Luísa Balleroni Shimabucoro in research grants and scholarships supported by FAPESP.
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Representation Learning often used to perform search, classification and cross-domain generation tasks have shown great progress in the last few decades with the help of deep learning models, particularly with regards to Recurrent Neural Network (RNN) architectures applied to the domain of sketches. Nonetheless, these models neglect spatial-temporal dependencies, which results in limited …
Machine Learning has gained praise for its impressive performance in tasks where data is plentiful, like object detection and text generation. Many problems however do not have the privilege of having massive labelled data and collecting even small datasets in these domains often carries a large financial cost and requires a substantial time investment, which is the case in areas such as …
| 1 / 1 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 2 / 2 | All Scholarships |
| Associated processes | |
CV Lattes
ORCID