CV Lattes
ResearcherID
ORCID
Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. Instituto de Ciência e Tecnologia (ICT) (Institutional affiliation for the last research proposal) Birthplace: Brazil
Lucas Fernando Alvarenga e Silva in research grants and scholarships supported by FAPESP.
| News published in Agência FAPESP Newsletter about the researcher |
| TITULO |
| Articles published in other media outlets (0 total): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Nowadays the use of computational vision methods on real-world problems is growing mainly by the achievement of better results on image and video recognition tasks. These results have been achieved by the evolution of machine learning methods, specifically by deep neural networks. However, these methods are usually adapted for tasks where their limits are well known, and have low flexibil…
Digital videos have become the medium of choice for a growing number of people communicating via Internet and their mobile devices. Over the past decade, world has witnessed an explosive growth in the amount of video data fostered by astonishing technological developments. In this scenario, there is a growing demand for efficient systems to reduce the work and information overload for peo…
| 1 / 1 | Ongoing scholarships in Brazil |
| 1 / 1 | Completed scholarships in Brazil |
| 2 / 2 | All Scholarships |
| Associated processes | |
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
| Publications | None |
| Citations | None |
| Cit./Article | None |
| Data from Web of Science | |
ROCHA, GUILHERME CONCEICAO; PAIVA, HENRIQUE MOHALLEM; SANCHES, DAVI GONCALVES; FIKS, DANIEL; CASTRO, RAFAEL MARTINS; ALVARENGA E SILVA, LUCAS FERNANDO. Information system for epidemic control: a computational solution addressing successful experiences and main challenges. LIBRARY HI TECH, v. 39, n. 3, SI, p. 834-854, SEP 13 2021. Web of Science Citations: 0. (20/08770-3, 19/18294-7)
ROCHA, GUILHERME CONCEICAO; PAIVA, HENRIQUE MOHALLEM; SANCHES, DAVI GONCALVES; FIKS, DANIEL; CASTRO, RAFAEL MARTINS; ALVARENGA E SILVA, LUCAS FERNANDO. Information system for epidemic control: a computational solution addressing successful experiences and main challenges. LIBRARY HI TECH, MAR 2021. Web of Science Citations: 0. (19/18294-7, 20/08770-3)