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Optimizing Optimum-Path Forest Classification for Huge Datasets., , and . ICPR, page 4162-4165. IEEE Computer Society, (2010)A genetic programming framework for content-based image retrieval., , , , , , and . Pattern Recognition, 42 (2): 283-292 (2009)Spoken emotion recognition through optimum-path forest classification using glottal features., , , and . Computer Speech & Language, 24 (3): 445-460 (2010)EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment., , , , and . Neurocomputing, (2014)Efficient supervised optimum-path forest classification for large datasets., , , and . Pattern Recognition, 45 (1): 512-520 (2012)Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification., , , , , , and . Artificial Intelligence in Medicine, (2018)Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images., , , , and . IEEE Trans. Biomed. Engineering, 60 (3): 803-812 (2013)Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques., , , , , and . IWCIA, volume 6636 of Lecture Notes in Computer Science, page 456-468. Springer, (2011)A Discrete Approach for Supervised Pattern Recognition., , , and . IWCIA, volume 4958 of Lecture Notes in Computer Science, page 136-147. Springer, (2008)On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification., , and . CIARP, volume 8827 of Lecture Notes in Computer Science, page 462-469. Springer, (2014)