FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Universidad de Camagüey
Camagüey, CubaPublicaciones en colaboración con investigadores/as de Universidad de Camagüey (6)
2016
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Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm
Engineering Applications of Artificial Intelligence, Vol. 48, pp. 134-139
2015
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IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification
IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 5, pp. 1622-1637
2014
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Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection
Applied Soft Computing Journal, Vol. 22, pp. 511-517
2012
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Improving SMOTE with fuzzy rough prototype selection to detect noise in imbalanced classification data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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SMOTE-FRST: A new resampling method using fuzzy rough set theory
World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
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SMOTE-RSB*: A hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
Knowledge and Information Systems, Vol. 33, Núm. 2, pp. 245-265