CV Lattes
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Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC) (Institutional affiliation for the last research proposal) Birthplace: Brazil
graduation at Sistemas de Informação from Universidade Federal de Mato Grosso do Sul (2014), master's at Computer Science from Universidade de São Paulo (2017) and doctorate at Computer Science from Universidade de São Paulo (2021). Has experience in Computer Science, acting on the following subjects: robótica, texture analysis, extração de características, deterministic tourist walk and scene recognition. (Source: Lattes Curriculum)
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Great efforts have been made by researchers from different areas to develop sensors and biosensors for various purposes such as early cancer diagnosis, detection of contamination in food/water, etc. In this sense, many researchers have focused on the development of new low-cost detection and diagnosis strategies. Particularly, promising results have been achieved using machine learning te…
Complex networks have been used as a study tool and contributed in several areas of science due to their interdisciplinary nature and conceptual simplicity. In computer science, networks have been used in problems of architecture, artificial intelligence, computer networks and computer vision. With regard to computational vision, several approaches have been proposed over the past decade …
Complex network is being increasingly used due to its flexibility and ability to represent and analyze any discrete system and many types of data. In this sense, pattern recognition and complex networks emerge as an important alternative in data science.Pattern recognition in networks aims the feature extraction to classify large-scale networks into several classes, instead of focusing o…
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