Márquez, Renny; Weber, Richard; Carvalho, André Carlos Ponce de Leon Ferreira de 
Fonte: Proceedings. Nome do evento: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM. Unidade: ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, FATORIZAÇÃO DE MATRIZES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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MÁRQUEZ, Renny e WEBER, Richard e CARVALHO, André Carlos Ponce de Leon Ferreira de. A non-negative matrix factorization approach to update communities in temporal networks using node features. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3341161.3343677. Acesso em: 01 nov. 2024.APA
Márquez, R., Weber, R., & Carvalho, A. C. P. de L. F. de. (2019). A non-negative matrix factorization approach to update communities in temporal networks using node features. In Proceedings. New York: ACM. doi:10.1145/3341161.3343677NLM
Márquez R, Weber R, Carvalho ACP de LF de. A non-negative matrix factorization approach to update communities in temporal networks using node features [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1145/3341161.3343677Vancouver
Márquez R, Weber R, Carvalho ACP de LF de. A non-negative matrix factorization approach to update communities in temporal networks using node features [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1145/3341161.3343677
