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of 32
pro vyhledávání: '"Thiago, Raphael"'
Autor:
Lima, Guilherme, Rodrigues, João M. B., Machado, Marcelo, Soares, Elton, Fiorini, Sandro R., Thiago, Raphael, Azevedo, Leonardo G., da Silva, Viviane T., Cerqueira, Renato
We present a Wikidata-based framework, called KIF, for virtually integrating heterogeneous knowledge sources. KIF is written in Python and is released as open-source. It leverages Wikidata's data model and vocabulary plus user-defined mappings to con
Externí odkaz:
http://arxiv.org/abs/2403.10304
Autor:
Azevedo, Leonardo Guerreiro, Souza, Renan Francisco Santos, Soares, Elton F. de S., Thiago, Raphael M., Tesolin, Julio Cesar Cardoso, Oliveira, Ann C., Moreno, Marcio Ferreira
Modern applications commonly need to manage dataset types composed of heterogeneous data and schemas, making it difficult to access them in an integrated way. A single data store to manage heterogeneous data using a common data model is not effective
Externí odkaz:
http://arxiv.org/abs/2308.03584
Autor:
de Bayser, Maximillien, Segura, Vinicius, Azevedo, Leonardo Guerreiro, Tizzei, Leonardo P., Thiago, Raphael Melo, Soares, Elton, Cerqueira, Renato
There is a gap in scientific information systems development concerning modern software engineering and scientific computing. Historically, software engineering methodologies have been perceived as an unwanted accidental complexity to computational s
Externí odkaz:
http://arxiv.org/abs/2112.12049
Autor:
Souza, Renan, Azevedo, Leonardo G., Lourenço, Vítor, Soares, Elton, Thiago, Raphael, Brandão, Rafael, Civitarese, Daniel, Brazil, Emilio Vital, Moreno, Marcio, Valduriez, Patrick, Mattoso, Marta, Cerqueira, Renato, Netto, Marco A. S.
Publikováno v:
Concurrency Computation Practice Experience. 2021;e6544
Machine Learning (ML) has already fundamentally changed several businesses. More recently, it has also been profoundly impacting the computational science and engineering domains, like geoscience, climate science, and health science. In these domains
Externí odkaz:
http://arxiv.org/abs/2010.00330
Autor:
Thiago, Raphael, Souza, Renan, Azevedo, L., Soares, E., Santos, Rodrigo, Santos, Wallas, De Bayser, Max, Cardoso, M., Moreno, M., Cerqueira, Renato
Publikováno v:
2020 European Association of Geoscientists and Engineers (EAGE) Digitalization Conference and Exhibition
Machine Learning (ML) has increased its role, becoming essential in several industries. However, questions around training data lineage, such as "where has the dataset used to train this model come from?"; the introduction of several new data protect
Externí odkaz:
http://arxiv.org/abs/2003.04915
Autor:
Souza, Renan, Azevedo, Leonardo, Lourenço, Vítor, Soares, Elton, Thiago, Raphael, Brandão, Rafael, Civitarese, Daniel, Brazil, Emilio Vital, Moreno, Marcio, Valduriez, Patrick, Mattoso, Marta, Cerqueira, Renato, Netto, Marco A. S.
Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of data, scientists' expertise, tools, and workflows. If data are not tr
Externí odkaz:
http://arxiv.org/abs/1910.04223
Akademický článek
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Autor:
Thiago Raphael Martins Meira, Jefferson Paixão Cardoso, Alba Benemérita Alves Vilela, Camila Rego Amorim, Saulo Vasconcelos Rocha, Ariane Nepomuceno Andrade, Daíla Santos Freire
Publikováno v:
Revista Brasileira em Promoção da Saúde, Vol 27, Iss 2, Pp 276-282 (2014)
Objective: To analyze teachers’ perceptions of the teaching work and the repercussions on their health. Methods: Qualitative study conducted with twelve teachers from public schools of a municipality of Bahia. Data were collected between October 20
Externí odkaz:
https://doaj.org/article/870ac545f0e6403fadafa0d671fb2f65
Autor:
Frederico Barra de Moraes, Rhanderson Miller Nascimento Cardoso, Sinara Vieira Rodrigues, Marcus Vinícius Ferreira Dutra, Uiara Rios Pereira, Thiago Raphael Sousa Alencar Borges
Publikováno v:
Revista Brasileira de Ortopedia, Vol 49, Iss 3, Pp 305-308 (2014)
Ameloblastomas are odontogenic tumors that are locally invasive and slow-growing. Their etiology is still not well defined, but the forms of treatment have been widely discussed because of the possibility of tumor recurrence and postoperative complic
Externí odkaz:
https://doaj.org/article/5c52169ca16a4f22bd8f0e26d98ce794
Autor:
Ariane Nepomuceno Andrade, Jefferson Paixão Cardoso, Alba Benemérita Alves Vilela, Daíla dos Santos Freire, Thiago Raphael Martins Meira, Hellaná Braga Martins, Ana Carolina França dos Anjos, Joseanne Barbosa Costa
Publikováno v:
Revista Ciência em Extensão, Vol 10, Iss 1, Pp 98-107 (2014)
Working conditions can contribute to the occurrence of work-related diseases that affect the physical and mental health of employees, with workers often facing increasing demands as well as conditions that are disadvantageous for the execution of the
Externí odkaz:
https://doaj.org/article/f757da1b4a134e3b9071deae27b1bf65