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Artigo de periodico
Predicting temperatures in Brazilian states capitals via Machine Learning (2025)
Silva, Sidney T. da ; Gabrick, Enrique C ; Moraes, Ana Luiza R. de ; Viana, Ricardo L. ; Batista, Antonio M. ; Caldas, Iberê L ; Kurths, Jürgen
Source: European Physical Journal Special Topics. Unidade: IF
Subjects: MUDANÇA CLIMÁTICA, MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Sidney T. da et al. Predicting temperatures in Brazilian states capitals via Machine Learning. European Physical Journal Special Topics, 2025Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-025-01710-z. Acesso em: 13 dez. 2025.
APA
Silva, S. T. da, Gabrick, E. C., Moraes, A. L. R. de, Viana, R. L., Batista, A. M., Caldas, I. L., & Kurths, J. (2025). Predicting temperatures in Brazilian states capitals via Machine Learning. European Physical Journal Special Topics. doi:https://doi.org/10.1140/epjs/s11734-025-01710-z
NLM
Silva ST da, Gabrick EC, Moraes ALR de, Viana RL, Batista AM, Caldas IL, Kurths J. Predicting temperatures in Brazilian states capitals via Machine Learning [Internet]. European Physical Journal Special Topics. 2025 ;[citado 2025 dez. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-025-01710-z
Vancouver
Silva ST da, Gabrick EC, Moraes ALR de, Viana RL, Batista AM, Caldas IL, Kurths J. Predicting temperatures in Brazilian states capitals via Machine Learning [Internet]. European Physical Journal Special Topics. 2025 ;[citado 2025 dez. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-025-01710-z
Artigo de periodico
When climate variables improve the dengue forecasting: a machine learning approach (2024)
Silva, Sidney T da; Gabrick, Enrique Chipicoski ; Protachevicz, Paulo Ricardo ; Iarosz, Kelly Cristiane ; Caldas, Iberê Luiz ; Batista, Antonio Marcos ; Kurths, Jürgen
Source: European Physical Journal Special Topics A. Unidade: IF
Assunto: DENGUE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Sidney T da et al. When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A, 2024Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-024-01201-7. Acesso em: 13 dez. 2025.
APA
Silva, S. T. da, Gabrick, E. C., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Batista, A. M., & Kurths, J. (2024). When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A. doi:10.1140/epjs/s11734-024-01201-7
NLM
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2025 dez. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
Vancouver
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2025 dez. 13 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
Artigo de periodico
Fractional dynamics and recurrence analysis in cancer model (2023)
Gabrick, Enrique C.; Viana, Ricardo Luiz ; Caldas, Iberê Luiz
Source: Brazilian Journal of Physics. Unidade: IF
Subjects: ESTÁTICA, CAOS (SISTEMAS DINÂMICOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GABRICK, Enrique C. e VIANA, Ricardo Luiz e CALDAS, Iberê Luiz. Fractional dynamics and recurrence analysis in cancer model. Brazilian Journal of Physics, v. 53, 2023Tradução . . Disponível em: https://doi.org/10.1007/s13538-023-01359-w. Acesso em: 13 dez. 2025.
APA
Gabrick, E. C., Viana, R. L., & Caldas, I. L. (2023). Fractional dynamics and recurrence analysis in cancer model. Brazilian Journal of Physics, 53. doi:10.1007/s13538-023-01359-w
NLM
Gabrick EC, Viana RL, Caldas IL. Fractional dynamics and recurrence analysis in cancer model [Internet]. Brazilian Journal of Physics. 2023 ; 53[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s13538-023-01359-w
Vancouver
Gabrick EC, Viana RL, Caldas IL. Fractional dynamics and recurrence analysis in cancer model [Internet]. Brazilian Journal of Physics. 2023 ; 53[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s13538-023-01359-w
Trabalho de evento-resumo periodico
Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts (2022)
Protachevicz, Paulo Ricardo ; Hansen, Matheus ; Iarosz, Kelly Cristiane ; Caldas, Iberê Luiz ; Batista, Antonio Marcos
Source: Journal of Computational Neuroscience. Conference titles: Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts. Unidade: IF
Assunto: NEUROCIÊNCIAS
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ABNT
PROTACHEVICZ, Paulo Ricardo et al. Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts. Journal of Computational Neuroscience. Berlin: Springer. Disponível em: https://doi.org/10.1007/s10827-021-00801-9. Acesso em: 13 dez. 2025. , 2022
APA
Protachevicz, P. R., Hansen, M., Iarosz, K. C., Caldas, I. L., & Batista, A. M. (2022). Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts. Journal of Computational Neuroscience. Berlin: Springer. doi:10.1007/s10827-021-00801-9
NLM
Protachevicz PR, Hansen M, Iarosz KC, Caldas IL, Batista AM. Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts [Internet]. Journal of Computational Neuroscience. 2022 ; 50 273.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s10827-021-00801-9
Vancouver
Protachevicz PR, Hansen M, Iarosz KC, Caldas IL, Batista AM. Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts [Internet]. Journal of Computational Neuroscience. 2022 ; 50 273.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s10827-021-00801-9
Artigo de periodico
Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron (2022)
Protachevicz, Paulo Ricardo ; Batista, Antonio Marcos ; Bonin, C A; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane ; Batista, A M
Source: Cognitive Neurodynamics. Unidade: IF
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PROTACHEVICZ, Paulo Ricardo et al. Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron. Cognitive Neurodynamics, v. 16, p. 1461–1470, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11571-022-09789-z. Acesso em: 13 dez. 2025.
APA
Protachevicz, P. R., Batista, A. M., Bonin, C. A., Caldas, I. L., Iarosz, K. C., & Batista, A. M. (2022). Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron. Cognitive Neurodynamics, 16, 1461–1470. doi:10.1007/s11571-022-09789-z
NLM
Protachevicz PR, Batista AM, Bonin CA, Caldas IL, Iarosz KC, Batista AM. Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron [Internet]. Cognitive Neurodynamics. 2022 ; 16 1461–1470.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s11571-022-09789-z
Vancouver
Protachevicz PR, Batista AM, Bonin CA, Caldas IL, Iarosz KC, Batista AM. Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron [Internet]. Cognitive Neurodynamics. 2022 ; 16 1461–1470.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s11571-022-09789-z
Artigo de periodico
Equation of State of the Kappa-Distributed Solar Wind Particles in the Earth’s Magnetopause (2021)
Silveira, Francisco E M; Benetti, Monã Hegel; Caldas, Iberê Luiz
Unidade: IF
Assunto: MAGNETOSFERA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVEIRA, Francisco E M e BENETTI, Monã Hegel e CALDAS, Iberê Luiz. Equation of State of the Kappa-Distributed Solar Wind Particles in the Earth’s Magnetopause. v. 296, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11207-021-01858-6. Acesso em: 13 dez. 2025.
APA
Silveira, F. E. M., Benetti, M. H., & Caldas, I. L. (2021). Equation of State of the Kappa-Distributed Solar Wind Particles in the Earth’s Magnetopause, 296. doi:10.1007/s11207-021-01858-6
NLM
Silveira FEM, Benetti MH, Caldas IL. Equation of State of the Kappa-Distributed Solar Wind Particles in the Earth’s Magnetopause [Internet]. 2021 ; 296[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s11207-021-01858-6
Vancouver
Silveira FEM, Benetti MH, Caldas IL. Equation of State of the Kappa-Distributed Solar Wind Particles in the Earth’s Magnetopause [Internet]. 2021 ; 296[citado 2025 dez. 13 ] Available from: https://doi.org/10.1007/s11207-021-01858-6

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