Master's student in Artificial Intelligence - Machine Learning and Data Mining at the Graduate Program in Computer Science and Computational Mathematics (PPG-CCMC) at the University of São Paulo (USP). Bachelor's degree in Computer Science at the Institute of Mathematical and Computer Sciences of the University of São Paulo (ICMC-USP). FAPESP scholarship recipient in 2021 for a Scientific Initiation project in the field of data visualization, working at the Visualization, Image, and Computer Graphics Laboratory (VICG). FAPESP scholarship recipient in 2023 for a Scientific Initiation project in the area of machine learning and time series, working at the Computational Intelligence Laboratory (LABIC). Additionally, has participated in extension groups, such as Warthog Robotics, contributing to artificial intelligence development, and in the Codifikids project, through PET Computing, teaching basic programming to elementary school children. (Source: Lattes Curriculum)
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This research proposes developing and evaluating deep neural networks for analyzing time series in healthcare applications, focusing on data from real-world data repositories such as PhysioBank. Initially, experimental studies will be conducted to compare classification and extrinsic regression algorithms, identifying data standardization guidelines and assessing their advantages and limi…
The collection and analysis of large databases have become a task increasingly explored by the community from different areas. As interest has grown, tools for data collection have become more accessible and less complex. On the other hand, this leads to the generation of an increasing volume of data, creating challenges for identifying interest information. Sports analytics has shown sig…
The analysis of Acoustic Landscapes has aroused great interest in the scientific community as a resource to assist decision making related to monitoring and understanding environmental issues in diverse environments and landscapes. Analysis relies on capturing the environmental sounds, producing audio recordings that may be inspected to identify relevant acoustic events. This strategy red…
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