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Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines., , , и . Inf. Fusion, (2020)A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams., , , и . Expert Syst. Appl., (2021)Web usage mining to improve the design of an e-commerce website: OrOliveSur.com., , , , , и . Expert Syst. Appl., 39 (12): 11243-11249 (2012)A Big Data Approach for the Extraction of Fuzzy Emerging Patterns., , , и . Cogn. Comput., 11 (3): 400-417 (2019)ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders., , , и . Inf. Sci., (2021)A proposal on reasoning methods in fuzzy rule-based classification systems., , и . Int. J. Approx. Reason., 20 (1): 21-45 (1999)Dealing with difficult minority labels in imbalanced mutilabel data sets., , , и . Neurocomputing, (2019)PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders., , , и . CoRR, (2023)Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets., , , и . Appl. Soft Comput., (2014)KEEL: a software tool to assess evolutionary algorithms for data mining problems., , , , , , , , , и 2 other автор(ы). Soft Comput., 13 (3): 307-318 (2009)