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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
BSc in Computer Science from Federal University of São Carlos (2022). Former Artificial Intelligence Researcher at Samsung R&D Institute Brazil. Currently pursuing a PhD in Computer Science and Computational Mathematics at the Institute of Mathematics and Computer Science of the University of São Paulo (ICMC-USP). (Source: Lattes Curriculum)
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Monitoring physiological signs, vital signs, and other parameters that can be collected over time is essential in several tasks in Health, such as estimating heart rate and identifying abnormal heartbeats. However, obtaining annotated data, especially in the Health domain, can be costly. However, in some cases, obtaining labels for part of the data is possible. This scenario configures se…
Applications that collect large volumes of temporal data using sensors have emerged in different knowledge domains. One way to obtain knowledge about the data in time series context is by learning classification models. A particular case in this context occurs when data from only one class of the problem can be obtained or, because of specific interest in this class, this is the only one …
With the development of mobile sensors, applications that collect large volumes of temporal data have emerged in different knowledge domains. In many of these applications, using algorithms to find frequent and anomalous patterns is an alternative to discover knowledge from data. In the case of high-dimensional temporal data, the literature indicates that similarity measures more suitable…
| 3 / 3 | Completed scholarships in Brazil |
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