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A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability., , , and . Soft Comput., 13 (10): 959-977 (2009)Effects of magnesium on growth and proliferation of human embryonic stem cells., , , and . EMBC, page 723-726. IEEE, (2012)An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons, and . Journal of Machine Learning Research, (2009)A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation), , and . (2018)cite arxiv:1812.05944Comment: 36 pages with appendices.An Intranet Solution for Geographically Dispersed Educational Centres: PINCEL-NET., , , , , and . HPCN Europe, volume 1401 of Lecture Notes in Computer Science, page 44-53. Springer, (1998)pyDML: A Python Library for Distance Metric Learning., , and . J. Mach. Learn. Res., (2020)BELIEF: A distance-based redundancy-proof feature selection method for Big Data., , , , and . Inf. Sci., (2021)Instance reduction for one-class classification., , , , and . Knowl. Inf. Syst., 59 (3): 601-628 (2019)SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification., , and . IEEE Trans. Cybern., 45 (4): 622-634 (2015)Smartdata: Data preprocessing to achieve smart data in R., , , , and . Neurocomputing, (2019)