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Tackling the ordinal and imbalance nature of a melanoma image classification problem., , , , and . IJCNN, page 2156-2163. IEEE, (2016)Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness., , , and . Inf. Sci., (2013)A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees., , , and . HAIS (2), volume 7209 of Lecture Notes in Computer Science, page 25-35. Springer, (2012)Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification., , , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 131-142. Springer, (2018)Mathematical model for robust control of an irrigation main canal pool., , , and . Environ. Model. Softw., (2014)Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering., , , and . IDEAL, volume 8669 of Lecture Notes in Computer Science, page 61-68. Springer, (2014)Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study., , and . ISDA, page 1229-1234. IEEE, (2011)Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems., , , , , and . Knowl. Based Syst., (2015)Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets., , and . Pattern Recognit., (2016)A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems., , and . ISKE, page 153-158. IEEE, (2010)