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pro vyhledávání: '"Patricia Inoue"'
Autor:
Patricia Inoue Nakagawa, Luís Ferreira Pires, João Luiz Rebelo Moreira, Luiz Olavo Bonino da Silva Santos, Faiza Bukhsh
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10804 (2021)
Explainable Machine Learning comprises methods and techniques that enable users to better understand the machine learning functioning and results. This work proposes an ontology that represents explainable machine learning experiments, allowing data
Externí odkaz:
https://doaj.org/article/21fbc5b1d44846b3b8fe4a7daa3cd927
Autor:
Carlos Prete Junior, Lewis Buss, Tassila Salomon, Marcio Oikawa, Rafael Pereira, Isabel Moura, Lucas Delerino, Manoel Barral-Netto, Natalia Tavares, Rafael Franca, Viviane Boaventura, Fabio Miyajima, Alfredo Medrone Junior, Cesar de Almeida Neto, Nanci Salles, Suzete Ferreira, Karine Fladzinski, Luana de Souza, Luciane Schier, Patricia Inoue, Nelson Fraiji, Lilyane Xabregas, Myuki Crispim, Fernando Araujo, Luciana Carlos, Veridiana Pessoa, Maisa Ribeiro, Rosenvaldo de Souza, Anna Cavalcante, Maria Valença, Maria da Silva, Esther Lopes, Luiz Amorim, Sheila Mateos, Gabrielle Nunes, Samara Santos, Alexander Silva-Junior, Michael Busch, Marcia Castro, Christopher Dye, Oliver Ratmann, Nuno Faria, Charles Whittaker, Vitor Nascimento, Ester Sabino
There are large differences in the shape and size of regional SARS-CoV-2 epidemics in Brazil. Here we tested monthly blood donation samples for IgG antibodies from March 2020 to March 2021 in eight of Brazil’s most populous cities. There was large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f65af9bba148ce6ad728d36210d2302
https://doi.org/10.21203/rs.3.rs-1363260/v1
https://doi.org/10.21203/rs.3.rs-1363260/v1
Publikováno v:
Proceedings-2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021, 236-244
STARTPAGE=236;ENDPAGE=244;TITLE=Proceedings-2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021
STARTPAGE=236;ENDPAGE=244;TITLE=Proceedings-2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021
Machine learning (ML) has outperformed humans in many areas, and that is why it has been adopted by a large variety of applications, such as computer vision, speech recognition, and robotics. However, their functioning and the reason why they generat
Akademický článek
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Autor:
Luiz Olavo Bonino da Silva Santos, Luis Ferreira Pires, Faiza Bukhsh, João Luiz Rebelo Moreira, Patricia Inoue Nakagawa
Publikováno v:
Applied Sciences
Volume 11
Issue 22
Applied Sciences, Vol 11, Iss 10804, p 10804 (2021)
Applied Sciences, 11(22):10804. Politechnica University of Bucharest
Volume 11
Issue 22
Applied Sciences, Vol 11, Iss 10804, p 10804 (2021)
Applied Sciences, 11(22):10804. Politechnica University of Bucharest
Explainable Machine Learning comprises methods and techniques that enable users to better understand the machine learning functioning and results. This work proposes an ontology that represents explainable machine learning experiments, allowing data
Autor:
Jorge Luis Risco Becerra, Patricia Inoue Nakagawa, Ana Claudia Rossi, Juan Felipe Restrepo Naranjo
Publikováno v:
Proceedings of the 14th CONTECSI International Conference on Information Systems and Technology Management.
Este artigo apresenta uma proposta de um metodo para definicao de KPIs atraves da aplicacao de Design Thinking durante a fase de definicao de requisitos de um projeto de BI. O contexto utilizado e o cenario da area de BI de um banco de varejo naciona