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Learning concept drift with ensembles of optimum-path forest-based classifiers., , and . Future Generation Comp. Syst., (2019)Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning., , , and . Handbook of Pattern Recognition and Computer Vision, World Scientific, (2016)Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest., , , , , and . IEEE Trans. Geoscience and Remote Sensing, 52 (10): 6075-6085 (2014)SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers., , , and . ICMLA, page 133-137. IEEE, (2015)Unsupervised land-cover classification through hyper-heuristic-based Harmony Search., , , and . IGARSS, page 69-72. IEEE, (2015)Harmony search applied for support vector machines training optimization., , and . EUROCON, page 998-1002. IEEE, (2013)Satellite-Based Rainfall Estimation through Semi-supervised Learning., , and . CSIE (6), page 1-5. IEEE Computer Society, (2009)Feature selection through gravitational search algorithm., , , , , , , and . ICASSP, page 2052-2055. IEEE, (2011)Seam Carving Detection Using Convolutional Neural Networks., , and . SACI, page 195-200. IEEE, (2018)On the Learning of Deep Local Features for Robust Face Spoofing Detection., , and . SIBGRAPI, page 258-265. IEEE Computer Society, (2018)