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Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation., , , and . Progress in AI, 6 (1): 59-66 (2017)Heuristic Extraction of Rules in Pruned Artificial Neural Networks Models Used for Quantifying Highly Overlapping Chromatographic Peaks., , , and . Journal of Chemical Information and Modeling, 44 (5): 1576-1584 (2004)Distribution of the search of evolutionary product unit neural networks for classification, , and . CoRR, (2012)Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks., , , and . IWANN (1), volume 2084 of Lecture Notes in Computer Science, page 645-652. Springer, (2001)Evolutionary Product-Unit Neural Networks for Classification., , , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 1320-1328. Springer, (2006)Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification., , , , , and . HAIS (2), volume 6077 of Lecture Notes in Computer Science, page 288-295. Springer, (2010)An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series., , , and . CAEPIA, volume 11160 of Lecture Notes in Computer Science, page 209-218. Springer, (2018)Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models., , , and . CAEPIA, volume 9422 of Lecture Notes in Computer Science, page 301-311. Springer, (2015)A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems., , , and . Inf. Sci., (2012)Addressing remitting behavior using an ordinal classification approach., , and . Expert Syst. Appl., 41 (10): 4752-4761 (2014)