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Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.

, , , , , , , , and . Artif. Intell. Medicine, (2019)

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Comparison of algorithms that detect drug side effects using electronic healthcare databases., , , , , and . CoRR, (2014)A quantifier-based fuzzy classification system for breast cancer patients., , , , , , , and . Artif. Intell. Medicine, 58 (3): 175-184 (2013)A Comparison of Three Different Methods for Classification of Breast Cancer Data., , , and . ICMLA, page 619-624. IEEE Computer Society, (2008)An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA., , , , , , , , , and . IEEE Trans. Medical Imaging, 38 (2): 617-628 (2019)Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures., , , and . FUZZ-IEEE, page 1-7. IEEE, (2019)Comparison of algorithms that detect drug side effects using electronic healthcare databases., , , , , and . Soft Comput., 17 (12): 2381-2397 (2013)A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means., , , and . Central Eur. J. Oper. Res., 22 (3): 475-499 (2014)Attributes for Causal Inference in Longitudinal Observational Databases., , , , , and . CoRR, (2014)Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs., , , , , and . CoRR, (2014)A 'non-parametric' version of the naive Bayes classifier., , , , and . Knowl. Based Syst., 24 (6): 775-784 (2011)