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Artigo de periodico
Keywords attention for fake news detection using few positive labels (2024)
Souza, Mariana Caravanti de ; Gôlo, Marcos Paulo Silva ; Jorge, Alípio Mário Guedes ; Amorim, Evelin Carvalho Freire de ; Campos, Ricardo Nuno Taborda; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, FAKE NEWS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Mariana Caravanti de et al. Keywords attention for fake news detection using few positive labels. Information Sciences, v. 663, p. 1-23, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2024.120300. Acesso em: 21 out. 2024.
APA
Souza, M. C. de, Gôlo, M. P. S., Jorge, A. M. G., Amorim, E. C. F. de, Campos, R. N. T., Marcacini, R. M., & Rezende, S. O. (2024). Keywords attention for fake news detection using few positive labels. Information Sciences, 663, 1-23. doi:10.1016/j.ins.2024.120300
NLM
Souza MC de, Gôlo MPS, Jorge AMG, Amorim ECF de, Campos RNT, Marcacini RM, Rezende SO. Keywords attention for fake news detection using few positive labels [Internet]. Information Sciences. 2024 ; 663 1-23.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2024.120300
Vancouver
Souza MC de, Gôlo MPS, Jorge AMG, Amorim ECF de, Campos RNT, Marcacini RM, Rezende SO. Keywords attention for fake news detection using few positive labels [Internet]. Information Sciences. 2024 ; 663 1-23.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2024.120300
Artigo de periodico
Text characterization based on recurrence networks (2023)
Souza, Bárbara Côrtes e ; Silva, Filipi Nascimento ; Arruda, Henrique Ferraz de ; Silva, Giovana Daniele da ; Costa, Luciano da Fontoura ; Amancio, Diego Raphael
Source: Information Sciences. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, GEOMETRIA E MODELAGEM COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Bárbara Côrtes e et al. Text characterization based on recurrence networks. Information Sciences, v. 641, p. 119124-1-119124-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2023.119124. Acesso em: 21 out. 2024.
APA
Souza, B. C. e, Silva, F. N., Arruda, H. F. de, Silva, G. D. da, Costa, L. da F., & Amancio, D. R. (2023). Text characterization based on recurrence networks. Information Sciences, 641, 119124-1-119124-15. doi:10.1016/j.ins.2023.119124
NLM
Souza BC e, Silva FN, Arruda HF de, Silva GD da, Costa L da F, Amancio DR. Text characterization based on recurrence networks [Internet]. Information Sciences. 2023 ; 641 119124-1-119124-15.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2023.119124
Vancouver
Souza BC e, Silva FN, Arruda HF de, Silva GD da, Costa L da F, Amancio DR. Text characterization based on recurrence networks [Internet]. Information Sciences. 2023 ; 641 119124-1-119124-15.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2023.119124
Artigo de periodico
Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination (2022)
Aradhya, Abhay M. S ; Ashfahani, Andri; Angelina, Fienny; Pratama, Mahardhika ; Mello, Rodrigo Fernandes de ; Sundaram, Suresh
Source: Information Sciences. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO EVOLUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARADHYA, Abhay M. S et al. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination. Information Sciences, v. 607, p. 638-653, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2022.05.100. Acesso em: 21 out. 2024.
APA
Aradhya, A. M. S., Ashfahani, A., Angelina, F., Pratama, M., Mello, R. F. de, & Sundaram, S. (2022). Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination. Information Sciences, 607, 638-653. doi:10.1016/j.ins.2022.05.100
NLM
Aradhya AMS, Ashfahani A, Angelina F, Pratama M, Mello RF de, Sundaram S. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination [Internet]. Information Sciences. 2022 ; 607 638-653.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2022.05.100
Vancouver
Aradhya AMS, Ashfahani A, Angelina F, Pratama M, Mello RF de, Sundaram S. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination [Internet]. Information Sciences. 2022 ; 607 638-653.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2022.05.100
Artigo de periodico
LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks (2021)
Rodrigues Junior, José Fernando ; Gutierrez, Marco Antonio ; Spadon, Gabriel ; Machado, Bruno Brandoli ; Amer-Yahia, Sihem
Source: Information Sciences. Unidades: ICMC, EP
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), PROGNÓSTICO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES JUNIOR, José Fernando et al. LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. Information Sciences, v. 545, p. 813-827, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.09.024. Acesso em: 21 out. 2024.
APA
Rodrigues Junior, J. F., Gutierrez, M. A., Spadon, G., Machado, B. B., & Amer-Yahia, S. (2021). LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. Information Sciences, 545, 813-827. doi:10.1016/j.ins.2020.09.024
NLM
Rodrigues Junior JF, Gutierrez MA, Spadon G, Machado BB, Amer-Yahia S. LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks [Internet]. Information Sciences. 2021 ; 545 813-827.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2020.09.024
Vancouver
Rodrigues Junior JF, Gutierrez MA, Spadon G, Machado BB, Amer-Yahia S. LIG-Doctor: efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks [Internet]. Information Sciences. 2021 ; 545 813-827.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2020.09.024
Artigo de periodico
A comparative analysis of knowledge acquisition performance in complex networks (2021)
Guerreiro, Lucas; Silva, Filipi Nascimento ; Amancio, Diego Raphael
Source: Information Sciences. Unidade: ICMC
Subjects: REDES COMPLEXAS, DESCOBERTA DE CONHECIMENTO
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ABNT
GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. A comparative analysis of knowledge acquisition performance in complex networks. Information Sciences, v. 555, p. 46-57, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.12.060. Acesso em: 21 out. 2024.
APA
Guerreiro, L., Silva, F. N., & Amancio, D. R. (2021). A comparative analysis of knowledge acquisition performance in complex networks. Information Sciences, 555, 46-57. doi:10.1016/j.ins.2020.12.060
NLM
Guerreiro L, Silva FN, Amancio DR. A comparative analysis of knowledge acquisition performance in complex networks [Internet]. Information Sciences. 2021 ; 555 46-57.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2020.12.060
Vancouver
Guerreiro L, Silva FN, Amancio DR. A comparative analysis of knowledge acquisition performance in complex networks [Internet]. Information Sciences. 2021 ; 555 46-57.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2020.12.060
Artigo de periodico
A graph-based approach for positive and unlabeled learning (2021)
Carnevali, Julio César ; Rossi, Rafael Geraldeli ; Milios, Evangelos ; Lopes, Alneu de Andrade
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEVALI, Julio César et al. A graph-based approach for positive and unlabeled learning. Information Sciences, v. No 2021, p. 655-672, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.08.099. Acesso em: 21 out. 2024.
APA
Carnevali, J. C., Rossi, R. G., Milios, E., & Lopes, A. de A. (2021). A graph-based approach for positive and unlabeled learning. Information Sciences, No 2021, 655-672. doi:10.1016/j.ins.2021.08.099
NLM
Carnevali JC, Rossi RG, Milios E, Lopes A de A. A graph-based approach for positive and unlabeled learning [Internet]. Information Sciences. 2021 ; No 2021 655-672.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2021.08.099
Vancouver
Carnevali JC, Rossi RG, Milios E, Lopes A de A. A graph-based approach for positive and unlabeled learning [Internet]. Information Sciences. 2021 ; No 2021 655-672.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2021.08.099
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: 21 out. 2024.
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 2024 out. 21 ] 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 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2020.05.021
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: 21 out. 2024.
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 2024 out. 21 ] 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 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2019.06.005
Artigo de periodico
A new data characterization for selecting clustering algorithms using meta-learning (2019)
Pimentel, Bruno Almeida; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
PIMENTEL, Bruno Almeida e CARVALHO, André Carlos Ponce de Leon Ferreira de. A new data characterization for selecting clustering algorithms using meta-learning. Information Sciences, v. 477, p. 203-219, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2018.10.043. Acesso em: 21 out. 2024.
APA
Pimentel, B. A., & Carvalho, A. C. P. de L. F. de. (2019). A new data characterization for selecting clustering algorithms using meta-learning. Information Sciences, 477, 203-219. doi:10.1016/j.ins.2018.10.043
NLM
Pimentel BA, Carvalho ACP de LF de. A new data characterization for selecting clustering algorithms using meta-learning [Internet]. Information Sciences. 2019 ; 477 203-219.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2018.10.043
Vancouver
Pimentel BA, Carvalho ACP de LF de. A new data characterization for selecting clustering algorithms using meta-learning [Internet]. Information Sciences. 2019 ; 477 203-219.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2018.10.043
Artigo de periodico
Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model (2019)
Parmezan, Antonio Rafael Sabino; Souza, Vinícius M. A; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, MINERAÇÃO DE DADOS
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ABNT
PARMEZAN, Antonio Rafael Sabino e SOUZA, Vinícius M. A e BATISTA, Gustavo Enrique de Almeida Prado Alves. Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model. Information Sciences, v. 484, p. 302-337, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.01.076. Acesso em: 21 out. 2024.
APA
Parmezan, A. R. S., Souza, V. M. A., & Batista, G. E. de A. P. A. (2019). Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model. Information Sciences, 484, 302-337. doi:10.1016/j.ins.2019.01.076
NLM
Parmezan ARS, Souza VMA, Batista GE de APA. Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model [Internet]. Information Sciences. 2019 ; 484 302-337.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2019.01.076
Vancouver
Parmezan ARS, Souza VMA, Batista GE de APA. Evaluation of statistical and machine learning models for time series prediction: identifying the state-of-the-art and the best conditions for the use of each model [Internet]. Information Sciences. 2019 ; 484 302-337.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2019.01.076
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 21 out. 2024.
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 2024 out. 21 ] 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 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Artigo de periodico
Word sense disambiguation: a complex network approach (2018)
Corrêa Junior, Edilson A; Lopes, Alneu de Andrade ; Amancio, Diego Raphael
Source: Information Sciences. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES COMPLEXAS, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORRÊA JUNIOR, Edilson A e LOPES, Alneu de Andrade e AMANCIO, Diego Raphael. Word sense disambiguation: a complex network approach. Information Sciences, v. 442-443, p. 103-113, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2018.02.047. Acesso em: 21 out. 2024.
APA
Corrêa Junior, E. A., Lopes, A. de A., & Amancio, D. R. (2018). Word sense disambiguation: a complex network approach. Information Sciences, 442-443, 103-113. doi:10.1016/j.ins.2018.02.047
NLM
Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2018.02.047
Vancouver
Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2018.02.047
Artigo de periodico
Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering (2018)
Cunha, Tiago; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUNHA, Tiago e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering. Information Sciences, v. 423, n. Ja 2018, p. 128-144, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2017.09.050. Acesso em: 21 out. 2024.
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering. Information Sciences, 423( Ja 2018), 128-144. doi:10.1016/j.ins.2017.09.050
NLM
Cunha T, Soares C, Carvalho ACP de LF de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering [Internet]. Information Sciences. 2018 ; 423( Ja 2018): 128-144.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2017.09.050
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering [Internet]. Information Sciences. 2018 ; 423( Ja 2018): 128-144.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2017.09.050
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 21 out. 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 out. 21 ] 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 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2016.09.006
Artigo de periodico
Knowledge acquisition: a complex networks approach (2017)
Arruda, Henrique F.; Silva, Filipi N.; Costa, Luciano da Fontoura ; Amancio, Diego Raphael
Source: Information Sciences. Unidades: IFSC, ICMC
Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARRUDA, Henrique F. et al. Knowledge acquisition: a complex networks approach. Information Sciences, v. 421, p. 154-166, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2017.08.091. Acesso em: 21 out. 2024.
APA
Arruda, H. F., Silva, F. N., Costa, L. da F., & Amancio, D. R. (2017). Knowledge acquisition: a complex networks approach. Information Sciences, 421, 154-166. doi:10.1016/j.ins.2017.08.091
NLM
Arruda HF, Silva FN, Costa L da F, Amancio DR. Knowledge acquisition: a complex networks approach [Internet]. Information Sciences. 2017 ; 421 154-166.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2017.08.091
Vancouver
Arruda HF, Silva FN, Costa L da F, Amancio DR. Knowledge acquisition: a complex networks approach [Internet]. Information Sciences. 2017 ; 421 154-166.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2017.08.091
Artigo de periodico
Genetic generation of fuzzy systems with rule extraction using formal concept analysis (2016)
Cintra, M. E; Camargo, H. A; Monard, Maria Carolina
Source: Information Sciences. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CINTRA, M. E e CAMARGO, H. A e MONARD, Maria Carolina. Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Information Sciences, v. 349-350, p. 199-215, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.02.026. Acesso em: 21 out. 2024.
APA
Cintra, M. E., Camargo, H. A., & Monard, M. C. (2016). Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Information Sciences, 349-350, 199-215. doi:10.1016/j.ins.2016.02.026
NLM
Cintra ME, Camargo HA, Monard MC. Genetic generation of fuzzy systems with rule extraction using formal concept analysis [Internet]. Information Sciences. 2016 ; 349-350 199-215.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2016.02.026
Vancouver
Cintra ME, Camargo HA, Monard MC. Genetic generation of fuzzy systems with rule extraction using formal concept analysis [Internet]. Information Sciences. 2016 ; 349-350 199-215.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2016.02.026
Artigo de periodico
Using unsupervised information to improve semi-supervised tweet sentiment classification (2016)
Silva, Nádia Felix Felipe da; Coletta, Luiz Fernando Sommaggio ; Hruschka, Eduardo Raul ; Hruschka Junior, Estevam Rafael
Source: Information Sciences. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Nádia Felix Felipe da et al. Using unsupervised information to improve semi-supervised tweet sentiment classification. Information Sciences, v. 355, p. 348-365, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2016.02.002. Acesso em: 21 out. 2024.
APA
Silva, N. F. F. da, Coletta, L. F. S., Hruschka, E. R., & Hruschka Junior, E. R. (2016). Using unsupervised information to improve semi-supervised tweet sentiment classification. Information Sciences, 355, 348-365. doi:10.1016/j.ins.2016.02.002
NLM
Silva NFF da, Coletta LFS, Hruschka ER, Hruschka Junior ER. Using unsupervised information to improve semi-supervised tweet sentiment classification [Internet]. Information Sciences. 2016 ; 355 348-365.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2016.02.002
Vancouver
Silva NFF da, Coletta LFS, Hruschka ER, Hruschka Junior ER. Using unsupervised information to improve semi-supervised tweet sentiment classification [Internet]. Information Sciences. 2016 ; 355 348-365.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2016.02.002
Artigo de periodico
Approximate XML structure validation based on document-grammar tree similarity (2015)
Tekli, Joe; Chbeir, Richard; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Fileto, Renato
Source: Information Sciences. 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
TEKLI, Joe et al. Approximate XML structure validation based on document-grammar tree similarity. Information Sciences, v. fe 2015, p. 258-302, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2014.09.044. Acesso em: 21 out. 2024.
APA
Tekli, J., Chbeir, R., Traina, A. J. M., Traina Junior, C., & Fileto, R. (2015). Approximate XML structure validation based on document-grammar tree similarity. Information Sciences, fe 2015, 258-302. doi:10.1016/j.ins.2014.09.044
NLM
Tekli J, Chbeir R, Traina AJM, Traina Junior C, Fileto R. Approximate XML structure validation based on document-grammar tree similarity [Internet]. Information Sciences. 2015 ; fe 2015 258-302.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2014.09.044
Vancouver
Tekli J, Chbeir R, Traina AJM, Traina Junior C, Fileto R. Approximate XML structure validation based on document-grammar tree similarity [Internet]. Information Sciences. 2015 ; fe 2015 258-302.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2014.09.044
Artigo de periodico
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation (2014)
Basgalupp, Márcio P; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Freitas, Alex A
Source: Information Sciences. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BASGALUPP, Márcio P et al. Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Information Sciences, v. fe 2014, p. 160-181, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2013.07.025. Acesso em: 21 out. 2024.
APA
Basgalupp, M. P., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Freitas, A. A. (2014). Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Information Sciences, fe 2014, 160-181. doi:10.1016/j.ins.2013.07.025
NLM
Basgalupp MP, Barros RC, Carvalho ACP de LF de, Freitas AA. Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation [Internet]. Information Sciences. 2014 ; fe 2014 160-181.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2013.07.025
Vancouver
Basgalupp MP, Barros RC, Carvalho ACP de LF de, Freitas AA. Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation [Internet]. Information Sciences. 2014 ; fe 2014 160-181.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2013.07.025
Artigo de periodico
QuMinS: fast and scalable querying, mining and summarizing multi-modal databases (2014)
Cordeiro, Robson Leonardo Ferreira ; Guo, Fan; Haverkamp, Donna S; Horne, James H; Hughes, Ellen K; Kim, Gunhee; Romani, Luciana A. S; Coltri, Priscila P; Souza, Tamires T; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Faloutsos, Christos
Source: Information Sciences. 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. QuMinS: fast and scalable querying, mining and summarizing multi-modal databases. Information Sciences, v. 264, p. 211-229, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2013.11.013. Acesso em: 21 out. 2024.
APA
Cordeiro, R. L. F., Guo, F., Haverkamp, D. S., Horne, J. H., Hughes, E. K., Kim, G., et al. (2014). QuMinS: fast and scalable querying, mining and summarizing multi-modal databases. Information Sciences, 264, 211-229. doi:10.1016/j.ins.2013.11.013
NLM
Cordeiro RLF, Guo F, Haverkamp DS, Horne JH, Hughes EK, Kim G, Romani LAS, Coltri PP, Souza TT, Traina AJM, Traina Junior C, Faloutsos C. QuMinS: fast and scalable querying, mining and summarizing multi-modal databases [Internet]. Information Sciences. 2014 ; 264 211-229.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2013.11.013
Vancouver
Cordeiro RLF, Guo F, Haverkamp DS, Horne JH, Hughes EK, Kim G, Romani LAS, Coltri PP, Souza TT, Traina AJM, Traina Junior C, Faloutsos C. QuMinS: fast and scalable querying, mining and summarizing multi-modal databases [Internet]. Information Sciences. 2014 ; 264 211-229.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ins.2013.11.013

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