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Trabalho de evento
Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models (2025)
Carmo, Paulo Viviurka do ; Gôlo, Marcos Paulo Silva ; Gwozdz, Jonas ; Marx, Edgard ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, DESCOBERTA DE CONHECIMENTO, TEORIA DOS GRAFOS, PRODUTOS NATURAIS, FÁRMACOS
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ABNT
CARMO, Paulo Viviurka do et al. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3672608.3707858. Acesso em: 03 jul. 2025.
APA
Carmo, P. V. do, Gôlo, M. P. S., Gwozdz, J., Marx, E., & Marcacini, R. M. (2025). Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models. In Proceedings. New York: ACM. doi:10.1145/3672608.3707858
NLM
Carmo PV do, Gôlo MPS, Gwozdz J, Marx E, Marcacini RM. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models [Internet]. Proceedings. 2025 ;[citado 2025 jul. 03 ] Available from: https://doi.org/10.1145/3672608.3707858
Vancouver
Carmo PV do, Gôlo MPS, Gwozdz J, Marx E, Marcacini RM. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models [Internet]. Proceedings. 2025 ;[citado 2025 jul. 03 ] Available from: https://doi.org/10.1145/3672608.3707858
Trabalho de evento-anais periodico
One-class learning for data stream through graph neural networks (2025)
Gôlo, Marcos Paulo Silva ; Gama, João ; Marcacini, Ricardo Marcondes
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
GÔLO, Marcos Paulo Silva e GAMA, João e MARCACINI, Ricardo Marcondes. One-class learning for data stream through graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_5. Acesso em: 03 jul. 2025. , 2025
APA
Gôlo, M. P. S., Gama, J., & Marcacini, R. M. (2025). One-class learning for data stream through graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_5
NLM
Gôlo MPS, Gama J, Marcacini RM. One-class learning for data stream through graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 61-75.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
Vancouver
Gôlo MPS, Gama J, Marcacini RM. One-class learning for data stream through graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 61-75.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
Artigo de periodico
Integrating wavelet transformation for end-to-end direct signal classification (2025)
Ribeiro-Filho, Otávio V; Ponti, Moacir Antonelli ; Curilem, Millaray ; Rios, Ricardo Araújo
Source: Digital Signal Processing. Unidade: ICMC
Subjects: REDES NEURAIS, PROCESSAMENTO DE SINAIS, ANÁLISE DE ONDALETAS
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ABNT
RIBEIRO-FILHO, Otávio V et al. Integrating wavelet transformation for end-to-end direct signal classification. Digital Signal Processing, v. 156, n. Ja 2025, p. 1-11, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2024.104878. Acesso em: 03 jul. 2025.
APA
Ribeiro-Filho, O. V., Ponti, M. A., Curilem, M., & Rios, R. A. (2025). Integrating wavelet transformation for end-to-end direct signal classification. Digital Signal Processing, 156( Ja 2025), 1-11. doi:10.1016/j.dsp.2024.104878
NLM
Ribeiro-Filho OV, Ponti MA, Curilem M, Rios RA. Integrating wavelet transformation for end-to-end direct signal classification [Internet]. Digital Signal Processing. 2025 ; 156( Ja 2025): 1-11.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1016/j.dsp.2024.104878
Vancouver
Ribeiro-Filho OV, Ponti MA, Curilem M, Rios RA. Integrating wavelet transformation for end-to-end direct signal classification [Internet]. Digital Signal Processing. 2025 ; 156( Ja 2025): 1-11.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1016/j.dsp.2024.104878
Artigo de periodico
One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication (2025)
Gôlo, Marcos Paulo Silva ; Medeiros Júnior, José Gilberto Barbosa de ; Silva, Diego Furtado ; Marcacini, Ricardo Marcondes
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
GÔLO, Marcos Paulo Silva et al. One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication. Information Sciences, v. 708, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2025.122060. Acesso em: 03 jul. 2025.
APA
Gôlo, M. P. S., Medeiros Júnior, J. G. B. de, Silva, D. F., & Marcacini, R. M. (2025). One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication. Information Sciences, 708, 1-17. doi:10.1016/j.ins.2025.122060
NLM
Gôlo MPS, Medeiros Júnior JGB de, Silva DF, Marcacini RM. One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication [Internet]. Information Sciences. 2025 ; 708 1-17.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1016/j.ins.2025.122060
Vancouver
Gôlo MPS, Medeiros Júnior JGB de, Silva DF, Marcacini RM. One-class graph autoencoder: a new end-to-end, low-dimensional, and interpretable approach for node classfication [Internet]. Information Sciences. 2025 ; 708 1-17.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1016/j.ins.2025.122060
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
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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: 03 jul. 2025.
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 2025 jul. 03 ] 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 2025 jul. 03 ] Available from: https://doi.org/10.5753/jis.2024.4109
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: 03 jul. 2025.
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 2025 jul. 03 ] 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 2025 jul. 03 ] Available from: https://doi.org/10.1016/j.ins.2024.120300
Trabalho de evento
Improving explainable fact-checking via sentence-level factual reasoning (2024)
Vargas, Francielle Alves ; Salles, Isadora; Alves, Diego; Agrawal, Ameeta ; Pardo, Thiago Alexandre Salgueiro ; Benevenuto, Fabrício
Source: Proceedings. Conference titles: Fact Extraction and Verification Workshop - FEVER. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL, FAKE NEWS
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ABNT
VARGAS, Francielle Alves et al. Improving explainable fact-checking via sentence-level factual reasoning. 2024, Anais.. Kerrville: Association for Computational Linguistics, 2024. Disponível em: https://aclanthology.org/2024.fever-1.23. Acesso em: 03 jul. 2025.
APA
Vargas, F. A., Salles, I., Alves, D., Agrawal, A., Pardo, T. A. S., & Benevenuto, F. (2024). Improving explainable fact-checking via sentence-level factual reasoning. In Proceedings. Kerrville: Association for Computational Linguistics. Recuperado de https://aclanthology.org/2024.fever-1.23
NLM
Vargas FA, Salles I, Alves D, Agrawal A, Pardo TAS, Benevenuto F. Improving explainable fact-checking via sentence-level factual reasoning [Internet]. Proceedings. 2024 ;[citado 2025 jul. 03 ] Available from: https://aclanthology.org/2024.fever-1.23
Vancouver
Vargas FA, Salles I, Alves D, Agrawal A, Pardo TAS, Benevenuto F. Improving explainable fact-checking via sentence-level factual reasoning [Internet]. Proceedings. 2024 ;[citado 2025 jul. 03 ] Available from: https://aclanthology.org/2024.fever-1.23
Trabalho de evento
On the use of large language models to detect brazilian politics fake news (2024)
Gôlo, Marcos Paulo Silva ; Mori, Adriel Lenner Vinhal ; Oliveira, William G; Barbosa, Jacson Rodrigues ; Graciano Neto, Valdemar Vicente ; Lima, Eliomar Araujo de ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, FAKE NEWS, POLÍTICA, PORTUGUÊS DO BRASIL
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ABNT
GÔLO, Marcos Paulo Silva et al. On the use of large language models to detect brazilian politics fake news. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/eniac.2024.245119. Acesso em: 03 jul. 2025.
APA
Gôlo, M. P. S., Mori, A. L. V., Oliveira, W. G., Barbosa, J. R., Graciano Neto, V. V., Lima, E. A. de, & Marcacini, R. M. (2024). On the use of large language models to detect brazilian politics fake news. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2024.245119
NLM
Gôlo MPS, Mori ALV, Oliveira WG, Barbosa JR, Graciano Neto VV, Lima EA de, Marcacini RM. On the use of large language models to detect brazilian politics fake news [Internet]. Anais. 2024 ;[citado 2025 jul. 03 ] Available from: https://doi.org/10.5753/eniac.2024.245119
Vancouver
Gôlo MPS, Mori ALV, Oliveira WG, Barbosa JR, Graciano Neto VV, Lima EA de, Marcacini RM. On the use of large language models to detect brazilian politics fake news [Internet]. Anais. 2024 ;[citado 2025 jul. 03 ] Available from: https://doi.org/10.5753/eniac.2024.245119
Tese (Doutorado)
Socially responsible and explainable automated fact-checking and hate speech detection (2024)
Vargas, Francielle Alves ; Pardo, Thiago Alexandre Salgueiro (Orientador) ; Souza, Fabrício Benevenuto de (coorient)
Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, INTELIGÊNCIA ARTIFICIAL, JUSTIÇA, DESINFORMAÇÃO, APRENDIZADO COMPUTACIONAL
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ABNT
VARGAS, Francielle Alves. Socially responsible and explainable automated fact-checking and hate speech detection. 2024. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-07012025-155212/. Acesso em: 03 jul. 2025.
APA
Vargas, F. A. (2024). Socially responsible and explainable automated fact-checking and hate speech detection (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-07012025-155212/
NLM
Vargas FA. Socially responsible and explainable automated fact-checking and hate speech detection [Internet]. 2024 ;[citado 2025 jul. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-07012025-155212/
Vancouver
Vargas FA. Socially responsible and explainable automated fact-checking and hate speech detection [Internet]. 2024 ;[citado 2025 jul. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-07012025-155212/
Trabalho de evento
BioAutoML: democratizing machine learning in life sciences (2024)
Bonidia, Robson Parmezan ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Anais estendidos. Conference titles: Simpósio Brasileiro de Computação Aplicada à Saúde - SBCAS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, GENÔMICA
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ABNT
BONIDIA, Robson Parmezan e CARVALHO, Andre Carlos Ponce de Leon Ferreira de. BioAutoML: democratizing machine learning in life sciences. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://doi.org/10.5753/sbcas_estendido.2024.2184. Acesso em: 03 jul. 2025.
APA
Bonidia, R. P., & Carvalho, A. C. P. de L. F. de. (2024). BioAutoML: democratizing machine learning in life sciences. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sbcas_estendido.2024.2184
NLM
Bonidia RP, Carvalho ACP de LF de. BioAutoML: democratizing machine learning in life sciences [Internet]. Anais estendidos. 2024 ;[citado 2025 jul. 03 ] Available from: https://doi.org/10.5753/sbcas_estendido.2024.2184
Vancouver
Bonidia RP, Carvalho ACP de LF de. BioAutoML: democratizing machine learning in life sciences [Internet]. Anais estendidos. 2024 ;[citado 2025 jul. 03 ] Available from: https://doi.org/10.5753/sbcas_estendido.2024.2184
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: 03 jul. 2025.
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 2025 jul. 03 ] 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 2025 jul. 03 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Artigo de periodico
Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? (2024)
Costa, Giovana Fondato ; Bet, Patricia ; Ponti, Moacir Antonelli ; Castro, Paula Costa
Source: Estudos Interdisciplinares sobre o Envelhecimento. Unidades: ICMC, Interunidades em Bioengenharia, EACH
Subjects: PROCESSAMENTO DE SINAIS, TECNOLOGIAS DA SAÚDE, IDOSOS
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ABNT
COSTA, Giovana Fondato et al. Timed Up and Go: seconds or acceleration to measure mobility in healthy older people?. Estudos Interdisciplinares sobre o Envelhecimento, v. 29, p. 1-7, 2024Tradução . . Disponível em: https://doi.org/10.22456/2316-2171.142733. Acesso em: 03 jul. 2025.
APA
Costa, G. F., Bet, P., Ponti, M. A., & Castro, P. C. (2024). Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? Estudos Interdisciplinares sobre o Envelhecimento, 29, 1-7. doi:10.22456/2316-2171.142733
NLM
Costa GF, Bet P, Ponti MA, Castro PC. Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? [Internet]. Estudos Interdisciplinares sobre o Envelhecimento. 2024 ; 29 1-7.[citado 2025 jul. 03 ] Available from: https://doi.org/10.22456/2316-2171.142733
Vancouver
Costa GF, Bet P, Ponti MA, Castro PC. Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? [Internet]. Estudos Interdisciplinares sobre o Envelhecimento. 2024 ; 29 1-7.[citado 2025 jul. 03 ] Available from: https://doi.org/10.22456/2316-2171.142733
Trabalho de evento
Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation (2024)
Santos, Moises Rocha dos ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Source: Proceedings. Conference titles: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
SANTOS, Moises Rocha dos e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e SOARES, Carlos. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation. 2024, Anais.. Aachen: CEUR-WS, 2024. Disponível em: https://ceur-ws.org/Vol-3808/paper4.pdf. Acesso em: 03 jul. 2025.
APA
Santos, M. R. dos, Carvalho, A. C. P. de L. F. de, & Soares, C. (2024). Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation. In Proceedings. Aachen: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-3808/paper4.pdf
NLM
Santos MR dos, Carvalho ACP de LF de, Soares C. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation [Internet]. Proceedings. 2024 ;[citado 2025 jul. 03 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf
Vancouver
Santos MR dos, Carvalho ACP de LF de, Soares C. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation [Internet]. Proceedings. 2024 ;[citado 2025 jul. 03 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf
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
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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: 03 jul. 2025.
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 2025 jul. 03 ] 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 2025 jul. 03 ] 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
Source: IEEE Transactions on Knowledge and Data Engineering. Unidade: ICMC
Subjects: BANCO DE DADOS, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, RECUPERAÇÃO DA INFORMAÇÃO
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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: 03 jul. 2025.
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 2025 jul. 03 ] 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 2025 jul. 03 ] Available from: https://doi.org/10.1109/TKDE.2023.3242207
Artigo de periodico
Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy (2022)
Bonidia, Robson Parmezan ; Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de ; Stadler, Peter F ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Entropy. Unidades: ICMC, EESC E ICMC
Subjects: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, TEORIA DA INFORMAÇÃO
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ABNT
BONIDIA, Robson Parmezan et al. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, v. 24, n. 10, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/e24101398. Acesso em: 03 jul. 2025.
APA
Bonidia, R. P., Santos, A. P. A., Almeida, B. L. S. de, Stadler, P. F., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, 24( 10), 1-17. doi:10.3390/e24101398
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2025 jul. 03 ] Available from: https://doi.org/10.3390/e24101398
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2025 jul. 03 ] Available from: https://doi.org/10.3390/e24101398
Trabalho de evento-anais periodico
Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories (2022)
Castro, João Pedro de Carvalho ; Romero, Lucas de Medeiros França ; Carniel, Anderson Chaves ; Aguiar, Cristina Dutra de
Source: Communications in Computer and Information Science. Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Subjects: COMPUTAÇÃO EM NUVEM, ARQUITETURA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, João Pedro de Carvalho et al. Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15743-1_6. Acesso em: 03 jul. 2025. , 2022
APA
Castro, J. P. de C., Romero, L. de M. F., Carniel, A. C., & Aguiar, C. D. de. (2022). Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-15743-1_6
NLM
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories [Internet]. Communications in Computer and Information Science. 2022 ; 1652 56-66.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_6
Vancouver
Castro JP de C, Romero L de MF, Carniel AC, Aguiar CD de. Open science in the cloud: the CloudFAIR architecture for FAIR-compliant repositories [Internet]. Communications in Computer and Information Science. 2022 ; 1652 56-66.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_6
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
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: 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: 03 jul. 2025. , 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 2025 jul. 03 ] 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 2025 jul. 03 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html
Artigo de periodico
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria (2022)
Bonidia, Robson Parmezan ; Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de; Stadler, Peter F ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Briefings in Bioinformatics. Unidades: ICMC, EESC E ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, v. 23, n. 4, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1093/bib/bbac218. Acesso em: 03 jul. 2025.
APA
Bonidia, R. P., Santos, A. P. A., Almeida, B. L. S. de, Stadler, P. F., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, 23( 4), 1-13. doi:10.1093/bib/bbac218
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1093/bib/bbac218
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1093/bib/bbac218
Trabalho de evento-anais periodico
Storing feature vectors in relational image data warehouses (2022)
Rocha, Guilherme Muzzi da ; Capelo, Piero Lima ; Carniel, Anderson Chaves ; Aguiar, Cristina Dutra de
Source: Communications in Computer and Information Science. Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Guilherme Muzzi da et al. Storing feature vectors in relational image data warehouses. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15743-1_30. Acesso em: 03 jul. 2025. , 2022
APA
Rocha, G. M. da, Capelo, P. L., Carniel, A. C., & Aguiar, C. D. de. (2022). Storing feature vectors in relational image data warehouses. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-15743-1_30
NLM
Rocha GM da, Capelo PL, Carniel AC, Aguiar CD de. Storing feature vectors in relational image data warehouses [Internet]. Communications in Computer and Information Science. 2022 ; 1652 323-331.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_30
Vancouver
Rocha GM da, Capelo PL, Carniel AC, Aguiar CD de. Storing feature vectors in relational image data warehouses [Internet]. Communications in Computer and Information Science. 2022 ; 1652 323-331.[citado 2025 jul. 03 ] Available from: https://doi.org/10.1007/978-3-031-15743-1_30

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