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Addressing remitting behavior using an ordinal classification approach., , and . Expert Syst. Appl., 41 (10): 4752-4761 (2014)Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data., , , , , and . HIS, page 625-630. IEEE Computer Society, (2008)A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems., , , and . Inf. Sci., (2012)Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers., , , and . Neural Processing Letters, 34 (2): 101-116 (2011)Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification., , , , and . Neurocomputing, 75 (1): 123-134 (2012)Exploitation of Pairwise Class Distances for Ordinal Classification., , , and . Neural Computation, 25 (9): 2450-2485 (2013)Learning Kernel Label Decompositions for Ordinal Classification Problems., , and . IJCCI (NCTA), page 218-225. SciTePress, (2014)Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment., , , and . ESANN, (2013)Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns., , , , , and . ISDA, page 1265-1270. IEEE, (2011)Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers., , , , , , and . ISDA, page 513-518. IEEE, (2010)