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Mahdi Eftekhari
Mahdi Eftekhari
Full Professor of Computer Engineering, Department of Computer Engineering, Shahid Bahonar
Verified email at uk.ac.ir - Homepage
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
832017
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
642008
Eliciting transparent fuzzy model using differential evolution
M Eftekhari, SD Katebi, M Karimi, AH Jahanmiri
Applied soft computing 8 (1), 466-476, 2008
622008
A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches
R Mousavi, M Eftekhari
Applied Soft Computing 37, 652-666, 2015
572015
Feature selection using multimodal optimization techniques
S Kamyab, M Eftekhari
Neurocomputing 171, 586-597, 2016
512016
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
492014
Fuzzy partitioning of continuous attributes through discretization methods to construct fuzzy decision tree classifiers
M Zeinalkhani, M Eftekhari
Information Sciences 278, 715-735, 2014
492014
Evaluating the strength of intact rocks through genetic programming
M Asadi, M Eftekhari, MH Bagheripour
Applied Soft Computing 11 (2), 1932-1937, 2011
382011
Hesitant fuzzy decision tree approach for highly imbalanced data classification
S Sardari, M Eftekhari, F Afsari
Applied Soft Computing 61, 727-741, 2017
352017
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
332022
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
332018
Rough set based feature selection: a review
JR Anaraki, M Eftekhari
The 5th Conference on Information and Knowledge Technology, 301-306, 2013
302013
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
272020
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
272020
Improving fuzzy-rough quick reduct for feature selection
JR Anaraki, M Eftekhari
2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011
272011
Comparison of different t-norm operators in classification problems
F Farahbod, M Eftekhari
arXiv preprint arXiv:1208.1955, 2012
242012
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
232019
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
232013
Development of optimal fuzzy models for predicting the strength of intact rocks
M Asadi, MH Bagheripour, M Eftekhari
Computers & Geosciences 54, 107-112, 2013
232013
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
212018
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