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A social-spider optimization approach for support vector machines parameters tuning., , , and . SIS, page 8-13. IEEE, (2014)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)On the Learning of Deep Local Features for Robust Face Spoofing Detection., , and . SIBGRAPI, page 258-265. IEEE Computer Society, (2018)Harmony search applied for support vector machines training optimization., , and . EUROCON, page 998-1002. IEEE, (2013)Unsupervised land-cover classification through hyper-heuristic-based Harmony Search., , , and . IGARSS, page 69-72. IEEE, (2015)SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers., , , and . ICMLA, page 133-137. IEEE, (2015)Deep Boltzmann machines for robust fingerprint spoofing attack detection., , , , and . IJCNN, page 1863-1870. IEEE, (2017)Temperature-Based Deep Boltzmann Machines., and . Neural Processing Letters, 48 (1): 95-107 (2018)Improving land cover classification through contextual-based optimum-path forest., , , , , , , and . Inf. Sci., (2015)A Deep Boltzmann Machine-Based Approach for Robust Image Denoising., , , , , and . CIARP, volume 10657 of Lecture Notes in Computer Science, page 525-533. Springer, (2017)