Participates in research projects focused on the large area of Artificial Intelligence, working mainly on the themes: deep learning and metaheuristic optimization, applied to regression and classification problems in different data domains. Graduated in Production Engineering with emphasis on materials, from São Paulo State University (UNESP), with research focused on classification of biological images using machine learning. Master in Computer Science from São Paulo State University (UNESP), focusing on supervised and unsupervised learning, using in-depth Boltzmann networks in the image and video domains. PhD in Computer Science from São Paulo State University (UNESP), with the development of a multimodal methodology using convolutional Boltzmann machines, for the classification of stroke from computed tomography images. (Source: Lattes Curriculum)
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This research project takes into account the problem of event recognition in videos, which covers various domains such as monitoring and security, medicine, high-performance industry, and smart houses. Usually, some of these domains are treated with machine learning techniques, highlighting the use of deep learning, capable of generating enough accurate answers from a large set of labeled…
Machine Learning Techniques (ML) have been widely used in the most diverse areas of knowledge for the induction of descriptive and predictive models. Many of these techniques have achieved great success when applied to specific tasks, such as the problem of sorting wood quality through images. This problem has been studied by the proponent of this project. Despite the satisfactory results…
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| 4 / 4 | Completed scholarships in Brazil |
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