Source: Communications in Computer and Information Science. Conference titles: Latin American Workshop on Computational Neuroscience - LAWCN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, REDES NEURAIS, REABILITAÇÃO
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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: 17 out. 2024. , 2019APA
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_2NLM
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 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-030-36636-0_2Vancouver
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 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-030-36636-0_2