CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Ciência da Computação from Universidade de Franca (2015) and master's at Computer Science from Universidade Federal de São Carlos (2019). Has experience in Computer Science, focusing on Computer Science, acting on the following subjects: algoritmo genético, concept drift, label powerset, data stream and multi-label classification. (Source: Lattes Curriculum)
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Data Streams are unlimited data sequences, continuously generated, non-stationary, and in many cases arriving in high speed. Novelty Detection is a classification task that verifies if an example, or a set of examples, differs significantly from the previously seen examples. This is an important task for Data Stream Classification, since new concepts may appear, disappear, or evolve over …
Data streams (DS) are potentially unlimited sequences, generated continuously, non-stationary and, in many cases, at high speed. There are several studies currently investigating the application of Novelty Detection (ND) techniques in DS. This is because ND is an important task, mainly because new concepts may appear, disappear or evolve over time. Most of the work found in the novelty de…
| 1 / 1 | Completed scholarships in Brazil |
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