Has a Bachelor's Degree in Computer Science from the Federal University of São Carlos (UFSCar). Had a scholarshop from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), conducting research on the machine learning field. Also with a FAPESP sccholarship, developed a research project at the University of East Anglia, in Norwich, England. Currently, works as a software security analyst at SiDi Campinas. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Machine Learning (ML) has been widely used to transform data into knowledge and, thus, assist decision making.Due to the vast diversity of uses of ML, there is not a single algorithm that is the most effective in all applicationdomains. Therefore, model combination techniques (ensemble) are a widely used option in this scenario. Anexample of this approach is the recent NN-Stacking regress…
The efficient processing to discover knowledge from the increasing volume of information is one of the biggest challenges related to Computer Science nowadays in both industry and academia. In addition to being time- and memory-efficient, this processing shall present reliability regarding the discovered knowledge, since strategical decisions in a company and conclusion of scientific rese…
Processing growing quantities of information to transform it into knowledge is one of the biggest challenges in the Computer Science related areas nowadays, for both the industry and the academy. For this reason, we may find a plethora of Machine Learning (ML) techniques and platforms. While it is possible to note that these tools cover a large range of application domains and data types,…
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 3 / 3 | All Scholarships |
| Associated processes | |
CV Lattes
ORCID