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Filtros : "Berton, Lilian" "ICMC-SCC" "2017" Removidos: "1939" "ENERGIA" Limpar

Filtros

Artigo de periodico
RGCLI: robust graph that considers labeled instances for semi-supervised learning (2017)
Berton, Lilian; Faleiros, Thiago de Paulo; Valejo, Alan; Valverde-Rebaza, Jorge; Lopes, Alneu de Andrade
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTON, Lilian et al. RGCLI: robust graph that considers labeled instances for semi-supervised learning. Neurocomputing, v. 226, p. 238-248, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2016.11.053. Acesso em: 15 nov. 2024.
APA
Berton, L., Faleiros, T. de P., Valejo, A., Valverde-Rebaza, J., & Lopes, A. de A. (2017). RGCLI: robust graph that considers labeled instances for semi-supervised learning. Neurocomputing, 226, 238-248. doi:10.1016/j.neucom.2016.11.053
NLM
Berton L, Faleiros T de P, Valejo A, Valverde-Rebaza J, Lopes A de A. RGCLI: robust graph that considers labeled instances for semi-supervised learning [Internet]. Neurocomputing. 2017 ; 226 238-248.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Vancouver
Berton L, Faleiros T de P, Valejo A, Valverde-Rebaza J, Lopes A de A. RGCLI: robust graph that considers labeled instances for semi-supervised learning [Internet]. Neurocomputing. 2017 ; 226 238-248.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Trabalho de evento-anais periodico
Network sampling based on centrality measures for relational classification (2017)
Berton, Lilian; Vega-Oliveros, Didier A; Valverde-Rebaza, Jorge; Silva, André Tavares da; Lopes, Alneu de Andrade
Source: Communications in Computer and Information Science. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTON, Lilian et al. Network sampling based on centrality measures for relational classification. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-55209-5_4. Acesso em: 15 nov. 2024. , 2017
APA
Berton, L., Vega-Oliveros, D. A., Valverde-Rebaza, J., Silva, A. T. da, & Lopes, A. de A. (2017). Network sampling based on centrality measures for relational classification. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-319-55209-5_4
NLM
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. Network sampling based on centrality measures for relational classification [Internet]. Communications in Computer and Information Science. 2017 ; 656 43-56.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/978-3-319-55209-5_4
Vancouver
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. Network sampling based on centrality measures for relational classification [Internet]. Communications in Computer and Information Science. 2017 ; 656 43-56.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/978-3-319-55209-5_4

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