Medical Physicist from the Federal University of Health Sciences of Porto Alegre (UFCSPA). Currently pursuing a master's degree in Operations Research at the Federal University of São Paulo (UNIFESP) and the Aeronautics Institute of Technology (ITA), with a FAPESP scholarship from the project entitled 'A unified approach for dealing with missing and noise data', supervised by Professor Dr. Ana Carolina Lorena. Additionally, holds a FAPESP scholarship for a research internship abroad (BEPE) for 6 months at the University of Coimbra (UC), Portugal. (Source: Lattes Curriculum)
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Various issues can deteriorate data quality in Machine Learning. Among them, one may cite the quality of the features, which can be impaired by the presence of noise and missing data. Noise can be inputted in data in several steps during data collection, storage and transmission. In supervised problems, they can be present both in the labels and in the predictive input features. Missing v…
Various issues can deteriorate data quality in Machine Learning. Among them, one may cite the quality of the input features, which can be impaired by the presence of noise and missing data. Noise can be inputted into data in several steps during collection, storage, and transmission. In supervised problems, they can be present both in the labels and in the predictive input features. Missi…
| 1 / 1 | Ongoing scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
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