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A GPU-based accelerated ELM and deep-ELM training algorithms for traditional and deep neural networks classifiers., , and . Intell. Syst. Appl., (2022)Unsupervised Feature Selection Based on Spectral Clustering with Maximum Relevancy and Minimum Redundancy Approach., and . Int. J. Pattern Recognit. Artif. Intell., 35 (11): 2150031:1-2150031:22 (2021)Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers., , and . Eng. Appl. Artif. Intell., (2021)Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation., , and . Appl. Soft Comput., (2020)CCFS: A cooperating coevolution technique for large scale feature selection on microarray datasets., , and . Comput. Biol. Chem., (2018)Interpretability-based fuzzy decision tree classifier a hybrid of the subtractive clustering and the multi-objective evolutionary algorithm., , , and . Soft Comput., 17 (9): 1673-1686 (2013)Supervised feature selection by constituting a basis for the original space of features and matrix factorization., , and . Int. J. Mach. Learn. Cybern., 11 (7): 1405-1421 (2020)DINO-CXR: A Self Supervised Method Based on Vision Transformer for Chest X-Ray Classification., , and . ISVC (2), volume 14362 of Lecture Notes in Computer Science, page 320-331. Springer, (2023)A Definition for Hesitant fuzzy Partitions., , , and . Int. J. Comput. Intell. Syst., 9 (3): 497-505 (2016)Comparison of different T-norm operators in classification problems, and . CoRR, (2012)