CV Lattes
Google Scholar Citations
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in Informatics from the University of São Paulo (2002), Master's degree in Computer Science from ICMC São Carlos at the University of São Paulo (2004) and PhD in Computer Science and Computational Mathematics from the University of São Paulo (2008). He is an Associate Professor at the Federal University of Mato Grosso do Sul. Coordinator and Founder of the Artificial Intelligence Laboratory (LIA) in 2009. He was a postgraduate coordinator in Computer Science between 2013 and 2016. Since 2001, his main research interest is Machine Learning. His experience includes research in clustering, supervised learning, semi-supervised, ROC analysis, probability calibration and deep learning. The main research topics are ranking, sentiment analysis, ROC analysis in Machine Learning, Deep Learning applied to remote sensing, agriculture and text analysis. (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) |
In Machine Learning, the supervised approach usually requires a large number of labeled training examples to learn accurately. However, labeling is often manually performed, making this process costly and time-consuming. By contrast, unlabeled examples are often inexpensive and easier to obtain than labeled examples. Semi-supervised learning, a relatively new area in Machine Learning, rep…
| 1 / 1 | Completed scholarships in Brazil |
| Associated processes | |