Mahdi Eftekhari

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Farid Saberi-MovahedGraduate University of Advanced TechnologyVerified email at kgut.ac.ir
Mohammad K. EbrahimpourSr. Applied Research Scientist, EricssonVerified email at ucmerced.edu
Farhad RahdariGraduate University of Advanced TechnologyVerified email at kgut.ac.ir
Javad Rahimipour AnarakiSr. Researcher at HuaweiVerified email at utoronto.ca
Shima KamyabPh.D student, Shiraz UniversityVerified email at cse.shirazu.ac.ir
Mehrdad HosseinzadehPhD Student, University of ManitobaVerified email at cs.umanitoba.ca
Hossein Nezamabadi-pourProfessor of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, IranVerified email at uk.ac.ir
Mohammad Hossein BagheripourProf. of Civil Engng. Shahid Bahonar University of Kerman IranVerified email at uk.ac.ir
Mojtaba AsadiCenter for Transportation Infrastructure Systems, the University of Texas at El PasoVerified email at miners.utep.edu
Soheila BarchinezhadUniversity of TehranVerified email at ut.ac.ir
Dr. Ali MohebbiProfessor of Chemical Engineering, Shahid Bahonar University of KermanVerified email at uk.ac.ir
Hossein Kaydanishahid bahonar university of kermanVerified email at eng.uk.ac.ir
Chang Wook AhnProfessor, Gwangju Institute of Science and Technology (GIST)Verified email at skku.edu
Ali EsmailizadehShahid Bahonar University of KermanVerified email at uk.ac.ir
Mehran AmiriHybrid Lidar Systems, GermanyVerified email at uni-hildesheim.de
Nicholas S. FlannAssociate Professor of Computer Science, Utah State UniversityVerified email at usu.edu
Mansoor Zolghadri JahromiShiraz UniversityVerified email at shirazu.ac.ir
Kamilia Ahmadi, PhDSenior ML Manager - Personalization and Recommendation

Mahdi Eftekhari

Professor of Computer Eng, Shahid Bahonar University of Kerman, Kerman, Iran

Verified email at uk.ac.ir - Homepage

Machine Learning Artificial intelligence computational intelligence Fuzzy systems Data mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Ensemble of feature selection methods: A hesitant fuzzy sets approach MK Ebrahimpour, M Eftekhari Applied Soft Computing 50, 300-312, 2017	89	2017
Extracting compact fuzzy rules for nonlinear system modeling using subtractive clustering, GA and unscented filter M Eftekhari, SD Katebi Applied Mathematical Modelling 32 (12), 2634-2651, 2008	65	2008
A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches R Mousavi, M Eftekhari Applied Soft Computing 37, 652-666, 2015	62	2015
Eliciting transparent fuzzy model using differential evolution M Eftekhari, SD Katebi, M Karimi, AH Jahanmiri Applied soft computing 8 (1), 466-476, 2008	62	2008
Feature selection using multimodal optimization techniques S Kamyab, M Eftekhari Neurocomputing 171, 586-597, 2016	60	2016
Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithm H Kaydani, A Mohebbi, M Eftekhari Journal of Petroleum Science and Engineering 123, 201-206, 2014	56	2014
Fuzzy partitioning of continuous attributes through discretization methods to construct fuzzy decision tree classifiers M Zeinalkhani, M Eftekhari Information Sciences 278, 715-735, 2014	53	2014
Decoding clinical biomarker space of covid-19: exploring matrix factorization-based feature selection methods F Saberi-Movahed, M Mohammadifard, A Mehrpooya, M Rezaei-Ravari, ... Computers in biology and medicine 146, 105426, 2022	45	2022
Evaluating the strength of intact rocks through genetic programming M Asadi, M Eftekhari, MH Bagheripour Applied Soft Computing 11 (2), 1932-1937, 2011	39	2011
CCFS: A cooperating coevolution technique for large scale feature selection on microarray datasets MK Ebrahimpour, H Nezamabadi-Pour, M Eftekhari Computational biology and chemistry 73, 171-178, 2018	38	2018
Hesitant fuzzy decision tree approach for highly imbalanced data classification S Sardari, M Eftekhari, F Afsari Applied Soft Computing 61, 727-741, 2017	38	2017
Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers M Rezaei-Ravari, M Eftekhari, F Saberi-Movahed Engineering Applications of Artificial Intelligence 97 (1), 104062, 2020	32	2020
Rough set based feature selection: a review JR Anaraki, M Eftekhari The 5th Conference on Information and Knowledge Technology, 301-306, 2013	32	2013
Comparison of different t-norm operators in classification problems F Farahbod, M Eftekhari arXiv preprint arXiv:1208.1955, 2012	31	2012
Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation M Mokhtia, M Eftekhari, F Saberi-Movahed Applied Soft Computing 91, 106255, 2020	30	2020
A multimodal emotion recognition system using facial landmark analysis F Rahdari, E Rashedi, M Eftekhari Iranian Journal of Science and Technology, Transactions of Electrical …, 2019	27	2019
Improving fuzzy-rough quick reduct for feature selection JR Anaraki, M Eftekhari 2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011	26	2011
Omni-ensemble learning (OEL): utilizing over-bagging, static and dynamic ensemble selection approaches for software defect prediction R Mousavi, M Eftekhari, F Rahdari International Journal on Artificial Intelligence Tools 27 (06), 1850024, 2018	25	2018
Development of optimal fuzzy models for predicting the strength of intact rocks M Asadi, MH Bagheripour, M Eftekhari Computers & Geosciences 54, 107-112, 2013	25	2013
A CO₂-Oil Minimum Miscibility Pressure Model Based on Multi-Gene Genetic Programming M Rezaei, M Eftekhari, M Schaffie, M Ranjbar Energy exploration & exploitation 31 (4), 607-622, 2013	24	2013

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