Zobrazeno 1 - 10
of 15
pro vyhledávání: '"André Ponce de Leon F. de Carvalho"'
Autor:
Carlos Renato Lisboa Francês, Marcelino Silva da Silva, Evelin Helena Silva Cardoso, Maria da Penha de Andrade Abi Harb, Carlos André de Mattos Teixeira, Nandamudi Lankalapalli Vijaykumar, André Ponce de Leon F. de Carvalho, Lena Veiga E Silva, Aurea Milene Teixeira Barbosa dos Santos, Vitor Hugo Macedo Gomes, Solon Venâncio de Carvalho
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Journal of Medical Internet Research, Vol 22, Iss 8, p e21413 (2020)
Journal of Medical Internet Research
Universidade de São Paulo (USP)
instacron:USP
Journal of Medical Internet Research, Vol 22, Iss 8, p e21413 (2020)
Journal of Medical Internet Research
Background In Brazil, a substantial number of coronavirus disease (COVID-19) cases and deaths have been reported. It has become the second most affected country worldwide, as of June 9, 2020. Official Brazilian government sources present contradictor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1927d5e722db2bdb1cc0dd5574393ad1
Autor:
Helder Luiz Costa De Oliveira, Kelly Cristina Ramos Da Silva, André Ponce de Leon F. de Carvalho
Publikováno v:
International Journal of Business Intelligence and Data Mining. 19:1
The output of outlier detection algorithm applied to multidimensional dataset usually consists of scores defining the level of abnormality of each instance. However, this process per se does not identify the outlying instances. For this purpose, it i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::917c95c7a827853e08d42a8f32348976
https://doi.org/10.1504/ijbidm.2021.10038643
https://doi.org/10.1504/ijbidm.2021.10038643
Autor:
Davi Pereira dos Santos, Caetano Traina, Marcelo Ponciano-Silva, Paulo Mazzoncini de Azevedo-Marques, André Ponce de Leon F. de Carvalho, Marcos V. N. Bedo
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
Content-based medical image retrieval (CBMIR) is a powerful resource to improve differential computer-aided diagnosis. The major problem with CBMIR applications is the semantic gap, a situation in which the system does not follow the users’ sense o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7bda5dd727f4d3d8ed40ff98811c613
https://doi.org/10.1007/s10278-015-9809-1
https://doi.org/10.1007/s10278-015-9809-1
Autor:
André Ponce de Leon F. de Carvalho, Maria Emilia M. T. Walter, José Alexandre Felizola Diniz-Filho, Shana Schlottfeldt, Mariana Pires de Campos Telles
Publikováno v:
ICNC-FSKD
A key issue in policies for sustainable development is related to biodiversity conservation, which aim is to minimize the costs of conservation while ensuring the maximal biodiversity representation, a NP-hard problem. We propose the use of a constra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b89c64d196a8fa45e7b5cc69ff771ec
https://doi.org/10.1109/fskd.2017.8392911
https://doi.org/10.1109/fskd.2017.8392911
Autor:
Péricles B. C. de Miranda, Carlos Soares, André Ponce de Leon F. de Carvalho, Ricardo B. C. Prudêncio
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
Support Vector Machines (SVMs) have achieved a considerable attention due to their theoretical foundations and good empirical performance when compared to other learning algorithms in different applications. However, the SVM performance strongly depe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da53dd9f4af8ae1b634cbcc81e68c63c
https://doi.org/10.1016/j.neucom.2014.06.026
https://doi.org/10.1016/j.neucom.2014.06.026
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
WOS:000271584000004 (Nº de Acesso Web of Science) Clustering quality or validation indices allow the evaluation of the quality of clustering in order to support the selection of a specific partition or clustering structure in its natural unsupervise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9eeb7faac126915268b44949679fa61
https://doi.org/10.3233/ida-2009-0390
https://doi.org/10.3233/ida-2009-0390
Publikováno v:
Intelligent Data Analysis. 13:405-422
This paper presents and evaluates an approach to novelty detection that addresses it as the problem of identifying novel concepts in a continuous learning scenario, as an extension to a single-class classification problem. OLINDDA, an OnLIne Novelty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2da28d2b75d0b01bfd57ef879eba51c1
https://doi.org/10.3233/ida-2009-0373
https://doi.org/10.3233/ida-2009-0373
Autor:
Antonio Valerio Netto, Giampaolo L. Libralao, André Ponce de Leon F. de Carvalho, Maria Cristina Ferreira de Oliveira
Publikováno v:
Sba: Controle & Automação Sociedade Brasileira de Automatica, Volume: 16, Issue: 2, Pages: 146-158, Published: JUN 2005
Sba: Controle & Automação Sociedade Brasileira de Automatica v.16 n.2 2005
Sba: Controle & Automação Sociedade Brasileira de Automatica
Sociedade Brasileira de Automática (SBA)
instacron:SBA
Sba: Controle & Automação Sociedade Brasileira de Automatica v.16 n.2 2005
Sba: Controle & Automação Sociedade Brasileira de Automatica
Sociedade Brasileira de Automática (SBA)
instacron:SBA
Este artigo relata uma nova abordagem para a avaliação dos vícios refrativos do olho humano (miopia, hipermetropia e astigmatismo) por meio de uma técnica de Aprendizado de Máquina. Esses vícios são diagnosticados a partir da análise de image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f22ee385048f385c1e190db16380946
https://doi.org/10.1590/s0103-17592005000200004
https://doi.org/10.1590/s0103-17592005000200004
Autor:
Yuri Saito, Ricardo José Ferrari, Antonio Carlos dos Santos, André Ponce de Leon F. de Carvalho, Jefferson William Teixeira, Paulo Mazzoncini de Azevedo Marques
Publikováno v:
Revista de Informática Teórica e Aplicada; v. 17, n. 1 (2010); 52-70
Apesar do grande sucesso dos filtros de difusao anisotropica na reducao de ruidos de imagens medicas, uma limitacao dessa abordagem iterativa e a determinacao automatica do numero correto de iteracoes do algoritmo, visto que um numero grande de itera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f5e48bae37a38c357b0a35b55a6723d
http://seer.ufrgs.br/rita/article/view/rita_v17_n1_p52
http://seer.ufrgs.br/rita/article/view/rita_v17_n1_p52
Publikováno v:
SAC
In this paper, a cluster-based novelty detection technique capable of dealing with a large amount of data is presented and evaluated in the context of intrusion detection. Starting with examples of a single class that describe the normal profile, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46ba34b43914c30db008191c4010fe13
https://doi.org/10.1145/1363686.1363912
https://doi.org/10.1145/1363686.1363912