Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hugo Villamizar"'
Engineering machine learning (ML)-enabled systems poses various challenges from both a theoretical and a practical perspective. Among those challenges are how to effectively align the specification of stakeholder needs, requirements, and constraints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caef42ecf4a2bf1f33e4dab78a32ad70
Machine learning (ML) teams often work on a project just to realize the performance of the model is not good enough. Indeed, the success of ML-enabled systems involves aligning data with business problems, translating them into ML tasks, experimentin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af31689b7b5e3ef25258306af778e84a
http://arxiv.org/abs/2206.09760
http://arxiv.org/abs/2206.09760
Machine learning (ML) teams often work on a project just to realize the performance of the model is not good enough. However, the success of ML-enabled systems involve aligning data with business problems, translating them into ML tasks, experimentin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5d92c1ac5144c7cefe5960f846baa4
Machine learning (ML) teams often work on a project just to realize the performance of the model is not good enough. The success of these systems involve aligning data with business problems, translating them into ML tasks, experimenting with algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c0ed52820d7731b5a7ed5470279618e
Autor:
Leonardo Fialho, Marinho Fischer, Sidney Comandulli, Cristiane Salgado, Bruno Itagyba, André Kuramoto, Hélio Lopes, Jacques Chueke, Thuener Silva, Marcos Kalinowski, Hugo Villamizar, Cassia Novello, Simone Barbosa, André Damasceno, Bruna Ferreira, Bianca Teixeira
Publikováno v:
Proceedings of the 23rd International Conference on Enterprise Information Systems.
Livro finalista do prêmio Jabuti Acadêmico 2024. Os avanços recentes na área de Ciência de Dados - em especial em Machine Learning - têm tornado viável e de relevância prática novas soluções de software, que podem aprender a partir de dado
Autor:
Rodrigo Lima, Hélio Lopes, Juliana Alves Pereira, Marcos Kalinowski, Marinho Fischer, Bruno Itagyba, Hugo Villamizar, Thuener Silva, Alex Furtado Teixeira, Cristiane Salgado, Deborah Lemes, Gabriel da Silva Cardoso, Solon Tarso Batista, Bruna Ferreira, Jacques Chueke, André Seichi Ribeiro Kuramoto, Marcus Waltemberg, Bianca Rodrigues Teixeira, Carlos Pelizaro, Odnei Lopes, Jorge Alam Warrak, Marcelo Silva da Costa, Simone Diniz Junqueira Barbosa, Marcus Poggi
Publikováno v:
SEAA
Petrobras is Brazil’s largest publicly-held company, operating in the oil, natural gas, and energy industry. Internal efforts enabled Petrobras to identify Digital Transformation (DT) opportunities to further promote their operational excellence. W
Autor:
Hugo Villamizar, Marcus Waltemberg, Juliana Alves Pereira, Simone Diniz Junqueira Barbosa, Odnei Lopes, Willer Goulart, Marcus Poggi, Rodrigo Lima, Thuener Silva, Hélio Lopes, Marinho Fischer, André Seichi Ribeiro Kuramoto, Gabriel da Silva Cardoso, Bruna Ferreira, Cristiane Salgado, Jacques Chueke, Carlos Pelizaro, André Brandão, Jorge Alam Warrak, Alex Furtado Teixeira, Deborah Lemes, Marcos Kalinowski, Bianca Rodrigues Teixeira, Solon Tarso Batista, Marcelo Silva da Costa, Bruno Itagyba
Publikováno v:
Product-Focused Software Process Improvement ISBN: 9783030641474
PROFES
PROFES
Petrobras is a large publicly-held company that operates in the oil, gas and energy industry. Recently, they conducted internal dynamics to identify several Digital Transformation (DT) opportunities to leverage their operational excellence. Addressin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f27770610ee223ef063e58080f7587
https://doi.org/10.1007/978-3-030-64148-1_7
https://doi.org/10.1007/978-3-030-64148-1_7
Defects in requirements specifications can have severe consequences during the software development lifecycle. Some of them may result in poor product quality and/or time and budget overruns due to incorrect or missing quality characteristics, such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cc253318a33393309f2c40f22cb1ae1
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20512
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20512
Publikováno v:
RE
Defects in requirements specifications can have severe consequences during the software development lifecycle. Some of them result in overall project failure due to incorrect or missing quality characteristics such as security. There are several conc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0d07e507cb63fbbb22ab60d8722b59f