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Trabalho de evento-anais periodico
Role-based access control on graph databases (2021)
Chabin, Jacques; Ciferri, Cristina Dutra de Aguiar ; Halfeld-Ferrari, Mirian ; Hara, Carmem Satie ; Penteado, Raqueline Ritter de Moura
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Current Trends in Theory and Practice of Computer Science - SOFSEM. Unidade: ICMC
Subjects: BANCO DE DADOS, ESTRUTURAS DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
CHABIN, Jacques et al. Role-based access control on graph databases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-67731-2_38. Acesso em: 05 jul. 2025. , 2021
APA
Chabin, J., Ciferri, C. D. de A., Halfeld-Ferrari, M., Hara, C. S., & Penteado, R. R. de M. (2021). Role-based access control on graph databases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-67731-2_38
NLM
Chabin J, Ciferri CD de A, Halfeld-Ferrari M, Hara CS, Penteado RR de M. Role-based access control on graph databases [Internet]. Lecture Notes in Computer Science. 2021 ; 12607 519-534.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-67731-2_38
Vancouver
Chabin J, Ciferri CD de A, Halfeld-Ferrari M, Hara CS, Penteado RR de M. Role-based access control on graph databases [Internet]. Lecture Notes in Computer Science. 2021 ; 12607 519-534.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-67731-2_38
Trabalho de evento-anais periodico
A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning (2021)
Pereira, Filipe Dwan ; Freitas Junior, Hermino Barbosa de ; Rodriguez, Luiz Carlos Estraviz ; Toda, Armando Maciel ; Oliveira, Elaine Harada Teixeira de ; Cristea, Alexandra Ioana ; Oliveira, David B. F; Carvalho, Leandro S. G; Fonseca, Samuel C; Alamri, Ahmed; Isotani, Seiji
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Tutoring Systems - ITS. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE DADOS, COMPUTADOR NO ENSINO, ENSINO E APRENDIZAGEM, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, RENDIMENTO ESCOLAR
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PEREIRA, Filipe Dwan et al. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-80421-3_51. Acesso em: 05 jul. 2025. , 2021
APA
Pereira, F. D., Freitas Junior, H. B. de, Rodriguez, L. C. E., Toda, A. M., Oliveira, E. H. T. de, Cristea, A. I., et al. (2021). A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-80421-3_51
NLM
Pereira FD, Freitas Junior HB de, Rodriguez LCE, Toda AM, Oliveira EHT de, Cristea AI, Oliveira DBF, Carvalho LSG, Fonseca SC, Alamri A, Isotani S. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 466-480.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_51
Vancouver
Pereira FD, Freitas Junior HB de, Rodriguez LCE, Toda AM, Oliveira EHT de, Cristea AI, Oliveira DBF, Carvalho LSG, Fonseca SC, Alamri A, Isotani S. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 466-480.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_51
Trabalho de evento-anais periodico
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes (2021)
Ienco, Dino ; Pereira-Santos, Davi; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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IENCO, Dino e PEREIRA-SANTOS, Davi e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-86383-8_10. Acesso em: 05 jul. 2025. , 2021
APA
Ienco, D., Pereira-Santos, D., & Carvalho, A. C. P. de L. F. de. (2021). Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-86383-8_10
NLM
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Vancouver
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Trabalho de evento-anais periodico
Time-series in hyper-parameter initialization of machine learning techniques (2021)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91608-4_25. Acesso em: 05 jul. 2025. , 2021
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2021). Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91608-4_25
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Artigo de periodico
Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach (2021)
Colliri, Tiago; Minakawa, Marcia Michie; Liang, Zhao
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, FSP
Subjects: REDES COMPLEXAS, COVID-19, PROGNÓSTICO, BIOMARCADORES, CONTAGEM DE CÉLULAS SANGUÍNEAS, APRENDIZADO COMPUTACIONAL
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ABNT
COLLIRI, Tiago e MINAKAWA, Marcia Michie e LIANG, Zhao. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach. Lecture Notes in Computer Science, v. 13074, p. 42-57, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91699-2_4. Acesso em: 05 jul. 2025.
APA
Colliri, T., Minakawa, M. M., & Liang, Z. (2021). Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach. Lecture Notes in Computer Science, 13074, 42-57. doi:10.1007/978-3-030-91699-2_4
NLM
Colliri T, Minakawa MM, Liang Z. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 42-57.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_4
Vancouver
Colliri T, Minakawa MM, Liang Z. Detecting early signs of insufficiency in COVID-19 patients from CBC tests through a supervised learning approach [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 42-57.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_4
Trabalho de evento-anais periodico
A graph-based crossover and soft-repair operators for the steiner tree problem (2021)
Godoi, Giliard Almeida de; Tinós, Renato ; Sanches, Danilo Sipoli
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Subjects: TEORIA DOS GRAFOS, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS GENÉTICOS
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ABNT
GODOI, Giliard Almeida de e TINÓS, Renato e SANCHES, Danilo Sipoli. A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_8. Acesso em: 05 jul. 2025. , 2021
APA
Godoi, G. A. de, Tinós, R., & Sanches, D. S. (2021). A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91702-9_8
NLM
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Vancouver
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Trabalho de evento-anais periodico
A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems (2021)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Coelho, Bruno Gomes ; Viana, Monique Simplicio
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Subjects: DATILOSCOPIA, RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS
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ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87897-9_39. Acesso em: 05 jul. 2025. , 2021
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021). A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-87897-9_39
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Trabalho de evento-anais periodico
Learning and gamification dashboards: a mixed-method study with teachers (2021)
Tenório, Kamilla ; Lemos, Bruno; Nascimento, Pedro; Santos, Rodrigo; Machado, Alexandre; Dermeval, Diego ; Paiva, Ranilson Oscar Araujo ; Isotani, Seiji
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Tutoring Systems - ITS. Unidade: ICMC
Subjects: MODELAGEM DE DADOS, APRENDIZAGEM, JOGOS DE COMPUTADOR
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ABNT
TENÓRIO, Kamilla et al. Learning and gamification dashboards: a mixed-method study with teachers. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-80421-3_45. Acesso em: 05 jul. 2025. , 2021
APA
Tenório, K., Lemos, B., Nascimento, P., Santos, R., Machado, A., Dermeval, D., et al. (2021). Learning and gamification dashboards: a mixed-method study with teachers. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-80421-3_45
NLM
Tenório K, Lemos B, Nascimento P, Santos R, Machado A, Dermeval D, Paiva ROA, Isotani S. Learning and gamification dashboards: a mixed-method study with teachers [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 406-417.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_45
Vancouver
Tenório K, Lemos B, Nascimento P, Santos R, Machado A, Dermeval D, Paiva ROA, Isotani S. Learning and gamification dashboards: a mixed-method study with teachers [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 406-417.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_45
Artigo de periodico
Coarsening algorithm via semi-synchronous label propagation for bipartite networks (2021)
Valejo, Alan Demétrius Baria; Althoff, Paulo Eduardo; Faleiros, Thiago de Paulo; Chuerubim, Maria Lígia; Yan, Jianglong; Liu, Weiguang; Liang, Zhao
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, ANÁLISE MULTINÍVEL, ESTATÍSTICA
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ABNT
VALEJO, Alan Demétrius Baria et al. Coarsening algorithm via semi-synchronous label propagation for bipartite networks. Lecture Notes in Computer Science, v. 13073, p. 437-452, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91702-9_29. Acesso em: 05 jul. 2025.
APA
Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Chuerubim, M. L., Yan, J., Liu, W., & Liang, Z. (2021). Coarsening algorithm via semi-synchronous label propagation for bipartite networks. Lecture Notes in Computer Science, 13073, 437-452. doi:10.1007/978-3-030-91702-9_29
NLM
Valejo ADB, Althoff PE, Faleiros T de P, Chuerubim ML, Yan J, Liu W, Liang Z. Coarsening algorithm via semi-synchronous label propagation for bipartite networks [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 437-452.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_29
Vancouver
Valejo ADB, Althoff PE, Faleiros T de P, Chuerubim ML, Yan J, Liu W, Liang Z. Coarsening algorithm via semi-synchronous label propagation for bipartite networks [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 437-452.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_29
Artigo de periodico
Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques (2021)
Nunes, Breno; Colliri, Tiago; Lauretto, Marcelo de Souza ; Liu, Weiguang; Liang, Zhao
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: EACH, FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, CARTÃO MAGNÉTICO, PADRÕES DE SOFTWARE
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ABNT
NUNES, Breno et al. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques. Lecture Notes in Computer Science, v. 13074, p. 19-32, 2021Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-91699-2_2. Acesso em: 05 jul. 2025.
APA
Nunes, B., Colliri, T., Lauretto, M. de S., Liu, W., & Liang, Z. (2021). Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques. Lecture Notes in Computer Science, 13074, 19-32. doi:10.1007/978-3-030-91699-2_2
NLM
Nunes B, Colliri T, Lauretto M de S, Liu W, Liang Z. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 19-32.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_2
Vancouver
Nunes B, Colliri T, Lauretto M de S, Liu W, Liang Z. Anomaly detection in Brazilian Federal Government purchase cards through unsupervised learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13074 19-32.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_2
Trabalho de evento-anais periodico
A study of the correlation of metafeatures used for metalearning (2021)
Rivolli, Adriano ; Garcia, Luís Paulo Faina ; Lorena, Ana Carolina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Computer Science. Conference titles: International Work-Conference on Artificial Neural Networks - IWANN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
RIVOLLI, Adriano et al. A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-85030-2_39. Acesso em: 05 jul. 2025. , 2021
APA
Rivolli, A., Garcia, L. P. F., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2021). A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-85030-2_39
NLM
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39
Vancouver
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39

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