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Filtros : "International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM)" Limpar

Filtros

Autores USP
- carneiro, cleyton de carvalho (~2)
- antoniassi, juliana lívi (~1)
- kahn, henrique (~1)
- ulsen, carina (~1)
Ano de publicação
- 2017 (~2)
Assuntos
- alumina (1)
- bauxita (1)
- esclerose múltipla (1)
- geoquímica (1)
- imagem por ressonância magnética (1)

Trabalho de evento
Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis (2017)
Mei, Paulo Afonso; Carneiro, Cleyton de Carvalho ; Kuroda, Michelle Chaves; Fraser, Stephen James; Min, Li Li; Reis, Fabiano
Fonte: Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nome do evento: International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Unidade: EP
Assuntos: IMAGEM POR RESSONÂNCIA MAGNÉTICA, MAPAS, ESCLEROSE MÚLTIPLA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEI, Paulo Afonso et al. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis. 2017, Anais.. Nancy: IEEE, 2017. Disponível em: https://doi.org/10.1109/WSOM.2017.8020005. Acesso em: 04 nov. 2024.
APA
Mei, P. A., Carneiro, C. de C., Kuroda, M. C., Fraser, S. J., Min, L. L., & Reis, F. (2017). Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis. In Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nancy: IEEE. doi:10.1109/WSOM.2017.8020005
NLM
Mei PA, Carneiro C de C, Kuroda MC, Fraser SJ, Min LL, Reis F. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/WSOM.2017.8020005
Vancouver
Mei PA, Carneiro C de C, Kuroda MC, Fraser SJ, Min LL, Reis F. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/WSOM.2017.8020005
Trabalho de evento
Imputation of reactive silica and available alumina in bauxites by self-organizing maps (2017)
Carneiro, Cleyton de Carvalho ; Silva Yanez, Dayana Niazabeth del Valle; Ulsen, Carina ; Fraser, Stephen James; Antoniassi, Juliana Lívi ; Paz, Simone Patrícia Aranha da; Angélica, Rômulo Simões ; Kahn, Henrique
Fonte: Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nome do evento: International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Unidade: EP
Assuntos: GEOQUÍMICA, BAUXITA, ALUMINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Cleyton de Carvalho et al. Imputation of reactive silica and available alumina in bauxites by self-organizing maps. 2017, Anais.. Nancy: IEEE, 2017. Disponível em: https://doi.org/10.1109/WSOM.2017.8020008. Acesso em: 04 nov. 2024.
APA
Carneiro, C. de C., Silva Yanez, D. N. del V., Ulsen, C., Fraser, S. J., Antoniassi, J. L., Paz, S. P. A. da, et al. (2017). Imputation of reactive silica and available alumina in bauxites by self-organizing maps. In Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nancy: IEEE. doi:10.1109/WSOM.2017.8020008
NLM
Carneiro C de C, Silva Yanez DN del V, Ulsen C, Fraser SJ, Antoniassi JL, Paz SPA da, Angélica RS, Kahn H. Imputation of reactive silica and available alumina in bauxites by self-organizing maps [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/WSOM.2017.8020008
Vancouver
Carneiro C de C, Silva Yanez DN del V, Ulsen C, Fraser SJ, Antoniassi JL, Paz SPA da, Angélica RS, Kahn H. Imputation of reactive silica and available alumina in bauxites by self-organizing maps [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/WSOM.2017.8020008

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