Araujo, Hermon Faria de; Marques, Fátima de Lourdes dos Santos Nunes 
; Lima, Ariane Machado
Source: The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). Conference titles: Annual ACM Symposium on Applied Computing. Unidade: EACH
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, FACE, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO
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ARAUJO, Hermon Faria de e MARQUES, Fátima de Lourdes dos Santos Nunes e LIMA, Ariane Machado. The impact of different facial expression intensities on the performance of pre-trained emotion recognition models. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). New York, NY: ACM. Disponível em: https://doi.org/10.1145/3477314.3507268. Acesso em: 09 nov. 2025. , 2022APA
Araujo, H. F. de, Marques, F. de L. dos S. N., & Lima, A. M. (2022). The impact of different facial expression intensities on the performance of pre-trained emotion recognition models. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). New York, NY: ACM. doi:10.1145/3477314.3507268NLM
Araujo HF de, Marques F de L dos SN, Lima AM. The impact of different facial expression intensities on the performance of pre-trained emotion recognition models [Internet]. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). 2022 ; 41-48.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1145/3477314.3507268Vancouver
Araujo HF de, Marques F de L dos SN, Lima AM. The impact of different facial expression intensities on the performance of pre-trained emotion recognition models [Internet]. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC'22). 2022 ; 41-48.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1145/3477314.3507268
