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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
He was a postdoctoral researcher at the University of São Paulo, Brazil (2021-2024). He obtained his PhD (2021) and MS (2012) degrees in computer science from the University of São Paulo, Brazil. He obtained a bachelor's degree in computer science (2020) by revalidation from the Federal University of São Carlos, Brazil. He has experience in computer science, with emphasis on: image analysis and processing, image segmentation, feature extraction, computer vision, data science, machine learning, deep learning, information visualization, and complex networks. (Source: Lattes Curriculum)
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This project focuses on Artificial Intelligence for enhanced outcomes in infectious diseases among kidney transplant recipients; it taps into rich datasets from Brazilian and Swiss kidney transplants to advance predictive modeling in transplantation medicine. Utilizing data from varied patient demographics and healthcare frameworks, the project aims to advance the prediction of infection …
Today the complexity of the unstructured nature of large datasets is known as the term Big Data and presents several challenges in tasks involving the prediction of new data. Specifically, Big Data in medical image classification presents the challenge that deals with the existence of a high number of unlabeled images compared to a reduced number of images labeled by specialists in the pr…
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