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  • Source: Pattern Recognition. Unidades: IFSC, EP

    Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA

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      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: 27 set. 2024.
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      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
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      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 2024 set. 27 ] 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 2024 set. 27 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
  • Source: Pattern Recognition. Unidade: IFSC

    Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA, RECONHECIMENTO DE PADRÕES

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      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: 27 set. 2024.
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      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
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      Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
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      Ribas LC, Bruno OM. Learning a complex network representation for shape classification [Internet]. Pattern Recognition. 2024 ; 154 110566-1-110566-10 + supplementary data.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.patcog.2024.110566
  • Source: Pattern Recognition. Unidade: IFSC

    Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA

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      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: 27 set. 2024.
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      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 2024 set. 27 ] 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 2024 set. 27 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802
  • Source: Applied Soft Computing. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS

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      RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 27 set. 2024.
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      Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
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      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
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      Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
  • Source: Journal of Physics: Complexity. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, CIDADES

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      DOMINGUES, Guilherme Schimidt e TOKUDA, Eric Keiji e COSTA, Luciano da Fontoura. Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks. Journal of Physics: Complexity, v. 3, n. 4, p. 045003-1-045003-24, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac9446. Acesso em: 27 set. 2024.
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      Domingues, G. S., Tokuda, E. K., & Costa, L. da F. (2022). Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks. Journal of Physics: Complexity, 3( 4), 045003-1-045003-24. doi:10.1088/2632-072X/ac9446
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      Domingues GS, Tokuda EK, Costa L da F. Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045003-1-045003-24.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/2632-072X/ac9446
    • Vancouver

      Domingues GS, Tokuda EK, Costa L da F. Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045003-1-045003-24.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/2632-072X/ac9446
  • Source: Journal of Statistical Mechanics. Unidade: IFSC

    Assunto: VISÃO COMPUTACIONAL

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      TOKUDA, Eric Keiji e COMIN, Cesar H. e COSTA, Luciano da Fontoura. Impact of the topology of urban streets on mobility optimization. Journal of Statistical Mechanics, v. 2022, p. 103204-1-103204-21, 2022Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/ac9471. Acesso em: 27 set. 2024.
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      Tokuda, E. K., Comin, C. H., & Costa, L. da F. (2022). Impact of the topology of urban streets on mobility optimization. Journal of Statistical Mechanics, 2022, 103204-1-103204-21. doi:10.1088/1742-5468/ac9471
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      Tokuda EK, Comin CH, Costa L da F. Impact of the topology of urban streets on mobility optimization [Internet]. Journal of Statistical Mechanics. 2022 ; 2022 103204-1-103204-21.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/1742-5468/ac9471
    • Vancouver

      Tokuda EK, Comin CH, Costa L da F. Impact of the topology of urban streets on mobility optimization [Internet]. Journal of Statistical Mechanics. 2022 ; 2022 103204-1-103204-21.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/1742-5468/ac9471
  • Source: Journal of Physics: Complexity. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL

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      COSTA, Luciano da Fontoura. Autorrelation and cross-relation of graphs and networks. Journal of Physics: Complexity, v. 3, n. 4, p. 045009-1-045009-16, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/aca57c. Acesso em: 27 set. 2024.
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      Costa, L. da F. (2022). Autorrelation and cross-relation of graphs and networks. Journal of Physics: Complexity, 3( 4), 045009-1-045009-16. doi:10.1088/2632-072X/aca57c
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      Costa L da F. Autorrelation and cross-relation of graphs and networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045009-1-045009-16.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/2632-072X/aca57c
    • Vancouver

      Costa L da F. Autorrelation and cross-relation of graphs and networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045009-1-045009-16.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/2632-072X/aca57c
  • Source: Journal of Physics: Complexity. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL

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      COSTA, Luciano da Fontoura. Coincidence complex networks. Journal of Physics: Complexity, v. 3, n. 1, p. 015012-1-015012-18, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac54c3. Acesso em: 27 set. 2024.
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      Costa, L. da F. (2022). Coincidence complex networks. Journal of Physics: Complexity, 3( 1), 015012-1-015012-18. doi:10.1088/2632-072X/ac54c3
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      Costa L da F. Coincidence complex networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 1): 015012-1-015012-18.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/2632-072X/ac54c3
    • Vancouver

      Costa L da F. Coincidence complex networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 1): 015012-1-015012-18.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/2632-072X/ac54c3
  • Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Cellular Automata for Research and Industry - ACRI. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL

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      MIRANDA, Gisele Helena Barboni et al. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-69480-7_12. Acesso em: 27 set. 2024. , 2021
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      Miranda, G. H. B., Baetens, J. M., Daly, A. J., Bruno, O. M., & Baets, B. D. (2021). Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-69480-7_12
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      Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Lecture Notes in Computer Science - LNCS. 2021 ; 12599 113-122.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-69480-7_12
    • Vancouver

      Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Lecture Notes in Computer Science - LNCS. 2021 ; 12599 113-122.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-69480-7_12
  • Source: Information Sciences. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS, MAPAS, VISÃO COMPUTACIONAL

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      CONDORI, Rayner Harold Montes e BRUNO, Odemir Martinez. Analysis of activation maps through global pooling measurements for texture classification. Information Sciences, v. 555, p. 260-279 , 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.09.058. Acesso em: 27 set. 2024.
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      Condori, R. H. M., & Bruno, O. M. (2021). Analysis of activation maps through global pooling measurements for texture classification. Information Sciences, 555, 260-279 . doi:10.1016/j.ins.2020.09.058
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      Condori RHM, Bruno OM. Analysis of activation maps through global pooling measurements for texture classification [Internet]. Information Sciences. 2021 ; 555 260-279 .[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.09.058
    • Vancouver

      Condori RHM, Bruno OM. Analysis of activation maps through global pooling measurements for texture classification [Internet]. Information Sciences. 2021 ; 555 260-279 .[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.09.058
  • Source: Abstract book. Conference titles: International Conference on Cellular Automata for Research and Industry - ACRI. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL

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      MIRANDA, Gisele H. B. et al. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. 2020, Anais.. Lodz: University of Lodz, 2020. Disponível em: http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf. Acesso em: 27 set. 2024.
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      Miranda, G. H. B., Baetens, J. M., Daly, A. J., Bruno, O. M., & Baets, B. D. (2020). Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. In Abstract book. Lodz: University of Lodz. Recuperado de http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf
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      Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Abstract book. 2020 ;[citado 2024 set. 27 ] Available from: http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf
    • Vancouver

      Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Abstract book. 2020 ;[citado 2024 set. 27 ] Available from: http://acri2020.uni.lodz.pl/files/ACRI_2020_abstract_book.pdf
  • Source: Pattern Recognition Letters. Unidade: IFSC

    Subjects: REDES COMPLEXAS, TEORIA DA INFORMAÇÃO, VISÃO COMPUTACIONAL

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      COMIN, Cesar Henrique e TAYLOR, Gavin J. e COSTA, Luciano da Fontoura. Quantifying the regularity of a 3D set of points on the surface of an ellipsoidal object. Pattern Recognition Letters, v. 133, p. 1-7, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.02.012. Acesso em: 27 set. 2024.
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      Comin, C. H., Taylor, G. J., & Costa, L. da F. (2020). Quantifying the regularity of a 3D set of points on the surface of an ellipsoidal object. Pattern Recognition Letters, 133, 1-7. doi:10.1016/j.patrec.2020.02.012
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      Comin CH, Taylor GJ, Costa L da F. Quantifying the regularity of a 3D set of points on the surface of an ellipsoidal object [Internet]. Pattern Recognition Letters. 2020 ; 133 1-7.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.012
    • Vancouver

      Comin CH, Taylor GJ, Costa L da F. Quantifying the regularity of a 3D set of points on the surface of an ellipsoidal object [Internet]. Pattern Recognition Letters. 2020 ; 133 1-7.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.012
  • Source: Pattern Recognition. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA

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      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: 27 set. 2024.
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      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
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      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 2024 set. 27 ] 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 2024 set. 27 ] Available from: https://doi.org/10.1016/j.patcog.2019.107189
  • Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Image Analysis and Processing- ICIAP. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL

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      RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Dynamic texture classification using deterministic partially self-avoiding walks on networks. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30642-7_8. Acesso em: 27 set. 2024. , 2019
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      Ribas, L. C., & Bruno, O. M. (2019). Dynamic texture classification using deterministic partially self-avoiding walks on networks. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-30642-7_8
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      Ribas LC, Bruno OM. Dynamic texture classification using deterministic partially self-avoiding walks on networks [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11751 82-93.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-30642-7_8
    • Vancouver

      Ribas LC, Bruno OM. Dynamic texture classification using deterministic partially self-avoiding walks on networks [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11751 82-93.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-30642-7_8
  • Source: Journal of Statistical Mechanics. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL

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      SILVA, Filipi Nascimento e COMIN, Cesar H. e COSTA, Luciano da Fontoura. Malleability of complex networks. Journal of Statistical Mechanics, v. 2019, p. 083203-1-083203-15, 2019Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/ab2ad1. Acesso em: 27 set. 2024.
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      Silva, F. N., Comin, C. H., & Costa, L. da F. (2019). Malleability of complex networks. Journal of Statistical Mechanics, 2019, 083203-1-083203-15. doi:10.1088/1742-5468/ab2ad1
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      Silva FN, Comin CH, Costa L da F. Malleability of complex networks [Internet]. Journal of Statistical Mechanics. 2019 ; 2019 083203-1-083203-15.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/1742-5468/ab2ad1
    • Vancouver

      Silva FN, Comin CH, Costa L da F. Malleability of complex networks [Internet]. Journal of Statistical Mechanics. 2019 ; 2019 083203-1-083203-15.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/1742-5468/ab2ad1
  • Source: Physica A. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, TEORIA DA INFORMAÇÃO, VISÃO COMPUTACIONAL

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      ARRUDA, Henrique F. et al. Connecting network science and information theory. Physica A, v. 515, p. 641-648, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2018.10.005. Acesso em: 27 set. 2024.
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      Arruda, H. F., Silva, F. N., Comin, C. H., Amancio, D. R., & Costa, L. da F. (2019). Connecting network science and information theory. Physica A, 515, 641-648. doi:10.1016/j.physa.2018.10.005
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      Arruda HF, Silva FN, Comin CH, Amancio DR, Costa L da F. Connecting network science and information theory [Internet]. Physica A. 2019 ; 515 641-648.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.physa.2018.10.005
    • Vancouver

      Arruda HF, Silva FN, Comin CH, Amancio DR, Costa L da F. Connecting network science and information theory [Internet]. Physica A. 2019 ; 515 641-648.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.physa.2018.10.005
  • Source: Lecture Notes in Computer Science - LNCS. Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL

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      RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Deterministic partially self-avoiding walks on networks for natural shapes classification. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_51. Acesso em: 27 set. 2024. , 2019
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      Ribas, L. C., & Bruno, O. M. (2019). Deterministic partially self-avoiding walks on networks for natural shapes classification. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-13469-3_51
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      Ribas LC, Bruno OM. Deterministic partially self-avoiding walks on networks for natural shapes classification [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11401 436-443.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_51
    • Vancouver

      Ribas LC, Bruno OM. Deterministic partially self-avoiding walks on networks for natural shapes classification [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11401 436-443.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_51
  • Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL

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      RIBAS, Lucas Correia e MANZANERA, Antoine e BRUNO, Odemir Martinez. A fractal-based approach to network characterization applied to texture analysis. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-29888-3_11. Acesso em: 27 set. 2024. , 2019
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      Ribas, L. C., Manzanera, A., & Bruno, O. M. (2019). A fractal-based approach to network characterization applied to texture analysis. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-29888-3_11
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      Ribas LC, Manzanera A, Bruno OM. A fractal-based approach to network characterization applied to texture analysis [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11678 129-140.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-29888-3_11
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      Ribas LC, Manzanera A, Bruno OM. A fractal-based approach to network characterization applied to texture analysis [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11678 129-140.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-030-29888-3_11
  • Source: Neuroinformatics. Unidades: IME, IFSC

    Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA, VISÃO COMPUTACIONAL

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      CERVANTES, Evelyn Perez et al. Morphological neuron classification based on dendritic tree hierarchy. Neuroinformatics, v. 17, n. Ja 2019, p. 147-161, 2019Tradução . . Disponível em: https://doi.org/10.1007/s12021-018-9388-7. Acesso em: 27 set. 2024.
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      Cervantes, E. P., Comin, C. H., César Júnior, R. M., & Costa, L. da F. (2019). Morphological neuron classification based on dendritic tree hierarchy. Neuroinformatics, 17( Ja 2019), 147-161. doi:10.1007/s12021-018-9388-7
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      Cervantes EP, Comin CH, César Júnior RM, Costa L da F. Morphological neuron classification based on dendritic tree hierarchy [Internet]. Neuroinformatics. 2019 ; 17( Ja 2019): 147-161.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s12021-018-9388-7
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      Cervantes EP, Comin CH, César Júnior RM, Costa L da F. Morphological neuron classification based on dendritic tree hierarchy [Internet]. Neuroinformatics. 2019 ; 17( Ja 2019): 147-161.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s12021-018-9388-7
  • Source: Journal of Statistical Mechanics. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL

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      DOMINGUES, G. S. et al. Topological characterization of world cities. Journal of Statistical Mechanics, v. 2018, p. 083212-1-083212-18, 2018Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/aad365. Acesso em: 27 set. 2024.
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      Domingues, G. S., Silva, F. N., Comin, C. H., & Costa, L. da F. (2018). Topological characterization of world cities. Journal of Statistical Mechanics, 2018, 083212-1-083212-18. doi:10.1088/1742-5468/aad365
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      Domingues GS, Silva FN, Comin CH, Costa L da F. Topological characterization of world cities [Internet]. Journal of Statistical Mechanics. 2018 ; 2018 083212-1-083212-18.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/1742-5468/aad365
    • Vancouver

      Domingues GS, Silva FN, Comin CH, Costa L da F. Topological characterization of world cities [Internet]. Journal of Statistical Mechanics. 2018 ; 2018 083212-1-083212-18.[citado 2024 set. 27 ] Available from: https://doi.org/10.1088/1742-5468/aad365

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