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Filtros : "Communications in Computer and Information Science" "RECONHECIMENTO DE PADRÕES" Removido: "Braun, Torsten" Limpar

Filtros

Trabalho de evento-anais periodico
Motor learning and machine learning: predicting the amount of sessions to learn the tracing task (2019)
Souza, Eduardo Dorneles Ferreira de; Santos, Moises Rocha dos ; Silva, Lucas Cléopas Costa da; Oliveira, Alexandre César Muniz de; Almeida Neto, Areolino de; Ribeiro, Paulo Rogério de Almeida
Fonte: Communications in Computer and Information Science. Nome do evento: Latin American Workshop on Computational Neuroscience - LAWCN. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, REDES NEURAIS, REABILITAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Eduardo Dorneles Ferreira de et al. Motor learning and machine learning: predicting the amount of sessions to learn the tracing task. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-36636-0_2. Acesso em: 07 nov. 2025. , 2019
APA
Souza, E. D. F. de, Santos, M. R. dos, Silva, L. C. C. da, Oliveira, A. C. M. de, Almeida Neto, A. de, & Ribeiro, P. R. de A. (2019). Motor learning and machine learning: predicting the amount of sessions to learn the tracing task. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-36636-0_2
NLM
Souza EDF de, Santos MR dos, Silva LCC da, Oliveira ACM de, Almeida Neto A de, Ribeiro PR de A. Motor learning and machine learning: predicting the amount of sessions to learn the tracing task [Internet]. Communications in Computer and Information Science. 2019 ; 1068 20-29.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-36636-0_2
Vancouver
Souza EDF de, Santos MR dos, Silva LCC da, Oliveira ACM de, Almeida Neto A de, Ribeiro PR de A. Motor learning and machine learning: predicting the amount of sessions to learn the tracing task [Internet]. Communications in Computer and Information Science. 2019 ; 1068 20-29.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-36636-0_2
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
Fonte: Communications in Computer and Information Science. Nome do evento: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Assuntos: 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: 07 nov. 2025. , 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 2025 nov. 07 ] 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 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-319-55209-5_4

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