CV Lattes
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Denis Moreira dos Reis in research grants and scholarships supported by FAPESP.
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Learning from data streams with extreme verification latency is a challenging endeavor. Extreme verification latency means that no labels are available after the classifier deployment. Therefore, the classifier must detect and adapt to concept drifts in the absence of information about the correct classes of the examples. This perspective is much different from most of the supervised appr…
Despite the relatively maturity of batch-mode supervised learning research, in which the data typifies stationary problems, many real world applications deal with data streams whose statistical properties change over time, causing what is known as concept drift. For such applications a large body of research has been done in the last years, with the objective of creating new models that a…
Machine Learning has proven its importance by its rapidly growth in number of published works and consequently maturity. However, although there is a crescent concern about correctly assessing new propositions, the currently used evaluation methodology can be not enough to compare data stream classifiers for real world scenarios. Evaluation, nowadays, is limited to the case where, once th…
| 4 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 5 / 4 | All Scholarships |
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