Filtros : "Multimedia Tools and Applications" "Financiamento FAPESP" Limpar

Filtros



Refine with date range


  • Source: Multimedia Tools and Applications. Unidade: ICMC

    Subjects: INTERAÇÃO USUÁRIO-COMPUTADOR, USABILIDADE DE SOFTWARE, IDOSOS

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

      OLIVEIRA, Cynthya Letícia Teles de et al. A study to guide developers in building accessible conversational systems to the older people. Multimedia Tools and Applications, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11042-025-20989-7. Acesso em: 10 nov. 2025.
    • APA

      Oliveira, C. L. T. de, Araujo, L. P. M. de, Rodrigues, K. R. da H., & Manzato, M. G. (2025). A study to guide developers in building accessible conversational systems to the older people. Multimedia Tools and Applications. doi:10.1007/s11042-025-20989-7
    • NLM

      Oliveira CLT de, Araujo LPM de, Rodrigues KR da H, Manzato MG. A study to guide developers in building accessible conversational systems to the older people [Internet]. Multimedia Tools and Applications. 2025 ;[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-025-20989-7
    • Vancouver

      Oliveira CLT de, Araujo LPM de, Rodrigues KR da H, Manzato MG. A study to guide developers in building accessible conversational systems to the older people [Internet]. Multimedia Tools and Applications. 2025 ;[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-025-20989-7
    GDS 03. Good health and well-being
  • Source: Multimedia Tools and Applications. Unidades: ICMC, IRI, EACH

    Subjects: REDES NEURAIS, CINEMA, CARTAZ, QUALIDADE DO PRODUTO, APRENDIZAGEM PROFUNDA, DESIGN GRÁFICO, PROPAGANDA PELO CINEMA

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

      SOUZA, Thais Luiza Donega e et al. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications, v. 84, p. 26877–26905, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11042-024-20174-2. Acesso em: 10 nov. 2025.
    • APA

      Souza, T. L. D. e, Ranieri, C. M., Panangadan, A., Ueyama, J., & Nishijima, M. (2025). Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications, 84, 26877–26905. doi:10.1007/s11042-024-20174-2
    • NLM

      Souza TLD e, Ranieri CM, Panangadan A, Ueyama J, Nishijima M. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning [Internet]. Multimedia Tools and Applications. 2025 ; 84 26877–26905.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
    • Vancouver

      Souza TLD e, Ranieri CM, Panangadan A, Ueyama J, Nishijima M. Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning [Internet]. Multimedia Tools and Applications. 2025 ; 84 26877–26905.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-024-20174-2
  • Source: Multimedia Tools and Applications. Unidades: STI, IME, EACH

    Subjects: SEGURANÇA PÚBLICA, GRAVAÇÃO DE VÍDEO

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

      GONCALVES, Vinicius P. M. et al. Concept drift adaptation in video surveillance: a systematic review. Multimedia Tools and Applications, v. 83, n. 4, p. 9997-10037, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-15855-3. Acesso em: 10 nov. 2025.
    • APA

      Goncalves, V. P. M., Silva, L. P., Marques, F. de L. dos S. N., Ferreira, J. E., & Araújo, L. V. de. (2024). Concept drift adaptation in video surveillance: a systematic review. Multimedia Tools and Applications, 83( 4), 9997-10037. doi:10.1007/s11042-023-15855-3
    • NLM

      Goncalves VPM, Silva LP, Marques F de L dos SN, Ferreira JE, Araújo LV de. Concept drift adaptation in video surveillance: a systematic review [Internet]. Multimedia Tools and Applications. 2024 ; 83( 4): 9997-10037.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-023-15855-3
    • Vancouver

      Goncalves VPM, Silva LP, Marques F de L dos SN, Ferreira JE, Araújo LV de. Concept drift adaptation in video surveillance: a systematic review [Internet]. Multimedia Tools and Applications. 2024 ; 83( 4): 9997-10037.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-023-15855-3
  • Source: Multimedia Tools and Applications. Unidade: ICMC

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, VISUALIZAÇÃO, RECURSOS HÍDRICOS, CLIMA

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

      BYBORDI, Arezoo et al. Canonical correlation and visual analytics for water resources analysis. Multimedia Tools and Applications, v. 83, n. 11, p. 32453-32473, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-16926-1. Acesso em: 10 nov. 2025.
    • APA

      Bybordi, A., Thampan, T., Linhares, C. D. G., Ponciano, J. R., Travençolo, B. A. N., Paiva, J. G. de S., & Etemadpour, R. (2024). Canonical correlation and visual analytics for water resources analysis. Multimedia Tools and Applications, 83( 11), 32453-32473. doi:10.1007/s11042-023-16926-1
    • NLM

      Bybordi A, Thampan T, Linhares CDG, Ponciano JR, Travençolo BAN, Paiva JG de S, Etemadpour R. Canonical correlation and visual analytics for water resources analysis [Internet]. Multimedia Tools and Applications. 2024 ; 83( 11): 32453-32473.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-023-16926-1
    • Vancouver

      Bybordi A, Thampan T, Linhares CDG, Ponciano JR, Travençolo BAN, Paiva JG de S, Etemadpour R. Canonical correlation and visual analytics for water resources analysis [Internet]. Multimedia Tools and Applications. 2024 ; 83( 11): 32453-32473.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-023-16926-1
  • Source: Multimedia Tools and Applications. Unidade: ICMC

    Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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

      RIBEIRO, Leo Sampaio Ferraz et al. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, v. 82, n. 24, p. 38117-38139, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-14282-0. Acesso em: 10 nov. 2025.
    • APA

      Ribeiro, L. S. F., Bui, T., Collomosse, J., & Ponti, M. A. (2023). Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, 82( 24), 38117-38139. doi:10.1007/s11042-022-14282-0
    • NLM

      Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
    • Vancouver

      Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
  • Source: Multimedia Tools and Applications. Unidade: ICMC

    Subjects: VISÃO COMPUTACIONAL, ENCHENTES URBANAS, SEMÂNTICA

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

      FERNANDES JUNIOR, Francisco Erivaldo e NONATO, Luis Gustavo e UEYAMA, Jó. A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, v. 81, p. 40231-40251, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12813-3. Acesso em: 10 nov. 2025.
    • APA

      Fernandes Junior, F. E., Nonato, L. G., & Ueyama, J. (2022). A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, 81, 40231-40251. doi:10.1007/s11042-022-12813-3
    • NLM

      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
    • Vancouver

      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
  • Source: Multimedia Tools and Applications. Unidade: EESC

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

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

      FERRAZ, Carolina Toledo e GONZAGA, Adilson. Object classification using a local texture descriptor and a support vector machine. Multimedia Tools and Applications, v. 76, p. 20609–20641, 2017Tradução . . Disponível em: http://dx.doi.org/10.1007/s11042-016-4003-0. Acesso em: 10 nov. 2025.
    • APA

      Ferraz, C. T., & Gonzaga, A. (2017). Object classification using a local texture descriptor and a support vector machine. Multimedia Tools and Applications, 76, 20609–20641. doi:10.1007/s11042-016-4003-0
    • NLM

      Ferraz CT, Gonzaga A. Object classification using a local texture descriptor and a support vector machine [Internet]. Multimedia Tools and Applications. 2017 ; 76 20609–20641.[citado 2025 nov. 10 ] Available from: http://dx.doi.org/10.1007/s11042-016-4003-0
    • Vancouver

      Ferraz CT, Gonzaga A. Object classification using a local texture descriptor and a support vector machine [Internet]. Multimedia Tools and Applications. 2017 ; 76 20609–20641.[citado 2025 nov. 10 ] Available from: http://dx.doi.org/10.1007/s11042-016-4003-0

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025