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Artigo de periodico
Regression modeling for cure factors on uterine cancer data using the reparametrized defective generalized Gompertz distribution (2025)
Silva Neto, Dionisio; Louzada, Francisco ; Tomazella, Vera Lucia Damasceno
Source: Mathematical and Computational Applications. Unidades: ICMC, Interinstitucional de Pós-Graduação em Estatística
Subjects: MÉTODOS MCMC, ANÁLISE DE SOBREVIVÊNCIA, NEOPLASIAS, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA NETO, Dionisio e LOUZADA, Francisco e TOMAZELLA, Vera Lucia Damasceno. Regression modeling for cure factors on uterine cancer data using the reparametrized defective generalized Gompertz distribution. Mathematical and Computational Applications, v. 30, n. 5, p. 1-21, 2025Tradução . . Disponível em: https://doi.org/10.3390/mca30050093. Acesso em: 02 dez. 2025.
APA
Silva Neto, D., Louzada, F., & Tomazella, V. L. D. (2025). Regression modeling for cure factors on uterine cancer data using the reparametrized defective generalized Gompertz distribution. Mathematical and Computational Applications, 30( 5), 1-21. doi:10.3390/mca30050093
NLM
Silva Neto D, Louzada F, Tomazella VLD. Regression modeling for cure factors on uterine cancer data using the reparametrized defective generalized Gompertz distribution [Internet]. Mathematical and Computational Applications. 2025 ; 30( 5): 1-21.[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca30050093
Vancouver
Silva Neto D, Louzada F, Tomazella VLD. Regression modeling for cure factors on uterine cancer data using the reparametrized defective generalized Gompertz distribution [Internet]. Mathematical and Computational Applications. 2025 ; 30( 5): 1-21.[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca30050093
Artigo de periodico
Many-objectives optimization: a machine learning approach for reducing the number of objectives (2023)
Gaspar-Cunha, António ; Costa, Paulo; Monaco, Francisco José ; Delbem, Alexandre Cláudio Botazzo
Source: Mathematical and Computational Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BENCHMARKS, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GASPAR-CUNHA, António et al. Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, v. 28, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/mca28010017. Acesso em: 02 dez. 2025.
APA
Gaspar-Cunha, A., Costa, P., Monaco, F. J., & Delbem, A. C. B. (2023). Many-objectives optimization: a machine learning approach for reducing the number of objectives. Mathematical and Computational Applications, 28, 1-19. doi:10.3390/mca28010017
NLM
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca28010017
Vancouver
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Many-objectives optimization: a machine learning approach for reducing the number of objectives [Internet]. Mathematical and Computational Applications. 2023 ; 28 1-19.[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca28010017
Artigo de periodico
Analytical solutions of microplastic particles dispersion using a lotka–volterra predator–prey model with time-varying intraspecies coefficients (2022)
Santos, Lindomar Soares dos ; Alcarás, José Renato; Costa, Lucas Murilo da; Simões, Mateus Mendonça Ramos ; Martinez, Alexandre Souto
Source: Mathematical and Computational Applications. Unidades: FFCLRP, FMRP
Subjects: PLÁSTICOS, CONTAMINAÇÃO AMBIENTAL, POLUIÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Lindomar Soares dos et al. Analytical solutions of microplastic particles dispersion using a lotka–volterra predator–prey model with time-varying intraspecies coefficients. Mathematical and Computational Applications, v. 27, n. 4, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.3390/mca27040066. Acesso em: 02 dez. 2025.
APA
Santos, L. S. dos, Alcarás, J. R., Costa, L. M. da, Simões, M. M. R., & Martinez, A. S. (2022). Analytical solutions of microplastic particles dispersion using a lotka–volterra predator–prey model with time-varying intraspecies coefficients. Mathematical and Computational Applications, 27( 4), 1-12. doi:10.3390/mca27040066
NLM
Santos LS dos, Alcarás JR, Costa LM da, Simões MMR, Martinez AS. Analytical solutions of microplastic particles dispersion using a lotka–volterra predator–prey model with time-varying intraspecies coefficients [Internet]. Mathematical and Computational Applications. 2022 ; 27( 4): 1-12.[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca27040066
Vancouver
Santos LS dos, Alcarás JR, Costa LM da, Simões MMR, Martinez AS. Analytical solutions of microplastic particles dispersion using a lotka–volterra predator–prey model with time-varying intraspecies coefficients [Internet]. Mathematical and Computational Applications. 2022 ; 27( 4): 1-12.[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca27040066
Artigo de periodico
Finite symmetries in agent-based epidemic models (2019)
Nakamura, Gilberto Medeiros ; Monteiro, Ana Carolina Pedrosa ; Cardoso, George Cunha; Martinez, Alexandre Souto
Source: Mathematical and Computational Applications. Unidade: FFCLRP
Subjects: MODELOS EPIDEMIOLOGICOS, ALGORITMOS, CIÊNCIA DA COMPUTAÇÃO, MODELOS MATEMÁTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Gilberto Medeiros et al. Finite symmetries in agent-based epidemic models. Mathematical and Computational Applications, v. 24, n. 2, p. [17] , 2019Tradução . . Disponível em: https://doi.org/10.3390/mca24020044. Acesso em: 02 dez. 2025.
APA
Nakamura, G. M., Monteiro, A. C. P., Cardoso, G. C., & Martinez, A. S. (2019). Finite symmetries in agent-based epidemic models. Mathematical and Computational Applications, 24( 2), [17] . doi:10.3390/mca24020044
NLM
Nakamura GM, Monteiro ACP, Cardoso GC, Martinez AS. Finite symmetries in agent-based epidemic models [Internet]. Mathematical and Computational Applications. 2019 ; 24( 2): [17] .[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca24020044
Vancouver
Nakamura GM, Monteiro ACP, Cardoso GC, Martinez AS. Finite symmetries in agent-based epidemic models [Internet]. Mathematical and Computational Applications. 2019 ; 24( 2): [17] .[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca24020044
Artigo de periodico
Inadequate sampling rates can undermine the reliability of ecological interaction estimation (2019)
Cabella, Brenno; Meloni, Fernando ; Martinez, Alexandre Souto
Source: Mathematical and Computational Applications. Unidade: FFCLRP
Subjects: ECOLOGIA DE POPULAÇÕES, AMOSTRAGEM, COMPETIÇÃO ANIMAL, COMPORTAMENTO ANIMAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CABELLA, Brenno e MELONI, Fernando e MARTINEZ, Alexandre Souto. Inadequate sampling rates can undermine the reliability of ecological interaction estimation. Mathematical and Computational Applications, v. 24, n. 2, p. [7] , 2019Tradução . . Disponível em: https://doi.org/10.3390/mca24020048. Acesso em: 02 dez. 2025.
APA
Cabella, B., Meloni, F., & Martinez, A. S. (2019). Inadequate sampling rates can undermine the reliability of ecological interaction estimation. Mathematical and Computational Applications, 24( 2), [7] . doi:10.3390/mca24020048
NLM
Cabella B, Meloni F, Martinez AS. Inadequate sampling rates can undermine the reliability of ecological interaction estimation [Internet]. Mathematical and Computational Applications. 2019 ; 24( 2): [7] .[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca24020048
Vancouver
Cabella B, Meloni F, Martinez AS. Inadequate sampling rates can undermine the reliability of ecological interaction estimation [Internet]. Mathematical and Computational Applications. 2019 ; 24( 2): [7] .[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca24020048
Artigo de periodico
Exact evaluation of statistical moments in superradiant emission (2019)
Nakamura, Gilberto Medeiros ; Cabella, Brenno; Martinez, Alexandre Souto
Source: Mathematical and Computational Applications. Unidade: FFCLRP
Subjects: PROCESSOS ESTOCÁSTICOS, COMPUTAÇÃO QUÂNTICA, RADIAÇÃO ELETROMAGNÉTICA, ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Gilberto Medeiros e CABELLA, Brenno e MARTINEZ, Alexandre Souto. Exact evaluation of statistical moments in superradiant emission. Mathematical and Computational Applications, v. 24, n. 2, p. [9] , 2019Tradução . . Disponível em: https://doi.org/10.3390/mca24020066. Acesso em: 02 dez. 2025.
APA
Nakamura, G. M., Cabella, B., & Martinez, A. S. (2019). Exact evaluation of statistical moments in superradiant emission. Mathematical and Computational Applications, 24( 2), [9] . doi:10.3390/mca24020066
NLM
Nakamura GM, Cabella B, Martinez AS. Exact evaluation of statistical moments in superradiant emission [Internet]. Mathematical and Computational Applications. 2019 ; 24( 2): [9] .[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca24020066
Vancouver
Nakamura GM, Cabella B, Martinez AS. Exact evaluation of statistical moments in superradiant emission [Internet]. Mathematical and Computational Applications. 2019 ; 24( 2): [9] .[citado 2025 dez. 02 ] Available from: https://doi.org/10.3390/mca24020066

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