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Filtros

USP affiliated authors
- kon, fabio (~1)
- meirelles, paulo roberto miranda (~1)
- rodrigues junior, josé fernando (~1)
- silva, arthur pilone maia da (~1)
Date published
- 2025 (~2)
Subjects
- análise de séries temporais (1)
- aplicativos móveis (1)
- aprendizado computacional (1)
- benchmarks (1)
- melhoria de processo de software (1)

Trabalho de evento
Automatically augmenting GitHub issues with informative user reviews (2025)
Pilone, Arthur ; Raglianti, Marco; Lanza, Michele; Kon, Fábio ; Meirelles, Paulo
Source: Proceedings. Conference titles: IEEE International Conference on Software Maintenance and Evolution - ICSME. Unidade: IME
Subjects: APLICATIVOS MÓVEIS, MELHORIA DE PROCESSO DE SOFTWARE, SATISFAÇÃO DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PILONE, Arthur et al. Automatically augmenting GitHub issues with informative user reviews. 2025, Anais.. Piscataway: IEEE, 2025. p. 418-429. Disponível em: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11186053. Acesso em: 27 nov. 2025.
APA
Pilone, A., Raglianti, M., Lanza, M., Kon, F., & Meirelles, P. (2025). Automatically augmenting GitHub issues with informative user reviews. In Proceedings (p. 418-429). Piscataway: IEEE. doi:10.1109/ICSME64153.2025.00045
NLM
Pilone A, Raglianti M, Lanza M, Kon F, Meirelles P. Automatically augmenting GitHub issues with informative user reviews [Internet]. Proceedings. 2025 ; 418-429.[citado 2025 nov. 27 ] Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11186053
Vancouver
Pilone A, Raglianti M, Lanza M, Kon F, Meirelles P. Automatically augmenting GitHub issues with informative user reviews [Internet]. Proceedings. 2025 ; 418-429.[citado 2025 nov. 27 ] Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11186053
Trabalho de evento
ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts (2025)
Proios, Dimitrios ; Bornet, Alban ; Yazdani, Anthony ; Rodrigues Junior, José Fernando ; Teodoro, Douglas
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, BENCHMARKS, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS, UNIDADES DE TERAPIA INTENSIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PROIOS, Dimitrios et al. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00022. Acesso em: 27 nov. 2025.
APA
Proios, D., Bornet, A., Yazdani, A., Rodrigues Junior, J. F., & Teodoro, D. (2025). ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00022
NLM
Proios D, Bornet A, Yazdani A, Rodrigues Junior JF, Teodoro D. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts [Internet]. Proceedings. 2025 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00022
Vancouver
Proios D, Bornet A, Yazdani A, Rodrigues Junior JF, Teodoro D. ICU-TSB: a benchmark for temporal patient representation learning for unsupervised stratification into patient cohorts [Internet]. Proceedings. 2025 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00022

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