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Artigo de periodico
LargeNetVis: visual exploration of large temporal networks based on community taxonomies (2023)
Linhares, Claudio Douglas Gouveia ; Ponciano, Jean Roberto ; Pedro, Diogenes Silva; Rocha, Luis Enrique Correa da ; Traina, Agma Juci Machado ; Poco, Jorge
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINHARES, Claudio Douglas Gouveia et al. LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 203-213, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209477. Acesso em: 26 jun. 2024.
APA
Linhares, C. D. G., Ponciano, J. R., Pedro, D. S., Rocha, L. E. C. da, Traina, A. J. M., & Poco, J. (2023). LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 203-213. doi:10.1109/TVCG.2022.3209477
NLM
Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
Vancouver
Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
Artigo de periodico
LegalVis: exploring and inferring precedent citations in legal documents (2023)
Domingues, Lucas Emanuel Resck ; Ponciano, Jean Roberto ; Poco, Jorge ; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, VISUALIZAÇÃO, SISTEMA JUDICIÁRIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DOMINGUES, Lucas Emanuel Resck et al. LegalVis: exploring and inferring precedent citations in legal documents. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. 6, p. 3105-3120, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3152450. Acesso em: 26 jun. 2024.
APA
Domingues, L. E. R., Ponciano, J. R., Poco, J., & Nonato, L. G. (2023). LegalVis: exploring and inferring precedent citations in legal documents. IEEE Transactions on Visualization and Computer Graphics, 29( 6), 3105-3120. doi:10.1109/TVCG.2022.3152450
NLM
Domingues LER, Ponciano JR, Poco J, Nonato LG. LegalVis: exploring and inferring precedent citations in legal documents [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 6): 3105-3120.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/TVCG.2022.3152450
Vancouver
Domingues LER, Ponciano JR, Poco J, Nonato LG. LegalVis: exploring and inferring precedent citations in legal documents [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 6): 3105-3120.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/TVCG.2022.3152450
Artigo de periodico
ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making (2023)
Linhares, Claudio Douglas Gouveia ; Lima, Daniel Mário de ; Ponciano, Jean Roberto ; Olivatto, Mauro Marcel ; Gutierrez, Marco Antonio ; Poco, Jorge ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, INTERAÇÃO USUÁRIO-COMPUTADOR, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINHARES, Claudio Douglas Gouveia et al. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. 10, p. 4031-4046, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3175626. Acesso em: 26 jun. 2024.
APA
Linhares, C. D. G., Lima, D. M. de, Ponciano, J. R., Olivatto, M. M., Gutierrez, M. A., Poco, J., et al. (2023). ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making. IEEE Transactions on Visualization and Computer Graphics, 29( 10), 4031-4046. doi:10.1109/TVCG.2022.3175626
NLM
Linhares CDG, Lima DM de, Ponciano JR, Olivatto MM, Gutierrez MA, Poco J, Traina Junior C, Traina AJM. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 10): 4031-4046.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/TVCG.2022.3175626
Vancouver
Linhares CDG, Lima DM de, Ponciano JR, Olivatto MM, Gutierrez MA, Poco J, Traina Junior C, Traina AJM. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 10): 4031-4046.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/TVCG.2022.3175626
Artigo de periodico
Psychological barriers to sustainable dietary patterns: findings from meat intake behaviour (2022)
Lourenço, Carlos Eduardo; Nunes-Galbes, Nadine Marques; Borgheresi, Riccardo; Cezarino, Luciana Oranges; Martins, Flavio Pinheiro; Amui, Lara Bartocci Liboni
Source: Sustainability. Unidades: FMRP, FEARP, FSP
Subjects: COMPORTAMENTO ALIMENTAR, PROTEÍNAS, PSICOLOGIA, DIETA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOURENÇO, Carlos Eduardo et al. Psychological barriers to sustainable dietary patterns: findings from meat intake behaviour. Sustainability, v. 14, n. 4, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.3390/su14042199. Acesso em: 26 jun. 2024.
APA
Lourenço, C. E., Nunes-Galbes, N. M., Borgheresi, R., Cezarino, L. O., Martins, F. P., & Amui, L. B. L. (2022). Psychological barriers to sustainable dietary patterns: findings from meat intake behaviour. Sustainability, 14( 4), 1-16. doi:10.3390/su14042199
NLM
Lourenço CE, Nunes-Galbes NM, Borgheresi R, Cezarino LO, Martins FP, Amui LBL. Psychological barriers to sustainable dietary patterns: findings from meat intake behaviour [Internet]. Sustainability. 2022 ; 14( 4): 1-16.[citado 2024 jun. 26 ] Available from: https://doi.org/10.3390/su14042199
Vancouver
Lourenço CE, Nunes-Galbes NM, Borgheresi R, Cezarino LO, Martins FP, Amui LBL. Psychological barriers to sustainable dietary patterns: findings from meat intake behaviour [Internet]. Sustainability. 2022 ; 14( 4): 1-16.[citado 2024 jun. 26 ] Available from: https://doi.org/10.3390/su14042199
Trabalho de evento
17K-Graffiti: spatial and crime data assessments in São Paulo city (2022)
Lavi, Bahram ; Tokuda, Eric Keiji ; Moreno-Vera, Felipe; Nonato, Luis Gustavo ; Silva, Claudio Teixeira ; Poco, Jorge
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: ANÁLISE DE DADOS, CRIME, GRAFFITI, SÃO PAULO (SP)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAVI, Bahram et al. 17K-Graffiti: spatial and crime data assessments in São Paulo city. 2022, Anais.. Lisboa: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, 2022. Disponível em: https://doi.org/10.5220/0010883300003124. Acesso em: 26 jun. 2024.
APA
Lavi, B., Tokuda, E. K., Moreno-Vera, F., Nonato, L. G., Silva, C. T., & Poco, J. (2022). 17K-Graffiti: spatial and crime data assessments in São Paulo city. In Proceedings. Lisboa: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.5220/0010883300003124
NLM
Lavi B, Tokuda EK, Moreno-Vera F, Nonato LG, Silva CT, Poco J. 17K-Graffiti: spatial and crime data assessments in São Paulo city [Internet]. Proceedings. 2022 ;[citado 2024 jun. 26 ] Available from: https://doi.org/10.5220/0010883300003124
Vancouver
Lavi B, Tokuda EK, Moreno-Vera F, Nonato LG, Silva CT, Poco J. 17K-Graffiti: spatial and crime data assessments in São Paulo city [Internet]. Proceedings. 2022 ;[citado 2024 jun. 26 ] Available from: https://doi.org/10.5220/0010883300003124
Trabalho de evento
DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content (2021)
Pocco, Ximena; Poco, Jorge ; Paula, Rogerio de; Nonato, Luis Gustavo ; Gomez-Nieto, Erick Mauricio
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, VISUALIZAÇÃO, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POCCO, Ximena et al. DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00027. Acesso em: 26 jun. 2024.
APA
Pocco, X., Poco, J., Paula, R. de, Nonato, L. G., & Gomez-Nieto, E. M. (2021). DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00027
NLM
Pocco X, Poco J, Paula R de, Nonato LG, Gomez-Nieto EM. DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content [Internet]. Proceedings. 2021 ;[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00027
Vancouver
Pocco X, Poco J, Paula R de, Nonato LG, Gomez-Nieto EM. DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content [Internet]. Proceedings. 2021 ;[citado 2024 jun. 26 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00027

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