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Artigo de periodico
Learning graph representation with randomized neural network for dynamic texture classification (2022)
Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Manzanera, Antoine ; Bruno, Odemir Martinez
Fonte: Applied Soft Computing. Unidades: IFSC, ICMC
Assuntos: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 27 nov. 2025.
APA
Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
NLM
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Vancouver
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
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
Fonte: Journal of Machine Learning Research. Unidade: ICMC
Assuntos: 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: 27 nov. 2025.
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 2025 nov. 27 ] 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 2025 nov. 27 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
Trabalho de evento
On ensemble techniques for data stream regression (2020)
Gomes, Heitor Murilo ; Montiel, Jacob ; Mastelini, Saulo Martiello ; Pfahringer, Bernhard ; Bifet, Albert
Fonte: Proceedings. Nome do evento: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Heitor Murilo et al. On ensemble techniques for data stream regression. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9206756. Acesso em: 27 nov. 2025.
APA
Gomes, H. M., Montiel, J., Mastelini, S. M., Pfahringer, B., & Bifet, A. (2020). On ensemble techniques for data stream regression. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN48605.2020.9206756
NLM
Gomes HM, Montiel J, Mastelini SM, Pfahringer B, Bifet A. On ensemble techniques for data stream regression [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206756
Vancouver
Gomes HM, Montiel J, Mastelini SM, Pfahringer B, Bifet A. On ensemble techniques for data stream regression [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206756

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