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Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines., , , and . Inf. Fusion, (2020)Web usage mining to improve the design of an e-commerce website: OrOliveSur.com., , , , , and . Expert Syst. Appl., 39 (12): 11243-11249 (2012)A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams., , , and . Expert Syst. Appl., (2021)Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges., , , and . Knowl. Based Syst., (2015)Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization., , , and . CoRR, (2018)Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations., , , and . ICPRAM (2), page 98-107. SciTePress, (2012)Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks., , , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, page 331-338. Springer, (2013)NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery., , , and . IEEE Trans. Fuzzy Syst., 18 (5): 958-970 (2010)Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods., , and . Int. J. Intell. Syst., 13 (10-11): 1025-1053 (1998)Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD., , , and . GEFS, page 17-23. IEEE, (2011)