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Artigo de periodico
Artificial neural networks restriction for road accidents severity classification in unbalanced database (2019)
Chuerubim, Maria Lígia; Valejo, Alan; Bezerra, Barbara Stolte; Silva, Irineu da
Fonte: Sigma Journal of Engineering and Natural Sciences. Unidades: EESC, ICMC
Assuntos: ACIDENTES DE TRÂNSITO, RODOVIAS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHUERUBIM, Maria Lígia et al. Artificial neural networks restriction for road accidents severity classification in unbalanced database. Sigma Journal of Engineering and Natural Sciences, v. 37 n. 3, p. 927-940, 2019Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf. Acesso em: 23 jul. 2024.
APA
Chuerubim, M. L., Valejo, A., Bezerra, B. S., & Silva, I. da. (2019). Artificial neural networks restriction for road accidents severity classification in unbalanced database. Sigma Journal of Engineering and Natural Sciences, 37 n. 3, 927-940. Recuperado de https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf
NLM
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Artificial neural networks restriction for road accidents severity classification in unbalanced database [Internet]. Sigma Journal of Engineering and Natural Sciences. 2019 ; 37 n. 3 927-940.[citado 2024 jul. 23 ] Available from: https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf
Vancouver
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Artificial neural networks restriction for road accidents severity classification in unbalanced database [Internet]. Sigma Journal of Engineering and Natural Sciences. 2019 ; 37 n. 3 927-940.[citado 2024 jul. 23 ] Available from: https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf
Artigo de periodico
Limitation of classification tree models in investigating road accident severity (2019)
Chuerubim, Maria Lígia; Valejo, Alan; Bezerra, Barbara Stolte; Silva, Irineu da
Fonte: Revista de Engenharia Civil IMED. Unidades: EESC, ICMC
Assuntos: ACIDENTES DE TRÂNSITO, GRAVIDADE, RODOVIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHUERUBIM, Maria Lígia et al. Limitation of classification tree models in investigating road accident severity. Revista de Engenharia Civil IMED, v. 6, n. 2, p. 3-17, 2019Tradução . . Disponível em: http://dx.doi.org/10.18256/2358-6508.2019.v6i2.2927. Acesso em: 23 jul. 2024.
APA
Chuerubim, M. L., Valejo, A., Bezerra, B. S., & Silva, I. da. (2019). Limitation of classification tree models in investigating road accident severity. Revista de Engenharia Civil IMED, 6( 2), 3-17. doi:10.18256/2358-6508.2019.v6i2.2927
NLM
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Limitation of classification tree models in investigating road accident severity [Internet]. Revista de Engenharia Civil IMED. 2019 ; 6( 2): 3-17.[citado 2024 jul. 23 ] Available from: http://dx.doi.org/10.18256/2358-6508.2019.v6i2.2927
Vancouver
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Limitation of classification tree models in investigating road accident severity [Internet]. Revista de Engenharia Civil IMED. 2019 ; 6( 2): 3-17.[citado 2024 jul. 23 ] Available from: http://dx.doi.org/10.18256/2358-6508.2019.v6i2.2927
Artigo de periodico
Analysis of the viability of applying the principal components technique in multivariate data from traffic accidents (2018)
Chuerubim, Maria Lígia; Silva, Irineu da
Fonte: Sigma Journal of Engineering and Natural Sciences. Unidade: EESC
Assuntos: ACIDENTES DE TRÂNSITO, SEGURANÇA DE TRÁFEGO, COMPONENTES PRINCIPAIS, BANCO DE DADOS, RODOVIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHUERUBIM, Maria Lígia e SILVA, Irineu da. Analysis of the viability of applying the principal components technique in multivariate data from traffic accidents. Sigma Journal of Engineering and Natural Sciences, v. 36, n. 4, p. 1023-1032, 2018Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/37d8f66c-38bd-4a1e-a8b3-e787c2e40d70/sysno3166869_%5BArt%20per%5D%20Chuerubim_ANALYSIS%20OF%20THE%20VIABILITY%20OF%20APPLYING%20THE%20PRINCIPAL_removed.pdf. Acesso em: 23 jul. 2024.
APA
Chuerubim, M. L., & Silva, I. da. (2018). Analysis of the viability of applying the principal components technique in multivariate data from traffic accidents. Sigma Journal of Engineering and Natural Sciences, 36( 4), 1023-1032. Recuperado de https://repositorio.usp.br/directbitstream/37d8f66c-38bd-4a1e-a8b3-e787c2e40d70/sysno3166869_%5BArt%20per%5D%20Chuerubim_ANALYSIS%20OF%20THE%20VIABILITY%20OF%20APPLYING%20THE%20PRINCIPAL_removed.pdf
NLM
Chuerubim ML, Silva I da. Analysis of the viability of applying the principal components technique in multivariate data from traffic accidents [Internet]. Sigma Journal of Engineering and Natural Sciences. 2018 ; 36( 4): 1023-1032.[citado 2024 jul. 23 ] Available from: https://repositorio.usp.br/directbitstream/37d8f66c-38bd-4a1e-a8b3-e787c2e40d70/sysno3166869_%5BArt%20per%5D%20Chuerubim_ANALYSIS%20OF%20THE%20VIABILITY%20OF%20APPLYING%20THE%20PRINCIPAL_removed.pdf
Vancouver
Chuerubim ML, Silva I da. Analysis of the viability of applying the principal components technique in multivariate data from traffic accidents [Internet]. Sigma Journal of Engineering and Natural Sciences. 2018 ; 36( 4): 1023-1032.[citado 2024 jul. 23 ] Available from: https://repositorio.usp.br/directbitstream/37d8f66c-38bd-4a1e-a8b3-e787c2e40d70/sysno3166869_%5BArt%20per%5D%20Chuerubim_ANALYSIS%20OF%20THE%20VIABILITY%20OF%20APPLYING%20THE%20PRINCIPAL_removed.pdf

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