j1]Maryam Nafari, Jamal Shahrabi:
A temporal data mining approach for shelf-space allocation with consideration of product price. Expert Syst. Appl. 37(6): 4066-4072 (2010)
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