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Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation.

, , , , , , and . Knowl. Based Syst., (2017)

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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)Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification., , , and . SOCO, volume 531 of Lecture Notes in Networks and Systems, page 146-155. Springer, (2022)Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment., , , and . ESANN, (2013)Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification., , , , and . Neurocomputing, 75 (1): 123-134 (2012)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)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)