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Artigo de periodico
Revisiting predictions of movie economic success: random Forest applied to profits (2023)
Souza, Thais Luiza Donega e ; Nishijima, Marislei ; Pires, Ricardo
Source: Multimedia Tools and Applications. Unidades: IRI, EACH
Subjects: INDÚSTRIA CINEMATOGRÁFICA, PRODUÇÃO CINEMATOGRÁFICA, APRENDIZADO COMPUTACIONAL, SUCESSO NOS NEGÓCIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Thais Luiza Donega e e NISHIJIMA, Marislei e PIRES, Ricardo. Revisiting predictions of movie economic success: random Forest applied to profits. Multimedia Tools and Applications, p. 1-24, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-15169-4. Acesso em: 07 jun. 2024.
APA
Souza, T. L. D. e, Nishijima, M., & Pires, R. (2023). Revisiting predictions of movie economic success: random Forest applied to profits. Multimedia Tools and Applications, 1-24. doi:10.1007/s11042-023-15169-4
NLM
Souza TLD e, Nishijima M, Pires R. Revisiting predictions of movie economic success: random Forest applied to profits [Internet]. Multimedia Tools and Applications. 2023 ; 1-24.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1007/s11042-023-15169-4
Vancouver
Souza TLD e, Nishijima M, Pires R. Revisiting predictions of movie economic success: random Forest applied to profits [Internet]. Multimedia Tools and Applications. 2023 ; 1-24.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1007/s11042-023-15169-4
Artigo de periodico
The NLRP3 inflammasome in stress response: another target for the promiscuous cannabidiol (2023)
Hartmann, Alice; Vila-Verde, Carla ; Guimarães, Francisco Silveira ; Wegener, Sâmia Regiane Lourenço Joca ; Lisboa, Sabrina Francesca de Souza
Source: Current Neuropharmacology. Unidades: FMRP, FCFRP, IRI
Subjects: CANABINOIDES, INFLAMAÇÃO, TECIDO NERVOSO, DEGENERAÇÃO NEURAL, DOENÇAS DO SISTEMA NERVOSO, TRANSTORNOS PSICÓTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HARTMANN, Alice et al. The NLRP3 inflammasome in stress response: another target for the promiscuous cannabidiol. Current Neuropharmacology, v. 21, n. 2, p. 284-308, 2023Tradução . . Disponível em: https://doi.org/10.2174/1570159X20666220411101217. Acesso em: 07 jun. 2024.
APA
Hartmann, A., Vila-Verde, C., Guimarães, F. S., Wegener, S. R. L. J., & Lisboa, S. F. de S. (2023). The NLRP3 inflammasome in stress response: another target for the promiscuous cannabidiol. Current Neuropharmacology, 21( 2), 284-308. doi:10.2174/1570159X20666220411101217
NLM
Hartmann A, Vila-Verde C, Guimarães FS, Wegener SRLJ, Lisboa SF de S. The NLRP3 inflammasome in stress response: another target for the promiscuous cannabidiol [Internet]. Current Neuropharmacology. 2023 ; 21( 2): 284-308.[citado 2024 jun. 07 ] Available from: https://doi.org/10.2174/1570159X20666220411101217
Vancouver
Hartmann A, Vila-Verde C, Guimarães FS, Wegener SRLJ, Lisboa SF de S. The NLRP3 inflammasome in stress response: another target for the promiscuous cannabidiol [Internet]. Current Neuropharmacology. 2023 ; 21( 2): 284-308.[citado 2024 jun. 07 ] Available from: https://doi.org/10.2174/1570159X20666220411101217
Artigo de periodico
Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods (2022)
Jaramillo, Alfredo ; Guiraldello, Rafael Trevisanuto ; Sanchez, Stevens Paz ; Ausas, Roberto Federico ; Sousa, Fabricio Simeoni de ; Pereira, Felipe; Buscaglia, Gustavo Carlos
Source: Computational Geosciences. Unidades: ICMC, IRI
Subjects: AVALIAÇÃO DE DESEMPENHO, ESCOAMENTO BIFÁSICO, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JARAMILLO, Alfredo et al. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods. Computational Geosciences, v. 26, p. 481-501, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10596-022-10131-z. Acesso em: 07 jun. 2024.
APA
Jaramillo, A., Guiraldello, R. T., Sanchez, S. P., Ausas, R. F., Sousa, F. S. de, Pereira, F., & Buscaglia, G. C. (2022). Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods. Computational Geosciences, 26, 481-501. doi:10.1007/s10596-022-10131-z
NLM
Jaramillo A, Guiraldello RT, Sanchez SP, Ausas RF, Sousa FS de, Pereira F, Buscaglia GC. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods [Internet]. Computational Geosciences. 2022 ; 26 481-501.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1007/s10596-022-10131-z
Vancouver
Jaramillo A, Guiraldello RT, Sanchez SP, Ausas RF, Sousa FS de, Pereira F, Buscaglia GC. Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods [Internet]. Computational Geosciences. 2022 ; 26 481-501.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1007/s10596-022-10131-z

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