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Filtros : "Statistical complexity" Limpar

Filtros

Trabalho de evento-resumo
Studding the statistical behavior of a deep neural network during age and gender classification task based on dental panoramic images (2024)
Pultrini, Davi Rodrigues; Murta Júnior, Luiz Otávio
Source: Anais. Conference titles: Congresso Brasileiro de Engenharia Biomédica - CBEB. Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZAGEM PROFUNDA, CIÊNCIA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PULTRINI, Davi Rodrigues e MURTA JÚNIOR, Luiz Otávio. Studding the statistical behavior of a deep neural network during age and gender classification task based on dental panoramic images. 2024, Anais.. Rio de Janeiro: SBEB, 2024. Disponível em: https://sbeb.org.br/cbeb2024/wp-content/uploads/2025/01/Proceedings-CBEB-2024.pdf. Acesso em: 10 jan. 2026.
APA
Pultrini, D. R., & Murta Júnior, L. O. (2024). Studding the statistical behavior of a deep neural network during age and gender classification task based on dental panoramic images. In Anais. Rio de Janeiro: SBEB. Recuperado de https://sbeb.org.br/cbeb2024/wp-content/uploads/2025/01/Proceedings-CBEB-2024.pdf
NLM
Pultrini DR, Murta Júnior LO. Studding the statistical behavior of a deep neural network during age and gender classification task based on dental panoramic images [Internet]. Anais. 2024 ;[citado 2026 jan. 10 ] Available from: https://sbeb.org.br/cbeb2024/wp-content/uploads/2025/01/Proceedings-CBEB-2024.pdf
Vancouver
Pultrini DR, Murta Júnior LO. Studding the statistical behavior of a deep neural network during age and gender classification task based on dental panoramic images [Internet]. Anais. 2024 ;[citado 2026 jan. 10 ] Available from: https://sbeb.org.br/cbeb2024/wp-content/uploads/2025/01/Proceedings-CBEB-2024.pdf
Artigo de periodico
Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis (2024)
Senra Filho, Antonio Carlos da S; Murta Júnior, Luiz Otávio ; Paschoal, André Monteiro
Source: Magnetic Resonance Materials in Physics, Biology and Medicine. Unidade: FFCLRP
Subjects: TENSORES, RESSONÂNCIA MAGNÉTICA, CÉREBRO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SENRA FILHO, Antonio Carlos da S e MURTA JÚNIOR, Luiz Otávio e PASCHOAL, André Monteiro. Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis. Magnetic Resonance Materials in Physics, Biology and Medicine, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10334-024-01185-4. Acesso em: 10 jan. 2026.
APA
Senra Filho, A. C. da S., Murta Júnior, L. O., & Paschoal, A. M. (2024). Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis. Magnetic Resonance Materials in Physics, Biology and Medicine. doi:10.1007/s10334-024-01185-4
NLM
Senra Filho AC da S, Murta Júnior LO, Paschoal AM. Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis [Internet]. Magnetic Resonance Materials in Physics, Biology and Medicine. 2024 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1007/s10334-024-01185-4
Vancouver
Senra Filho AC da S, Murta Júnior LO, Paschoal AM. Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis [Internet]. Magnetic Resonance Materials in Physics, Biology and Medicine. 2024 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1007/s10334-024-01185-4

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