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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
Fonte: Information Sciences. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, FAKE NEWS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 07 set. 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 set. 07 ] 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 set. 07 ] Available from: https://doi.org/10.1016/j.ins.2024.120300
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
Fonte: Proceedings. Nome do evento: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Assuntos: 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: 07 set. 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 set. 07 ] 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 set. 07 ] Available from: https://doi.org/10.1145/3617023.3617041
Artigo de periodico
Spatial index structures for modern storage devices: a survey (2023)
Carniel, Anderson Chaves ; Aguiar, Cristina Dutra de
Fonte: IEEE Transactions on Knowledge and Data Engineering. Unidade: ICMC
Assuntos: BANCO DE DADOS, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNIEL, Anderson Chaves e AGUIAR, Cristina Dutra de. Spatial index structures for modern storage devices: a survey. IEEE Transactions on Knowledge and Data Engineering, v. 35, n. 9, p. 9578-9597, 2023Tradução . . Disponível em: https://doi.org/10.1109/TKDE.2023.3242207. Acesso em: 07 set. 2024.
APA
Carniel, A. C., & Aguiar, C. D. de. (2023). Spatial index structures for modern storage devices: a survey. IEEE Transactions on Knowledge and Data Engineering, 35( 9), 9578-9597. doi:10.1109/TKDE.2023.3242207
NLM
Carniel AC, Aguiar CD de. Spatial index structures for modern storage devices: a survey [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2023 ; 35( 9): 9578-9597.[citado 2024 set. 07 ] Available from: https://doi.org/10.1109/TKDE.2023.3242207
Vancouver
Carniel AC, Aguiar CD de. Spatial index structures for modern storage devices: a survey [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2023 ; 35( 9): 9578-9597.[citado 2024 set. 07 ] Available from: https://doi.org/10.1109/TKDE.2023.3242207
Trabalho de evento-anais periodico
Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification (2022)
Baz, Adrian El; Ullah, Ihsan; Alcobaça, Edesio ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Chen, Hong; Ferreira, Fábio; Gouk, Henry; Guan, Chaoyu; Guyon, Isabelle; Hospedales, Timothy; Hu, Shell; Huisman, Mike ; Hutter, Frank ; Liu, Zhengying; Mohr, Felix ; Öztürk, Ekrem ; Rijn, Jan N. van ; Sun, Haozhe; Wang, Xin; Zhu, Wenwu
Fonte: Proceedings of Machine Learning Research : PMLR. Nome do evento: Conference on Neural Information Processing Systems - NeurIPS. Unidade: ICMC
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZ, Adrian El et al. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v176/el-baz22a.html. Acesso em: 07 set. 2024. , 2022
APA
Baz, A. E., Ullah, I., Alcobaça, E., Carvalho, A. C. P. de L. F. de, Chen, H., Ferreira, F., et al. (2022). Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v176/el-baz22a.html
NLM
Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 set. 07 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html
Vancouver
Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 set. 07 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html

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