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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation for the last research proposal) Birthplace: Brazil
graduation at Engenharia de Computação from Universidade de São Paulo (2010) and doctorate at Computer Science from Universidade de São Paulo (2016). Has experience in Computer Science (Source: Lattes Curriculum)
Data collected directly from storage systems often present high rate noise resulting from internal and external factors. When used in the induction of classifiers by machine learning techniques, these noisy data may reduce the predictive accuracy, increase the complexity of the hypothesis obtained and its induction time. This paper aims to investigate two research directions regarding thi…
The successful application of machine learning techniques to data sets from many areas requires the dedication of a considerable amount of time to identify and treat noisy data. Noisy data is a frequent problem regarding information collection, transmission and storage. The presence of noise in data can affect the complexity of classification tasks, making the discrimination of objects fr…
Many areas of knowledge have spent considerable amounts of time to comprehend and to treat noisy data, one of the most common problems regarding information collection, transmission and storage. In computer studies, it occurs mainly in real data collected from storage systems, appearing in high rates. These noisy data, when used in the classifiers induction by Machine Learning techniques,…
| 1 / 1 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 3 / 3 | All Scholarships |
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(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MORALES, PABLO; LUENGO, JULIAN; GARCIA, LUIS P. F.; LORENA, ANA C.; DE CARVALHO, ANDRE C. P. L. F.; HERRERA, FRANCISCO. The NoiseFiltersR Package: Label Noise Preprocessing in R. R JOURNAL, v. 9, n. 1, p. 219-228, JUN 2017. Web of Science Citations: 3. (13/07375-0, 12/22608-8, 11/14602-7)
(References retrieved automatically from State of São Paulo Research Institutions)
GARCIA, Luís Paulo Faina. Detecção de ruídos em problemas de classificação. Tese (Doutorado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos. (11/14602-7)