A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms - researchr publication authors

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Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera. A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. In Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós, editors, Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I. Volume 6691 of Lecture Notes in Computer Science, pages 174-182, Springer, 2011. [doi]

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