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Universidade Estadual Paulista (UNESP). Campus de Bauru. Faculdade de Ciências (FC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Giovani Candido in research grants and scholarships supported by FAPESP.
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The present mastership project is part of the "Institutional development plan in the area of digital transformation (PDIP): advanced manufacturing and smart cities", promoted by the Institute for Technological Research of Sao Paulo (IPT) (Research Grant #17/50343-2), through the research line entitled "Machine learning models for assessing biodeterioration aspects of urban trees".This res…
Supervised learning upon small datasets, aka few-shot learning, aims at dealing with situations in which only a few samples are available for training purposes. Among the primary applications, one shall refer to those who use medical records since samples positive for some illnesses are sometimes not straightforward to obtain. Prototypical Neural Networks arose as one of the most widely e…
Over the years, supervised image classification has made some noble advances. The classification models, in turn, developed a stronger need for larger datasets. However, in many situations, images are scarce. In this context, few-shot learning stands out as it allows models to learn from a few labeled samples. In particular, a promising model known as Prototypical Networks was introduced.…
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 3 / 3 | All Scholarships |
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