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Trabalho de evento
Combining clutter reduction methods for temporal network visualization (2022)
Ponciano, Jean Roberto ; Linhares, Claudio Douglas Gouveia ; Rocha, Luis Enrique Correa da ; Faria, Elaine R ; Travençolo, Bruno Augusto Nassif
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: VISUALIZAÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONCIANO, Jean Roberto et al. Combining clutter reduction methods for temporal network visualization. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3477314.3507018. Acesso em: 16 nov. 2024.
APA
Ponciano, J. R., Linhares, C. D. G., Rocha, L. E. C. da, Faria, E. R., & Travençolo, B. A. N. (2022). Combining clutter reduction methods for temporal network visualization. In Proceedings. New York: ACM. doi:10.1145/3477314.3507018
NLM
Ponciano JR, Linhares CDG, Rocha LEC da, Faria ER, Travençolo BAN. Combining clutter reduction methods for temporal network visualization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3477314.3507018
Vancouver
Ponciano JR, Linhares CDG, Rocha LEC da, Faria ER, Travençolo BAN. Combining clutter reduction methods for temporal network visualization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1145/3477314.3507018
Trabalho de evento
Novelty detection algorithm for data streams multi-class problems (2013)
Faria, Elaine R; Gama, João; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FARIA, Elaine R e GAMA, João e CARVALHO, André Carlos Ponce de Leon Ferreira de. Novelty detection algorithm for data streams multi-class problems. 2013, Anais.. New York: ACM, 2013. . Acesso em: 16 nov. 2024.
APA
Faria, E. R., Gama, J., & Carvalho, A. C. P. de L. F. de. (2013). Novelty detection algorithm for data streams multi-class problems. In Proceedings. New York: ACM.
NLM
Faria ER, Gama J, Carvalho ACP de LF de. Novelty detection algorithm for data streams multi-class problems. Proceedings. 2013 ;[citado 2024 nov. 16 ]
Vancouver
Faria ER, Gama J, Carvalho ACP de LF de. Novelty detection algorithm for data streams multi-class problems. Proceedings. 2013 ;[citado 2024 nov. 16 ]
Trabalho de evento-resumo
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters (2012)
Faria, Elaine R; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gama, João
Source: Poster. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FARIA, Elaine R et al. Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. 2012, Anais.. New York: ACM, 2012. . Acesso em: 16 nov. 2024.
APA
Faria, E. R., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Gama, J. (2012). Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. In Poster. New York: ACM.
NLM
Faria ER, Barros RC, Carvalho ACP de LF de, Gama J. Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. Poster. 2012 ;[citado 2024 nov. 16 ]
Vancouver
Faria ER, Barros RC, Carvalho ACP de LF de, Gama J. Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. Poster. 2012 ;[citado 2024 nov. 16 ]

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