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Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.

, , , and . WIREs Data Mining Knowl. Discov., 4 (2): 87-103 (2014)

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On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance., , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 500-511. Springer, (2016)Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm., , and . HAIS, volume 5271 of Lecture Notes in Computer Science, page 140-147. Springer, (2008)Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems., , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)On the Impact of Imbalanced Data in Convolutional Neural Networks Performance., , , and . HAIS, volume 10334 of Lecture Notes in Computer Science, page 220-232. Springer, (2017)Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System., , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 294-301. Springer, (2009)LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification., , , and . IEEE Trans. Neural Networks Learn. Syst., 25 (10): 1842-1854 (2014)Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD., , , and . Int. J. Comput. Intell. Syst., 5 (2): 355-367 (2012)Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas., , , and . Inteligencia Artif., 2 (5): 56-61 (1998)MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology., , , , and . Knowl. Based Syst., (2013)A Showcase of the Use of Autoencoders in Feature Learning Applications., , , and . CoRR, (2020)