CV Lattes
Universidade Estadual de Campinas (UNICAMP). Faculdade de Tecnologia (FT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in Systems Analysis and Development from the University of Campinas (UNICAMP-2014) with an internship at the University of Salamanca (Spain-2012). Master in Information and Communication Systems from the Faculty of Technology-UNICAMP on using texture descriptors (GLCM and Wavelets) in PDI models. PhD from the same university with an exchange at the University of Calgary (Canada) on the prediction and inference of Alzheimer's Disease using machine learning models and image ranking. Postdoctoral fellow at the University of Calgary (Canada) on the use of Autoencoders to predict ischemic stroke 90 days before its occurrence. His main interests are image processing and machine learning models to help interdisciplinary areas, such as medicine. For the researcher, interdisciplinarity is the key to great discoveries in the scientific world. (Source: Lattes Curriculum)
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Image segmentation is an important task in many areas of image processing, computer vision, and pattern recognition. Subdivide an image into its constituent parts may, oftentimes, be dependent on the context where the segmentation is applied. There are many techniques of image segmentation, being the use of graphs as structures to represent images quite common. Thus, the study of graph cu…
| 1 / 1 | Completed scholarships in Brazil |
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