Mahdi Eftekhari
Orcid: 0000-0002-0381-8225
According to our database1,
Mahdi Eftekhari
authored at least 51 papers
between 2012 and 2023.
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Bibliography
2023
A novel framework based on the multi-label classification for dynamic selection of classifiers.
Int. J. Mach. Learn. Cybern., June, 2023
Neurocomputing, 2023
Image-Text Connection: Exploring the Expansion of the Diversity Within Joint Feature Space Similarity Scores.
IEEE Access, 2023
DINO-CXR: A Self Supervised Method Based on Vision Transformer for Chest X-Ray Classification.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023
2022
Studies in Fuzziness and Soft Computing 416, Springer, ISBN: 978-3-030-94065-2, 2022
Prediction of the degree of steel corrosion damage in reinforced concrete using field-based data by multi-gene genetic programming approach.
Soft Comput., 2022
A GPU-based accelerated ELM and deep-ELM training algorithms for traditional and deep neural networks classifiers.
Intell. Syst. Appl., 2022
CoRR, 2022
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.
Comput. Biol. Medicine, 2022
Briefings Bioinform., 2022
2021
DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering.
Int. J. Mach. Learn. Cybern., 2021
Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation.
Knowl. Based Syst., 2021
Unsupervised Feature Selection Based on Spectral Clustering with Maximum Relevancy and Minimum Redundancy Approach.
Int. J. Pattern Recognit. Artif. Intell., 2021
Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers.
Eng. Appl. Artif. Intell., 2021
Multi-Layer Selector(MLS): Dynamic selection based on filtering some competence measures.
Appl. Soft Comput., 2021
2020
Dynamic ensemble selection based on hesitant fuzzy multiple criteria decision making.
Soft Comput., 2020
Supervised feature selection by constituting a basis for the original space of features and matrix factorization.
Int. J. Mach. Learn. Cybern., 2020
Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation.
Appl. Soft Comput., 2020
2019
EEFR-R: extracting effective fuzzy rules for regression problems, through the cooperation of association rule mining concepts and evolutionary algorithms.
Soft Comput., 2019
CoRR, 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation.
CoRR, 2019
2018
Omni-Ensemble Learning (OEL): Utilizing Over-Bagging, Static and Dynamic Ensemble Selection Approaches for Software Defect Prediction.
Int. J. Artif. Intell. Tools, 2018
CoRR, 2018
CCFS: A cooperating coevolution technique for large scale feature selection on microarray datasets.
Comput. Biol. Chem., 2018
2017
Occam's razor in dimension reduction: Using reduced row Echelon form for finding linear independent features in high dimensional microarray datasets.
Eng. Appl. Artif. Intell., 2017
Appl. Soft Comput., 2017
Appl. Soft Comput., 2017
2016
Unsupervised feature selection method based on sensitivity and correlation concepts for multiclass problems.
J. Intell. Fuzzy Syst., 2016
Controller design for multivariable nonlinear control systems based on gradient-based ant colony optimisation.
Int. J. Model. Identif. Control., 2016
A two-level multi-gene genetic programming model for speech quality prediction in Voice over Internet Protocol systems.
Comput. Electr. Eng., 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Neuro-fuzzy adaptive control of a revolute stewart platform carrying payloads of unknown inertia.
Robotica, 2015
J. Intell. Fuzzy Syst., 2015
A new approach to human microRNA target prediction using ensemble pruning and rotation forest.
J. Bioinform. Comput. Biol., 2015
Combining classifiers generated by multi-gene genetic programming for protein fold recognition using genetic algorithm.
Int. J. Bioinform. Res. Appl., 2015
IEICE Trans. Inf. Syst., 2015
A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches.
Appl. Soft Comput., 2015
2014
Generating fuzzy rule base classifier for highly imbalanced datasets using a hybrid of evolutionary algorithms and subtractive clustering.
J. Intell. Fuzzy Syst., 2014
Fuzzy partitioning of continuous attributes through discretization methods to construct fuzzy decision tree classifiers.
Inf. Sci., 2014
Comparing ensemble learning methods based on decision tree classifiers for protein fold recognition.
Int. J. Data Min. Bioinform., 2014
2013
Using a self-adaptive neighborhood scheme with crowding replacement memory in genetic algorithm for multimodal optimization.
Swarm Evol. Comput., 2013
Interpretability-based fuzzy decision tree classifier a hybrid of the subtractive clustering and the multi-objective evolutionary algorithm.
Soft Comput., 2013
2012