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Trabalho de evento-anais periodico
Efficient simulation of non-uniform cellular automata with a convolutional neural network (2024)
Rollier, Michiel ; Daly, Aisling Jane ; Bruno, Odemir Martinez ; Baetens, Jan M.
Source: Lecture Notes in Computer Science - LNCS. Conference titles: Cellular Automata for Research and Industry - ACRI. Unidade: IFSC
Subjects: FÍSICA COMPUTACIONAL, SIMULAÇÃO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROLLIER, Michiel et al. Efficient simulation of non-uniform cellular automata with a convolutional neural network. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-71552-5_11. Acesso em: 01 nov. 2024. , 2024
APA
Rollier, M., Daly, A. J., Bruno, O. M., & Baetens, J. M. (2024). Efficient simulation of non-uniform cellular automata with a convolutional neural network. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-031-71552-5_11
NLM
Rollier M, Daly AJ, Bruno OM, Baetens JM. Efficient simulation of non-uniform cellular automata with a convolutional neural network [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 14978 121-131.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-031-71552-5_11
Vancouver
Rollier M, Daly AJ, Bruno OM, Baetens JM. Efficient simulation of non-uniform cellular automata with a convolutional neural network [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 14978 121-131.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-031-71552-5_11
Trabalho de evento-anais periodico
Deep topological embedding with convolutional neural networks for complex network classification (2022)
Scabini, Leonardo ; Ribas, Lucas; Eraldo Ribeiro; Bruno, Odemir Martinez
Source: Lecture Notes in Computer Science - LNCS. Conference titles: NetSci-X. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABINI, Leonardo et al. Deep topological embedding with convolutional neural networks for complex network classification. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-97240-0_5. Acesso em: 01 nov. 2024. , 2022
APA
Scabini, L., Ribas, L., Eraldo Ribeiro,, & Bruno, O. M. (2022). Deep topological embedding with convolutional neural networks for complex network classification. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-030-97240-0_5
NLM
Scabini L, Ribas L, Eraldo Ribeiro, Bruno OM. Deep topological embedding with convolutional neural networks for complex network classification [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13197 54-66.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-97240-0_5
Vancouver
Scabini L, Ribas L, Eraldo Ribeiro, Bruno OM. Deep topological embedding with convolutional neural networks for complex network classification [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13197 54-66.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-97240-0_5
Artigo de periodico
Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance (2020)
Carrasco, Miguel ; Toledo, Patricio A. ; Velázquez, Ramiro ; Bruno, Odemir Martinez
Source: Plants. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, FISIOLOGIA VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARRASCO, Miguel et al. Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance. Plants, v. No 2020, n. 11, p. 1613-1-1613-17, 2020Tradução . . Disponível em: https://doi.org/10.3390/plants9111613. Acesso em: 01 nov. 2024.
APA
Carrasco, M., Toledo, P. A., Velázquez, R., & Bruno, O. M. (2020). Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance. Plants, No 2020( 11), 1613-1-1613-17. doi:10.3390/plants9111613
NLM
Carrasco M, Toledo PA, Velázquez R, Bruno OM. Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance [Internet]. Plants. 2020 ; No 2020( 11): 1613-1-1613-17.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/plants9111613
Vancouver
Carrasco M, Toledo PA, Velázquez R, Bruno OM. Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance [Internet]. Plants. 2020 ; No 2020( 11): 1613-1-1613-17.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/plants9111613
Parte de monografia/livro
Thymus gene coexpression networks: a comparative study in children with and without Down syndrome (2014)
Moreira-Filho, Carlos Alberto; Bando, Silvia Yumi; Bertonha, Fernanda Bernardi; Silva, Filipi Nascimento; Costa, Luciano da Fontoura ; Carneiro-Sampaio, Magda
Source: Transcriptomics in health and disease. Unidades: FM, IFSC
Subjects: SÍNDROME DE DOWN, REDES COMPLEXAS (ESTUDO), DOENÇAS (ESTUDO), EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOREIRA-FILHO, Carlos Alberto et al. Thymus gene coexpression networks: a comparative study in children with and without Down syndrome. Transcriptomics in health and disease. Tradução . Cham: Springer, 2014. . Disponível em: https://doi.org/10.1007/978-3-319-11985-4_7. Acesso em: 01 nov. 2024.
APA
Moreira-Filho, C. A., Bando, S. Y., Bertonha, F. B., Silva, F. N., Costa, L. da F., & Carneiro-Sampaio, M. (2014). Thymus gene coexpression networks: a comparative study in children with and without Down syndrome. In Transcriptomics in health and disease. Cham: Springer. doi:10.1007/978-3-319-11985-4_7
NLM
Moreira-Filho CA, Bando SY, Bertonha FB, Silva FN, Costa L da F, Carneiro-Sampaio M. Thymus gene coexpression networks: a comparative study in children with and without Down syndrome [Internet]. In: Transcriptomics in health and disease. Cham: Springer; 2014. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-11985-4_7
Vancouver
Moreira-Filho CA, Bando SY, Bertonha FB, Silva FN, Costa L da F, Carneiro-Sampaio M. Thymus gene coexpression networks: a comparative study in children with and without Down syndrome [Internet]. In: Transcriptomics in health and disease. Cham: Springer; 2014. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-11985-4_7
Parte de monografia/livro
Methods for gene coexpression network visualization and analysis (2014)
Moreira-Filho, Carlos Alberto; Bando, Silvia Yumi; Bertonha, Fernanda Bernardi; Silva, Filipi Nascimento; Costa, Luciano da Fontoura
Source: Transcriptomics in health and disease. Unidades: FM, IFSC
Subjects: CÉLULAS(PROPRIEDADES), EXPRESSÃO GÊNICA, DOENÇAS (ESTUDO), REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOREIRA-FILHO, Carlos Alberto et al. Methods for gene coexpression network visualization and analysis. Transcriptomics in health and disease. Tradução . Cham: Springer, 2014. . Disponível em: https://doi.org/10.1007/978-3-319-11985-4_4. Acesso em: 01 nov. 2024.
APA
Moreira-Filho, C. A., Bando, S. Y., Bertonha, F. B., Silva, F. N., & Costa, L. da F. (2014). Methods for gene coexpression network visualization and analysis. In Transcriptomics in health and disease. Cham: Springer. doi:10.1007/978-3-319-11985-4_4
NLM
Moreira-Filho CA, Bando SY, Bertonha FB, Silva FN, Costa L da F. Methods for gene coexpression network visualization and analysis [Internet]. In: Transcriptomics in health and disease. Cham: Springer; 2014. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-11985-4_4
Vancouver
Moreira-Filho CA, Bando SY, Bertonha FB, Silva FN, Costa L da F. Methods for gene coexpression network visualization and analysis [Internet]. In: Transcriptomics in health and disease. Cham: Springer; 2014. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-11985-4_4
Artigo de periodico
Communication structure of cortical networks (2011)
Costa, Luciano da Fontoura ; Batista, João Luiz B.; Ascoli, Giorgio A.
Source: Frontiers in Computational Neuroscience. Unidade: IFSC
Subjects: REDES COMPLEXAS, CÓRTEX CEREBRAL, CADEIAS DE MARKOV, SISTEMA DE COMUNICAÇÃO (MODELOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Luciano da Fontoura e BATISTA, João Luiz B. e ASCOLI, Giorgio A. Communication structure of cortical networks. Frontiers in Computational Neuroscience, v. 5, p. 6-1-6-15, 2011Tradução . . Disponível em: https://doi.org/10.3389/fncom.2011.00006. Acesso em: 01 nov. 2024.
APA
Costa, L. da F., Batista, J. L. B., & Ascoli, G. A. (2011). Communication structure of cortical networks. Frontiers in Computational Neuroscience, 5, 6-1-6-15. doi:10.3389/fncom.2011.00006
NLM
Costa L da F, Batista JLB, Ascoli GA. Communication structure of cortical networks [Internet]. Frontiers in Computational Neuroscience. 2011 ; 5 6-1-6-15.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3389/fncom.2011.00006
Vancouver
Costa L da F, Batista JLB, Ascoli GA. Communication structure of cortical networks [Internet]. Frontiers in Computational Neuroscience. 2011 ; 5 6-1-6-15.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3389/fncom.2011.00006

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