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Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection.

, , , and . Inf. Sci., 186 (1): 73-92 (2012)

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Intuitionistic Fuzzy Relational Images., , and . Computational Intelligence for Modelling and Prediction, volume 2 of Studies in Computational Intelligence, Springer, (2005)Enhanced Recommendations through Propagation of Trust and Distrust., , and . IAT Workshops, page 263-266. IEEE Computer Society, (2006)Fuzzy Covering based Rough Sets Revisited., , and . IFSA-EUSFLAT, Atlantis Press, (2015)Multiple Instance Learning - Foundations and Algorithms, , , , , , and . Springer, (2016)Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection., , , and . Appl. Soft Comput., (2014)Inclusion-Based Approximate Reasoning., and . International Conference on Computational Science (2), volume 2074 of Lecture Notes in Computer Science, page 221-230. Springer, (2001)Fuzzy rough sets for self-labelling: An exploratory analysis., , , and . FUZZ-IEEE, page 931-938. IEEE, (2016)Hybrid fuzzy-rough rule induction and feature selection., , and . FUZZ-IEEE, page 1151-1156. IEEE, (2009)Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data., , , and . IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 169-178. Springer, (2012)SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation., , , , , and . TSD, volume 7499 of Lecture Notes in Computer Science, page 248-255. Springer, (2012)