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Artigo de periodico
How to take advantage of behavioral features for the early detection of grooming in online conversations (2022)
Milon-Flores, Daniela Fernanda ; Cordeiro, Robson Leonardo Ferreira
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: RECONHECIMENTO DE TEXTO, FRAMEWORKS, PLATAFORMA DIGITAL, CORRUPÇÃO DE MENORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MILON-FLORES, Daniela Fernanda e CORDEIRO, Robson Leonardo Ferreira. How to take advantage of behavioral features for the early detection of grooming in online conversations. Knowledge-Based Systems, v. 240, p. 1-29, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2021.108017. Acesso em: 04 nov. 2024.
APA
Milon-Flores, D. F., & Cordeiro, R. L. F. (2022). How to take advantage of behavioral features for the early detection of grooming in online conversations. Knowledge-Based Systems, 240, 1-29. doi:10.1016/j.knosys.2021.108017
NLM
Milon-Flores DF, Cordeiro RLF. How to take advantage of behavioral features for the early detection of grooming in online conversations [Internet]. Knowledge-Based Systems. 2022 ; 240 1-29.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.knosys.2021.108017
Vancouver
Milon-Flores DF, Cordeiro RLF. How to take advantage of behavioral features for the early detection of grooming in online conversations [Internet]. Knowledge-Based Systems. 2022 ; 240 1-29.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.knosys.2021.108017
Artigo de periodico
Effective and unburdensome forecast of highway traffic flow with adaptive computing (2021)
Alves, Matheus Aparecido do Carmo; Cordeiro, Robson Leonardo Ferreira
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), COMPUTAÇÃO RECONFIGURÁVEL, TRÁFEGO RODOVIÁRIO
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ABNT
ALVES, Matheus Aparecido do Carmo e CORDEIRO, Robson Leonardo Ferreira. Effective and unburdensome forecast of highway traffic flow with adaptive computing. Knowledge-Based Systems, v. 212, n. Ja 2021, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2020.106603. Acesso em: 04 nov. 2024.
APA
Alves, M. A. do C., & Cordeiro, R. L. F. (2021). Effective and unburdensome forecast of highway traffic flow with adaptive computing. Knowledge-Based Systems, 212( Ja 2021), 1-13. doi:10.1016/j.knosys.2020.106603
NLM
Alves MA do C, Cordeiro RLF. Effective and unburdensome forecast of highway traffic flow with adaptive computing [Internet]. Knowledge-Based Systems. 2021 ; 212( Ja 2021): 1-13.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.knosys.2020.106603
Vancouver
Alves MA do C, Cordeiro RLF. Effective and unburdensome forecast of highway traffic flow with adaptive computing [Internet]. Knowledge-Based Systems. 2021 ; 212( Ja 2021): 1-13.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.knosys.2020.106603
Artigo de periodico
Unsupervised dimensionality reduction for very large datasets: are we going to the right direction? (2020)
Oliveira, Jadson José Monteiro ; Cordeiro, Robson Leonardo Ferreira
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: BANCO DE DADOS, MINERAÇÃO DE DADOS, FRACTAIS
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ABNT
OLIVEIRA, Jadson José Monteiro e CORDEIRO, Robson Leonardo Ferreira. Unsupervised dimensionality reduction for very large datasets: are we going to the right direction?. Knowledge-Based Systems, v. 196, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2020.105777. Acesso em: 04 nov. 2024.
APA
Oliveira, J. J. M., & Cordeiro, R. L. F. (2020). Unsupervised dimensionality reduction for very large datasets: are we going to the right direction? Knowledge-Based Systems, 196, 1-14. doi:10.1016/j.knosys.2020.105777
NLM
Oliveira JJM, Cordeiro RLF. Unsupervised dimensionality reduction for very large datasets: are we going to the right direction? [Internet]. Knowledge-Based Systems. 2020 ; 196 1-14.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.knosys.2020.105777
Vancouver
Oliveira JJM, Cordeiro RLF. Unsupervised dimensionality reduction for very large datasets: are we going to the right direction? [Internet]. Knowledge-Based Systems. 2020 ; 196 1-14.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.knosys.2020.105777
Artigo de periodico
The similarity-aware relational division database operator with case studies in agriculture and genetics (2019)
Gonzaga, André dos Santos; Cordeiro, Robson Leonardo Ferreira
Source: Information Systems. Unidade: ICMC
Subjects: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONZAGA, André dos Santos e CORDEIRO, Robson Leonardo Ferreira. The similarity-aware relational division database operator with case studies in agriculture and genetics. Information Systems, p. 71-87, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.is.2019.01.002. Acesso em: 04 nov. 2024.
APA
Gonzaga, A. dos S., & Cordeiro, R. L. F. (2019). The similarity-aware relational division database operator with case studies in agriculture and genetics. Information Systems, 71-87. doi:10.1016/j.is.2019.01.002
NLM
Gonzaga A dos S, Cordeiro RLF. The similarity-aware relational division database operator with case studies in agriculture and genetics [Internet]. Information Systems. 2019 ; 71-87.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.01.002
Vancouver
Gonzaga A dos S, Cordeiro RLF. The similarity-aware relational division database operator with case studies in agriculture and genetics [Internet]. Information Systems. 2019 ; 71-87.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.is.2019.01.002
Artigo de periodico
ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation (2017)
Gimenes, Gabriel; Cordeiro, Robson Leonardo Ferreira ; Rodrigues Junior, José Fernando
Source: Information Sciences. Unidade: ICMC
Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, RECONHECIMENTO DE PADRÕES, WEB 2.0, DIFAMAÇÃO
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ABNT
GIMENES, Gabriel e CORDEIRO, Robson Leonardo Ferreira e RODRIGUES JUNIOR, José Fernando. ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation. Information Sciences, v. 379, p. 274-287, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.09.006. Acesso em: 04 nov. 2024.
APA
Gimenes, G., Cordeiro, R. L. F., & Rodrigues Junior, J. F. (2017). ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation. Information Sciences, 379, 274-287. doi:10.1016/j.ins.2016.09.006
NLM
Gimenes G, Cordeiro RLF, Rodrigues Junior JF. ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation [Internet]. Information Sciences. 2017 ; 379 274-287.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ins.2016.09.006
Vancouver
Gimenes G, Cordeiro RLF, Rodrigues Junior JF. ORFEL: efficient detection of defamation or illegitimate promotion in online recommendation [Internet]. Information Sciences. 2017 ; 379 274-287.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.ins.2016.09.006
Trabalho de evento
Finding clusters in subspaces of very large, multi-dimensional datasets (2010)
Cordeiro, Robson Leonardo Ferreira ; Traina, Agma Juci Machado ; Faloutsos, Christos; Traina Junior, Caetano
Source: Proceedings. Conference titles: IEEE International Conference on Data Engineering - ICDE. Unidade: ICMC
Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Robson Leonardo Ferreira et al. Finding clusters in subspaces of very large, multi-dimensional datasets. 2010, Anais.. Los Alamitos: IEEE Computer Society, 2010. Disponível em: https://doi.org/10.1109/ICDE.2010.5447924. Acesso em: 04 nov. 2024.
APA
Cordeiro, R. L. F., Traina, A. J. M., Faloutsos, C., & Traina Junior, C. (2010). Finding clusters in subspaces of very large, multi-dimensional datasets. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ICDE.2010.5447924
NLM
Cordeiro RLF, Traina AJM, Faloutsos C, Traina Junior C. Finding clusters in subspaces of very large, multi-dimensional datasets [Internet]. Proceedings. 2010 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/ICDE.2010.5447924
Vancouver
Cordeiro RLF, Traina AJM, Faloutsos C, Traina Junior C. Finding clusters in subspaces of very large, multi-dimensional datasets [Internet]. Proceedings. 2010 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/ICDE.2010.5447924

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