CV Lattes
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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 is bachelor (2008) and Master in Computer Science from Londrina State University - UEL (2011). He is also a PhD in Computer Science, title obtained at Institute of Mathematics and Computer Sciences of the University of São Paulo (ICMC/USP). He was a Phd research visitor during an year (2015-2016) at the Eindhoven University of Technology (Tu/e), in Netherlands. He has experience in Computer Science, acting on the following subjects: machine learning, meta-learning and automated machine learning tools. Currently, he is an Adjunct Professor at Federal Technology University of Paraná (UTFPR), campus Apucarana. (Source: Lattes Curriculum)
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Currently, a major task in Machine Learning (ML) that has been used is the classification of data, a task that involves assigning a default unknown class of several known ones. In ML, the pattern classification is an instance of supervised learning and can be modeled by a range of algorithms such as Artificial Neural Networks (ANN), Support Vector Machines (SMV), Decision Trees (DT), Deep…
Machine learning approaches have been widely effective solving many simple and well de- fined problems in the literature. However, most approaches face difficulties when dealing with more complicated real-world problems, often due to high data dimensionality. One of the first applications of Deep Learning models was with data dimensionality reduction. These learning models have attracted …
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