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  • Source: Neural Computing and Applications. Unidade: ICMC

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL, PÁSSAROS, ANURA

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      DIAS, Fabio Felix e PONTI, Moacir Antonelli e MINGHIM, Rosane. A classification and quantification approach to generate features in soundscape ecology using neural networks. Neural Computing and Applications, v. 34, n. 3, p. 1923-1937, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00521-021-06501-w. Acesso em: 06 out. 2024.
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      Dias, F. F., Ponti, M. A., & Minghim, R. (2022). A classification and quantification approach to generate features in soundscape ecology using neural networks. Neural Computing and Applications, 34( 3), 1923-1937. doi:10.1007/s00521-021-06501-w
    • NLM

      Dias FF, Ponti MA, Minghim R. A classification and quantification approach to generate features in soundscape ecology using neural networks [Internet]. Neural Computing and Applications. 2022 ; 34( 3): 1923-1937.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s00521-021-06501-w
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      Dias FF, Ponti MA, Minghim R. A classification and quantification approach to generate features in soundscape ecology using neural networks [Internet]. Neural Computing and Applications. 2022 ; 34( 3): 1923-1937.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s00521-021-06501-w
  • Source: Emerging Markets Finance and Trade. Unidades: ICMC, FFCLRP

    Subjects: EDUCAÇÃO FINANCEIRA, RECONHECIMENTO DE TEXTO

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      SILVA, Thiago Christiano et al. Financial literacy and the perceived value of stress testing: an experiment using students in Brazil. Emerging Markets Finance and Trade, v. 58, n. 4, p. 965-996, 2022Tradução . . Disponível em: https://doi.org/10.1080/1540496X.2020.1856070. Acesso em: 06 out. 2024.
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      Silva, T. C., Braz, T., Amancio, D. R., & Tabak, B. M. (2022). Financial literacy and the perceived value of stress testing: an experiment using students in Brazil. Emerging Markets Finance and Trade, 58( 4), 965-996. doi:10.1080/1540496X.2020.1856070
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      Silva TC, Braz T, Amancio DR, Tabak BM. Financial literacy and the perceived value of stress testing: an experiment using students in Brazil [Internet]. Emerging Markets Finance and Trade. 2022 ; 58( 4): 965-996.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/1540496X.2020.1856070
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      Silva TC, Braz T, Amancio DR, Tabak BM. Financial literacy and the perceived value of stress testing: an experiment using students in Brazil [Internet]. Emerging Markets Finance and Trade. 2022 ; 58( 4): 965-996.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/1540496X.2020.1856070
  • Source: Complex Variables and Elliptic Equations. Unidade: ICMC

    Subjects: EQUAÇÕES DIFERENCIAIS PARCIAIS DE 1ª ORDEM, EQUAÇÕES DIFERENCIAIS PARCIAIS NÃO LINEARES

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      DATTORI DA SILVA, Paulo Leandro e ZAPATA, Miguel Angel Cuayla. Gevrey semiglobal solvability for a class of complex vector fields. Complex Variables and Elliptic Equations, v. 67, n. 9, p. 2076-2086, 2022Tradução . . Disponível em: https://doi.org/10.1080/17476933.2021.1913732. Acesso em: 06 out. 2024.
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      Dattori da Silva, P. L., & Zapata, M. A. C. (2022). Gevrey semiglobal solvability for a class of complex vector fields. Complex Variables and Elliptic Equations, 67( 9), 2076-2086. doi:10.1080/17476933.2021.1913732
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      Dattori da Silva PL, Zapata MAC. Gevrey semiglobal solvability for a class of complex vector fields [Internet]. Complex Variables and Elliptic Equations. 2022 ; 67( 9): 2076-2086.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/17476933.2021.1913732
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      Dattori da Silva PL, Zapata MAC. Gevrey semiglobal solvability for a class of complex vector fields [Internet]. Complex Variables and Elliptic Equations. 2022 ; 67( 9): 2076-2086.[citado 2024 out. 06 ] Available from: https://doi.org/10.1080/17476933.2021.1913732
  • Source: Proceedings of the Royal Society of Edinburgh. Unidade: ICMC

    Subjects: TEORIA DO ÍNDICE, SISTEMAS DINÂMICOS, EQUAÇÕES DIFERENCIAIS FUNCIONAIS

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      CARBINATTO, Maria do Carmo e RYBAKOWSKI, Krzysztof P. Conley index for manifold-valued retarded functional differential equations without uniqueness of solutions. Proceedings of the Royal Society of Edinburgh, v. 152, n. 2, p. 428-449, 2022Tradução . . Disponível em: https://doi.org/10.1017/prm.2021.15. Acesso em: 06 out. 2024.
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      Carbinatto, M. do C., & Rybakowski, K. P. (2022). Conley index for manifold-valued retarded functional differential equations without uniqueness of solutions. Proceedings of the Royal Society of Edinburgh, 152( 2), 428-449. doi:10.1017/prm.2021.15
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      Carbinatto M do C, Rybakowski KP. Conley index for manifold-valued retarded functional differential equations without uniqueness of solutions [Internet]. Proceedings of the Royal Society of Edinburgh. 2022 ; 152( 2): 428-449.[citado 2024 out. 06 ] Available from: https://doi.org/10.1017/prm.2021.15
    • Vancouver

      Carbinatto M do C, Rybakowski KP. Conley index for manifold-valued retarded functional differential equations without uniqueness of solutions [Internet]. Proceedings of the Royal Society of Edinburgh. 2022 ; 152( 2): 428-449.[citado 2024 out. 06 ] Available from: https://doi.org/10.1017/prm.2021.15
  • Source: Journal of the Institute of Mathematics of Jussieu. Unidades: ICMC, IME

    Subjects: ESPAÇOS DE INTERPOLAÇÃO, ESPAÇOS DE BANACH, HOMOLOGIA

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      CASTILLO, Jesús M. F et al. On the stability of the differential process generated by complex interpolation. Journal of the Institute of Mathematics of Jussieu, v. 21, n. Ja 2022, p. 303-334, 2022Tradução . . Disponível em: https://doi.org/10.1017/S1474748020000080. Acesso em: 06 out. 2024.
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      Castillo, J. M. F., Corrêa, W. H. G., Ferenczi, V., & González, M. (2022). On the stability of the differential process generated by complex interpolation. Journal of the Institute of Mathematics of Jussieu, 21( Ja 2022), 303-334. doi:10.1017/S1474748020000080
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      Castillo JMF, Corrêa WHG, Ferenczi V, González M. On the stability of the differential process generated by complex interpolation [Internet]. Journal of the Institute of Mathematics of Jussieu. 2022 ; 21( Ja 2022): 303-334.[citado 2024 out. 06 ] Available from: https://doi.org/10.1017/S1474748020000080
    • Vancouver

      Castillo JMF, Corrêa WHG, Ferenczi V, González M. On the stability of the differential process generated by complex interpolation [Internet]. Journal of the Institute of Mathematics of Jussieu. 2022 ; 21( Ja 2022): 303-334.[citado 2024 out. 06 ] Available from: https://doi.org/10.1017/S1474748020000080
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, MULTIMÍDIA INTERATIVA

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      SILVA, Diego Corrêa da e MANZATO, Marcelo Garcia e DURÃO, Frederico Araujo. Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, v. No 2021, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115112. Acesso em: 06 out. 2024.
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      Silva, D. C. da, Manzato, M. G., & Durão, F. A. (2021). Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, No 2021, 1-20. doi:10.1016/j.eswa.2021.115112
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      Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
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      Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
  • Source: Applied Acoustics. Unidade: ICMC

    Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS, MÚSICA

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      FERREIRA, Martha Dais e MELLO, Rodrigo Fernandes de. Time complexity evaluation of cover song identification algorithms. Applied Acoustics, v. 175, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.apacoust.2020.107777. Acesso em: 06 out. 2024.
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      Ferreira, M. D., & Mello, R. F. de. (2021). Time complexity evaluation of cover song identification algorithms. Applied Acoustics, 175, 1-11. doi:10.1016/j.apacoust.2020.107777
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      Ferreira MD, Mello RF de. Time complexity evaluation of cover song identification algorithms [Internet]. Applied Acoustics. 2021 ; 175 1-11.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.apacoust.2020.107777
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      Ferreira MD, Mello RF de. Time complexity evaluation of cover song identification algorithms [Internet]. Applied Acoustics. 2021 ; 175 1-11.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.apacoust.2020.107777
  • Source: Nucleic Acids Research. Unidade: ICMC

    Subjects: GENÔMICA, MINERAÇÃO DE DADOS

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      KASMANAS, Jonas Coelho et al. HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. Nucleic Acids Research, v. 49, n. Ja 2021, p. D743–D750, 2021Tradução . . Disponível em: https://doi.org/10.1093/nar/gkaa1031. Acesso em: 06 out. 2024.
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      Kasmanas, J. C., Bartholomäus, A., Corrêa, F. B., Tal, T., Jehmlich, N., Herberth, G., et al. (2021). HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. Nucleic Acids Research, 49( Ja 2021), D743–D750. doi:10.1093/nar/gkaa1031
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      Kasmanas JC, Bartholomäus A, Corrêa FB, Tal T, Jehmlich N, Herberth G, Bergen M von, Stadler PF, Carvalho ACP de LF de, Rocha UN da. HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes [Internet]. Nucleic Acids Research. 2021 ; 49( Ja 2021): D743–D750.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/nar/gkaa1031
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      Kasmanas JC, Bartholomäus A, Corrêa FB, Tal T, Jehmlich N, Herberth G, Bergen M von, Stadler PF, Carvalho ACP de LF de, Rocha UN da. HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes [Internet]. Nucleic Acids Research. 2021 ; 49( Ja 2021): D743–D750.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/nar/gkaa1031
  • Source: Experimental Gerontology. Unidades: ICMC, BIOENGENHARIA

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

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      BET, Patricia e CASTRO, Paula Costa e PONTI, Moacir Antonelli. Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls. Experimental Gerontology, v. 143, n. Ja 2021, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.exger.2020.111139. Acesso em: 06 out. 2024.
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      Bet, P., Castro, P. C., & Ponti, M. A. (2021). Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls. Experimental Gerontology, 143( Ja 2021), 1-8. doi:10.1016/j.exger.2020.111139
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      Bet P, Castro PC, Ponti MA. Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls [Internet]. Experimental Gerontology. 2021 ; 143( Ja 2021): 1-8.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.exger.2020.111139
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      Bet P, Castro PC, Ponti MA. Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls [Internet]. Experimental Gerontology. 2021 ; 143( Ja 2021): 1-8.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.exger.2020.111139
  • Source: Briefings in Bioinformatics. Unidade: ICMC

    Subjects: BIOINFORMÁTICA, GENÔMICA, REDES COMPLEXAS, ENTROPIA

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      BONIDIA, Robson Parmezan et al. Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, v. 22, n. 5, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab011. Acesso em: 06 out. 2024.
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      Bonidia, R. P., Sampaio, L. D. H., Domingues, D. S., Paschoal, A. R., Lopes, F. M., Carvalho, A. C. P. de L. F. de, & Sanches, D. S. (2021). Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, 22( 5), Se 2021. doi:10.1093/bib/bbab011
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      Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/bib/bbab011
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      Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/bib/bbab011
  • Source: npj Systems Biology and Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS

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      LOPES, Tiago José da Silva et al. Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, v. 7, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41540-021-00183-9. Acesso em: 06 out. 2024.
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      Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, 7, 1-8. doi:10.1038/s41540-021-00183-9
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      Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 out. 06 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
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      Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 out. 06 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
  • Source: International Journal of Advanced Manufacturing Technology. Unidade: ICMC

    Subjects: INDÚSTRIA 4.0, BIG DATA, COMPUTAÇÃO EM NUVEM, INTELIGÊNCIA ARTIFICIAL

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      BONNARD, Renan et al. Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context. International Journal of Advanced Manufacturing Technology, v. No 2021, n. 5-6, p. 1959-1973, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00170-021-07834-5. Acesso em: 06 out. 2024.
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      Bonnard, R., Arantes, M. da S., Lorbieski, R., Vieira, K. M. M., & Nunes, M. C. (2021). Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context. International Journal of Advanced Manufacturing Technology, No 2021( 5-6), 1959-1973. doi:10.1007/s00170-021-07834-5
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      Bonnard R, Arantes M da S, Lorbieski R, Vieira KMM, Nunes MC. Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context [Internet]. International Journal of Advanced Manufacturing Technology. 2021 ; No 2021( 5-6): 1959-1973.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s00170-021-07834-5
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      Bonnard R, Arantes M da S, Lorbieski R, Vieira KMM, Nunes MC. Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context [Internet]. International Journal of Advanced Manufacturing Technology. 2021 ; No 2021( 5-6): 1959-1973.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s00170-021-07834-5
  • Source: Knowledge and Information Systems. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS

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      SOUZA, Vinícius Mourão Alves de et al. Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, v. 63, n. 6, p. 1497-1527, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10115-021-01564-6. Acesso em: 06 out. 2024.
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      Souza, V. M. A. de, Parmezan, A. R. S., Chowdhury, F. A., & Mueen, A. (2021). Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowledge and Information Systems, 63( 6), 1497-1527. doi:10.1007/s10115-021-01564-6
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      Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
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      Souza VMA de, Parmezan ARS, Chowdhury FA, Mueen A. Efficient unsupervised drift detector for fast and high-dimensional data streams [Internet]. Knowledge and Information Systems. 2021 ; 63( 6): 1497-1527.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s10115-021-01564-6
  • Source: Computers & Graphics. Unidade: ICMC

    Subjects: VISUALIZAÇÃO, REDES COMPLEXAS

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      PONCIANO, Jean Roberto et al. An online and nonuniform timeslicing method for network visualisation. Computers & Graphics, v. 97, p. 170-182, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2021.04.006. Acesso em: 06 out. 2024.
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      Ponciano, J. R., Linhares, C. D. G., Faria, E. R., & Travençolo, B. A. N. (2021). An online and nonuniform timeslicing method for network visualisation. Computers & Graphics, 97, 170-182. doi:10.1016/j.cag.2021.04.006
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      Ponciano JR, Linhares CDG, Faria ER, Travençolo BAN. An online and nonuniform timeslicing method for network visualisation [Internet]. Computers & Graphics. 2021 ; 97 170-182.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.cag.2021.04.006
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      Ponciano JR, Linhares CDG, Faria ER, Travençolo BAN. An online and nonuniform timeslicing method for network visualisation [Internet]. Computers & Graphics. 2021 ; 97 170-182.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.cag.2021.04.006
  • Source: Nonlinearity. Unidade: ICMC

    Subjects: SISTEMAS DINÂMICOS, TEORIA ERGÓDICA, ENTROPIA

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      TAHZIBI, Ali. Unstable entropy in smooth ergodic theory. Nonlinearity, v. 34, n. 8, p. R75-R118, 2021Tradução . . Disponível em: https://doi.org/10.1088/1361-6544/abd7c7. Acesso em: 06 out. 2024.
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      Tahzibi, A. (2021). Unstable entropy in smooth ergodic theory. Nonlinearity, 34( 8), R75-R118. doi:10.1088/1361-6544/abd7c7
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      Tahzibi A. Unstable entropy in smooth ergodic theory [Internet]. Nonlinearity. 2021 ; 34( 8): R75-R118.[citado 2024 out. 06 ] Available from: https://doi.org/10.1088/1361-6544/abd7c7
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      Tahzibi A. Unstable entropy in smooth ergodic theory [Internet]. Nonlinearity. 2021 ; 34( 8): R75-R118.[citado 2024 out. 06 ] Available from: https://doi.org/10.1088/1361-6544/abd7c7
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, HOMOLOGIA, ESPAÇOS TOPOLÓGICOS

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      VAZ, Yule e MELLO, Rodrigo Fernandes de e GROSSI, Carlos Henrique. Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, v. 184, p. 1-28, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115399. Acesso em: 06 out. 2024.
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      Vaz, Y., Mello, R. F. de, & Grossi, C. H. (2021). Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, 184, 1-28. doi:10.1016/j.eswa.2021.115399
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      Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
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      Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
  • Source: Computers and Electronics in Agriculture. Unidade: ICMC

    Subjects: AGRICULTURA DE PRECISÃO, PECUÁRIA, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, AERONAVES NÃO TRIPULADAS

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      SOARES, Victor Hugo Andrade et al. Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, v. 189, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106354. Acesso em: 06 out. 2024.
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      Soares, V. H. A., Ponti, M. A., Gonçalves, R. A., & Campello, R. J. G. B. (2021). Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, 189, 1-14. doi:10.1016/j.compag.2021.106354
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      Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
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      Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
  • Source: Nucleic Acids Research. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, GENES

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      ALKHNBASHI, Omer S et al. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Research, v. 49, p. w125-w130, 2021Tradução . . Disponível em: https://doi.org/10.1093/nar/gkab456. Acesso em: 06 out. 2024.
    • APA

      Alkhnbashi, O. S., Mitrofanov, A., Bonidia, R. P., Raden, M., Tran, V. D., Eggenhofer, F., et al. (2021). CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Research, 49, w125-w130. doi:10.1093/nar/gkab456
    • NLM

      Alkhnbashi OS, Mitrofanov A, Bonidia RP, Raden M, Tran VD, Eggenhofer F, Shah SA, Ozturk E, Padilha VA, Sanches DS, Carvalho ACP de LF de, Backofen R. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems [Internet]. Nucleic Acids Research. 2021 ; 49 w125-w130.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/nar/gkab456
    • Vancouver

      Alkhnbashi OS, Mitrofanov A, Bonidia RP, Raden M, Tran VD, Eggenhofer F, Shah SA, Ozturk E, Padilha VA, Sanches DS, Carvalho ACP de LF de, Backofen R. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems [Internet]. Nucleic Acids Research. 2021 ; 49 w125-w130.[citado 2024 out. 06 ] Available from: https://doi.org/10.1093/nar/gkab456
  • Source: Nonlinear Analysis : Real World Applications. Unidade: ICMC

    Subjects: INVARIANTES, SISTEMAS DIFERENCIAIS, SISTEMAS DINÂMICOS, TEORIA QUALITATIVA

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      MEZA-SARMIENTO, Ingrid Sofia e OLIVEIRA, Regilene Delazari dos Santos e SILVA, Paulo Ricardo da. Quadratic slow-fast systems on the plane. Nonlinear Analysis : Real World Applications, v. 60, p. 1-29, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.nonrwa.2020.103286. Acesso em: 06 out. 2024.
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      Meza-Sarmiento, I. S., Oliveira, R. D. dos S., & Silva, P. R. da. (2021). Quadratic slow-fast systems on the plane. Nonlinear Analysis : Real World Applications, 60, 1-29. doi:10.1016/j.nonrwa.2020.103286
    • NLM

      Meza-Sarmiento IS, Oliveira RD dos S, Silva PR da. Quadratic slow-fast systems on the plane [Internet]. Nonlinear Analysis : Real World Applications. 2021 ; 60 1-29.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.nonrwa.2020.103286
    • Vancouver

      Meza-Sarmiento IS, Oliveira RD dos S, Silva PR da. Quadratic slow-fast systems on the plane [Internet]. Nonlinear Analysis : Real World Applications. 2021 ; 60 1-29.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.nonrwa.2020.103286
  • Source: Biomedical Signal Processing and Control. Unidade: ICMC

    Subjects: PROCESSAMENTO DE SINAIS BIOMÉDICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ELETROENCEFALOGRAFIA, EPILEPSIA, TECNOLOGIAS DA SAÚDE

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      OLIVA, Jefferson Tales e ROSA, João Luís Garcia. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection. Biomedical Signal Processing and Control, v. 66, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.102469. Acesso em: 06 out. 2024.
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      Oliva, J. T., & Rosa, J. L. G. (2021). Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection. Biomedical Signal Processing and Control, 66, 1-16. doi:10.1016/j.bspc.2021.102469
    • NLM

      Oliva JT, Rosa JLG. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection [Internet]. Biomedical Signal Processing and Control. 2021 ; 66 1-16.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.bspc.2021.102469
    • Vancouver

      Oliva JT, Rosa JLG. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection [Internet]. Biomedical Signal Processing and Control. 2021 ; 66 1-16.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.bspc.2021.102469

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