ReP USP - Resultado da busca

Filtros : "ACM" "Financiamento NSERC" Removido: "IME" Limpar

Filtros

USP affiliated authors
- cabral, eric macedo (~1)
- nakagawa, elisa yumi (~1)
- nunes, joão paulo karol santos (~1)
- oliveira, maria cristina ferreira de (~1)
Date published
- 2024 (~1)
- 2023 (~1)
Subjects
- alocação de recursos (1)
- arquitetura de software (1)
- processamento de linguagem natural (1)
- reconhecimento de texto (1)
- redes neurais (1)

Trabalho de evento
Self-adaptive, requirements-driven autoscaling of microservices (2024)
Nunes, João Paulo Karol Santos ; Nejati, Shiva ; Sabetzadeh, Mehrdad ; Nakagawa, Elisa Yumi
Source: Proceedings. Conference titles: International Symposium on Software Engineering for Adaptive and Self-Managing Systems. Unidade: ICMC
Subjects: ARQUITETURA DE SOFTWARE, ALOCAÇÃO DE RECURSOS, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NUNES, João Paulo Karol Santos et al. Self-adaptive, requirements-driven autoscaling of microservices. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3643915.3644094. Acesso em: 16 nov. 2024.
APA
Nunes, J. P. K. S., Nejati, S., Sabetzadeh, M., & Nakagawa, E. Y. (2024). Self-adaptive, requirements-driven autoscaling of microservices. In Proceedings. New York: ACM. doi:10.1145/3643915.3644094
NLM
Nunes JPKS, Nejati S, Sabetzadeh M, Nakagawa EY. Self-adaptive, requirements-driven autoscaling of microservices [Internet]. Proceedings. 2024 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3643915.3644094
Vancouver
Nunes JPKS, Nejati S, Sabetzadeh M, Nakagawa EY. Self-adaptive, requirements-driven autoscaling of microservices [Internet]. Proceedings. 2024 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3643915.3644094
Trabalho de evento
Addressing the gap between current language models and key-term-based clustering (2023)
Cabral, Eric Macedo ; Rezaeipourfarsangi, Sima ; Oliveira, Maria Cristina Ferreira de ; Milios, Evangelos E ; Minghim, Rosane
Source: Proceedings. Conference titles: ACM Symposium on Document Engineering - DocEng. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, REDES NEURAIS, VISUALIZAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CABRAL, Eric Macedo et al. Addressing the gap between current language models and key-term-based clustering. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3573128.3604900. Acesso em: 16 nov. 2024.
APA
Cabral, E. M., Rezaeipourfarsangi, S., Oliveira, M. C. F. de, Milios, E. E., & Minghim, R. (2023). Addressing the gap between current language models and key-term-based clustering. In Proceedings. New York: ACM. doi:10.1145/3573128.3604900
NLM
Cabral EM, Rezaeipourfarsangi S, Oliveira MCF de, Milios EE, Minghim R. Addressing the gap between current language models and key-term-based clustering [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3573128.3604900
Vancouver
Cabral EM, Rezaeipourfarsangi S, Oliveira MCF de, Milios EE, Minghim R. Addressing the gap between current language models and key-term-based clustering [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3573128.3604900

Digital Library of Intellectual Production of Universidade de São Paulo 2012 - 2024

USP Schools

ReP

Filtros

Authors

Subjects

Funding Agencies