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A Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features.

, , and . ICCSE, page 85-91. IEEE, (2019)

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Face recognition using fractal codes., , and . ICIP (3), page 58-61. IEEE, (2001)An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks., , , , and . ISNN (1), volume 11554 of Lecture Notes in Computer Science, page 309-317. Springer, (2019)Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms., and . Evol. Intell., 10 (1-2): 45-75 (2017)A novel binary many-objective feature selection algorithm for multi-label data classification., , and . Int. J. Mach. Learn. Cybern., 12 (7): 2041-2057 (2021)Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection., , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 553-564. Springer, (2019)A Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features., , and . ICCSE, page 85-91. IEEE, (2019)Robustness to expression variations in fractal-based face recognition., , and . ISSPA, page 359-362. IEEE, (2001)Imputing missing value through ensemble concept based on statistical measures., , , , , and . Knowl. Inf. Syst., 56 (1): 123-139 (2018)Dynamic protein-protein interaction networks construction using firefly algorithm., , and . Pattern Anal. Appl., 21 (4): 1067-1081 (2018)A Novel Multi-objective Binary Differential Evolution Algorithm for Multi-label Feature Selection., , and . CEC, page 1588-1595. IEEE, (2019)