Menu

Filtros : "CLUSTERS" "2022" Removido: "Brasil" Limpar

Filtros

Refine with date range

  • 1

1 - 7 (7 records)

  • Artigo de periodico

    Revisiting agglomerative clustering (2022)

    Tokuda, Eric Keiji ; Comin, Cesar Henrique ; Costa, Luciano da Fontoura

    Source: Physica A. Unidade: IFSC

    Subjects: REDES COMPLEXAS, CLUSTERS, MODELAGEM DE DADOS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      TOKUDA, Eric Keiji e COMIN, Cesar Henrique e COSTA, Luciano da Fontoura. Revisiting agglomerative clustering. Physica A, v. 585, n. Ja 2022, p. 126433-1-126433-17, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2021.126433. Acesso em: 11 out. 2024.

    • APA

      Tokuda, E. K., Comin, C. H., & Costa, L. da F. (2022). Revisiting agglomerative clustering. Physica A, 585( Ja 2022), 126433-1-126433-17. doi:10.1016/j.physa.2021.126433

    • NLM

      Tokuda EK, Comin CH, Costa L da F. Revisiting agglomerative clustering [Internet]. Physica A. 2022 ; 585( Ja 2022): 126433-1-126433-17.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.physa.2021.126433

    • Vancouver

      Tokuda EK, Comin CH, Costa L da F. Revisiting agglomerative clustering [Internet]. Physica A. 2022 ; 585( Ja 2022): 126433-1-126433-17.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.physa.2021.126433

  • Artigo de periodico

    SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level (2022)

    Yuan, Jun ; Chan, Gromit Yeuk-Yin ; Barr, Brian; Overton, Kyle; Rees, Kim; Nonato, Luis Gustavo ; Bertini, Enrico ; Silva, Claudio Teixeira

    Source: IEEE Computer Graphics and Applications. Unidade: ICMC

    Subjects: CLUSTERS, VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      YUAN, Jun et al. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, v. 42, n. 6, p. 24-36, 2022Tradução . . Disponível em: https://doi.org/10.1109/MCG.2022.3199727. Acesso em: 11 out. 2024.

    • APA

      Yuan, J., Chan, G. Y. -Y., Barr, B., Overton, K., Rees, K., Nonato, L. G., et al. (2022). SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, 42( 6), 24-36. doi:10.1109/MCG.2022.3199727

    • NLM

      Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/MCG.2022.3199727

    • Vancouver

      Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/MCG.2022.3199727

  • Artigo de periodico

    Velocity dispersions of clusters in the Dark Energy Survey Y3 redMaPPer catalogue (2022)

    Wetzell, V; Lima, Marcos Vinicius Borges Teixeira

    Source: Monthly Notices of the Royal Astronomical Society. Unidade: IF

    Subjects: VELOCIDADE, CLUSTERS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      WETZELL, V e LIMA, Marcos Vinicius Borges Teixeira. Velocity dispersions of clusters in the Dark Energy Survey Y3 redMaPPer catalogue. Monthly Notices of the Royal Astronomical Society, v. 514, n. 4, p. 4696–4717, 2022Tradução . . Disponível em: https://doi.org/10.1093/mnras/stac1623. Acesso em: 11 out. 2024.

    • APA

      Wetzell, V., & Lima, M. V. B. T. (2022). Velocity dispersions of clusters in the Dark Energy Survey Y3 redMaPPer catalogue. Monthly Notices of the Royal Astronomical Society, 514( 4), 4696–4717. doi:10.1093/mnras/stac1623

    • NLM

      Wetzell V, Lima MVBT. Velocity dispersions of clusters in the Dark Energy Survey Y3 redMaPPer catalogue [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 514( 4): 4696–4717.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/mnras/stac1623

    • Vancouver

      Wetzell V, Lima MVBT. Velocity dispersions of clusters in the Dark Energy Survey Y3 redMaPPer catalogue [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 514( 4): 4696–4717.[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/mnras/stac1623

  • Artigo de periodico

    Ab initio investigation of the role of the d-states on the adsorption and activation properties of CO2 on 3d, 4d, and 5d transition-metal clusters (2022)

    Collacique, Matheus N; Restrepo, Vivianne k ; Silva, Juarez Lopes Ferreira da

    Source: The Journal of Chemical Physics. Unidade: IQSC

    Subjects: CLUSTERS, ADSORÇÃO

    PrivadoAcesso à fonteAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      COLLACIQUE, Matheus N e RESTREPO, Vivianne k e SILVA, Juarez Lopes Ferreira da. Ab initio investigation of the role of the d-states on the adsorption and activation properties of CO2 on 3d, 4d, and 5d transition-metal clusters. The Journal of Chemical Physics, v. 156, p. 124106-1, 2022Tradução . . Disponível em: https://aip.scitation.org/doi/pdf/10.1063/5.0085364. Acesso em: 11 out. 2024.

    • APA

      Collacique, M. N., Restrepo, V. k, & Silva, J. L. F. da. (2022). Ab initio investigation of the role of the d-states on the adsorption and activation properties of CO2 on 3d, 4d, and 5d transition-metal clusters. The Journal of Chemical Physics, 156, 124106-1. doi:10.1063/5.0085364

    • NLM

      Collacique MN, Restrepo V k, Silva JLF da. Ab initio investigation of the role of the d-states on the adsorption and activation properties of CO2 on 3d, 4d, and 5d transition-metal clusters [Internet]. The Journal of Chemical Physics. 2022 ;156 124106-1.[citado 2024 out. 11 ] Available from: https://aip.scitation.org/doi/pdf/10.1063/5.0085364

    • Vancouver

      Collacique MN, Restrepo V k, Silva JLF da. Ab initio investigation of the role of the d-states on the adsorption and activation properties of CO2 on 3d, 4d, and 5d transition-metal clusters [Internet]. The Journal of Chemical Physics. 2022 ;156 124106-1.[citado 2024 out. 11 ] Available from: https://aip.scitation.org/doi/pdf/10.1063/5.0085364

  • Artigo de periodico

    A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint (2022)

    Maione, Camila; Costa, Nattane Luíza da; Barbosa Júnior, Fernando; Barbosa, Rommel Melgaço

    Source: Applied Artificial Intelligence. Unidade: FCFRP

    Subjects: CIÊNCIAS JURÍDICAS, SOLO AGRÍCOLA, CLUSTERS, MINERAÇÃO DE DADOS, DATILOSCOPIA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      MAIONE, Camila et al. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint. Applied Artificial Intelligence, v. 36, n. 1, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1080/08839514.2021.2010941. Acesso em: 11 out. 2024.

    • APA

      Maione, C., Costa, N. L. da, Barbosa Júnior, F., & Barbosa, R. M. (2022). A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint. Applied Artificial Intelligence, 36( 1), 1-20. doi:10.1080/08839514.2021.2010941

    • NLM

      Maione C, Costa NL da, Barbosa Júnior F, Barbosa RM. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint [Internet]. Applied Artificial Intelligence. 2022 ; 36( 1): 1-20.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/08839514.2021.2010941

    • Vancouver

      Maione C, Costa NL da, Barbosa Júnior F, Barbosa RM. A cluster analysis methodology for the categorization of soil samples for forensic sciences based on elemental fingerprint [Internet]. Applied Artificial Intelligence. 2022 ; 36( 1): 1-20.[citado 2024 out. 11 ] Available from: https://doi.org/10.1080/08839514.2021.2010941

  • Artigo de periodico

    ELINAC: autoencoder approach for electronic invoices data clustering (2022)

    Schulte , Johannes Peter ; Giuntini, Felipe Taliar ; Nobre, Renato Avellar ; Nascimento, Khalil C ; Meneguette, Rodolfo Ipolito ; Li, Weigang ; Gonçalves, Vinicius Pereira ; Rocha Filho, Geraldo Pereira

    Source: Applied Sciences. Unidade: ICMC

    Subjects: NOTA FISCAL ELETRÔNICA, REDES NEURAIS, CLUSTERS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SCHULTE , Johannes Peter et al. ELINAC: autoencoder approach for electronic invoices data clustering. Applied Sciences, v. 12, n. 6, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12063008. Acesso em: 11 out. 2024.

    • APA

      Schulte , J. P., Giuntini, F. T., Nobre, R. A., Nascimento, K. C., Meneguette, R. I., Li, W., et al. (2022). ELINAC: autoencoder approach for electronic invoices data clustering. Applied Sciences, 12( 6), 1-19. doi:10.3390/app12063008

    • NLM

      Schulte JP, Giuntini FT, Nobre RA, Nascimento KC, Meneguette RI, Li W, Gonçalves VP, Rocha Filho GP. ELINAC: autoencoder approach for electronic invoices data clustering [Internet]. Applied Sciences. 2022 ; 12( 6): 1-19.[citado 2024 out. 11 ] Available from: https://doi.org/10.3390/app12063008

    • Vancouver

      Schulte JP, Giuntini FT, Nobre RA, Nascimento KC, Meneguette RI, Li W, Gonçalves VP, Rocha Filho GP. ELINAC: autoencoder approach for electronic invoices data clustering [Internet]. Applied Sciences. 2022 ; 12( 6): 1-19.[citado 2024 out. 11 ] Available from: https://doi.org/10.3390/app12063008

  • Artigo de periodico

    Clustering redshifts with the 21cm-galaxy cross-bispectrum (2022)

    Guandalin, Caroline ; Carucci, Isabella P.; Alonso, David; Moodley, Kavilan

    Source: Monthly Notices of the Royal Astronomical Society. Unidade: IF

    Subjects: ASTROFÍSICA, COSMOLOGIA, ESTRUTURA DO UNIVERSO, GALÁXIAS, FOTOMETRIA, CLUSTERS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      GUANDALIN, Caroline et al. Clustering redshifts with the 21cm-galaxy cross-bispectrum. Monthly Notices of the Royal Astronomical Society, v. 516, n. 2, p. 20 , 2022Tradução . . Disponível em: https://doi.org/10.1093/mnras/stac2343. Acesso em: 11 out. 2024.

    • APA

      Guandalin, C., Carucci, I. P., Alonso, D., & Moodley, K. (2022). Clustering redshifts with the 21cm-galaxy cross-bispectrum. Monthly Notices of the Royal Astronomical Society, 516( 2), 20 . doi:10.1093/mnras/stac2343

    • NLM

      Guandalin C, Carucci IP, Alonso D, Moodley K. Clustering redshifts with the 21cm-galaxy cross-bispectrum [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 516( 2): 20 .[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/mnras/stac2343

    • Vancouver

      Guandalin C, Carucci IP, Alonso D, Moodley K. Clustering redshifts with the 21cm-galaxy cross-bispectrum [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 516( 2): 20 .[citado 2024 out. 11 ] Available from: https://doi.org/10.1093/mnras/stac2343
  • 1

1 - 7 (7 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024