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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
Luís Paulo Faina Garcia received the BSc. degree in Computer Engineering in 2010 and the Ph.D. in Computer Science in 2016 from University of São Paulo, Brazil. In 2017, he received two awards of best thesis by the Brazilian Government Council (CAPES) and Brazilian Computer Society (SBC). He is currently a professor in the Computer Science Department - University of Brasília, Brazil. His research interests include Machine Learning, Data Mining, Data Streams and Meta-Learning. (Source: Lattes Curriculum)
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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,…
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