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Filtros : "programming online judges" Limpar

Filtros

USP affiliated authors
- curasma, herminio paucar (~1)
- isotani, seiji (~1)
Date published
- 2024 (~1)
- 2023 (~1)
Subjects
- ambiente escolar (1)
- aprendizagem profunda (1)
- computação em nuvem (1)
- inteligência artificial (1)
- sistemas de recomendação (1)

Artigo de periodico
An extended study of a cloud-based recommender system for competitive programming platforms with machine and deep learning (2024)
Julca-Mejia, Wilson ; Paucar-Curasma, Herminio
Source: Brazilian Journal of Development. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, APRENDIZAGEM PROFUNDA, COMPUTAÇÃO EM NUVEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JULCA-MEJIA, Wilson e PAUCAR-CURASMA, Herminio. An extended study of a cloud-based recommender system for competitive programming platforms with machine and deep learning. Brazilian Journal of Development, v. 10, n. ja 2024, p. 790-806, 2024Tradução . . Disponível em: https://doi.org/10.34117/bjdv10n1-050. Acesso em: 26 jan. 2026.
APA
Julca-Mejia, W., & Paucar-Curasma, H. (2024). An extended study of a cloud-based recommender system for competitive programming platforms with machine and deep learning. Brazilian Journal of Development, 10( ja 2024), 790-806. doi:10.34117/bjdv10n1-050
NLM
Julca-Mejia W, Paucar-Curasma H. An extended study of a cloud-based recommender system for competitive programming platforms with machine and deep learning [Internet]. Brazilian Journal of Development. 2024 ; 10( ja 2024): 790-806.[citado 2026 jan. 26 ] Available from: https://doi.org/10.34117/bjdv10n1-050
Vancouver
Julca-Mejia W, Paucar-Curasma H. An extended study of a cloud-based recommender system for competitive programming platforms with machine and deep learning [Internet]. Brazilian Journal of Development. 2024 ; 10( ja 2024): 790-806.[citado 2026 jan. 26 ] Available from: https://doi.org/10.34117/bjdv10n1-050
Artigo de periodico
Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams (2023)
Pereira, Filipe Dwan ; Rodrigues, Luiz Antonio Lima ; Henklain, Marcelo Henrique Oliveira ; Freitas, Herminio; Oliveira, David Fernandes; Cristea, Alexandra Ioana ; Carvalho, Leandro S. Galvão ; Isotani, Seiji ; Benedict, Aileen ; Dorodchi, Mohsen ; Oliveira, Elaine Harada Teixeira de
Source: IEEE Transactions on Learning Technologies. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, TOMADA DE DECISÃO, AMBIENTE ESCOLAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Filipe Dwan et al. Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams. IEEE Transactions on Learning Technologies, v. 16, n. 3, p. 457-472, 2023Tradução . . Disponível em: https://doi.org/10.1109/TLT.2022.3224121. Acesso em: 26 jan. 2026.
APA
Pereira, F. D., Rodrigues, L. A. L., Henklain, M. H. O., Freitas, H., Oliveira, D. F., Cristea, A. I., et al. (2023). Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams. IEEE Transactions on Learning Technologies, 16( 3), 457-472. doi:10.1109/TLT.2022.3224121
NLM
Pereira FD, Rodrigues LAL, Henklain MHO, Freitas H, Oliveira DF, Cristea AI, Carvalho LSG, Isotani S, Benedict A, Dorodchi M, Oliveira EHT de. Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams [Internet]. IEEE Transactions on Learning Technologies. 2023 ; 16( 3): 457-472.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1109/TLT.2022.3224121
Vancouver
Pereira FD, Rodrigues LAL, Henklain MHO, Freitas H, Oliveira DF, Cristea AI, Carvalho LSG, Isotani S, Benedict A, Dorodchi M, Oliveira EHT de. Towards human-AI collaboration: a recommender system to support CS1 instructors to select problems for assignments and exams [Internet]. IEEE Transactions on Learning Technologies. 2023 ; 16( 3): 457-472.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1109/TLT.2022.3224121

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