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Artigo de evento A study of a firefly meta-heuristics for multithreshold image segmentation(2014-10-14) ERDMANN, H.; LOPES, L. A.; Guilherme Lopes; RIBEIRO, M. P.; Paulo Rodrigues© 2014 Taylor & Francis Group, London.Thresholding-based image segmentation algorithms are usually developed for a specific set of images because the objective of these algorithms is strongly related to their applications. The binarization of the image is generally preferred over multi-segmentation, mainly because it’s simple and easy to implement. However, in this paper we demonstrate that a scene separation with three threshold levels can be more effective and closer to a manually performed segmentation. Also, we show that similar results can be achieved through a firefly-based meta-heuristic. Finally, we suggest a similarity measure that can be used for the comparison between the distances of the automatic and manual segmentation.Artigo de evento Automatic source code correction system focused on teacher's usability(2019-03-12) BELTRAME, F. S.; MAIA, R. F.; Guilherme LopesCopyright © 2019 by the International Institute ofInformatics and Systemics.In the Computing area many workout correction systems are used for automatic correction of source codes. However, one of the main impediments to the use of these tools is the inefficiency of the interface for the elaboration and use of the teacher in their discipline. In this project, we propose an automatic correction system for source codes so that the teacher can elaborate his own corrector in a practical manner. This corrector is used as a comparison guideline for submitted exercises.