ReP USP - Resultado da busca

Filtros : "Anghinoni, Leandro" "COVID-19" Limpar

Filtros

USP affiliated authors
- anghinoni, leandro (~2)
- liang, zhao (~1)
- silva, thiago christiano (~1)
Date published
- 2023 (~2)
Subjects
- covid-19 (2)
- aprendizado computacional (1)
- inteligência artificial (1)
- radiografia (1)
- reconhecimento de imagem (1)

Indexado em
- indexado no scopus (1)
- indexado no web of science (1)
- indexado no: current contents (1)
- indexado no: embase (1)
- indexado no: medline (1)

Artigo de periodico
Analysis of the effectiveness of public health measures on COVID-19 transmission (2023)
Silva, Thiago Christiano ; Anghinoni, Leandro ; Chagas, Cassia Pereira das; Zhao, Liang ; Tabak, Benjamin Miranda
Source: International Journal of Environmental Research and Public Health. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COVID-19, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano et al. Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, v. 20, n. 18, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/ijerph20186758. Acesso em: 07 out. 2024.
APA
Silva, T. C., Anghinoni, L., Chagas, C. P. das, Zhao, L., & Tabak, B. M. (2023). Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, 20( 18), 1-19. doi:10.3390/ijerph20186758
NLM
Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 out. 07 ] Available from: https://doi.org/10.3390/ijerph20186758
Vancouver
Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 out. 07 ] Available from: https://doi.org/10.3390/ijerph20186758
Artigo de periodico
Characterizing data patterns with core-periphery network modeling (2023)
Jianglong, Yan; Anghinoni, Leandro ; Yu-Tao, Zhu; Weiguang, Liu; Gen, Li; Qiusheng, Zheng; Liang, Zhao
Source: Journal of Computational Science. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, RADIOGRAFIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JIANGLONG, Yan et al. Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, v. 66, n. Ja 2023, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jocs.2022.101912. Acesso em: 07 out. 2024.
APA
Jianglong, Y., Anghinoni, L., Yu-Tao, Z., Weiguang, L., Gen, L., Qiusheng, Z., & Liang, Z. (2023). Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, 66( Ja 2023), 1-13. doi:10.1016/j.jocs.2022.101912
NLM
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912
Vancouver
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912

Digital Library of Intellectual Production of Universidade de São Paulo 2012 - 2024