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Ministério da Defesa (Brasil). Instituto Tecnológico de Aeronáutica (ITA). Divisão de Ciência da Computação (IEC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Engenharia Mecânica from Universidade Federal de Itajubá (2017), master's at Mechanical Engineering from Universidade Federal de Itajubá (2020) and doctorate at Mechanical Engineering from Universidade Federal de Itajubá (2022). He is currently full professor at Universidade Federal de Itajubá. Has experience in Mathematics, acting on the following subjects: otimização estrutural, projeto, algoritmos heurísticos and análise numérica. (Source: Lattes Curriculum)
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Whenever a new supervised Machine Learning (ML) algorithm or solu- tion is developed, it is imperative to evaluate the predictive performance it attains for diverse datasets. This is done in order to stress out the strengths and weak- nesses of the algorithms and evidence for which situations they are most useful. A common practice is to gather some datasets from public benchmark reposito…
Artificial Intelligence revolutionized several areas of human knowledge and became very popular in the last decade. Supervised Machine Learning (ML) algorithms are the main protagonists in this revolution and whenever a new supervised ML algorithm is developed or presented, it is crucial to assess its predictive performance across diverse datasets to identify its strengths and weaknesses …
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