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Artigo de periodico
Legal document segmentation and labeling through named entity recognition approaches (2024)
Guimarães, Gabriel Mendes Ciriatico ; Silva, Felipe Xavier Barbosa da ; Macêdo, Lucas de Almeida Bandeira ; Lisboa, Victor Hugo França ; Marcacini, Ricardo Marcondes ; Queiroz, Andrei Lima ; Borges, Vinicius Ruela Pereira ; Faleiros, Thiago de Paulo ; Garcia, Luís Paulo Faina
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUIMARÃES, Gabriel Mendes Ciriatico et al. Legal document segmentation and labeling through named entity recognition approaches. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 123-131, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3368. Acesso em: 17 jun. 2025.
APA
Guimarães, G. M. C., Silva, F. X. B. da, Macêdo, L. de A. B., Lisboa, V. H. F., Marcacini, R. M., Queiroz, A. L., et al. (2024). Legal document segmentation and labeling through named entity recognition approaches. Journal of Information and Data Management - JIDM, 15( 1), 123-131. doi:10.5753/jidm.2024.3368
NLM
Guimarães GMC, Silva FXB da, Macêdo L de AB, Lisboa VHF, Marcacini RM, Queiroz AL, Borges VRP, Faleiros T de P, Garcia LPF. Legal document segmentation and labeling through named entity recognition approaches [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 123-131.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3368
Vancouver
Guimarães GMC, Silva FXB da, Macêdo L de AB, Lisboa VHF, Marcacini RM, Queiroz AL, Borges VRP, Faleiros T de P, Garcia LPF. Legal document segmentation and labeling through named entity recognition approaches [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 123-131.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3368
Artigo de periodico
Two meta-learning approaches for noise filter algorithm recommendation (2024)
Pio, Pedro Borges ; Rivolli, Adriano ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Garcia, Luís Paulo Faina
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS PARA PROCESSAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIO, Pedro Borges et al. Two meta-learning approaches for noise filter algorithm recommendation. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 132-141, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3365. Acesso em: 17 jun. 2025.
APA
Pio, P. B., Rivolli, A., Carvalho, A. C. P. de L. F. de, & Garcia, L. P. F. (2024). Two meta-learning approaches for noise filter algorithm recommendation. Journal of Information and Data Management - JIDM, 15( 1), 132-141. doi:10.5753/jidm.2024.3365
NLM
Pio PB, Rivolli A, Carvalho ACP de LF de, Garcia LPF. Two meta-learning approaches for noise filter algorithm recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 132-141.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3365
Vancouver
Pio PB, Rivolli A, Carvalho ACP de LF de, Garcia LPF. Two meta-learning approaches for noise filter algorithm recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 132-141.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3365
Artigo de periodico
How to balance financial returns with metalearning for trend prediction (2024)
Bandeira, Alvaro Valentim Pereira de Menezes ; Ferracioli, Gabriel Monteiro ; Santos, Moises Rocha dos ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, PREÇOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BANDEIRA, Alvaro Valentim Pereira de Menezes et al. How to balance financial returns with metalearning for trend prediction. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 142-151, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3371. Acesso em: 17 jun. 2025.
APA
Bandeira, A. V. P. de M., Ferracioli, G. M., Santos, M. R. dos, & Carvalho, A. C. P. de L. F. de. (2024). How to balance financial returns with metalearning for trend prediction. Journal of Information and Data Management - JIDM, 15( 1), 142-151. doi:10.5753/jidm.2024.3371
NLM
Bandeira AVP de M, Ferracioli GM, Santos MR dos, Carvalho ACP de LF de. How to balance financial returns with metalearning for trend prediction [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 142-151.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3371
Vancouver
Bandeira AVP de M, Ferracioli GM, Santos MR dos, Carvalho ACP de LF de. How to balance financial returns with metalearning for trend prediction [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 142-151.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3371
Artigo de periodico
Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study (2024)
Miranda, Icaro M ; Aranha, Claus ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Garcia, Luís Paulo Faina
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROGRAMAÇÃO GENÉTICA, PROCESSAMENTO DE SINAIS BIOMÉDICOS, ELETROENCEFALOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Icaro M et al. Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 175-185, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3369. Acesso em: 17 jun. 2025.
APA
Miranda, I. M., Aranha, C., Carvalho, A. C. P. de L. F. de, & Garcia, L. P. F. (2024). Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study. Journal of Information and Data Management - JIDM, 15( 1), 175-185. doi:10.5753/jidm.2024.3369
NLM
Miranda IM, Aranha C, Carvalho ACP de LF de, Garcia LPF. Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 175-185.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3369
Vancouver
Miranda IM, Aranha C, Carvalho ACP de LF de, Garcia LPF. Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 175-185.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3369
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
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, SISTEMAS DE RECOMENDAÇÃO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Artigo de periodico
Mining temporal rules from heterogeneous multivariate time series (2023)
Karasawa, Eliane Gniech ; Sousa, Elaine Parros Machado de
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KARASAWA, Eliane Gniech e SOUSA, Elaine Parros Machado de. Mining temporal rules from heterogeneous multivariate time series. Journal of Information and Data Management - JIDM, v. 14, n. 2, p. 1-10, 2023Tradução . . Disponível em: https://doi.org/10.5753/jidm.2023.3232. Acesso em: 17 jun. 2025.
APA
Karasawa, E. G., & Sousa, E. P. M. de. (2023). Mining temporal rules from heterogeneous multivariate time series. Journal of Information and Data Management - JIDM, 14( 2), 1-10. doi:10.5753/jidm.2023.3232
NLM
Karasawa EG, Sousa EPM de. Mining temporal rules from heterogeneous multivariate time series [Internet]. Journal of Information and Data Management - JIDM. 2023 ; 14( 2): 1-10.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2023.3232
Vancouver
Karasawa EG, Sousa EPM de. Mining temporal rules from heterogeneous multivariate time series [Internet]. Journal of Information and Data Management - JIDM. 2023 ; 14( 2): 1-10.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2023.3232
Artigo de periodico
TRENCHANT: trend prediction on heterogeneous information networks (2022)
Carmo, Paulo Ricardo Viviurka do ; Reis Filho, Ivan José ; Marcacini, Ricardo Marcondes
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), AGRONEGÓCIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARMO, Paulo Ricardo Viviurka do e REIS FILHO, Ivan José e MARCACINI, Ricardo Marcondes. TRENCHANT: trend prediction on heterogeneous information networks. Journal of Information and Data Management - JIDM, v. 13, n. 6, p. 623-636, 2022Tradução . . Disponível em: https://doi.org/10.5753/jidm.2022.2546. Acesso em: 17 jun. 2025.
APA
Carmo, P. R. V. do, Reis Filho, I. J., & Marcacini, R. M. (2022). TRENCHANT: trend prediction on heterogeneous information networks. Journal of Information and Data Management - JIDM, 13( 6), 623-636. doi:10.5753/jidm.2022.2546
NLM
Carmo PRV do, Reis Filho IJ, Marcacini RM. TRENCHANT: trend prediction on heterogeneous information networks [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 6): 623-636.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2022.2546
Vancouver
Carmo PRV do, Reis Filho IJ, Marcacini RM. TRENCHANT: trend prediction on heterogeneous information networks [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 6): 623-636.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2022.2546
Artigo de periodico
FeatSet+: visual features extracted from public image datasets (2022)
Cazzolato, Mirela Teixeira ; Scabora, Lucas de Carvalho ; Zabot, Guilherme Felipe ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Fonte: Journal of Information and Data Management - JIDM. Unidades: EP, ICMC
Assuntos: BANCO DE DADOS MULTIMÍDIA, APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela Teixeira et al. FeatSet+: visual features extracted from public image datasets. Journal of Information and Data Management - JIDM, v. 13, n. 1, p. 33-48, 2022Tradução . . Disponível em: https://doi.org/10.5753/jidm.2022.2328. Acesso em: 17 jun. 2025.
APA
Cazzolato, M. T., Scabora, L. de C., Zabot, G. F., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2022). FeatSet+: visual features extracted from public image datasets. Journal of Information and Data Management - JIDM, 13( 1), 33-48. doi:10.5753/jidm.2022.2328
NLM
Cazzolato MT, Scabora L de C, Zabot GF, Gutierrez MA, Traina Junior C, Traina AJM. FeatSet+: visual features extracted from public image datasets [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 1): 33-48.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2022.2328
Vancouver
Cazzolato MT, Scabora L de C, Zabot GF, Gutierrez MA, Traina Junior C, Traina AJM. FeatSet+: visual features extracted from public image datasets [Internet]. Journal of Information and Data Management - JIDM. 2022 ; 13( 1): 33-48.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2022.2328
Artigo de periodico
J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval (2021)
Novaes, João Victor de Oliveira ; Santos, Lúcio Fernandes Dutra; Carvalho, Luiz Olmes; Oliveira, Daniel de ; Bêdo, Marcos Vinícius Naves; Traina, Agma Juci Machado ; Traina Junior, Caetano
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: RECONHECIMENTO DE IMAGEM, RECUPERAÇÃO DA INFORMAÇÃO, BANCO DE DADOS MULTIMÍDIA
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ABNT
NOVAES, João Victor de Oliveira et al. J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval. Journal of Information and Data Management - JIDM, v. 12, n. 2, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.5753/jidm.2021.1990. Acesso em: 17 jun. 2025.
APA
Novaes, J. V. de O., Santos, L. F. D., Carvalho, L. O., Oliveira, D. de, Bêdo, M. V. N., Traina, A. J. M., & Traina Junior, C. (2021). J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval. Journal of Information and Data Management - JIDM, 12( 2), Se 2021. doi:10.5753/jidm.2021.1990
NLM
Novaes JV de O, Santos LFD, Carvalho LO, Oliveira D de, Bêdo MVN, Traina AJM, Traina Junior C. J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval [Internet]. Journal of Information and Data Management - JIDM. 2021 ; 12( 2): Se 2021.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2021.1990
Vancouver
Novaes JV de O, Santos LFD, Carvalho LO, Oliveira D de, Bêdo MVN, Traina AJM, Traina Junior C. J-EDA: a workbench for tuning similarity and diversity search parameters in content-based image retrieval [Internet]. Journal of Information and Data Management - JIDM. 2021 ; 12( 2): Se 2021.[citado 2025 jun. 17 ] Available from: https://doi.org/10.5753/jidm.2021.1990
Artigo de periodico
Efficient processing of analytical queries extended with similarity search predicates over images in Spark (2020)
Rocha, Guilherme Muzzi da; Ciferri, Cristina Dutra de Aguiar
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: BANCO DE DADOS MULTIMÍDIA, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Guilherme Muzzi da e CIFERRI, Cristina Dutra de Aguiar. Efficient processing of analytical queries extended with similarity search predicates over images in Spark. Journal of Information and Data Management - JIDM, v. 11, n. 3, p. 209-227, 2020Tradução . . Disponível em: https://periodicos.ufmg.br/index.php/jidm/article/view/24300. Acesso em: 17 jun. 2025.
APA
Rocha, G. M. da, & Ciferri, C. D. de A. (2020). Efficient processing of analytical queries extended with similarity search predicates over images in Spark. Journal of Information and Data Management - JIDM, 11( 3), 209-227. Recuperado de https://periodicos.ufmg.br/index.php/jidm/article/view/24300
NLM
Rocha GM da, Ciferri CD de A. Efficient processing of analytical queries extended with similarity search predicates over images in Spark [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 3): 209-227.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24300
Vancouver
Rocha GM da, Ciferri CD de A. Efficient processing of analytical queries extended with similarity search predicates over images in Spark [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 3): 209-227.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24300
Artigo de periodico
Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach (2020)
Lima, Afonso Matheus Sousa; Florez, Alexander Ylnner Choquenaira ; Lescano, Alexis Ivan Aspauza; Novaes, João Victor de Oliveira; Martins, Natalia de Fatima; Traina Junior, Caetano ; Sousa, Elaine Parros Machado de ; Rodrigues Junior, José Fernando ; Cordeiro, Robson Leonardo Ferreira
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: BANCO DE DADOS RELACIONAIS, DESCOBERTA DE CONHECIMENTO, RECONHECIMENTO DE PADRÕES, VESTIBULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Afonso Matheus Sousa et al. Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach. Journal of Information and Data Management - JIDM, v. 11, n. 2, p. 115-130, 2020Tradução . . Disponível em: https://periodicos.ufmg.br/index.php/jidm/article/view/24835. Acesso em: 17 jun. 2025.
APA
Lima, A. M. S., Florez, A. Y. C., Lescano, A. I. A., Novaes, J. V. de O., Martins, N. de F., Traina Junior, C., et al. (2020). Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach. Journal of Information and Data Management - JIDM, 11( 2), 115-130. Recuperado de https://periodicos.ufmg.br/index.php/jidm/article/view/24835
NLM
Lima AMS, Florez AYC, Lescano AIA, Novaes JV de O, Martins N de F, Traina Junior C, Sousa EPM de, Rodrigues Junior JF, Cordeiro RLF. Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 2): 115-130.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24835
Vancouver
Lima AMS, Florez AYC, Lescano AIA, Novaes JV de O, Martins N de F, Traina Junior C, Sousa EPM de, Rodrigues Junior JF, Cordeiro RLF. Analysis of ENEM's attendants between 2012 and 2017 using a clustering approach [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 2): 115-130.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24835
Artigo de periodico
Mining temporal exception rules from multivariate time series using a new support measure (2020)
Amaral, Thábata; Sousa, Elaine Parros Machado de
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: BANCO DE DADOS RELACIONAIS, MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, Thábata e SOUSA, Elaine Parros Machado de. Mining temporal exception rules from multivariate time series using a new support measure. Journal of Information and Data Management - JIDM, v. 11, n. 3, p. 228-246, 2020Tradução . . Disponível em: https://periodicos.ufmg.br/index.php/jidm/article/view/24213. Acesso em: 17 jun. 2025.
APA
Amaral, T., & Sousa, E. P. M. de. (2020). Mining temporal exception rules from multivariate time series using a new support measure. Journal of Information and Data Management - JIDM, 11( 3), 228-246. Recuperado de https://periodicos.ufmg.br/index.php/jidm/article/view/24213
NLM
Amaral T, Sousa EPM de. Mining temporal exception rules from multivariate time series using a new support measure [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 3): 228-246.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24213
Vancouver
Amaral T, Sousa EPM de. Mining temporal exception rules from multivariate time series using a new support measure [Internet]. Journal of Information and Data Management - JIDM. 2020 ; 11( 3): 228-246.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/24213
Artigo de periodico
Cutting-edge relational graph data management with edge-k: from one to multiple edges in the same row (2018)
Scabora, Lucas de Carvalho; Oliveira, Paulo H; Spadon, Gabriel; Kaster, Daniel dos Santos; Rodrigues Junior, José Fernando ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: BANCO DE DADOS RELACIONAIS, GERENCIADORES DE BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, MODELAGEM DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABORA, Lucas de Carvalho et al. Cutting-edge relational graph data management with edge-k: from one to multiple edges in the same row. Journal of Information and Data Management - JIDM, v. 9, n. Ju 2018, p. 20-35, 2018Tradução . . Disponível em: https://periodicos.ufmg.br/index.php/jidm/article/view/413. Acesso em: 17 jun. 2025.
APA
Scabora, L. de C., Oliveira, P. H., Spadon, G., Kaster, D. dos S., Rodrigues Junior, J. F., Traina, A. J. M., & Traina Junior, C. (2018). Cutting-edge relational graph data management with edge-k: from one to multiple edges in the same row. Journal of Information and Data Management - JIDM, 9( Ju 2018), 20-35. Recuperado de https://periodicos.ufmg.br/index.php/jidm/article/view/413
NLM
Scabora L de C, Oliveira PH, Spadon G, Kaster D dos S, Rodrigues Junior JF, Traina AJM, Traina Junior C. Cutting-edge relational graph data management with edge-k: from one to multiple edges in the same row [Internet]. Journal of Information and Data Management - JIDM. 2018 ; 9( Ju 2018): 20-35.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/413
Vancouver
Scabora L de C, Oliveira PH, Spadon G, Kaster D dos S, Rodrigues Junior JF, Traina AJM, Traina Junior C. Cutting-edge relational graph data management with edge-k: from one to multiple edges in the same row [Internet]. Journal of Information and Data Management - JIDM. 2018 ; 9( Ju 2018): 20-35.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/413
Artigo de periodico
Beyond hit-or-miss: a comparative study of synopses for similarity searching (2018)
Bedo, Marcos Vinícius Naves; Oliveira, Daniel de; Traina, Agma Juci Machado ; Traina Junior, Caetano
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: RECUPERAÇÃO DA INFORMAÇÃO, MODELAGEM DE DADOS, ESTRUTURAS DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BEDO, Marcos Vinícius Naves et al. Beyond hit-or-miss: a comparative study of synopses for similarity searching. Journal of Information and Data Management - JIDM, v. 9, n. Ju 2018, p. 36-51, 2018Tradução . . Disponível em: https://periodicos.ufmg.br/index.php/jidm/article/view/415. Acesso em: 17 jun. 2025.
APA
Bedo, M. V. N., Oliveira, D. de, Traina, A. J. M., & Traina Junior, C. (2018). Beyond hit-or-miss: a comparative study of synopses for similarity searching. Journal of Information and Data Management - JIDM, 9( Ju 2018), 36-51. Recuperado de https://periodicos.ufmg.br/index.php/jidm/article/view/415
NLM
Bedo MVN, Oliveira D de, Traina AJM, Traina Junior C. Beyond hit-or-miss: a comparative study of synopses for similarity searching [Internet]. Journal of Information and Data Management - JIDM. 2018 ; 9( Ju 2018): 36-51.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/415
Vancouver
Bedo MVN, Oliveira D de, Traina AJM, Traina Junior C. Beyond hit-or-miss: a comparative study of synopses for similarity searching [Internet]. Journal of Information and Data Management - JIDM. 2018 ; 9( Ju 2018): 36-51.[citado 2025 jun. 17 ] Available from: https://periodicos.ufmg.br/index.php/jidm/article/view/415
Artigo de periodico
Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback (2017)
Costa, Arthur F. da; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback. Journal of Information and Data Management - JIDM, v. 8, n. 3, p. 180-196, 2017Tradução . . Disponível em: https://seer.ufmg.br/index.php/jidm/article/view/4560. Acesso em: 17 jun. 2025.
APA
Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2017). Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback. Journal of Information and Data Management - JIDM, 8( 3), 180-196. Recuperado de https://seer.ufmg.br/index.php/jidm/article/view/4560
NLM
Costa AF da, Manzato MG, Campello RJGB. Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback [Internet]. Journal of Information and Data Management - JIDM. 2017 ; 8( 3): 180-196.[citado 2025 jun. 17 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/4560
Vancouver
Costa AF da, Manzato MG, Campello RJGB. Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback [Internet]. Journal of Information and Data Management - JIDM. 2017 ; 8( 3): 180-196.[citado 2025 jun. 17 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/4560
Artigo de periodico
Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks (2016)
Matsuno, Ivone P; Rossi, Rafael G; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATSUNO, Ivone P et al. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, v. 7, n. 2, p. 141-154, 2016Tradução . . Disponível em: https://seer.ufmg.br/index.php/jidm/article/view/1619. Acesso em: 17 jun. 2025.
APA
Matsuno, I. P., Rossi, R. G., Marcacini, R. M., & Rezende, S. O. (2016). Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, 7( 2), 141-154. Recuperado de https://seer.ufmg.br/index.php/jidm/article/view/1619
NLM
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 jun. 17 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619
Vancouver
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 jun. 17 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619
Artigo de periodico
Better initialization heuristics for order-based bayesian network structure learning (2016)
Urcia, Walter Perez; Mauá, Denis Deratani
Fonte: Journal of Information and Data Management - JIDM. Unidade: IME
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
URCIA, Walter Perez e MAUÁ, Denis Deratani. Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM, v. 7, n. 2, p. 181-195, 2016Tradução . . Acesso em: 17 jun. 2025.
APA
Urcia, W. P., & Mauá, D. D. (2016). Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM, 7( 2), 181-195.
NLM
Urcia WP, Mauá DD. Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 181-195.[citado 2025 jun. 17 ]
Vancouver
Urcia WP, Mauá DD. Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 181-195.[citado 2025 jun. 17 ]
Trabalho de evento-anais periodico
Video scene detection by multimodal bag of features (2014)
Lopes, Bruno Lorenço; Trojahn, Tiago Henrique; Goularte, Rudinei
Fonte: Journal of Information and Data Management - JIDM. Nome do evento: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidade: ICMC
Assuntos: MULTIMÍDIA INTERATIVA, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Bruno Lorenço e TROJAHN, Tiago Henrique e GOULARTE, Rudinei. Video scene detection by multimodal bag of features. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Disponível em: https://seer.lcc.ufmg.br/index.php/jidm/article/view/632. Acesso em: 17 jun. 2025. , 2014
APA
Lopes, B. L., Trojahn, T. H., & Goularte, R. (2014). Video scene detection by multimodal bag of features. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Recuperado de https://seer.lcc.ufmg.br/index.php/jidm/article/view/632
NLM
Lopes BL, Trojahn TH, Goularte R. Video scene detection by multimodal bag of features [Internet]. Journal of Information and Data Management - JIDM. 2014 ; 5( ju 2014): 194-205.[citado 2025 jun. 17 ] Available from: https://seer.lcc.ufmg.br/index.php/jidm/article/view/632
Vancouver
Lopes BL, Trojahn TH, Goularte R. Video scene detection by multimodal bag of features [Internet]. Journal of Information and Data Management - JIDM. 2014 ; 5( ju 2014): 194-205.[citado 2025 jun. 17 ] Available from: https://seer.lcc.ufmg.br/index.php/jidm/article/view/632
Trabalho de evento-anais periodico
Unsupervised instance selection from text streams (2014)
Bonin, Rafael; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Fonte: Journal of Information and Data Management - JIDM. Nome do evento: Brazilian Symposium on Databases - SBBD. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIN, Rafael e MARCACINI, Ricardo Marcondes e REZENDE, Solange Oliveira. Unsupervised instance selection from text streams. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Disponível em: https://seer.lcc.ufmg.br/index.php/jidm/article/view/287. Acesso em: 17 jun. 2025. , 2014
APA
Bonin, R., Marcacini, R. M., & Rezende, S. O. (2014). Unsupervised instance selection from text streams. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Recuperado de https://seer.lcc.ufmg.br/index.php/jidm/article/view/287
NLM
Bonin R, Marcacini RM, Rezende SO. Unsupervised instance selection from text streams [Internet]. Journal of Information and Data Management - JIDM. 2014 ; fe 2014( 1): 114-123.[citado 2025 jun. 17 ] Available from: https://seer.lcc.ufmg.br/index.php/jidm/article/view/287
Vancouver
Bonin R, Marcacini RM, Rezende SO. Unsupervised instance selection from text streams [Internet]. Journal of Information and Data Management - JIDM. 2014 ; fe 2014( 1): 114-123.[citado 2025 jun. 17 ] Available from: https://seer.lcc.ufmg.br/index.php/jidm/article/view/287
Trabalho de evento-anais periodico
Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning (2013)
Covões, Thiago F; Barros, Rodrigo C; Silva, Tiago S. da; Hruschka, Eduardo Raul ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Journal of Information and Data Management - JIDM. Nome do evento: Brazilian Symposium on Databases - SBBD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago F et al. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Disponível em: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256. Acesso em: 17 jun. 2025. , 2013
APA
Covões, T. F., Barros, R. C., Silva, T. S. da, Hruschka, E. R., & Carvalho, A. C. P. de L. F. de. (2013). Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Recuperado de http://seer.lcc.ufmg.br/index.php/jidm/article/view/256
NLM
Covões TF, Barros RC, Silva TS da, Hruschka ER, Carvalho ACP de LF de. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning [Internet]. Journal of Information and Data Management - JIDM. 2013 ; 4( 3): 357-372.[citado 2025 jun. 17 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256
Vancouver
Covões TF, Barros RC, Silva TS da, Hruschka ER, Carvalho ACP de LF de. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning [Internet]. Journal of Information and Data Management - JIDM. 2013 ; 4( 3): 357-372.[citado 2025 jun. 17 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256

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