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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.pyDML: A Python Library for Distance Metric Learning., , and . J. Mach. Learn. Res., (2020)Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations., , , , , and . Cogn. Comput., 12 (5): 897-939 (2020)A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability., , , and . Soft Comput., 13 (10): 959-977 (2009)SOUL: Scala Oversampling and Undersampling Library for imbalance classification., , , , and . SoftwareX, (2021)Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection., , , and . Inf. Sci., 186 (1): 73-92 (2012)BELIEF: A distance-based redundancy-proof feature selection method for Big Data., , , , and . Inf. Sci., (2021)CommuniMents: A Framework for Detecting Community Based Sentiments for Events., , , , , , , , , and . Int. J. Semantic Web Inf. Syst., 13 (2): 87-108 (2017)SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification., , and . IEEE Trans. Cybern., 45 (4): 622-634 (2015)Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization., , and . CoRR, (2022)