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Artigo de periodico
Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification (2024)
Interian, Ruben ; Carpanese, Igor; Mello, Bruno; Ribeiro, Celso da Cruz Carneiro
Source: International Transactions in Operational Research. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ALGORITMOS PARA PROCESSAMENTO, RECONHECIMENTO DE PADRÕES, NOTA FISCAL ELETRÔNICA, CORRUPÇÃO, LICITAÇÃO
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ABNT
INTERIAN, Ruben et al. Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification. International Transactions in Operational Research, v. 31, n. 3, p. 1533-1553, 2024Tradução . . Disponível em: https://doi.org/10.1111/itor.13323. Acesso em: 27 nov. 2025.
APA
Interian, R., Carpanese, I., Mello, B., & Ribeiro, C. da C. C. (2024). Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification. International Transactions in Operational Research, 31( 3), 1533-1553. doi:10.1111/itor.13323
NLM
Interian R, Carpanese I, Mello B, Ribeiro C da CC. Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification [Internet]. International Transactions in Operational Research. 2024 ; 31( 3): 1533-1553.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1111/itor.13323
Vancouver
Interian R, Carpanese I, Mello B, Ribeiro C da CC. Red flag algorithms for Brazilian electronic invoices: outlier detection and price risk classification [Internet]. International Transactions in Operational Research. 2024 ; 31( 3): 1533-1553.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1111/itor.13323
Artigo de periodico
Can Brazilian Central Bank communication help to predict the yield curve? (2023)
Alves, Cássio Roberto de Andrade; Abraham, Kuruvilla Joseph ; Laurini, Marcio Poletti
Source: Journal of Forecasting. Unidades: ICMC, FEARP
Subjects: RECONHECIMENTO DE PADRÕES, INFERÊNCIA BAYESIANA, POLÍTICA MONETÁRIA, BANCO CENTRAL, JUROS
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ABNT
ALVES, Cássio Roberto de Andrade e ABRAHAM, Kuruvilla Joseph e LAURINI, Marcio Poletti. Can Brazilian Central Bank communication help to predict the yield curve?. Journal of Forecasting, v. 42, n. 6, p. 1429-1444, 2023Tradução . . Disponível em: https://doi.org/10.1002/for.2964. Acesso em: 27 nov. 2025.
APA
Alves, C. R. de A., Abraham, K. J., & Laurini, M. P. (2023). Can Brazilian Central Bank communication help to predict the yield curve? Journal of Forecasting, 42( 6), 1429-1444. doi:10.1002/for.2964
NLM
Alves CR de A, Abraham KJ, Laurini MP. Can Brazilian Central Bank communication help to predict the yield curve? [Internet]. Journal of Forecasting. 2023 ; 42( 6): 1429-1444.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/for.2964
Vancouver
Alves CR de A, Abraham KJ, Laurini MP. Can Brazilian Central Bank communication help to predict the yield curve? [Internet]. Journal of Forecasting. 2023 ; 42( 6): 1429-1444.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1002/for.2964
Artigo de periodico
Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition (2021)
Guido, Rodrigo Capobianco ; Pedroso, Fernando; Contreras, Rodrigo Colnago ; Rodrigues, Luciene Cavalcanti; Guariglia, Emanuel ; Suda Neto, Jogi
Source: Digital Signal Processing. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS, PROCESSAMENTO DE SINAIS BIOMÉDICOS, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
GUIDO, Rodrigo Capobianco et al. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition. Digital Signal Processing, v. 117, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2021.103158. Acesso em: 27 nov. 2025.
APA
Guido, R. C., Pedroso, F., Contreras, R. C., Rodrigues, L. C., Guariglia, E., & Suda Neto, J. (2021). Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition. Digital Signal Processing, 117, 1-14. doi:10.1016/j.dsp.2021.103158
NLM
Guido RC, Pedroso F, Contreras RC, Rodrigues LC, Guariglia E, Suda Neto J. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition [Internet]. Digital Signal Processing. 2021 ; 117 1-14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.dsp.2021.103158
Vancouver
Guido RC, Pedroso F, Contreras RC, Rodrigues LC, Guariglia E, Suda Neto J. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition [Internet]. Digital Signal Processing. 2021 ; 117 1-14.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.dsp.2021.103158
Artigo de periodico
Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts (2020)
Sikansi, Fábio Henrique Gomes; Silva, Renato Rodrigues Oliveira da; Cantareira, Gabriel Dias ; Etemad, Elham; Paulovich, Fernando Vieira
Source: Algorithms. Unidade: ICMC
Subjects: VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES
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ABNT
SIKANSI, Fábio Henrique Gomes et al. Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts. Algorithms, v. No 2020, n. 11, p. 1-27, 2020Tradução . . Disponível em: https://doi.org/10.3390/a13110290. Acesso em: 27 nov. 2025.
APA
Sikansi, F. H. G., Silva, R. R. O. da, Cantareira, G. D., Etemad, E., & Paulovich, F. V. (2020). Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts. Algorithms, No 2020( 11), 1-27. doi:10.3390/a13110290
NLM
Sikansi FHG, Silva RRO da, Cantareira GD, Etemad E, Paulovich FV. Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts [Internet]. Algorithms. 2020 ; No 2020( 11): 1-27.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/a13110290
Vancouver
Sikansi FHG, Silva RRO da, Cantareira GD, Etemad E, Paulovich FV. Similarity-driven edge bundling: data-oriented clutter reduction in graphs layouts [Internet]. Algorithms. 2020 ; No 2020( 11): 1-27.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/a13110290
Artigo de periodico
Complex systems: features, similarity and connectivity (2020)
Comin, Cesar Henrique ; Peron, Thomas ; Silva, Filipi Nascimento ; Amancio, Diego Raphael ; Rodrigues, Francisco Aparecido ; Costa, Luciano da Fontoura
Source: Physics Reports. Unidades: ICMC, IFSC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES, REVISÃO SISTEMÁTICA
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ABNT
COMIN, Cesar Henrique et al. Complex systems: features, similarity and connectivity. Physics Reports, v. 861, p. 1-41, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2020.03.002. Acesso em: 27 nov. 2025.
APA
Comin, C. H., Peron, T., Silva, F. N., Amancio, D. R., Rodrigues, F. A., & Costa, L. da F. (2020). Complex systems: features, similarity and connectivity. Physics Reports, 861, 1-41. doi:10.1016/j.physrep.2020.03.002
NLM
Comin CH, Peron T, Silva FN, Amancio DR, Rodrigues FA, Costa L da F. Complex systems: features, similarity and connectivity [Internet]. Physics Reports. 2020 ; 861 1-41.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.physrep.2020.03.002
Vancouver
Comin CH, Peron T, Silva FN, Amancio DR, Rodrigues FA, Costa L da F. Complex systems: features, similarity and connectivity [Internet]. Physics Reports. 2020 ; 861 1-41.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.physrep.2020.03.002
Artigo de periodico
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning (2020)
Rivolli, Adriano ; Read, Jesse; Soares, Carlos; Pfahringer, Bernhard ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Machine Learning. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
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ABNT
RIVOLLI, Adriano et al. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, v. 109, n. 8, p. 1509-1563, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10994-020-05879-3. Acesso em: 27 nov. 2025.
APA
Rivolli, A., Read, J., Soares, C., Pfahringer, B., & Carvalho, A. C. P. de L. F. de. (2020). An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, 109( 8), 1509-1563. doi:10.1007/s10994-020-05879-3
NLM
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Vancouver
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Artigo de periodico
Pre-processing approaches for collaborative filtering based on hierarchical clustering (2020)
Aguiar Neto, Fernando Soares de ; Costa, Arthur Fortes da ; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Source: Information Sciences. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, MULTIMÍDIA INTERATIVA
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ABNT
AGUIAR NETO, Fernando Soares de et al. Pre-processing approaches for collaborative filtering based on hierarchical clustering. Information Sciences, v. 534, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.05.021. Acesso em: 27 nov. 2025.
APA
Aguiar Neto, F. S. de, Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2020). Pre-processing approaches for collaborative filtering based on hierarchical clustering. Information Sciences, 534, Se 2020. doi:10.1016/j.ins.2020.05.021
NLM
Aguiar Neto FS de, Costa AF da, Manzato MG, Campello RJGB. Pre-processing approaches for collaborative filtering based on hierarchical clustering [Internet]. Information Sciences. 2020 ; 534 Se 2020.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.05.021
Vancouver
Aguiar Neto FS de, Costa AF da, Manzato MG, Campello RJGB. Pre-processing approaches for collaborative filtering based on hierarchical clustering [Internet]. Information Sciences. 2020 ; 534 Se 2020.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.05.021
Artigo de periodico
Graphs from features: tree-based graph layout for feature analysis (2020)
Minghim, Rosane ; Huancapaza, Liz ; Artur, Erasmo; Telles, Guilherme Pimentel ; Belizario, Ivar Vargas
Source: Algorithms. Unidade: ICMC
Subjects: VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES
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ABNT
MINGHIM, Rosane et al. Graphs from features: tree-based graph layout for feature analysis. Algorithms, v. No 2020, n. 11, p. 1-23, 2020Tradução . . Disponível em: https://doi.org/10.3390/a13110302. Acesso em: 27 nov. 2025.
APA
Minghim, R., Huancapaza, L., Artur, E., Telles, G. P., & Belizario, I. V. (2020). Graphs from features: tree-based graph layout for feature analysis. Algorithms, No 2020( 11), 1-23. doi:10.3390/a13110302
NLM
Minghim R, Huancapaza L, Artur E, Telles GP, Belizario IV. Graphs from features: tree-based graph layout for feature analysis [Internet]. Algorithms. 2020 ; No 2020( 11): 1-23.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/a13110302
Vancouver
Minghim R, Huancapaza L, Artur E, Telles GP, Belizario IV. Graphs from features: tree-based graph layout for feature analysis [Internet]. Algorithms. 2020 ; No 2020( 11): 1-23.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/a13110302
Artigo de periodico
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers (2019)
Mantovani, Rafael G; Rossi, André Luis Debiaso; Alcobaça, Edesio; Vanschoren, Joaquin; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM
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ABNT
MANTOVANI, Rafael G et al. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. Information Sciences, v. 501, p. 193-221, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.06.005. Acesso em: 27 nov. 2025.
APA
Mantovani, R. G., Rossi, A. L. D., Alcobaça, E., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2019). A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers. Information Sciences, 501, 193-221. doi:10.1016/j.ins.2019.06.005
NLM
Mantovani RG, Rossi ALD, Alcobaça E, Vanschoren J, Carvalho ACP de LF de. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers [Internet]. Information Sciences. 2019 ; 501 193-221.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.06.005
Vancouver
Mantovani RG, Rossi ALD, Alcobaça E, Vanschoren J, Carvalho ACP de LF de. A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers [Internet]. Information Sciences. 2019 ; 501 193-221.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.06.005
Artigo de periodico
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning (2019)
Fernandes, Everlandio Rebouças Queiroz; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
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ABNT
FERNANDES, Everlandio Rebouças Queiroz e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, v. 494, p. 141-154, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.04.052. Acesso em: 27 nov. 2025.
APA
Fernandes, E. R. Q., & Carvalho, A. C. P. de L. F. de. (2019). Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, 494, 141-154. doi:10.1016/j.ins.2019.04.052
NLM
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Vancouver
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Artigo de periodico
An incremental linear-time learning algorithm for the optimum-path forest classifier (2017)
Ponti, Moacir Antonelli ; Riva, Mateus
Source: Information Processing Letters. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO GRÁFICA, RECONHECIMENTO DE PADRÕES, ALGORITMOS GRÁFICOS
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ABNT
PONTI, Moacir Antonelli e RIVA, Mateus. An incremental linear-time learning algorithm for the optimum-path forest classifier. Information Processing Letters, v. 126, p. 1-6, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ipl.2017.05.004. Acesso em: 27 nov. 2025.
APA
Ponti, M. A., & Riva, M. (2017). An incremental linear-time learning algorithm for the optimum-path forest classifier. Information Processing Letters, 126, 1-6. doi:10.1016/j.ipl.2017.05.004
NLM
Ponti MA, Riva M. An incremental linear-time learning algorithm for the optimum-path forest classifier [Internet]. Information Processing Letters. 2017 ; 126 1-6.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ipl.2017.05.004
Vancouver
Ponti MA, Riva M. An incremental linear-time learning algorithm for the optimum-path forest classifier [Internet]. Information Processing Letters. 2017 ; 126 1-6.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ipl.2017.05.004
Artigo de periodico
A feature selection technique for inference of graphs from their known topological properties: revealing scale-free gene regulatory networks (2014)
Lopes, Fabrício Martins; Martins Junior, David Correa; Barrera, Júnior; César Júnior, Roberto Marcondes
Source: Information Sciences. Unidade: IME
Subjects: BIOINFORMÁTICA, INFERÊNCIA ESTATÍSTICA, RECONHECIMENTO DE PADRÕES, ENGENHARIA REVERSA DE SOFTWARE
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ABNT
LOPES, Fabrício Martins et al. A feature selection technique for inference of graphs from their known topological properties: revealing scale-free gene regulatory networks. Information Sciences, v. 272, p. 1-15, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2014.02.096. Acesso em: 27 nov. 2025.
APA
Lopes, F. M., Martins Junior, D. C., Barrera, J., & César Júnior, R. M. (2014). A feature selection technique for inference of graphs from their known topological properties: revealing scale-free gene regulatory networks. Information Sciences, 272, 1-15. doi:10.1016/j.ins.2014.02.096
NLM
Lopes FM, Martins Junior DC, Barrera J, César Júnior RM. A feature selection technique for inference of graphs from their known topological properties: revealing scale-free gene regulatory networks [Internet]. Information Sciences. 2014 ; 272 1-15.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2014.02.096
Vancouver
Lopes FM, Martins Junior DC, Barrera J, César Júnior RM. A feature selection technique for inference of graphs from their known topological properties: revealing scale-free gene regulatory networks [Internet]. Information Sciences. 2014 ; 272 1-15.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2014.02.096

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