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Instance selection for multi-label learning based on a scalable evolutionary algorithm.

, , and . ICDM (Workshops), page 843-851. IEEE, (2021)

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Node Level Crossover Applied to Neural Network Evolution., , , and . IWANN (1), volume 2686 of Lecture Notes in Computer Science, page 518-525. Springer, (2003)Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms., , and . PPSN, volume 2439 of Lecture Notes in Computer Science, page 153-161. Springer, (2002)Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks., , , and . IWANN (1), volume 2084 of Lecture Notes in Computer Science, page 645-652. Springer, (2001)Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms., , , and . CAEPIA, volume 3040 of Lecture Notes in Computer Science, page 177-186. Springer, (2003)Boosting random subspace method, and . Neural Networks, 21 (9): 1344-1362 (2008)Crossover Operator Effect in Function Optimization with Constraints., , and . PPSN, volume 2439 of Lecture Notes in Computer Science, page 184-193. Springer, (2002)Analyzing the statistical features of CIXL2 crossover offspring., and . Soft Comput., 9 (4): 270-279 (2005)Instance selection for multi-label learning based on a scalable evolutionary algorithm., , and . ICDM (Workshops), page 843-851. IEEE, (2021)A cooperative constructive method for neural networks for pattern recognition., and . Pattern Recognit., 40 (1): 80-98 (2007)Cooperative coevolution of artificial neural network ensembles for pattern classification., , and . IEEE Trans. Evol. Comput., 9 (3): 271-302 (2005)