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Artigo de periodico
Keywords attention for fake news detection using few positive labels (2024)
Souza, Mariana Caravanti de ; Gôlo, Marcos Paulo Silva ; Jorge, Alípio Mário Guedes ; Amorim, Evelin Carvalho Freire de ; Campos, Ricardo Nuno Taborda; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, FAKE NEWS
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ABNT
SOUZA, Mariana Caravanti de et al. Keywords attention for fake news detection using few positive labels. Information Sciences, v. 663, p. 1-23, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2024.120300. Acesso em: 09 jul. 2024.
APA
Souza, M. C. de, Gôlo, M. P. S., Jorge, A. M. G., Amorim, E. C. F. de, Campos, R. N. T., Marcacini, R. M., & Rezende, S. O. (2024). Keywords attention for fake news detection using few positive labels. Information Sciences, 663, 1-23. doi:10.1016/j.ins.2024.120300
NLM
Souza MC de, Gôlo MPS, Jorge AMG, Amorim ECF de, Campos RNT, Marcacini RM, Rezende SO. Keywords attention for fake news detection using few positive labels [Internet]. Information Sciences. 2024 ; 663 1-23.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.ins.2024.120300
Vancouver
Souza MC de, Gôlo MPS, Jorge AMG, Amorim ECF de, Campos RNT, Marcacini RM, Rezende SO. Keywords attention for fake news detection using few positive labels [Internet]. Information Sciences. 2024 ; 663 1-23.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.ins.2024.120300
Artigo de periodico
Unsupervised heterogeneous graph neural networks for one-class tasks: exploring early fusion operators (2024)
Gôlo, Marcos Paulo Silva ; Moraes Junior, Marcelo Isaias de ; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Journal on Interactive Systems. Unidade: ICMC
Subjects: REDES NEURAIS, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. Unsupervised heterogeneous graph neural networks for one-class tasks: exploring early fusion operators. Journal on Interactive Systems, v. 15, n. 1, p. 517-529, 2024Tradução . . Disponível em: https://doi.org/10.5753/jis.2024.4109. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Moraes Junior, M. I. de, Goularte, R., & Marcacini, R. M. (2024). Unsupervised heterogeneous graph neural networks for one-class tasks: exploring early fusion operators. Journal on Interactive Systems, 15( 1), 517-529. doi:10.5753/jis.2024.4109
NLM
Gôlo MPS, Moraes Junior MI de, Goularte R, Marcacini RM. Unsupervised heterogeneous graph neural networks for one-class tasks: exploring early fusion operators [Internet]. Journal on Interactive Systems. 2024 ; 15( 1): 517-529.[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/jis.2024.4109
Vancouver
Gôlo MPS, Moraes Junior MI de, Goularte R, Marcacini RM. Unsupervised heterogeneous graph neural networks for one-class tasks: exploring early fusion operators [Internet]. Journal on Interactive Systems. 2024 ; 15( 1): 517-529.[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/jis.2024.4109
Artigo de periodico
The impact of representation learning on unsupervised graph neural networks for one-class recommendation (2024)
Gôlo, Marcos Paulo Silva ; Moraes, Leonardo Gonçalves de ; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS DE RECOMENDAÇÃO, REDES NEURAIS
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ABNT
GÔLO, Marcos Paulo Silva et al. The impact of representation learning on unsupervised graph neural networks for one-class recommendation. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 112-122, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3317. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Moraes, L. G. de, Goularte, R., & Marcacini, R. M. (2024). The impact of representation learning on unsupervised graph neural networks for one-class recommendation. Journal of Information and Data Management - JIDM, 15( 1), 112-122. doi:10.5753/jidm.2024.3317
NLM
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. The impact of representation learning on unsupervised graph neural networks for one-class recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 112-122.[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Vancouver
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. The impact of representation learning on unsupervised graph neural networks for one-class recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 112-122.[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Trabalho de evento
Multimodal audio emotion recognition with graph-based consensus pseudolabeling (2023)
Coutinho, Gabriel Natal ; Lima, Artur de Vlieger; Yugoshi, Juliano Koji; Moraes Junior, Marcelo Isaias de ; Gôlo, Marcos Paulo Silva ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE VOZ, MINERAÇÃO DE DADOS, EMOÇÕES
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ABNT
COUTINHO, Gabriel Natal et al. Multimodal audio emotion recognition with graph-based consensus pseudolabeling. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/eniac.2023.234481. Acesso em: 09 jul. 2024.
APA
Coutinho, G. N., Lima, A. de V., Yugoshi, J. K., Moraes Junior, M. I. de, Gôlo, M. P. S., & Marcacini, R. M. (2023). Multimodal audio emotion recognition with graph-based consensus pseudolabeling. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2023.234481
NLM
Coutinho GN, Lima A de V, Yugoshi JK, Moraes Junior MI de, Gôlo MPS, Marcacini RM. Multimodal audio emotion recognition with graph-based consensus pseudolabeling [Internet]. Anais. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/eniac.2023.234481
Vancouver
Coutinho GN, Lima A de V, Yugoshi JK, Moraes Junior MI de, Gôlo MPS, Marcacini RM. Multimodal audio emotion recognition with graph-based consensus pseudolabeling [Internet]. Anais. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/eniac.2023.234481
Trabalho de evento
On the use of early fusion operators on heterogeneous graph neural networks for one-class learning (2023)
Gôlo, Marcos Paulo Silva ; Moraes Junior, Marcelo Isaias de ; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, MULTIMÍDIA INTERATIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. On the use of early fusion operators on heterogeneous graph neural networks for one-class learning. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3617023.3617041. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Moraes Junior, M. I. de, Goularte, R., & Marcacini, R. M. (2023). On the use of early fusion operators on heterogeneous graph neural networks for one-class learning. In Proceedings. New York: ACM. doi:10.1145/3617023.3617041
NLM
Gôlo MPS, Moraes Junior MI de, Goularte R, Marcacini RM. On the use of early fusion operators on heterogeneous graph neural networks for one-class learning [Internet]. Proceedings. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1145/3617023.3617041
Vancouver
Gôlo MPS, Moraes Junior MI de, Goularte R, Marcacini RM. On the use of early fusion operators on heterogeneous graph neural networks for one-class learning [Internet]. Proceedings. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1145/3617023.3617041
Artigo de periodico
One-class learning for fake news detection through multimodal variational autoencoders (2023)
Gôlo, Marcos Paulo Silva ; Souza, Mariana Caravanti de ; Rossi, Rafael Geraldeli ; Rezende, Solange Oliveira ; Nogueira, Bruno Magalhães ; Marcacini, Ricardo Marcondes
Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, FAKE NEWS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. One-class learning for fake news detection through multimodal variational autoencoders. Engineering Applications of Artificial Intelligence, v. 122, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.106088. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Souza, M. C. de, Rossi, R. G., Rezende, S. O., Nogueira, B. M., & Marcacini, R. M. (2023). One-class learning for fake news detection through multimodal variational autoencoders. Engineering Applications of Artificial Intelligence, 122, 1-23. doi:10.1016/j.engappai.2023.106088
NLM
Gôlo MPS, Souza MC de, Rossi RG, Rezende SO, Nogueira BM, Marcacini RM. One-class learning for fake news detection through multimodal variational autoencoders [Internet]. Engineering Applications of Artificial Intelligence. 2023 ; 122 1-23.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.engappai.2023.106088
Vancouver
Gôlo MPS, Souza MC de, Rossi RG, Rezende SO, Nogueira BM, Marcacini RM. One-class learning for fake news detection through multimodal variational autoencoders [Internet]. Engineering Applications of Artificial Intelligence. 2023 ; 122 1-23.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.engappai.2023.106088
Trabalho de evento
Text representation through multimodal variational autoencoder for one-class learning (2023)
Gôlo, Marcos Paulo Silva ; Marcacini, Ricardo Marcondes
Source: Anais Estendidos. Conference titles: Simpósio Brasileiro de Sistemas Multimídia e Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO
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ABNT
GÔLO, Marcos Paulo Silva e MARCACINI, Ricardo Marcondes. Text representation through multimodal variational autoencoder for one-class learning. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/webmedia_estendido.2023.233158. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., & Marcacini, R. M. (2023). Text representation through multimodal variational autoencoder for one-class learning. In Anais Estendidos. Porto Alegre: SBC. doi:10.5753/webmedia_estendido.2023.233158
NLM
Gôlo MPS, Marcacini RM. Text representation through multimodal variational autoencoder for one-class learning [Internet]. Anais Estendidos. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/webmedia_estendido.2023.233158
Vancouver
Gôlo MPS, Marcacini RM. Text representation through multimodal variational autoencoder for one-class learning [Internet]. Anais Estendidos. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/webmedia_estendido.2023.233158
Trabalho de evento
Text representation through multimodal variational autoencoder for one-class learning (2023)
Gôlo, Marcos Paulo Silva ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Congresso da Sociedade Brasileira de Computação - CSBC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva e MARCACINI, Ricardo Marcondes. Text representation through multimodal variational autoencoder for one-class learning. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/ctd.2023.229471. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., & Marcacini, R. M. (2023). Text representation through multimodal variational autoencoder for one-class learning. In Anais. Porto Alegre: SBC. doi:10.5753/ctd.2023.229471
NLM
Gôlo MPS, Marcacini RM. Text representation through multimodal variational autoencoder for one-class learning [Internet]. Anais. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/ctd.2023.229471
Vancouver
Gôlo MPS, Marcacini RM. Text representation through multimodal variational autoencoder for one-class learning [Internet]. Anais. 2023 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/ctd.2023.229471
Dissertação (Mestrado)
Text Representation through Multimodal Variational Autoencoder for One-Class Learning (2022)
Gôlo, Marcos Paulo Silva; Marcacini, Ricardo Marcondes (Orientador)
Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, ANÁLISE DE TEXTO
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ABNT
GÔLO, Marcos Paulo Silva. Text Representation through Multimodal Variational Autoencoder for One-Class Learning. 2022. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-23052022-150550/. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S. (2022). Text Representation through Multimodal Variational Autoencoder for One-Class Learning (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-23052022-150550/
NLM
Gôlo MPS. Text Representation through Multimodal Variational Autoencoder for One-Class Learning [Internet]. 2022 ;[citado 2024 jul. 09 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-23052022-150550/
Vancouver
Gôlo MPS. Text Representation through Multimodal Variational Autoencoder for One-Class Learning [Internet]. 2022 ;[citado 2024 jul. 09 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-23052022-150550/
Artigo de periodico
Opinion mining for app reviews: an analysis of textual representation and predictive models (2022)
Araujo, Adailton Ferreira de ; Gôlo, Marcos Paulo Silva ; Marcacini, Ricardo Marcondes
Source: Automated Software Engineering. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL, ENGENHARIA DE REQUISITOS
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ABNT
ARAUJO, Adailton Ferreira de e GÔLO, Marcos Paulo Silva e MARCACINI, Ricardo Marcondes. Opinion mining for app reviews: an analysis of textual representation and predictive models. Automated Software Engineering, v. 29, n. 1, p. 1-30, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10515-021-00301-1. Acesso em: 09 jul. 2024.
APA
Araujo, A. F. de, Gôlo, M. P. S., & Marcacini, R. M. (2022). Opinion mining for app reviews: an analysis of textual representation and predictive models. Automated Software Engineering, 29( 1), 1-30. doi:10.1007/s10515-021-00301-1
NLM
Araujo AF de, Gôlo MPS, Marcacini RM. Opinion mining for app reviews: an analysis of textual representation and predictive models [Internet]. Automated Software Engineering. 2022 ; 29( 1): 1-30.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10515-021-00301-1
Vancouver
Araujo AF de, Gôlo MPS, Marcacini RM. Opinion mining for app reviews: an analysis of textual representation and predictive models [Internet]. Automated Software Engineering. 2022 ; 29( 1): 1-30.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10515-021-00301-1
Trabalho de evento
Unsupervised heterogeneous graph neural network for hit song prediction through one class learning (2022)
Silva, Angelo Cesar Mendes da; Gôlo, Marcos Paulo Silva ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO, REPRESENTAÇÃO DA INFORMAÇÃO, MÚSICA
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ABNT
SILVA, Angelo Cesar Mendes da e GÔLO, Marcos Paulo Silva e MARCACINI, Ricardo Marcondes. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227954. Acesso em: 09 jul. 2024.
APA
Silva, A. C. M. da, Gôlo, M. P. S., & Marcacini, R. M. (2022). Unsupervised heterogeneous graph neural network for hit song prediction through one class learning. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227954
NLM
Silva ACM da, Gôlo MPS, Marcacini RM. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning [Internet]. Anais. 2022 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227954
Vancouver
Silva ACM da, Gôlo MPS, Marcacini RM. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning [Internet]. Anais. 2022 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227954
Artigo de periodico
Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning (2022)
Gôlo, Marcos Paulo Silva ; Araujo, Adailton Ferreira de ; Rossi, Rafael Geraldeli ; Marcacini, Ricardo Marcondes
Source: Information and Software Technology. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, DESENVOLVIMENTO DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning. Information and Software Technology, v. No 2022, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.infsof.2022.106998. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Araujo, A. F. de, Rossi, R. G., & Marcacini, R. M. (2022). Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning. Information and Software Technology, No 2022, 1-12. doi:10.1016/j.infsof.2022.106998
NLM
Gôlo MPS, Araujo AF de, Rossi RG, Marcacini RM. Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning [Internet]. Information and Software Technology. 2022 ; No 2022 1-12.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.infsof.2022.106998
Vancouver
Gôlo MPS, Araujo AF de, Rossi RG, Marcacini RM. Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning [Internet]. Information and Software Technology. 2022 ; No 2022 1-12.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.infsof.2022.106998
Trabalho de evento
One-class recommendation through unsupervised graph neural networks for link prediction (2022)
Gôlo, Marcos Paulo Silva ; Moraes, Leonardo Gonçalves de; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. One-class recommendation through unsupervised graph neural networks for link prediction. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227810. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Moraes, L. G. de, Goularte, R., & Marcacini, R. M. (2022). One-class recommendation through unsupervised graph neural networks for link prediction. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227810
NLM
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. One-class recommendation through unsupervised graph neural networks for link prediction [Internet]. Anais. 2022 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227810
Vancouver
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. One-class recommendation through unsupervised graph neural networks for link prediction [Internet]. Anais. 2022 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/kdmile.2022.227810
Trabalho de evento
Triple-VAE: a triple variational autoencoder to represent events in one-class event detection (2021)
Gôlo, Marcos Paulo Silva ; Rossi, Rafael Geraldeli ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva e ROSSI, Rafael Geraldeli e MARCACINI, Ricardo Marcondes. Triple-VAE: a triple variational autoencoder to represent events in one-class event detection. 2021, Anais.. Porto Alegre: SBC, 2021. Disponível em: https://sol.sbc.org.br/index.php/eniac/article/view/18291. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Rossi, R. G., & Marcacini, R. M. (2021). Triple-VAE: a triple variational autoencoder to represent events in one-class event detection. In Anais. Porto Alegre: SBC. Recuperado de https://sol.sbc.org.br/index.php/eniac/article/view/18291
NLM
Gôlo MPS, Rossi RG, Marcacini RM. Triple-VAE: a triple variational autoencoder to represent events in one-class event detection [Internet]. Anais. 2021 ;[citado 2024 jul. 09 ] Available from: https://sol.sbc.org.br/index.php/eniac/article/view/18291
Vancouver
Gôlo MPS, Rossi RG, Marcacini RM. Triple-VAE: a triple variational autoencoder to represent events in one-class event detection [Internet]. Anais. 2021 ;[citado 2024 jul. 09 ] Available from: https://sol.sbc.org.br/index.php/eniac/article/view/18291
Artigo de periodico
Learning to sense from events via semantic variational autoencoder (2021)
Gôlo, Marcos Paulo Silva ; Rossi, Rafael Geraldeli ; Marcacini, Ricardo Marcondes
Source: PLOS ONE. Unidade: ICMC
Subjects: RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva e ROSSI, Rafael Geraldeli e MARCACINI, Ricardo Marcondes. Learning to sense from events via semantic variational autoencoder. PLOS ONE, v. 16, n. 2, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0260701. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Rossi, R. G., & Marcacini, R. M. (2021). Learning to sense from events via semantic variational autoencoder. PLOS ONE, 16( 2), 1-20. doi:10.1371/journal.pone.0260701
NLM
Gôlo MPS, Rossi RG, Marcacini RM. Learning to sense from events via semantic variational autoencoder [Internet]. PLOS ONE. 2021 ; 16( 2): 1-20.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1371/journal.pone.0260701
Vancouver
Gôlo MPS, Rossi RG, Marcacini RM. Learning to sense from events via semantic variational autoencoder [Internet]. PLOS ONE. 2021 ; 16( 2): 1-20.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1371/journal.pone.0260701
Trabalho de evento
Learning textual representations from multiple modalities to detect fake news through one-class learning (2021)
Gôlo, Marcos Paulo Silva ; Caravanti, Mariana; Rossi, Rafael Geraldeli ; Rezende, Solange Oliveira ; Nogueira, Bruno; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, FAKE NEWS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. Learning textual representations from multiple modalities to detect fake news through one-class learning. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3470482.3479634. Acesso em: 09 jul. 2024.
APA
Gôlo, M. P. S., Caravanti, M., Rossi, R. G., Rezende, S. O., Nogueira, B., & Marcacini, R. M. (2021). Learning textual representations from multiple modalities to detect fake news through one-class learning. In Proceedings. New York: ACM. doi:10.1145/3470482.3479634
NLM
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1145/3470482.3479634
Vancouver
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1145/3470482.3479634
Trabalho de evento
From Bag-of-Words to pre-trained neural language models: improving automatic classification of App reviews for requirements engineering (2020)
Araujo, Adailton Ferreira de; Gôlo, Marcos Paulo Silva ; Viana, Breno Mauricio de Freitas ; Sanches, Felipe Padula; Romero, Roseli Aparecida Francelin ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAUJO, Adailton Ferreira de et al. From Bag-of-Words to pre-trained neural language models: improving automatic classification of App reviews for requirements engineering. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://doi.org/10.5753/eniac.2020.12144. Acesso em: 09 jul. 2024.
APA
Araujo, A. F. de, Gôlo, M. P. S., Viana, B. M. de F., Sanches, F. P., Romero, R. A. F., & Marcacini, R. M. (2020). From Bag-of-Words to pre-trained neural language models: improving automatic classification of App reviews for requirements engineering. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2020.12144
NLM
Araujo AF de, Gôlo MPS, Viana BM de F, Sanches FP, Romero RAF, Marcacini RM. From Bag-of-Words to pre-trained neural language models: improving automatic classification of App reviews for requirements engineering [Internet]. Anais. 2020 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/eniac.2020.12144
Vancouver
Araujo AF de, Gôlo MPS, Viana BM de F, Sanches FP, Romero RAF, Marcacini RM. From Bag-of-Words to pre-trained neural language models: improving automatic classification of App reviews for requirements engineering [Internet]. Anais. 2020 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.5753/eniac.2020.12144

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