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Trabalho de evento
Weak supervision for question and answering sentiment analysis (2023)
Tomita, Victor Akihito Kamada ; Lobato, Fábio Manoel França; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, EMOÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMITA, Victor Akihito Kamada e LOBATO, Fábio Manoel França e MARCACINI, Ricardo Marcondes. Weak supervision for question and answering sentiment analysis. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICMLA58977.2023.00287. Acesso em: 16 nov. 2024.
APA
Tomita, V. A. K., Lobato, F. M. F., & Marcacini, R. M. (2023). Weak supervision for question and answering sentiment analysis. In Proceedings. Piscataway: IEEE. doi:10.1109/ICMLA58977.2023.00287
NLM
Tomita VAK, Lobato FMF, Marcacini RM. Weak supervision for question and answering sentiment analysis [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA58977.2023.00287
Vancouver
Tomita VAK, Lobato FMF, Marcacini RM. Weak supervision for question and answering sentiment analysis [Internet]. Proceedings. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA58977.2023.00287
Artigo de periodico
Characterizing data patterns with core-periphery network modeling (2023)
Jianglong, Yan; Anghinoni, Leandro ; Yu-Tao, Zhu; Weiguang, Liu; Gen, Li; Qiusheng, Zheng; Liang, Zhao
Source: Journal of Computational Science. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, RADIOGRAFIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JIANGLONG, Yan et al. Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, v. 66, n. Ja 2023, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jocs.2022.101912. Acesso em: 16 nov. 2024.
APA
Jianglong, Y., Anghinoni, L., Yu-Tao, Z., Weiguang, L., Gen, L., Qiusheng, Z., & Liang, Z. (2023). Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, 66( Ja 2023), 1-13. doi:10.1016/j.jocs.2022.101912
NLM
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912
Vancouver
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912
Trabalho de evento
Heterogeneous graph neural network for music emotion recognition (2022)
Silva, Angelo Cesar Mendes da; Silva, Diego Furtado ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: International Society for Music Information Retrieval Conference - ISMIR. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, APRENDIZADO COMPUTACIONAL, MÚSICA, EMOÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Angelo Cesar Mendes da e SILVA, Diego Furtado e MARCACINI, Ricardo Marcondes. Heterogeneous graph neural network for music emotion recognition. 2022, Anais.. Bengaluru: International Society for Music Information Retrieval, 2022. Disponível em: https://ismir2022program.ismir.net/poster_282.html. Acesso em: 16 nov. 2024.
APA
Silva, A. C. M. da, Silva, D. F., & Marcacini, R. M. (2022). Heterogeneous graph neural network for music emotion recognition. In Proceedings. Bengaluru: International Society for Music Information Retrieval. Recuperado de https://ismir2022program.ismir.net/poster_282.html
NLM
Silva ACM da, Silva DF, Marcacini RM. Heterogeneous graph neural network for music emotion recognition [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://ismir2022program.ismir.net/poster_282.html
Vancouver
Silva ACM da, Silva DF, Marcacini RM. Heterogeneous graph neural network for music emotion recognition [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://ismir2022program.ismir.net/poster_282.html
Trabalho de evento
Sentence similarity recognition in portuguese from multiple embedding models (2022)
Rodrigues, Ana Carolina; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: IEEE International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, REDES NEURAIS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Ana Carolina e MARCACINI, Ricardo Marcondes. Sentence similarity recognition in portuguese from multiple embedding models. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/ICMLA55696.2022.00029. Acesso em: 16 nov. 2024.
APA
Rodrigues, A. C., & Marcacini, R. M. (2022). Sentence similarity recognition in portuguese from multiple embedding models. In Proceedings. Piscataway: IEEE. doi:10.1109/ICMLA55696.2022.00029
NLM
Rodrigues AC, Marcacini RM. Sentence similarity recognition in portuguese from multiple embedding models [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA55696.2022.00029
Vancouver
Rodrigues AC, Marcacini RM. Sentence similarity recognition in portuguese from multiple embedding models [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICMLA55696.2022.00029

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