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  • Source: Lecture Notes in Computer Science - LNCS. Conference titles: Cellular Automata. Unidade: IFSC

    Subjects: FÍSICA COMPUTACIONAL, SIMULAÇÃO, REDES NEURAIS

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      ROLLIER, Michiel et al. Efficient simulation of non-uniform cellular automata with a convolutional neural network. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-71552-5_11. Acesso em: 27 set. 2024. , 2024
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      Rollier, M., Daly, A. J., Bruno, O. M., & Baetens, J. M. (2024). Efficient simulation of non-uniform cellular automata with a convolutional neural network. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-031-71552-5_11
    • NLM

      Rollier M, Daly AJ, Bruno OM, Baetens JM. Efficient simulation of non-uniform cellular automata with a convolutional neural network [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 14978 121-131.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-031-71552-5_11
    • Vancouver

      Rollier M, Daly AJ, Bruno OM, Baetens JM. Efficient simulation of non-uniform cellular automata with a convolutional neural network [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 14978 121-131.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/978-3-031-71552-5_11
  • 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: Plant Methods. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, IMAGEM, MADEIRA

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      SILVA, Núbia Rosa da et al. Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, v. 18, n. 1, p. 79-1-79-17, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13007-022-00910-1. Acesso em: 27 set. 2024.
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      Silva, N. R. da, Deklerck, V., Baetens, J. M., Bulcke, J. V. den, Ridder, M. D., Rousseau, M., et al. (2022). Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, 18( 1), 79-1-79-17. doi:10.1186/s13007-022-00910-1
    • NLM

      Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 set. 27 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
    • Vancouver

      Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 set. 27 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
  • 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
    • NLM

      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: Book of abstracts. Conference titles: Conference on Complex Systems. Unidade: IFSC

    Subjects: REDES COMPLEXAS, INTELIGÊNCIA ARTIFICIAL, GEOMETRIA COMPUTACIONAL

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      ALVES, M. e BRUNO, Odemir Martinez. Measuring randomness quality applying complex networks and computational geometry. 2021, Anais.. Lyon: Université Claude Bernard Lyon 1, 2021. Disponível em: http://sci-web.net/CCS2021/CCS2021_BookOfAbstracts.pdf. Acesso em: 27 set. 2024.
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      Alves, M., & Bruno, O. M. (2021). Measuring randomness quality applying complex networks and computational geometry. In Book of abstracts. Lyon: Université Claude Bernard Lyon 1. Recuperado de http://sci-web.net/CCS2021/CCS2021_BookOfAbstracts.pdf
    • NLM

      Alves M, Bruno OM. Measuring randomness quality applying complex networks and computational geometry [Internet]. Book of abstracts. 2021 ;[citado 2024 set. 27 ] Available from: http://sci-web.net/CCS2021/CCS2021_BookOfAbstracts.pdf
    • Vancouver

      Alves M, Bruno OM. Measuring randomness quality applying complex networks and computational geometry [Internet]. Book of abstracts. 2021 ;[citado 2024 set. 27 ] Available from: http://sci-web.net/CCS2021/CCS2021_BookOfAbstracts.pdf
  • Source: Epidemics. Unidades: IFSC, ICMC

    Subjects: INFLUENZA, SURTOS DE DOENÇAS, SAÚDE PÚBLICA

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      MIRANDA, Gisele Helena Barboni et al. Real-time prediction of influenza outbreaks in Belgium. Epidemics, v. 28, p. Se 2019, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.epidem.2019.04.001. Acesso em: 27 set. 2024.
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      Miranda, G. H. B., Baetens, J. M., Bossuyt, N., Bruno, O. M., & De Baets, B. (2019). Real-time prediction of influenza outbreaks in Belgium. Epidemics, 28, Se 2019. doi:10.1016/j.epidem.2019.04.001
    • NLM

      Miranda GHB, Baetens JM, Bossuyt N, Bruno OM, De Baets B. Real-time prediction of influenza outbreaks in Belgium [Internet]. Epidemics. 2019 ; 28 Se 2019.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.epidem.2019.04.001
    • Vancouver

      Miranda GHB, Baetens JM, Bossuyt N, Bruno OM, De Baets B. Real-time prediction of influenza outbreaks in Belgium [Internet]. Epidemics. 2019 ; 28 Se 2019.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.epidem.2019.04.001
  • Source: Annals of Forest Science. Unidade: IFSC

    Subjects: IMAGEM, RECONHECIMENTO DE PADRÕES, MADEIRA

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      SILVA, Núbia Rosa da et al. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species. Annals of Forest Science, v. 74, n. 2, p. 30-1-30-14, 2017Tradução . . Disponível em: https://doi.org/10.1007/s13595-017-0619-0. Acesso em: 27 set. 2024.
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      Silva, N. R. da, De Ridder, M., Baetens, J. M., Van den Bulcke, J., Rousseau, M., Bruno, O. M., et al. (2017). Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species. Annals of Forest Science, 74( 2), 30-1-30-14. doi:10.1007/s13595-017-0619-0
    • NLM

      Silva NR da, De Ridder M, Baetens JM, Van den Bulcke J, Rousseau M, Bruno OM, Beeckman H, Van Acker J, De Baets B. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species [Internet]. Annals of Forest Science. 2017 ; 74( 2): 30-1-30-14.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s13595-017-0619-0
    • Vancouver

      Silva NR da, De Ridder M, Baetens JM, Van den Bulcke J, Rousseau M, Bruno OM, Beeckman H, Van Acker J, De Baets B. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species [Internet]. Annals of Forest Science. 2017 ; 74( 2): 30-1-30-14.[citado 2024 set. 27 ] Available from: https://doi.org/10.1007/s13595-017-0619-0
  • Source: Information Sciences. Unidade: IFSC

    Subjects: AUTÔMATOS CELULARES, RECONHECIMENTO DE PADRÕES, IMAGEM, TEXTURA, CLASSIFICAÇÃO

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      SILVA, Núbia Rosa da et al. Classification of cellular automata through texture analysis. Information Sciences, v. No 2016, p. 33-49, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.07.005. Acesso em: 27 set. 2024.
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      Silva, N. R. da, Baetens, J. M., Oliveira, M. W. da S., De Baets, B., & Bruno, O. M. (2016). Classification of cellular automata through texture analysis. Information Sciences, No 2016, 33-49. doi:10.1016/j.ins.2016.07.005
    • NLM

      Silva NR da, Baetens JM, Oliveira MW da S, De Baets B, Bruno OM. Classification of cellular automata through texture analysis [Internet]. Information Sciences. 2016 ; No 2016 33-49.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.ins.2016.07.005
    • Vancouver

      Silva NR da, Baetens JM, Oliveira MW da S, De Baets B, Bruno OM. Classification of cellular automata through texture analysis [Internet]. Information Sciences. 2016 ; No 2016 33-49.[citado 2024 set. 27 ] Available from: https://doi.org/10.1016/j.ins.2016.07.005

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