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Artigo de periodico
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data (2023)
Rodrigues, Natália Villa Nova ; Abramo, L. Raul ; Hirata, Nina Sumiko Tomita
Source: Machine Learning: Science and Technology. Unidades: IF, IME
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS, ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Natália Villa Nova e ABRAMO, L. Raul e HIRATA, Nina Sumiko Tomita. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, v. 4, n. artigo 045019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/ad0285. Acesso em: 03 ago. 2024.
APA
Rodrigues, N. V. N., Abramo, L. R., & Hirata, N. S. T. (2023). The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4( artigo 045019), 1-26. doi:10.1088/2632-2153/ad0285
NLM
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
Vancouver
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
Artigo de periodico
The effect of combination functions on the complexity of relational Bayesian networks (2017)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidades: IME, EP
Subjects: CIÊNCIA DA COMPUTAÇÃO, TEORIA DA COMPUTAÇÃO, ANÁLISE DE ALGORITMOS, ESTATÍSTICA, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning, v. 85, p. 178-195, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2017.03.014. Acesso em: 03 ago. 2024.
APA
Mauá, D. D., & Cozman, F. G. (2017). The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning, 85, 178-195. doi:10.1016/j.ijar.2017.03.014
NLM
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 85 178-195.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1016/j.ijar.2017.03.014
Vancouver
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. International Journal of Approximate Reasoning. 2017 ; 85 178-195.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1016/j.ijar.2017.03.014
Artigo de periodico
ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder (2017)
Vidal, Maciel Calebe ; Sato, João Ricardo ; Balardin, Joana Bisol ; Takahashi, Daniel Yasumasa ; Fujita, André
Source: Frontiers in Neuroscience. Unidade: IME
Subjects: CIÊNCIA DA COMPUTAÇÃO, CIÊNCIA DA COMPUTAÇÃO, ESTATÍSTICA, ANÁLISE DE VARIÂNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIDAL, Maciel Calebe et al. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder. Frontiers in Neuroscience, v. 11, p. 1-8, 2017Tradução . . Disponível em: https://doi.org/10.3389/fnins.2017.00016. Acesso em: 03 ago. 2024.
APA
Vidal, M. C., Sato, J. R., Balardin, J. B., Takahashi, D. Y., & Fujita, A. (2017). ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder. Frontiers in Neuroscience, 11, 1-8. doi:10.3389/fnins.2017.00016
NLM
Vidal MC, Sato JR, Balardin JB, Takahashi DY, Fujita A. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder [Internet]. Frontiers in Neuroscience. 2017 ;11 1-8.[citado 2024 ago. 03 ] Available from: https://doi.org/10.3389/fnins.2017.00016
Vancouver
Vidal MC, Sato JR, Balardin JB, Takahashi DY, Fujita A. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder [Internet]. Frontiers in Neuroscience. 2017 ;11 1-8.[citado 2024 ago. 03 ] Available from: https://doi.org/10.3389/fnins.2017.00016
Artigo de periodico
Testing the independence of Poisson variates under the Holgate bivariate distribution: the power of a new evidence test (2002)
Stern, Julio Michael ; Zacks, Shelemyahu
Source: Statistics & Probability Letters. Unidade: IME
Subjects: ESTATÍSTICA, INFERÊNCIA PARAMÉTRICA, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
STERN, Julio Michael e ZACKS, Shelemyahu. Testing the independence of Poisson variates under the Holgate bivariate distribution: the power of a new evidence test. Statistics & Probability Letters, v. 60, n. 3, p. 313-320, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0167-7152(02)00314-0. Acesso em: 03 ago. 2024.
APA
Stern, J. M., & Zacks, S. (2002). Testing the independence of Poisson variates under the Holgate bivariate distribution: the power of a new evidence test. Statistics & Probability Letters, 60( 3), 313-320. doi:10.1016/s0167-7152(02)00314-0
NLM
Stern JM, Zacks S. Testing the independence of Poisson variates under the Holgate bivariate distribution: the power of a new evidence test [Internet]. Statistics & Probability Letters. 2002 ; 60( 3): 313-320.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1016/s0167-7152(02)00314-0
Vancouver
Stern JM, Zacks S. Testing the independence of Poisson variates under the Holgate bivariate distribution: the power of a new evidence test [Internet]. Statistics & Probability Letters. 2002 ; 60( 3): 313-320.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1016/s0167-7152(02)00314-0

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