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Artigo de periodico
What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes (2024)
Marana, Fernanda Tostes ; Fernandes, Renato da Silva ; Bazán Guzmán, Jorge Luis ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Cúri, Mariana
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: SISTEMAS DE RECOMENDAÇÃO, APRENDIZADO COMPUTACIONAL, TEORIA DE RESPOSTA AO ITEM
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ABNT
MARANA, Fernanda Tostes et al. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, v. 245, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.122981. Acesso em: 01 out. 2024.
APA
Marana, F. T., Fernandes, R. da S., Bazán Guzmán, J. L., Carvalho, A. C. P. de L. F. de, & Cúri, M. (2024). What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, 245, 1-12. doi:10.1016/j.eswa.2023.122981
NLM
Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
Vancouver
Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
Artigo de periodico
Designing architectures of convolutional neural networks to solve practical problems (2018)
Ferreira, Martha Dais; Corrêa, Débora Cristina; Nonato, Luis Gustavo ; Mello, Rodrigo Fernandes de
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
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ABNT
FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 01 out. 2024.
APA
Ferreira, M. D., Corrêa, D. C., Nonato, L. G., & Mello, R. F. de. (2018). Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, 94, 205-217. doi:10.1016/j.eswa.2017.10.052
NLM
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Vancouver
Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
Artigo de periodico
A biased random key genetic algorithm for open dimension nesting problems using no-fit raster (2017)
Mundim, Leandro R; Andretta, Marina ; Queiroz, Thiago Alves de
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: ALGORITMOS, PROGRAMAÇÃO NÃO LINEAR
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ABNT
MUNDIM, Leandro R e ANDRETTA, Marina e QUEIROZ, Thiago Alves de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster. Expert Systems with Applications, v. 81, p. 358-371, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.03.059. Acesso em: 01 out. 2024.
APA
Mundim, L. R., Andretta, M., & Queiroz, T. A. de. (2017). A biased random key genetic algorithm for open dimension nesting problems using no-fit raster. Expert Systems with Applications, 81, 358-371. doi:10.1016/j.eswa.2017.03.059
NLM
Mundim LR, Andretta M, Queiroz TA de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster [Internet]. Expert Systems with Applications. 2017 ; 81 358-371.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2017.03.059
Vancouver
Mundim LR, Andretta M, Queiroz TA de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster [Internet]. Expert Systems with Applications. 2017 ; 81 358-371.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2017.03.059
Artigo de periodico
iSports: a web-oriented expert system for talent identification in soccer (2016)
Louzada, Francisco ; Maiorano, Alexandre C; Ara, Anderson
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e MAIORANO, Alexandre C e ARA, Anderson. iSports: a web-oriented expert system for talent identification in soccer. Expert Systems with Applications, v. Fe 2016, p. 400-412, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2015.09.007. Acesso em: 01 out. 2024.
APA
Louzada, F., Maiorano, A. C., & Ara, A. (2016). iSports: a web-oriented expert system for talent identification in soccer. Expert Systems with Applications, Fe 2016, 400-412. doi:10.1016/j.eswa.2015.09.007
NLM
Louzada F, Maiorano AC, Ara A. iSports: a web-oriented expert system for talent identification in soccer [Internet]. Expert Systems with Applications. 2016 ; Fe 2016 400-412.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2015.09.007
Vancouver
Louzada F, Maiorano AC, Ara A. iSports: a web-oriented expert system for talent identification in soccer [Internet]. Expert Systems with Applications. 2016 ; Fe 2016 400-412.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2015.09.007
Artigo de periodico
A survey on symbolic data-based music genre classification (2016)
Corrêa, Débora C; Rodrigues, Francisco Aparecido
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE
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ABNT
CORRÊA, Débora C e RODRIGUES, Francisco Aparecido. A survey on symbolic data-based music genre classification. Expert Systems with Applications, v. 60, p. 190-210, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.04.008. Acesso em: 01 out. 2024.
APA
Corrêa, D. C., & Rodrigues, F. A. (2016). A survey on symbolic data-based music genre classification. Expert Systems with Applications, 60, 190-210. doi:10.1016/j.eswa.2016.04.008
NLM
Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008
Vancouver
Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008
Artigo de periodico
Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool (2012)
Louzada, Francisco ; Ara, Anderson
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e ARA, Anderson. Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool. Expert Systems with Applications, v. 39, n. 14, p. 11583\201311592, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2012.04.024. Acesso em: 01 out. 2024.
APA
Louzada, F., & Ara, A. (2012). Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool. Expert Systems with Applications, 39( 14), 11583\201311592. doi:10.1016/j.eswa.2012.04.024
NLM
Louzada F, Ara A. Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool [Internet]. Expert Systems with Applications. 2012 ; 39( 14): 11583\201311592.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2012.04.024
Vancouver
Louzada F, Ara A. Bagging k-dependence probabilistic networks: an alternative powerful fraud detection tool [Internet]. Expert Systems with Applications. 2012 ; 39( 14): 11583\201311592.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2012.04.024
Artigo de periodico
On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data (2012)
Louzada, Francisco ; Silva, Paulo Henrique Ferreira da; Diniz, Carlos A. R
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco e SILVA, Paulo Henrique Ferreira da e DINIZ, Carlos A. R. On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data. Expert Systems with Applications, v. 39, n. 9, p. 8071-8078, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2012.01.134. Acesso em: 01 out. 2024.
APA
Louzada, F., Silva, P. H. F. da, & Diniz, C. A. R. (2012). On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data. Expert Systems with Applications, 39( 9), 8071-8078. doi:10.1016/j.eswa.2012.01.134
NLM
Louzada F, Silva PHF da, Diniz CAR. On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data [Internet]. Expert Systems with Applications. 2012 ; 39( 9): 8071-8078.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2012.01.134
Vancouver
Louzada F, Silva PHF da, Diniz CAR. On the impact of disproportional samples in credit scoring models: an application to a brazilian bank data [Internet]. Expert Systems with Applications. 2012 ; 39( 9): 8071-8078.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2012.01.134
Artigo de periodico
Poly-bagging predictors for classification modelling for credit scoring (2011)
Louzada, Francisco ; Anacleto-Junior, Osvaldo; Candolo, Cecilia; Mazucheli, Josimara
Fonte: Expert Systems with Applications. Unidade: ICMC
Assuntos: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Francisco et al. Poly-bagging predictors for classification modelling for credit scoring. Expert Systems with Applications, v. 38, n. 10, p. 12717-12720, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2011.04.059. Acesso em: 01 out. 2024.
APA
Louzada, F., Anacleto-Junior, O., Candolo, C., & Mazucheli, J. (2011). Poly-bagging predictors for classification modelling for credit scoring. Expert Systems with Applications, 38( 10), 12717-12720. doi:10.1016/j.eswa.2011.04.059
NLM
Louzada F, Anacleto-Junior O, Candolo C, Mazucheli J. Poly-bagging predictors for classification modelling for credit scoring [Internet]. Expert Systems with Applications. 2011 ; 38( 10): 12717-12720.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2011.04.059
Vancouver
Louzada F, Anacleto-Junior O, Candolo C, Mazucheli J. Poly-bagging predictors for classification modelling for credit scoring [Internet]. Expert Systems with Applications. 2011 ; 38( 10): 12717-12720.[citado 2024 out. 01 ] Available from: https://doi.org/10.1016/j.eswa.2011.04.059

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