Professor at the Institute of Computing at the University of Amazonas (UFAM). Ph.D. in Computer Science (2017), M.Sc. in Computer Science (2010), and B.Sc. in Computer Science (2008) from University of São Paulo. Has experience in Computer Science with specialization in Artificial Intelligence and Machine Learning. (Source: Lattes Curriculum)
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There is an increasing interest in techniques for analysis of time-related data in the last decades. Such interest is explained by the fact that nearly all human activities produce time-related data. In this project, we aim at developing time series classification algorithms. Although a great deal of classification algorithms has been proposed in the last few decades, experimental evaluat…
Symbolic learning supervised algorithms are often used in Knowledge Discovery in Database. In most cases, the knowledge induced by these algorithms can be expressed as a set of rules. Those rules, however, have a bias that is related to the support and accuracy inherent to the induced classifier. Thus, although the set of rules that constitute the classifier may represent the implicit kno…
| 5 / 3 | Completed scholarships in Brazil |
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