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Techniques of Engineering Applied to a Non-structured Data Model.

, , , , and . DCAI, volume 50 of Advances in Soft Computing, page 410-414. Springer, (2008)

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A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design., , , and . DCAI, volume 50 of Advances in Soft Computing, page 663-671. Springer, (2008)Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets., , , and . IFSA/EUSFLAT Conf., page 42-47. (2009)Improvement of subgroup descriptions in noisy data by detecting exceptions., , , and . Progress in AI, 7 (1): 55-64 (2018)Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization., , , and . CoRR, (2018)A Showcase of the Use of Autoencoders in Feature Learning Applications., , , and . IWINAC (2), volume 11487 of Lecture Notes in Computer Science, page 412-421. Springer, (2019)Automating Autoencoder Architecture Configuration: An Evolutionary Approach., , , and . IWINAC (1), volume 11486 of Lecture Notes in Computer Science, page 339-349. Springer, (2019)Multilabel Classification - Problem Analysis, Metrics and Techniques, , , and . Springer, (2016)CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design., , , and . IWANN (1), volume 9094 of Lecture Notes in Computer Science, page 361-373. Springer, (2015)A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets., , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 375-382. Springer, (2007)CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm., , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 324-332. Springer, (2007)