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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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 16 out. 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 out. 16 ] 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 out. 16 ] Available from: https://doi.org/10.1016/j.knosys.2020.105777
Artigo de periodico
Knowledge-enhanced document embeddings for text classification (2019)
Sinoara, Roberta Akemi; Camacho-Collados, Jose; Rossi, Rafael G; Navigli, Roberto; Rezende, Solange Oliveira
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SINOARA, Roberta Akemi et al. Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems, v. 163, n. Ja 2019, p. 955-971, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2018.10.026. Acesso em: 16 out. 2024.
APA
Sinoara, R. A., Camacho-Collados, J., Rossi, R. G., Navigli, R., & Rezende, S. O. (2019). Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems, 163( Ja 2019), 955-971. doi:10.1016/j.knosys.2018.10.026
NLM
Sinoara RA, Camacho-Collados J, Rossi RG, Navigli R, Rezende SO. Knowledge-enhanced document embeddings for text classification [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 955-971.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.knosys.2018.10.026
Vancouver
Sinoara RA, Camacho-Collados J, Rossi RG, Navigli R, Rezende SO. Knowledge-enhanced document embeddings for text classification [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 955-971.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.knosys.2018.10.026
Artigo de periodico
Simultaneous co-clustering and learning to address the cold start problem in recommender systems (2015)
Pereira, Andre Luiz Vizine; Hruschka, Eduardo Raul
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Andre Luiz Vizine e HRUSCHKA, Eduardo Raul. Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowledge-Based Systems, v. 82, p. 11-19, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2015.02.016. Acesso em: 16 out. 2024.
APA
Pereira, A. L. V., & Hruschka, E. R. (2015). Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowledge-Based Systems, 82, 11-19. doi:10.1016/j.knosys.2015.02.016
NLM
Pereira ALV, Hruschka ER. Simultaneous co-clustering and learning to address the cold start problem in recommender systems [Internet]. Knowledge-Based Systems. 2015 ; 82 11-19.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.knosys.2015.02.016
Vancouver
Pereira ALV, Hruschka ER. Simultaneous co-clustering and learning to address the cold start problem in recommender systems [Internet]. Knowledge-Based Systems. 2015 ; 82 11-19.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.knosys.2015.02.016
Artigo de periodico
Combining symbolic classifiers from multiple inducers (2003)
Baranauskas, José Augusto; Monard, Maria Carolina
Source: Knowledge-Based Systems. Unidades: FFCLRP, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARANAUSKAS, José Augusto e MONARD, Maria Carolina. Combining symbolic classifiers from multiple inducers. Knowledge-Based Systems, v. 16, p. 129-136, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0950-7051(02)00021-7. Acesso em: 16 out. 2024.
APA
Baranauskas, J. A., & Monard, M. C. (2003). Combining symbolic classifiers from multiple inducers. Knowledge-Based Systems, 16, 129-136. doi:10.1016/s0950-7051(02)00021-7
NLM
Baranauskas JA, Monard MC. Combining symbolic classifiers from multiple inducers [Internet]. Knowledge-Based Systems. 2003 ; 16 129-136.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/s0950-7051(02)00021-7
Vancouver
Baranauskas JA, Monard MC. Combining symbolic classifiers from multiple inducers [Internet]. Knowledge-Based Systems. 2003 ; 16 129-136.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/s0950-7051(02)00021-7

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