Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Damares Crystina Oliveira de Resende"'
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74905d8d9accd8f0d1f6bf91834e565c
https://doi.org/10.1007/s00521-021-06601-7
https://doi.org/10.1007/s00521-021-06601-7
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
There are known advantages of using semantic attributes to improve image representation. However, studying how to use such attributes to improve visual subspaces and its effects on coarse and fine-grained classification were still to be investigated.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049ca44858abd0e8b90803ae20a110f8
https://doi.org/10.11606/d.55.2021.tde-17032021-122717
https://doi.org/10.11606/d.55.2021.tde-17032021-122717
Autor:
Ronan Boulic, Damares Crystina Oliveira de Resende, Henrique Galvan Debarba, Schubert R. Carvalho, Ana Carolina Siravenha, Bruno Gomes, Iraquitan Cordeiro Filho, Cleidson R. B. de Souza
Publikováno v:
SIBGRAPI
Carvalho, S R, Filho, I C, Resende, D O D, Siravenha, A C, Souza, C D, Debarba, H G, Gomes, B & Boulic, R 2017, A Deep Learning Approach for Classification of Reaching Targets from EEG Images . in Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017 ., 8097310, IEEE Signal Processing Society, Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, pp. 178-184, 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, Niteroi, Rio de Janeiro, Brazil, 17/10/2017 . https://doi.org/10.1109/SIBGRAPI.2017.30
Carvalho, S R, Filho, I C, Resende, D O D, Siravenha, A C, Souza, C D, Debarba, H G, Gomes, B & Boulic, R 2017, A Deep Learning Approach for Classification of Reaching Targets from EEG Images . in Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017 ., 8097310, IEEE Signal Processing Society, Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, pp. 178-184, 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, Niteroi, Rio de Janeiro, Brazil, 17/10/2017 . https://doi.org/10.1109/SIBGRAPI.2017.30
In this paper, we propose a new approach for the classification of reaching targets before movement onset, during visually-guided reaching in 3D space. Our approach combines the discriminant power of two-dimensional Electroencephalography (EEG) signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4303d7f61d79e3ef0217c3aa9640876
https://doi.org/10.1109/sibgrapi.2017.30
https://doi.org/10.1109/sibgrapi.2017.30
Autor:
Ana Carolina Siravenha, Bruno Gomes, Damares Crystina Oliveira de Resende, Bianchi Serique Meiguins, Schubert R. Carvalho, Henrique Galvan Debarba, Iraquitan Cordeiro Filho
Publikováno v:
De Carvalho, S R, Filho, I C, De Resende, D C O, Siravenha, A C Q, Meiguins, B S, Debarba, H G & Gomes, B D 2017, A novel procedure for classification of early human actions from EEG signals . in Proceedings-2017 Brazilian Conference on Intelligent Systems, BRACIS 2017 . IEEE Signal Processing Society, Proceedings-2017 Brazilian Conference on Intelligent Systems, BRACIS 2017, vol. 2018-January, pp. 240-245, 6th Brazilian Conference on Intelligent Systems, BRACIS 2017, Uberlandia, Brazil, 02/10/2017 . https://doi.org/10.1109/BRACIS.2017.39
BRACIS
BRACIS
We introduce a novel procedure that extends the time feasibility for classification of early human actions. Its major characteristic is to use epoch training data from a wider time duration before action onset (i.e., within the intention period) inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cff662fc7ede5b5452f29def145bde3
https://vbn.aau.dk/da/publications/a9007bf5-42bf-483e-a3dd-5b18104d0e4b
https://vbn.aau.dk/da/publications/a9007bf5-42bf-483e-a3dd-5b18104d0e4b
Autor:
André Luis Carvalho Siqueira, Antonio F. L. Jacob, Damares Crystina Oliveira de Resende, Fábio Manoel França Lobato, Roberto P. Nascimento, Ádamo Lima de Santana
Publikováno v:
Internet of Things ISBN: 9783319507569
The attention on sleep disorders has grown in recent years. Mainly because of the changes imposed by the information and communication Era. These changes have impacted in a hazardous way on our sleep quality. The current mainstream sleep disorder det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0f4972cc405c05a6d9e204280fb35ae
https://doi.org/10.1007/978-3-319-50758-3_9
https://doi.org/10.1007/978-3-319-50758-3_9
Autor:
Ana Carolina Siravenha, Danilo Sousa, Evaldo Pelaes, Damares Crystina Oliveira de Resende, Reginaldo Filho
Publikováno v:
International Journal of Information and Education Technology. 4:399-404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f26c73a24a066d264687273c31d4a9ba
https://doi.org/10.7763/ijiet.2014.v4.438
https://doi.org/10.7763/ijiet.2014.v4.438
Autor:
de Resende, Damares Crystina Oliveira1 (AUTHOR) damaresresende@alumni.usp.br, Ponti, Moacir Antonelli1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. 3/15/2022, Vol. 34 Issue 6, p4459-4471. 13p.
Autor:
Lobato, Fábio Manoel Franca, de Resende, Damares Crystina Oliveira, do Nascimento, Roberto Pereira, Siqueira, André Luis Carvalho, Jacob Jr., Antonio Fernando Lavareda, de Santana, Ádamo Lima
Publikováno v:
Beyond the Internet of Things; 2017, p223-242, 20p
Publikováno v:
Beyond the Internet of Things; 2017, pi-x, 10p
The major subjects of the book cover modeling, analysis and efficient management of information in Internet of Everything (IoE) applications and architectures. As the first book of its kind, it addresses the major new technological developments in th