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Evolutionary Ordinal Extreme Learning Machine.

, , and . HAIS, volume 8073 of Lecture Notes in Computer Science, page 500-509. Springer, (2013)

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Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification., , , , and . Neurocomputing, 75 (1): 123-134 (2012)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)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)Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology., , , , and . HAIS (2), volume 7209 of Lecture Notes in Computer Science, page 308-318. Springer, (2012)Ordinal regression neural networks based on concentric hyperspheres., , and . Neural Networks, (2014)Evolutionary Ordinal Extreme Learning Machine., , and . HAIS, volume 8073 of Lecture Notes in Computer Science, page 500-509. Springer, (2013)Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment., , , and . ESANN, (2013)Monotonic classification: an overview on algorithms, performance measures and data sets., , , , and . CoRR, (2018)Ordinal classification of depression spatial hot-spots of prevalence., , , , , and . ISDA, page 1170-1175. IEEE, (2011)Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns., , , , , and . ISDA, page 1265-1270. IEEE, (2011)