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Filtros : " GRU015" "International Conference on Image Processing Theory, Tools and Applications - IPTA" Removidos: "RAIOS CÓSMICOS" "Souza, Humberto Ribeiro de" "Financiamento Princess Margaret Cancer Foundation" Limpar

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Trabalho de evento
A complex network approach for fish species recognition based on otolith shape (2022)
Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, IMAGEM DIGITAL, RECONHECIMENTO DE IMAGEM, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia e SCABINI, Leonardo e BRUNO, Odemir Martinez. A complex network approach for fish species recognition based on otolith shape. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784114. Acesso em: 08 nov. 2024.
APA
Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). A complex network approach for fish species recognition based on otolith shape. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784114
NLM
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
Vancouver
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
Trabalho de evento
Complex texture features learned by applying randomized neural network on graphs (2022)
Zielinski, Kallil M. C.; Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE IMAGEM, RECONHECIMENTO DE PADRÕES, TEXTURA (ANÁLISE), INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZIELINSKI, Kallil M. C. et al. Complex texture features learned by applying randomized neural network on graphs. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784123. Acesso em: 08 nov. 2024.
APA
Zielinski, K. M. C., Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). Complex texture features learned by applying randomized neural network on graphs. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784123
NLM
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
Vancouver
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123

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