Filtros : "RECONHECIMENTO DE PADRÕES" "Reino Unido" Removido: "SIAM International Conference on Data Mining - SDM" Limpar

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  • Source: Public Health. Unidade: IME

    Subjects: GEOESTATÍSTICA, DISTRIBUIÇÃO ESPACIAL, RECONHECIMENTO DE PADRÕES

    Disponível em 2026-04-18Acesso à fonteDOIHow to cite
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      MARTINELLI, Giovana e KON, Fábio e CAMARGO, Raphael Y. de. The spatial distribution of mortality in a large metropolis: a methodology for identifying geographical patterns and contributing factors. Public Health, v. 243, p. 1-7, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.puhe.2025.03.017. Acesso em: 28 nov. 2025.
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      Martinelli, G., Kon, F., & Camargo, R. Y. de. (2025). The spatial distribution of mortality in a large metropolis: a methodology for identifying geographical patterns and contributing factors. Public Health, 243, 1-7. doi:10.1016/j.puhe.2025.03.017
    • NLM

      Martinelli G, Kon F, Camargo RY de. The spatial distribution of mortality in a large metropolis: a methodology for identifying geographical patterns and contributing factors [Internet]. Public Health. 2025 ; 243 1-7.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.puhe.2025.03.017
    • Vancouver

      Martinelli G, Kon F, Camargo RY de. The spatial distribution of mortality in a large metropolis: a methodology for identifying geographical patterns and contributing factors [Internet]. Public Health. 2025 ; 243 1-7.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.puhe.2025.03.017
  • Source: Chaos, Solitons and Fractals. Unidade: IFSC

    Subjects: REDES COMPLEXAS, ALGORITMOS, RECONHECIMENTO DE PADRÕES, FÍSICA COMPUTACIONAL

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      MERENDA, João Vitor e TRAVIESO, Gonzalo e BRUNO, Odemir Martinez. Pattern recognition on networks using bifurcated deterministic self-avoiding walks. Chaos, Solitons and Fractals, v. 194, p. 116100-1-116100-10, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116100. Acesso em: 28 nov. 2025.
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      Merenda, J. V., Travieso, G., & Bruno, O. M. (2025). Pattern recognition on networks using bifurcated deterministic self-avoiding walks. Chaos, Solitons and Fractals, 194, 116100-1-116100-10. doi:10.1016/j.chaos.2025.116100
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      Merenda JV, Travieso G, Bruno OM. Pattern recognition on networks using bifurcated deterministic self-avoiding walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116100-1-116100-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2025.116100
    • Vancouver

      Merenda JV, Travieso G, Bruno OM. Pattern recognition on networks using bifurcated deterministic self-avoiding walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116100-1-116100-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2025.116100
  • Source: Chaos, Solitons and Fractals. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, FÍSICA COMPUTACIONAL, REDES COMPLEXAS

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      BENATTI, Alexandre e COSTA, Luciano da Fontoura. On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, v. 183, p. 114904-1-114904-7, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114904. Acesso em: 28 nov. 2025.
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      Benatti, A., & Costa, L. da F. (2024). On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, 183, 114904-1-114904-7. doi:10.1016/j.chaos.2024.114904
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      Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
    • Vancouver

      Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
  • Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, RESISTÊNCIA MICROBIANA ÀS DROGAS, ESPECTROSCOPIA INFRAVERMELHA

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      PATIÑO, Claudia Patricia Barrera et al. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf. Acesso em: 28 nov. 2025.
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      Patiño, C. P. B., Soares, J. M., Blanco, K. C., Inada, N. M., & Bagnato, V. S. (2024). Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf
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      Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms [Internet]. Program. 2024 ;[citado 2025 nov. 28 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf
    • Vancouver

      Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Identification of antibiotic resistance in FTIR spectra of bacteria with machine learning algorithms [Internet]. Program. 2024 ;[citado 2025 nov. 28 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/7c/8e/af/3750dbeedd54047b99a5070e2e/abstract.pdf
  • Source: Pattern Analysis and Applications. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA

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      RIBAS, Lucas Correia et al. Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, v. 27, p. 23-1-23-12, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10044-024-01230-x. Acesso em: 28 nov. 2025.
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      Ribas, L. C., Scabini, L. F. dos S., Sá Júnior, J. J. de M., & Bruno, O. M. (2024). Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, 27, 23-1-23-12. doi:10.1007/s10044-024-01230-x
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      Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
    • Vancouver

      Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
  • Source: Chaos, Solitons and Fractals. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, ÓRBITA, FÍSICA COMPUTACIONAL

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      ALVARENGA, João Pedro do Valle e BRUNO, Odemir Martinez. Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits. Chaos, Solitons and Fractals, v. 180, p. 114488-1-114488-9, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114488. Acesso em: 28 nov. 2025.
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      Alvarenga, J. P. do V., & Bruno, O. M. (2024). Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits. Chaos, Solitons and Fractals, 180, 114488-1-114488-9. doi:10.1016/j.chaos.2024.114488
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      Alvarenga JP do V, Bruno OM. Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits [Internet]. Chaos, Solitons and Fractals. 2024 ; 180 114488-1-114488-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2024.114488
    • Vancouver

      Alvarenga JP do V, Bruno OM. Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits [Internet]. Chaos, Solitons and Fractals. 2024 ; 180 114488-1-114488-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2024.114488
  • Source: International Transactions in Operational Research. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, ALGORITMOS PARA PROCESSAMENTO, RECONHECIMENTO DE PADRÕES, NOTA FISCAL ELETRÔNICA, CORRUPÇÃO, LICITAÇÃO

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      INTERIAN, Ruben et al. Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification. International Transactions in Operational Research, v. 31, n. 3, p. 1533-1553, 2024Tradução . . Disponível em: https://doi.org/10.1111/itor.13323. Acesso em: 28 nov. 2025.
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      Interian, R., Carpanese, I., Mello, B., & Ribeiro, C. da C. C. (2024). Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification. International Transactions in Operational Research, 31( 3), 1533-1553. doi:10.1111/itor.13323
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      Interian R, Carpanese I, Mello B, Ribeiro C da CC. Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification [Internet]. International Transactions in Operational Research. 2024 ; 31( 3): 1533-1553.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1111/itor.13323
    • Vancouver

      Interian R, Carpanese I, Mello B, Ribeiro C da CC. Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification [Internet]. International Transactions in Operational Research. 2024 ; 31( 3): 1533-1553.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1111/itor.13323
  • Source: Engineering, Applications of Artificial Intelligence. Unidade: EP

    Subjects: REDES NEURAIS, LÓGICA PARACONSISTENTE, RECONHECIMENTO DE PADRÕES

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      CARVALHO JÚNIOR, Arnaldo de et al. A comprehensive review on paraconsistent annotated evidential logic: algorithms, applications and perspectives. Engineering, Applications of Artificial Intelligence, v. 127, n. Ja 2024. Article nº 107342, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.107342. Acesso em: 28 nov. 2025.
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      Carvalho Júnior, A. de, Justo Filho, J. F., Oliveira, A. M. de, & Silva Filho, J. I. da. (2024). A comprehensive review on paraconsistent annotated evidential logic: algorithms, applications and perspectives. Engineering, Applications of Artificial Intelligence, 127( Ja 2024. Article nº 107342), 1-11. doi:10.1016/J.ENGAPPAI.2023.107342
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      Carvalho Júnior A de, Justo Filho JF, Oliveira AM de, Silva Filho JI da. A comprehensive review on paraconsistent annotated evidential logic: algorithms, applications and perspectives [Internet]. Engineering, Applications of Artificial Intelligence. 2024 ; 127( Ja 2024. Article nº 107342): 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.engappai.2023.107342
    • Vancouver

      Carvalho Júnior A de, Justo Filho JF, Oliveira AM de, Silva Filho JI da. A comprehensive review on paraconsistent annotated evidential logic: algorithms, applications and perspectives [Internet]. Engineering, Applications of Artificial Intelligence. 2024 ; 127( Ja 2024. Article nº 107342): 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.engappai.2023.107342
  • Source: Program. Conference titles: International Laser Physics Workshop - LPHYS'24. Unidades: IFSC, EESC

    Subjects: CAFÉ, REDES NEURAIS, RECONHECIMENTO DE PADRÕES

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      GONÇALVES, Gustavo et al. Study of coffee bean classification using neural networks. 2024, Anais.. Bristol: Institute of Physics - IOP, 2024. Disponível em: https://www.lasphys.com/workshops/abstracts/files/2024/e6/15/38/ad6cf90fa46d7e1fe06e013869/abstract.pdf. Acesso em: 28 nov. 2025.
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      Gonçalves, G., Magalhães, D. V., Arcanjo, C., Galdames, J. P. M., & Bagnato, V. S. (2024). Study of coffee bean classification using neural networks. In Program. Bristol: Institute of Physics - IOP. Recuperado de https://www.lasphys.com/workshops/abstracts/files/2024/e6/15/38/ad6cf90fa46d7e1fe06e013869/abstract.pdf
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      Gonçalves G, Magalhães DV, Arcanjo C, Galdames JPM, Bagnato VS. Study of coffee bean classification using neural networks [Internet]. Program. 2024 ;[citado 2025 nov. 28 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/e6/15/38/ad6cf90fa46d7e1fe06e013869/abstract.pdf
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      Gonçalves G, Magalhães DV, Arcanjo C, Galdames JPM, Bagnato VS. Study of coffee bean classification using neural networks [Internet]. Program. 2024 ;[citado 2025 nov. 28 ] Available from: https://www.lasphys.com/workshops/abstracts/files/2024/e6/15/38/ad6cf90fa46d7e1fe06e013869/abstract.pdf
  • Source: Information Systems. Unidades: FMRP, ICMC

    Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, VISUALIZAÇÃO

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      JASBICK, Daniel L et al. Pushing diversity into higher dimensions: the LID effect on diversified similarity searching. Information Systems, v. 114, p. 1-16, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.is.2023.102166. Acesso em: 28 nov. 2025.
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      Jasbick, D. L., Santos, L. F. D., Azevedo-Marques, P. M. de, Traina, A. J. M., Oliveira, D. de, & Bêdo, M. V. N. (2023). Pushing diversity into higher dimensions: the LID effect on diversified similarity searching. Information Systems, 114, 1-16. doi:10.1016/j.is.2023.102166
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      Jasbick DL, Santos LFD, Azevedo-Marques PM de, Traina AJM, Oliveira D de, Bêdo MVN. Pushing diversity into higher dimensions: the LID effect on diversified similarity searching [Internet]. Information Systems. 2023 ; 114 1-16.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.is.2023.102166
    • Vancouver

      Jasbick DL, Santos LFD, Azevedo-Marques PM de, Traina AJM, Oliveira D de, Bêdo MVN. Pushing diversity into higher dimensions: the LID effect on diversified similarity searching [Internet]. Information Systems. 2023 ; 114 1-16.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.is.2023.102166
  • 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: 28 nov. 2025.
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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 2025 nov. 28 ] Available from: https://doi.org/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 2025 nov. 28 ] Available from: https://doi.org/10.1088/2632-072X/ac9446
  • Source: Acta Materialia. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, PROPRIEDADES DOS MATERIAIS, VIDRO

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      MASTELINI, Saulo Martiello et al. Machine learning unveils composition-property relationships in chalcogenide glasses. Acta Materialia, v. No 2022, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2022.118302. Acesso em: 28 nov. 2025.
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      Mastelini, S. M., Cassar, D. R., Alcobaça, E., Botari, T., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2022). Machine learning unveils composition-property relationships in chalcogenide glasses. Acta Materialia, No 2022, 1-13. doi:10.1016/j.actamat.2022.118302
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      Mastelini SM, Cassar DR, Alcobaça E, Botari T, Carvalho ACP de LF de, Zanotto ED. Machine learning unveils composition-property relationships in chalcogenide glasses [Internet]. Acta Materialia. 2022 ; No 2022 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.actamat.2022.118302
    • Vancouver

      Mastelini SM, Cassar DR, Alcobaça E, Botari T, Carvalho ACP de LF de, Zanotto ED. Machine learning unveils composition-property relationships in chalcogenide glasses [Internet]. Acta Materialia. 2022 ; No 2022 1-13.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.actamat.2022.118302
  • 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: 28 nov. 2025.
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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
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      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 2025 nov. 28 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
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      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 2025 nov. 28 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
  • Source: Experimental Gerontology. Unidades: ICMC, Interunidades em Bioengenharia

    Subjects: PROCESSAMENTO DE SINAIS, RECONHECIMENTO DE PADRÕES, TECNOLOGIAS DA SAÚDE, MARCHA (LOCOMOÇÃO), FATORES DE RISCO

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      CHIUDO, Marcela Martins et al. Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study. Experimental Gerontology, v. 168, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.exger.2022.111949. Acesso em: 28 nov. 2025.
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      Chiudo, M. M., Bet, P., Costa, G. F., Simões, M. do S. M. P., Ponti, M. A., Dourado, V. Z., & Castro, P. C. (2022). Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study. Experimental Gerontology, 168, 1-9. doi:10.1016/j.exger.2022.111949
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      Chiudo MM, Bet P, Costa GF, Simões M do SMP, Ponti MA, Dourado VZ, Castro PC. Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study [Internet]. Experimental Gerontology. 2022 ; 168 1-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.exger.2022.111949
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      Chiudo MM, Bet P, Costa GF, Simões M do SMP, Ponti MA, Dourado VZ, Castro PC. Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study [Internet]. Experimental Gerontology. 2022 ; 168 1-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.exger.2022.111949
  • Source: Chaos, Solitons and Fractals. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS

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      ALVARENGA, João Pedro do Valle e MACHICAO, Jeaneth e BRUNO, Odemir Martinez. Chaotical PRNG based on composition of logistic and tent maps using deep-zoom. Chaos, Solitons and Fractals, v. 161, p. 112296-1-112296-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.112296. Acesso em: 28 nov. 2025.
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      Alvarenga, J. P. do V., Machicao, J., & Bruno, O. M. (2022). Chaotical PRNG based on composition of logistic and tent maps using deep-zoom. Chaos, Solitons and Fractals, 161, 112296-1-112296-10. doi:10.1016/j.chaos.2022.112296
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      Alvarenga JP do V, Machicao J, Bruno OM. Chaotical PRNG based on composition of logistic and tent maps using deep-zoom [Internet]. Chaos, Solitons and Fractals. 2022 ; 161 112296-1-112296-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2022.112296
    • Vancouver

      Alvarenga JP do V, Machicao J, Bruno OM. Chaotical PRNG based on composition of logistic and tent maps using deep-zoom [Internet]. Chaos, Solitons and Fractals. 2022 ; 161 112296-1-112296-10.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.chaos.2022.112296
  • Source: International Journal of Information Management Data Insights. Unidade: EESC

    Subjects: CONHECIMENTO, RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS, ONTOLOGIA, ENGENHARIA DE PRODUÇÃO

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      MARTARELLI, Nádia Junqueira e NAGANO, Marcelo Seido. How to undertake reviews of large collections of articles and establish main contributions: an ontology-based literature review approach. International Journal of Information Management Data Insights, v. 2, n. 2, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.jjimei.2022.100091. Acesso em: 28 nov. 2025.
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      Martarelli, N. J., & Nagano, M. S. (2022). How to undertake reviews of large collections of articles and establish main contributions: an ontology-based literature review approach. International Journal of Information Management Data Insights, 2( 2), 1-8. doi:10.1016/j.jjimei.2022.100091
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      Martarelli NJ, Nagano MS. How to undertake reviews of large collections of articles and establish main contributions: an ontology-based literature review approach [Internet]. International Journal of Information Management Data Insights. 2022 ; 2( 2): 1-8.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.jjimei.2022.100091
    • Vancouver

      Martarelli NJ, Nagano MS. How to undertake reviews of large collections of articles and establish main contributions: an ontology-based literature review approach [Internet]. International Journal of Information Management Data Insights. 2022 ; 2( 2): 1-8.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.jjimei.2022.100091
  • Source: International Journal of Business Intelligence and Data Mining. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      SILVA, Kelly Cristina Ramos da e OLIVEIRA, Helder Luiz Costa de e CARVALHO, André Carlos Ponce de Leon Ferreira de. Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. International Journal of Business Intelligence and Data Mining, v. 19, n. 2, p. 135-152, 2021Tradução . . Disponível em: https://doi.org/10.1504/IJBIDM.2021.117111. Acesso em: 28 nov. 2025.
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      Silva, K. C. R. da, Oliveira, H. L. C. de, & Carvalho, A. C. P. de L. F. de. (2021). Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. International Journal of Business Intelligence and Data Mining, 19( 2), 135-152. doi:10.1504/IJBIDM.2021.117111
    • NLM

      Silva KCR da, Oliveira HLC de, Carvalho ACP de LF de. Performance evaluation of outlier rules for labelling outliers in multidimensional dataset [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 19( 2): 135-152.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1504/IJBIDM.2021.117111
    • Vancouver

      Silva KCR da, Oliveira HLC de, Carvalho ACP de LF de. Performance evaluation of outlier rules for labelling outliers in multidimensional dataset [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 19( 2): 135-152.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1504/IJBIDM.2021.117111
  • Source: Pattern Analysis and Applications. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA

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      RIBAS, Lucas Correia et al. Fractal dimension of bag‑of‑visual words. Pattern Analysis and Applications, v. 22, n. 1, p. 89-98, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10044-018-0736-x. Acesso em: 28 nov. 2025.
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      Ribas, L. C., Gonçalves, D. N., Silva, J. de A., Castro Jr., A. A. de, Bruno, O. M., & Gonçalves, W. N. (2019). Fractal dimension of bag‑of‑visual words. Pattern Analysis and Applications, 22( 1), 89-98. doi:10.1007/s10044-018-0736-x
    • NLM

      Ribas LC, Gonçalves DN, Silva J de A, Castro Jr. AA de, Bruno OM, Gonçalves WN. Fractal dimension of bag‑of‑visual words [Internet]. Pattern Analysis and Applications. 2019 ; 22( 1): 89-98.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s10044-018-0736-x
    • Vancouver

      Ribas LC, Gonçalves DN, Silva J de A, Castro Jr. AA de, Bruno OM, Gonçalves WN. Fractal dimension of bag‑of‑visual words [Internet]. Pattern Analysis and Applications. 2019 ; 22( 1): 89-98.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/s10044-018-0736-x
  • Source: Biomedical Physics & Engineering Express. Unidades: ICMC, Interunidades em Bioengenharia

    Subjects: PROCESSAMENTO DE SINAIS, RECONHECIMENTO DE PADRÕES, IDOSOS, MARCHA (LOCOMOÇÃO)

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      BET, Patricia et al. Accelerometry data analysis for identification of fallers using the six-minute walk test. Biomedical Physics & Engineering Express, v. 5, n. 6, p. 1-9, 2019Tradução . . Disponível em: https://doi.org/10.1088/2057-1976/ab43d4. Acesso em: 28 nov. 2025.
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      Bet, P., Castro, P. C., Chagas, M. H. N., & Ponti, M. A. (2019). Accelerometry data analysis for identification of fallers using the six-minute walk test. Biomedical Physics & Engineering Express, 5( 6), 1-9. doi:10.1088/2057-1976/ab43d4
    • NLM

      Bet P, Castro PC, Chagas MHN, Ponti MA. Accelerometry data analysis for identification of fallers using the six-minute walk test [Internet]. Biomedical Physics & Engineering Express. 2019 ; 5( 6): 1-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1088/2057-1976/ab43d4
    • Vancouver

      Bet P, Castro PC, Chagas MHN, Ponti MA. Accelerometry data analysis for identification of fallers using the six-minute walk test [Internet]. Biomedical Physics & Engineering Express. 2019 ; 5( 6): 1-9.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1088/2057-1976/ab43d4
  • Source: International Journal of High Performance Computing and Networking. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, BIG DATA, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS

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      ALBERTINI, Marcelo Keese e MELLO, Rodrigo Fernandes de. Estimating data stream tendencies to adapt clustering parameters. International Journal of High Performance Computing and Networking, v. 11, n. 1, p. 34-44, 2018Tradução . . Disponível em: https://doi.org/10.1504/IJHPCN.2018.088877. Acesso em: 28 nov. 2025.
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      Albertini, M. K., & Mello, R. F. de. (2018). Estimating data stream tendencies to adapt clustering parameters. International Journal of High Performance Computing and Networking, 11( 1), 34-44. doi:10.1504/IJHPCN.2018.088877
    • NLM

      Albertini MK, Mello RF de. Estimating data stream tendencies to adapt clustering parameters [Internet]. International Journal of High Performance Computing and Networking. 2018 ; 11( 1): 34-44.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1504/IJHPCN.2018.088877
    • Vancouver

      Albertini MK, Mello RF de. Estimating data stream tendencies to adapt clustering parameters [Internet]. International Journal of High Performance Computing and Networking. 2018 ; 11( 1): 34-44.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1504/IJHPCN.2018.088877

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