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Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm.

, , , , , , and . Eng. Appl. Artif. Intell., (2016)

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La Teoría de los Conjuntos Aproximados y las técnicas de Boostrap para la Edición de Conjuntos de Entrenamiento. Su aplicación en el pronóstico metereológico., , and . Rev. Avances en Sistemas Informática, 4 (3): 165-170 (2007)A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges., and . MICAI (1), volume 10632 of Lecture Notes in Computer Science, page 208-220. Springer, (2017)A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality., , , , , and . SYNASC, page 133-140. IEEE Computer Society, (2006)Two New Metrics for Feature Selection in Pattern Recognition., , , , , and . CIARP, volume 2905 of Lecture Notes in Computer Science, page 488-497. Springer, (2003)Applications of Computational Intelligence in the Studies of Covid-19., , , , and . Computational Intelligence Methodologies Applied to Sustainable Development Goals, volume 1036 of Studies in Computational Intelligence, Springer, (2022)A model based on ant colony system and rough set theory to feature selection., , , , and . GECCO, page 275-276. ACM, (2005)IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification., , , , , , and . IEEE Trans. Fuzzy Syst., 23 (5): 1622-1637 (2015)Using rough sets to edit training set in k-NN method., , , , , and . ISDA, page 456-463. IEEE Computer Society, (2005)Feature Selection Algorithms Using Rough Set Theory., , , and . ISDA, page 407-411. IEEE Computer Society, (2007)SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory., , , and . Knowl. Inf. Syst., 33 (2): 245-265 (2012)