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Filtros : "Financiamento FAPESP" "CINEMA" "SOUZA, THAIS LUIZA DONEGA E" Limpar

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  • Artigo de periodico

    Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning (2025)

    Souza, Thais Luiza Donega e ; Ranieri, Caetano Mazzoni ; Panangadan, Anand ; Ueyama, Jó ; Nishijima, Marislei

    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
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    • 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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1007/s11042-024-20174-2

  • Artigo de periodico

    Is Rotten Tomatoes killing the movie industry? A regression discontinuity approach (2021)

    Nishijima, Marislei ; Rodrigues Júnior, Mauro; Souza, Thais Luiza Donega e

    Source: Applied Economics Letters. Unidades: IRI, FEA, EACH

    Subjects: INDÚSTRIA CINEMATOGRÁFICA, FILMES, FILMES, CINEMA

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    • ABNT

      NISHIJIMA, Marislei e RODRIGUES JÚNIOR, Mauro e SOUZA, Thais Luiza Donega e. Is Rotten Tomatoes killing the movie industry? A regression discontinuity approach. Applied Economics Letters, 2021Tradução . . Disponível em: https://doi.org/10.1080/13504851.2021.1918324. Acesso em: 08 out. 2025.

    • APA

      Nishijima, M., Rodrigues Júnior, M., & Souza, T. L. D. e. (2021). Is Rotten Tomatoes killing the movie industry? A regression discontinuity approach. Applied Economics Letters. doi:10.1080/13504851.2021.1918324

    • NLM

      Nishijima M, Rodrigues Júnior M, Souza TLD e. Is Rotten Tomatoes killing the movie industry? A regression discontinuity approach [Internet]. Applied Economics Letters. 2021 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/13504851.2021.1918324

    • Vancouver

      Nishijima M, Rodrigues Júnior M, Souza TLD e. Is Rotten Tomatoes killing the movie industry? A regression discontinuity approach [Internet]. Applied Economics Letters. 2021 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1080/13504851.2021.1918324
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