ReP USP - Resultado da busca

Trabalho de evento
UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition (2024)
Albuquerque, Hidelberg Oliveira ; Souza, Ellen Polliana Ramos ; Silva, Tainan; Gouveia, Rafael P; Rocha Junior, Flávio Cordeiro; Vitório, Douglas ; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de ; Andrade, Francisco Edmundo de
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALBUQUERQUE, Hidelberg Oliveira et al. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.35. Acesso em: 14 nov. 2024.
APA
Albuquerque, H. O., Souza, E. P. R., Silva, T., Gouveia, R. P., Rocha Junior, F. C., Vitório, D., et al. (2024). UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.35
NLM
Albuquerque HO, Souza EPR, Silva T, Gouveia RP, Rocha Junior FC, Vitório D, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://aclanthology.org/2024.propor-1.35
Vancouver
Albuquerque HO, Souza EPR, Silva T, Gouveia RP, Rocha Junior FC, Vitório D, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://aclanthology.org/2024.propor-1.35
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
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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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1016/j.engappai.2023.106088
Artigo de periodico
Temporal dynamics of requirements engineering from mobile app reviews (2022)
Lima, Vitor Mesaque Alves de; Araujo, Adailton Ferreira de ; Marcacini, Ricardo Marcondes
Source: PeerJ Computer Science. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, ANÁLISE DE REQUISITOS, APLICATIVOS MÓVEIS
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ABNT
LIMA, Vitor Mesaque Alves de e ARAUJO, Adailton Ferreira de e MARCACINI, Ricardo Marcondes. Temporal dynamics of requirements engineering from mobile app reviews. PeerJ Computer Science, v. 8, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.7717/peerj-cs.874. Acesso em: 14 nov. 2024.
APA
Lima, V. M. A. de, Araujo, A. F. de, & Marcacini, R. M. (2022). Temporal dynamics of requirements engineering from mobile app reviews. PeerJ Computer Science, 8, 1-26. doi:10.7717/peerj-cs.874
NLM
Lima VMA de, Araujo AF de, Marcacini RM. Temporal dynamics of requirements engineering from mobile app reviews [Internet]. PeerJ Computer Science. 2022 ; 8 1-26.[citado 2024 nov. 14 ] Available from: https://doi.org/10.7717/peerj-cs.874
Vancouver
Lima VMA de, Araujo AF de, Marcacini RM. Temporal dynamics of requirements engineering from mobile app reviews [Internet]. PeerJ Computer Science. 2022 ; 8 1-26.[citado 2024 nov. 14 ] Available from: https://doi.org/10.7717/peerj-cs.874
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1007/s10515-021-00301-1
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
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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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1016/j.infsof.2022.106998
Trabalho de evento-anais periodico
Sequential short-text classification from multiple textual representations with weak supervision (2022)
Reis Filho, Ivan José ; Martins, Luiz Henrique Dutra ; Parmezan, Antonio Rafael Sabino ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
REIS FILHO, Ivan José et al. Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-21686-2_12. Acesso em: 14 nov. 2024. , 2022
APA
Reis Filho, I. J., Martins, L. H. D., Parmezan, A. R. S., Marcacini, R. M., & Rezende, S. O. (2022). Sequential short-text classification from multiple textual representations with weak supervision. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-21686-2_12
NLM
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Vancouver
Reis Filho IJ, Martins LHD, Parmezan ARS, Marcacini RM, Rezende SO. Sequential short-text classification from multiple textual representations with weak supervision [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13653 165-179.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-031-21686-2_12
Artigo de periodico
A graph-based approach for positive and unlabeled learning (2021)
Carnevali, Julio César ; Rossi, Rafael Geraldeli ; Milios, Evangelos ; Lopes, Alneu de Andrade
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
CARNEVALI, Julio César et al. A graph-based approach for positive and unlabeled learning. Information Sciences, v. No 2021, p. 655-672, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.08.099. Acesso em: 14 nov. 2024.
APA
Carnevali, J. C., Rossi, R. G., Milios, E., & Lopes, A. de A. (2021). A graph-based approach for positive and unlabeled learning. Information Sciences, No 2021, 655-672. doi:10.1016/j.ins.2021.08.099
NLM
Carnevali JC, Rossi RG, Milios E, Lopes A de A. A graph-based approach for positive and unlabeled learning [Internet]. Information Sciences. 2021 ; No 2021 655-672.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2021.08.099
Vancouver
Carnevali JC, Rossi RG, Milios E, Lopes A de A. A graph-based approach for positive and unlabeled learning [Internet]. Information Sciences. 2021 ; No 2021 655-672.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2021.08.099
Trabalho de evento
Multimodal intent classification with incomplete modalities using text embedding propagation (2021)
Gonzaga, Victor Machado; Murrugarra-Llerena, Nils ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, RECONHECIMENTO DE IMAGEM, MÍDIAS SOCIAIS
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ABNT
GONZAGA, Victor Machado e MURRUGARRA-LLERENA, Nils e MARCACINI, Ricardo Marcondes. Multimodal intent classification with incomplete modalities using text embedding propagation. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3470482.3479636. Acesso em: 14 nov. 2024.
APA
Gonzaga, V. M., Murrugarra-Llerena, N., & Marcacini, R. M. (2021). Multimodal intent classification with incomplete modalities using text embedding propagation. In Proceedings. New York: ACM. doi:10.1145/3470482.3479636
NLM
Gonzaga VM, Murrugarra-Llerena N, Marcacini RM. Multimodal intent classification with incomplete modalities using text embedding propagation [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/3470482.3479636
Vancouver
Gonzaga VM, Murrugarra-Llerena N, Marcacini RM. Multimodal intent classification with incomplete modalities using text embedding propagation [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/3470482.3479636
Artigo de periodico
PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings (2021)
Pinto, Ricardo A. M; Bernardini, Flávia Cristina ; Marcacini, Ricardo Marcondes
Source: International Journal of Business Intelligence and Data Mining. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, GESTÃO DE PROJETOS
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ABNT
PINTO, Ricardo A. M e BERNARDINI, Flávia Cristina e MARCACINI, Ricardo Marcondes. PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. International Journal of Business Intelligence and Data Mining, v. 18, n. 3, p. 364-382, 2021Tradução . . Disponível em: https://doi.org/10.1504/IJBIDM.2021.114469. Acesso em: 14 nov. 2024.
APA
Pinto, R. A. M., Bernardini, F. C., & Marcacini, R. M. (2021). PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. International Journal of Business Intelligence and Data Mining, 18( 3), 364-382. doi:10.1504/IJBIDM.2021.114469
NLM
Pinto RAM, Bernardini FC, Marcacini RM. PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 18( 3): 364-382.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1504/IJBIDM.2021.114469
Vancouver
Pinto RAM, Bernardini FC, Marcacini RM. PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 18( 3): 364-382.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1504/IJBIDM.2021.114469
Artigo de periodico
Multi-domain aspect extraction using bidirectional encoder representations from transformers (2021)
Santos, Brucce Neves dos ; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: IEEE Access. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Brucce Neves dos e MARCACINI, Ricardo Marcondes e REZENDE, Solange Oliveira. Multi-domain aspect extraction using bidirectional encoder representations from transformers. IEEE Access, v. 9, p. 91604-91613, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3089099. Acesso em: 14 nov. 2024.
APA
Santos, B. N. dos, Marcacini, R. M., & Rezende, S. O. (2021). Multi-domain aspect extraction using bidirectional encoder representations from transformers. IEEE Access, 9, 91604-91613. doi:10.1109/ACCESS.2021.3089099
NLM
Santos BN dos, Marcacini RM, Rezende SO. Multi-domain aspect extraction using bidirectional encoder representations from transformers [Internet]. IEEE Access. 2021 ; 9 91604-91613.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ACCESS.2021.3089099
Vancouver
Santos BN dos, Marcacini RM, Rezende SO. Multi-domain aspect extraction using bidirectional encoder representations from transformers [Internet]. IEEE Access. 2021 ; 9 91604-91613.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ACCESS.2021.3089099
Trabalho de evento
Hierarchical cluster labeling of software requirements using contextual word embeddings (2021)
Araujo, Adailton Ferreira de ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: Brazilian Symposium on Software Engineering - SBES. Unidade: ICMC
Subjects: ENGENHARIA DE REQUISITOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
ARAUJO, Adailton Ferreira de e MARCACINI, Ricardo Marcondes. Hierarchical cluster labeling of software requirements using contextual word embeddings. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3474624.3477067. Acesso em: 14 nov. 2024.
APA
Araujo, A. F. de, & Marcacini, R. M. (2021). Hierarchical cluster labeling of software requirements using contextual word embeddings. In Proceedings. New York: ACM. doi:10.1145/3474624.3477067
NLM
Araujo AF de, Marcacini RM. Hierarchical cluster labeling of software requirements using contextual word embeddings [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/3474624.3477067
Vancouver
Araujo AF de, Marcacini RM. Hierarchical cluster labeling of software requirements using contextual word embeddings [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/3474624.3477067
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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1371/journal.pone.0260701
Trabalho de evento
Embedding propagation over heterogeneous event networks for link prediction (2021)
Carmo, Paulo Ricardo Viviurka do ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: IEEE International Conference on Big Data - Big Data. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARMO, Paulo Ricardo Viviurka do e MARCACINI, Ricardo Marcondes. Embedding propagation over heterogeneous event networks for link prediction. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/BigData52589.2021.9671645. Acesso em: 14 nov. 2024.
APA
Carmo, P. R. V. do, & Marcacini, R. M. (2021). Embedding propagation over heterogeneous event networks for link prediction. In Proceedings. Piscataway: IEEE. doi:10.1109/BigData52589.2021.9671645
NLM
Carmo PRV do, Marcacini RM. Embedding propagation over heterogeneous event networks for link prediction [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/BigData52589.2021.9671645
Vancouver
Carmo PRV do, Marcacini RM. Embedding propagation over heterogeneous event networks for link prediction [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/BigData52589.2021.9671645
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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1145/3470482.3479634

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