ReP USP - Resultado da busca

Artigo de periodico
River: machine learning for streaming data in Python (2021)
Montiel, Jacob ; Halford, Max; Mastelini, Saulo Martiello ; Bolmier, Geoffrey; Sourty, Raphael; Vaysse, Robin; Zouitine, Adil; Gomes, Heitor Murilo ; Read, Jesse ; Abdessalem, Talel ; Bifet, Albert
Source: Journal of Machine Learning Research. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, PYTHON
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MONTIEL, Jacob et al. River: machine learning for streaming data in Python. Journal of Machine Learning Research, v. 22, p. 1-8, 2021Tradução . . Disponível em: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf. Acesso em: 10 nov. 2024.
APA
Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., et al. (2021). River: machine learning for streaming data in Python. Journal of Machine Learning Research, 22, 1-8. Recuperado de https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
NLM
Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 nov. 10 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
Vancouver
Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 nov. 10 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
Artigo de periodico
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning (2020)
Rivolli, Adriano ; Read, Jesse; Soares, Carlos; Pfahringer, Bernhard ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Machine Learning. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano et al. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, v. 109, n. 8, p. 1509-1563, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10994-020-05879-3. Acesso em: 10 nov. 2024.
APA
Rivolli, A., Read, J., Soares, C., Pfahringer, B., & Carvalho, A. C. P. de L. F. de. (2020). An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, 109( 8), 1509-1563. doi:10.1007/s10994-020-05879-3
NLM
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Vancouver
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Artigo de periodico
Connexins and their channels in inflammation (2016)
Willebrord, Joost; Yanguas, Sara Crespo; Maes, Michaël; Decrock, Elke; Wang, Nan; Leybaert, Luc; Kwak, Brenda R; Green, Colin R; Cogliati, Bruno ; Vinken , Mathieu
Source: Critical Reviews in Biochemistry and Molecular Biology. Unidade: FMVZ
Subjects: CITOCINAS, CONEXINAS, INFLAMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WILLEBRORD, Joost et al. Connexins and their channels in inflammation. Critical Reviews in Biochemistry and Molecular Biology, v. 51, n. 6, p. 413-439, 2016Tradução . . Disponível em: https://doi.org/10.1080/10409238.2016.1204980. Acesso em: 10 nov. 2024.
APA
Willebrord, J., Yanguas, S. C., Maes, M., Decrock, E., Wang, N., Leybaert, L., et al. (2016). Connexins and their channels in inflammation. Critical Reviews in Biochemistry and Molecular Biology, 51( 6), 413-439. doi:10.1080/10409238.2016.1204980
NLM
Willebrord J, Yanguas SC, Maes M, Decrock E, Wang N, Leybaert L, Kwak BR, Green CR, Cogliati B, Vinken M. Connexins and their channels in inflammation [Internet]. Critical Reviews in Biochemistry and Molecular Biology. 2016 ; 51( 6): 413-439.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1080/10409238.2016.1204980
Vancouver
Willebrord J, Yanguas SC, Maes M, Decrock E, Wang N, Leybaert L, Kwak BR, Green CR, Cogliati B, Vinken M. Connexins and their channels in inflammation [Internet]. Critical Reviews in Biochemistry and Molecular Biology. 2016 ; 51( 6): 413-439.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1080/10409238.2016.1204980

USP Schools

ReP

Filtros

Authors

Subjects

Indexado em

Non normalized affiliation

Countries of institutions of collaboration