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Artigo de periodico
Evaluating brain group structure methods using hierarchical dynamic models (2024)
Costa, Lilia ; Anacleto, Osvaldo ; Nascimento, Diego Carvalho ; Smith, James Q; Queen, Catriona M; Louzada, Francisco ; Nichols, Thomas
Source: Pattern Recognition. Unidade: ICMC
Subjects: TEORIA DOS GRAFOS, ESTUDO DE CASO, MAPEAMENTO CEREBRAL
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ABNT
COSTA, Lilia et al. Evaluating brain group structure methods using hierarchical dynamic models. Pattern Recognition, v. 155, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110687. Acesso em: 11 nov. 2025.
APA
Costa, L., Anacleto, O., Nascimento, D. C., Smith, J. Q., Queen, C. M., Louzada, F., & Nichols, T. (2024). Evaluating brain group structure methods using hierarchical dynamic models. Pattern Recognition, 155, 1-13. doi:10.1016/j.patcog.2024.110687
NLM
Costa L, Anacleto O, Nascimento DC, Smith JQ, Queen CM, Louzada F, Nichols T. Evaluating brain group structure methods using hierarchical dynamic models [Internet]. Pattern Recognition. 2024 ; 155 1-13.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2024.110687
Vancouver
Costa L, Anacleto O, Nascimento DC, Smith JQ, Queen CM, Louzada F, Nichols T. Evaluating brain group structure methods using hierarchical dynamic models [Internet]. Pattern Recognition. 2024 ; 155 1-13.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2024.110687
Artigo de periodico
A network classification method based on density time evolution patterns extracted from network automata (2024)
Zielinski, Kallil Miguel Caparroz; Ribas, Lucas Correia ; Machicao, Jeaneth ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidades: IFSC, EP
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZIELINSKI, Kallil Miguel Caparroz et al. A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, v. 146, p. 109802-1-109802-13 + supplementary materials, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109946. Acesso em: 11 nov. 2025.
APA
Zielinski, K. M. C., Ribas, L. C., Machicao, J., & Bruno, O. M. (2024). A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, 146, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109946
NLM
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Vancouver
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Artigo de periodico
Learning a complex network representation for shape classification (2024)
Ribas, Lucas Correia ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA, RECONHECIMENTO DE PADRÕES
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ABNT
RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Learning a complex network representation for shape classification. Pattern Recognition, v. 154, p. 110566-1-110566-10 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110566. Acesso em: 11 nov. 2025.
APA
Ribas, L. C., & Bruno, O. M. (2024). Learning a complex network representation for shape classification. Pattern Recognition, 154, 110566-1-110566-10 + supplementary data. doi:10.1016/j.patcog.2024.110566
NLM
Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
Vancouver
Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
Artigo de periodico
RADAM: texture recognition through randomized aggregated encoding of deep activation maps (2023)
Scabini, Leonardo Felipe dos Santos ; Zielinski, Kallil Miguel Caparroz; Ribas, Lucas Correia ; Gonçalves, Wesley Nunes ; Baets, Bernard De ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABINI, Leonardo Felipe dos Santos et al. RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, v. No 2023, p. 109802-1-109802-13 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109802. Acesso em: 11 nov. 2025.
APA
Scabini, L. F. dos S., Zielinski, K. M. C., Ribas, L. C., Gonçalves, W. N., Baets, B. D., & Bruno, O. M. (2023). RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, No 2023, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109802
NLM
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
Vancouver
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
Artigo de periodico
A complex network-based approach for boundary shape analysis (2009)
Backes, André Ricardo; Casanova, Dalcimar; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BACKES, André Ricardo e CASANOVA, Dalcimar e BRUNO, Odemir Martinez. A complex network-based approach for boundary shape analysis. Pattern Recognition, v. 42, n. 1, p. 54-67, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2008.07.006. Acesso em: 11 nov. 2025.
APA
Backes, A. R., Casanova, D., & Bruno, O. M. (2009). A complex network-based approach for boundary shape analysis. Pattern Recognition, 42( 1), 54-67. doi:10.1016/j.patcog.2008.07.006
NLM
Backes AR, Casanova D, Bruno OM. A complex network-based approach for boundary shape analysis [Internet]. Pattern Recognition. 2009 ; 42( 1): 54-67.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2008.07.006
Vancouver
Backes AR, Casanova D, Bruno OM. A complex network-based approach for boundary shape analysis [Internet]. Pattern Recognition. 2009 ; 42( 1): 54-67.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.patcog.2008.07.006
Artigo de periodico
Towards effective planar shape representation with multiscale digital curvature analysis based on signal processing techniques (1996)
César Júnior, Roberto Marcondes ; Costa, Luciano da Fontoura
Source: Pattern Recognition. Unidade: IFSC
Subjects: INSTRUMENTAÇÃO (FÍSICA), SIMULAÇÃO, COMPUTAÇÃO APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CÉSAR JÚNIOR, Roberto Marcondes e COSTA, Luciano da Fontoura. Towards effective planar shape representation with multiscale digital curvature analysis based on signal processing techniques. Pattern Recognition, v. 29, n. 9 , p. 1559-1569, 1996Tradução . . Disponível em: https://doi.org/10.1016/0031-3203(96)00007-6. Acesso em: 11 nov. 2025.
APA
César Júnior, R. M., & Costa, L. da F. (1996). Towards effective planar shape representation with multiscale digital curvature analysis based on signal processing techniques. Pattern Recognition, 29( 9 ), 1559-1569. doi:10.1016/0031-3203(96)00007-6
NLM
César Júnior RM, Costa L da F. Towards effective planar shape representation with multiscale digital curvature analysis based on signal processing techniques [Internet]. Pattern Recognition. 1996 ; 29( 9 ): 1559-1569.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/0031-3203(96)00007-6
Vancouver
César Júnior RM, Costa L da F. Towards effective planar shape representation with multiscale digital curvature analysis based on signal processing techniques [Internet]. Pattern Recognition. 1996 ; 29( 9 ): 1559-1569.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/0031-3203(96)00007-6

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