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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: 28 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. 28 ] 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. 28 ] 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
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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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Artigo de periodico
Meta-learners for few-shot weakly-supervised medical image segmentation (2024)
Oliveira, Hugo Neves de ; Gama, Pedro Henrique Targino ; Bloch, Isabelle ; César Júnior, Roberto Marcondes
Source: Pattern Recognition. Unidade: IME
Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA
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ABNT
OLIVEIRA, Hugo Neves de et al. Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, v. 153, n. artigo 110471, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110471. Acesso em: 28 nov. 2025.
APA
Oliveira, H. N. de, Gama, P. H. T., Bloch, I., & César Júnior, R. M. (2024). Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, 153( artigo 110471), 1-13. doi:10.1016/j.patcog.2024.110471
NLM
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
Vancouver
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
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: 28 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. 28 ] 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. 28 ] 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
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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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
Artigo de periodico
Fusion of complex networks and randomized neural networks for texture analysis (2020)
Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Scabini, Leonardo Felipe dos Santos ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia et al. Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognition, v. 103, p. 107189-1-107189-10, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2019.107189. Acesso em: 28 nov. 2025.
APA
Ribas, L. C., Sá Júnior, J. J. de M., Scabini, L. F. dos S., & Bruno, O. M. (2020). Fusion of complex networks and randomized neural networks for texture analysis. Pattern Recognition, 103, 107189-1-107189-10. doi:10.1016/j.patcog.2019.107189
NLM
Ribas LC, Sá Júnior JJ de M, Scabini LF dos S, Bruno OM. Fusion of complex networks and randomized neural networks for texture analysis [Internet]. Pattern Recognition. 2020 ; 103 107189-1-107189-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2019.107189
Vancouver
Ribas LC, Sá Júnior JJ de M, Scabini LF dos S, Bruno OM. Fusion of complex networks and randomized neural networks for texture analysis [Internet]. Pattern Recognition. 2020 ; 103 107189-1-107189-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2019.107189
Artigo de periodico
A fast Branch-and-Bound algorithm for U-curve feature selection (2018)
Atashpaz-Gargari, Esmaeil; Reis, Marcelo da Silva ; Braga-Neto, Ulisses M.; Barrera, Júnior; Dougherty, Edward R
Source: Pattern Recognition. Unidade: IME
Assunto: CIÊNCIA DA COMPUTAÇÃO
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ABNT
ATASHPAZ-GARGARI, Esmaeil et al. A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognition, v. 73, p. 172-188, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2017.08.013. Acesso em: 28 nov. 2025.
APA
Atashpaz-Gargari, E., Reis, M. da S., Braga-Neto, U. M., Barrera, J., & Dougherty, E. R. (2018). A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognition, 73, 172-188. doi:10.1016/j.patcog.2017.08.013
NLM
Atashpaz-Gargari E, Reis M da S, Braga-Neto UM, Barrera J, Dougherty ER. A fast Branch-and-Bound algorithm for U-curve feature selection [Internet]. Pattern Recognition. 2018 ; 73 172-188.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2017.08.013
Vancouver
Atashpaz-Gargari E, Reis M da S, Braga-Neto UM, Barrera J, Dougherty ER. A fast Branch-and-Bound algorithm for U-curve feature selection [Internet]. Pattern Recognition. 2018 ; 73 172-188.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2017.08.013
Artigo de periodico
Staff removal using image operator learning (2017)
Montagner, Igor dos Santos; Hirata, Nina Sumiko Tomita ; Hirata Júnior, Roberto
Source: Pattern Recognition. Unidade: IME
Assunto: CIÊNCIA DA COMPUTAÇÃO
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ABNT
MONTAGNER, Igor dos Santos e HIRATA, Nina Sumiko Tomita e HIRATA JÚNIOR, Roberto. Staff removal using image operator learning. Pattern Recognition, v. 63, p. 310-320, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2016.10.002. Acesso em: 28 nov. 2025.
APA
Montagner, I. dos S., Hirata, N. S. T., & Hirata Júnior, R. (2017). Staff removal using image operator learning. Pattern Recognition, 63, 310-320. doi:10.1016/j.patcog.2016.10.002
NLM
Montagner I dos S, Hirata NST, Hirata Júnior R. Staff removal using image operator learning [Internet]. Pattern Recognition. 2017 ;63 310-320.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2016.10.002
Vancouver
Montagner I dos S, Hirata NST, Hirata Júnior R. Staff removal using image operator learning [Internet]. Pattern Recognition. 2017 ;63 310-320.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2016.10.002
Artigo de periodico
Combining fractal and deterministic walkers for texture analysis and classification (2013)
Gonçalves, Wesley Nunes; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: IFSC
Subjects: FRACTAIS, PROCESSAMENTO DE IMAGENS, TEXTURA (ANÁLISE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Wesley Nunes e BRUNO, Odemir Martinez. Combining fractal and deterministic walkers for texture analysis and classification. Pattern Recognition, v. No 2013, n. 11, p. 2953-2968, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2013.03.012. Acesso em: 28 nov. 2025.
APA
Gonçalves, W. N., & Bruno, O. M. (2013). Combining fractal and deterministic walkers for texture analysis and classification. Pattern Recognition, No 2013( 11), 2953-2968. doi:10.1016/j.patcog.2013.03.012
NLM
Gonçalves WN, Bruno OM. Combining fractal and deterministic walkers for texture analysis and classification [Internet]. Pattern Recognition. 2013 ; No 2013( 11): 2953-2968.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2013.03.012
Vancouver
Gonçalves WN, Bruno OM. Combining fractal and deterministic walkers for texture analysis and classification [Internet]. Pattern Recognition. 2013 ; No 2013( 11): 2953-2968.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2013.03.012
Artigo de periodico
Color texture analysis based on fractal descriptors (2012)
Backes, André Ricardo; Casanova, Dalcimar; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidade: IFSC
Subjects: FRACTAIS, PROCESSAMENTO DE IMAGENS, TEXTURA (ANÁLISE)
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. Color texture analysis based on fractal descriptors. Pattern Recognition, v. 45, n. 5, p. 1984-1992, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2011.11.009. Acesso em: 28 nov. 2025.
APA
Backes, A. R., Casanova, D., & Bruno, O. M. (2012). Color texture analysis based on fractal descriptors. Pattern Recognition, 45( 5), 1984-1992. doi:10.1016/j.patcog.2011.11.009
NLM
Backes AR, Casanova D, Bruno OM. Color texture analysis based on fractal descriptors [Internet]. Pattern Recognition. 2012 ; 45( 5): 1984-1992.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2011.11.009
Vancouver
Backes AR, Casanova D, Bruno OM. Color texture analysis based on fractal descriptors [Internet]. Pattern Recognition. 2012 ; 45( 5): 1984-1992.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2011.11.009
Artigo de periodico
U-curve: a branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem (2010)
Ris, Marcelo; Barrera, Júnior; Martins Junior, David C.
Source: Pattern Recognition. Unidade: FFCLRP
Assunto: OTIMIZAÇÃO COMBINATÓRIA
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ABNT
RIS, Marcelo e BARRERA, Júnior e MARTINS JUNIOR, David C. U-curve: a branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem. Pattern Recognition, v. 43, n. 3, p. 557-568, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2009.08.018. Acesso em: 28 nov. 2025.
APA
Ris, M., Barrera, J., & Martins Junior, D. C. (2010). U-curve: a branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem. Pattern Recognition, 43( 3), 557-568. doi:10.1016/j.patcog.2009.08.018
NLM
Ris M, Barrera J, Martins Junior DC. U-curve: a branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem [Internet]. Pattern Recognition. 2010 ; 43( 3): 557-568.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2009.08.018
Vancouver
Ris M, Barrera J, Martins Junior DC. U-curve: a branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem [Internet]. Pattern Recognition. 2010 ; 43( 3): 557-568.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.patcog.2009.08.018
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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1016/j.patcog.2008.07.006
Artigo de periodico
Multiscale skeletons by image foresting transform and its application to neuromorphometry (2002)
Falcão, A. X.
Source: Pattern Recognition. Unidade: IFSC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FALCÃO, A. X. Multiscale skeletons by image foresting transform and its application to neuromorphometry. Pattern Recognition, v. 35, n. 7, p. 1571-1582, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0031-3203(01)00148-0. Acesso em: 28 nov. 2025.
APA
Falcão, A. X. (2002). Multiscale skeletons by image foresting transform and its application to neuromorphometry. Pattern Recognition, 35( 7), 1571-1582. doi:10.1016/s0031-3203(01)00148-0
NLM
Falcão AX. Multiscale skeletons by image foresting transform and its application to neuromorphometry [Internet]. Pattern Recognition. 2002 ;35( 7): 1571-1582.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/s0031-3203(01)00148-0
Vancouver
Falcão AX. Multiscale skeletons by image foresting transform and its application to neuromorphometry [Internet]. Pattern Recognition. 2002 ;35( 7): 1571-1582.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/s0031-3203(01)00148-0
Artigo de periodico
Estimating derivates and curvature of open curves (2002)
Costa, Luciano da Fontoura
Source: Pattern Recognition. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, INSTRUMENTAÇÃO (FÍSICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Luciano da Fontoura. Estimating derivates and curvature of open curves. Pattern Recognition, v. No 2002, n. 11, p. 2445-2451, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0031-3203(01)00212-6. Acesso em: 28 nov. 2025.
APA
Costa, L. da F. (2002). Estimating derivates and curvature of open curves. Pattern Recognition, No 2002( 11), 2445-2451. doi:10.1016/s0031-3203(01)00212-6
NLM
Costa L da F. Estimating derivates and curvature of open curves [Internet]. Pattern Recognition. 2002 ; No 2002( 11): 2445-2451.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/s0031-3203(01)00212-6
Vancouver
Costa L da F. Estimating derivates and curvature of open curves [Internet]. Pattern Recognition. 2002 ; No 2002( 11): 2445-2451.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/s0031-3203(01)00212-6
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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1016/0031-3203(96)00007-6

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