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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: 23 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. 23 ] 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. 23 ] Available from: https://doi.org/10.1007/978-3-030-36636-0_2
Trabalho de evento-anais periodico
The dark side of gamification: an overview of negative effects of gamification in education (2018)
Toda, Armando M.; Valle, Pedro H. D.; Isotani, Seiji
Fonte: Communications in Computer and Information Science. Nome do evento: International Workshop on Social, Semantic, Adaptive and Gamification Techniques and Technologies for Distance Learning - HEFA. Unidade: ICMC
Assuntos: SISTEMAS COLABORATIVOS, JOGOS ELETRÔNICOS, JOGOS EDUCATIVOS, MODELOS DE APRENDIZAGEM, PROCESSO, EDUCAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TODA, Armando M. e VALLE, Pedro H. D. e ISOTANI, Seiji. The dark side of gamification: an overview of negative effects of gamification in education. Communications in Computer and Information Science. Cham, Switzerland: Springer Nature Switzerland AG. Disponível em: https://doi.org/10.1007/978-3-319-97934-2_9. Acesso em: 23 nov. 2025. , 2018
APA
Toda, A. M., Valle, P. H. D., & Isotani, S. (2018). The dark side of gamification: an overview of negative effects of gamification in education. Communications in Computer and Information Science. Cham, Switzerland: Springer Nature Switzerland AG. doi:10.1007/978-3-319-97934-2_9
NLM
Toda AM, Valle PHD, Isotani S. The dark side of gamification: an overview of negative effects of gamification in education [Internet]. Communications in Computer and Information Science. 2018 ; 832 143-156.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-319-97934-2_9
Vancouver
Toda AM, Valle PHD, Isotani S. The dark side of gamification: an overview of negative effects of gamification in education [Internet]. Communications in Computer and Information Science. 2018 ; 832 143-156.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-319-97934-2_9
Trabalho de evento-anais periodico
Pattern recognition in thermal images of plants pine using artificial neural networks (2013)
Colturato, Adimara Bentivoglio ; Gomes, André Benjamin; Pigatto, Daniel Fernando ; Colturato, Danielle Bentivoglio; Pinto, Alex Sandro Roschildt ; Branco, Luiz Henrique Castelo ; Furtado, Edson Luiz ; Branco, Kalinka Regina Lucas Jaquie Castelo
Fonte: Communications in Computer and Information Science. Nome do evento: International Conference on Engineering Applications of Neural Networks - EANN. Unidade: ICMC
Assuntos: RECONHECIMENTO DE IMAGEM, REDES NEURAIS, AERONAVES NÃO TRIPULADAS, PINHEIRO, PRAGAS DE PLANTAS, FUNGOS FITOPATOGÊNICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLTURATO, Adimara Bentivoglio et al. Pattern recognition in thermal images of plants pine using artificial neural networks. Communications in Computer and Information Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-41013-0_42. Acesso em: 23 nov. 2025. , 2013
APA
Colturato, A. B., Gomes, A. B., Pigatto, D. F., Colturato, D. B., Pinto, A. S. R., Branco, L. H. C., et al. (2013). Pattern recognition in thermal images of plants pine using artificial neural networks. Communications in Computer and Information Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-41013-0_42
NLM
Colturato AB, Gomes AB, Pigatto DF, Colturato DB, Pinto ASR, Branco LHC, Furtado EL, Branco KRLJC. Pattern recognition in thermal images of plants pine using artificial neural networks [Internet]. Communications in Computer and Information Science. 2013 ; 383 406-413.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-642-41013-0_42
Vancouver
Colturato AB, Gomes AB, Pigatto DF, Colturato DB, Pinto ASR, Branco LHC, Furtado EL, Branco KRLJC. Pattern recognition in thermal images of plants pine using artificial neural networks [Internet]. Communications in Computer and Information Science. 2013 ; 383 406-413.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/978-3-642-41013-0_42

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