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Filtros : "ANÁLISE DE SÉRIES TEMPORAIS" "2021" "Financiamento NSF" Limpar

Filtros

Artigo de periodico
Efficient unsupervised drift detector for fast and high-dimensional data streams (2021)
Souza, Vinícius Mourão Alves de ; Parmezan, Antonio Rafael Sabino ; Chowdhury, Farhan A.; Mueen, Abdullah
Source: Knowledge and Information Systems. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Vinícius Mourão Alves de et al. Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, v. 63, n. 6, p. 1497-1527, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10115-021-01564-6. Acesso em: 17 nov. 2024.
APA
Souza, V. M. A. de, Parmezan, A. R. S., Chowdhury, F. A., & Mueen, A. (2021). Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, 63( 6), 1497-1527. doi:10.1007/s10115-021-01564-6
NLM
Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
Vancouver
Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
Artigo de periodico
STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses (2021)
Zhao, Zhenge ; Motta, Danilo Andrade ; Berger, Matthew; Levine, Joshua Aaron ; Kuzucu, Ismail B ; Fleischman, Robert B; Paiva, Afonso ; Scheidegger, Carlos
Source: Information Visualization. Unidade: ICMC
Subjects: SIMULAÇÃO (ESTATÍSTICA), ANÁLISE DE SÉRIES TEMPORAIS, TERREMOTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZHAO, Zhenge et al. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses. Information Visualization, v. 20, n. 4, p. 263-282, 2021Tradução . . Disponível em: https://doi.org/10.1177/14738716211038618. Acesso em: 17 nov. 2024.
APA
Zhao, Z., Motta, D. A., Berger, M., Levine, J. A., Kuzucu, I. B., Fleischman, R. B., et al. (2021). STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses. Information Visualization, 20( 4), 263-282. doi:10.1177/14738716211038618
NLM
Zhao Z, Motta DA, Berger M, Levine JA, Kuzucu IB, Fleischman RB, Paiva A, Scheidegger C. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses [Internet]. Information Visualization. 2021 ; 20( 4): 263-282.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1177/14738716211038618
Vancouver
Zhao Z, Motta DA, Berger M, Levine JA, Kuzucu IB, Fleischman RB, Paiva A, Scheidegger C. STFT-LDA: an algorithm to facilitate the visual analysis of building seismic responses [Internet]. Information Visualization. 2021 ; 20( 4): 263-282.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1177/14738716211038618

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