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On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings.

, , , , , and . Artificial Intelligence in Medicine, (2016)

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Shear strength prediction using dimensional analysis and functional networks., , , and . ESANN, page 251-256. (2004)Feature Selection for High-Dimensional Data, , and . Artificial Intelligence: Foundations, Theory, and Algorithms Springer, (2015)Reducing dimensionality in a database of sleep EEG arousals., , , and . Expert Syst. Appl., 38 (6): 7746-7754 (2011)Toward the scalability of neural networks through feature selection., , , , and . Expert Syst. Appl., 40 (8): 2807-2816 (2013)A review of feature selection methods on synthetic data., , and . Knowl. Inf. Syst., 34 (3): 483-519 (2013)Data classification using an ensemble of filters., , and . Neurocomputing, (2014)Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition., , , and . Neural Computation, 19 (1): 231-257 (2007)Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test., , , , , , , and . ICTAI, page 359-366. IEEE Computer Society, (2012)Multiclass classifiers vs multiple binary classifiers using filters for feature selection., , , and . IJCNN, page 1-8. IEEE, (2010)Statistical dependence measure for feature selection in microarray datasets., , , , and . ESANN, (2011)