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Artigo de periodico
Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors (2022)
Silva, Gabriel Mariano de Castro; Sichman, Jaime S.
Source: Applied Soft Computing. Unidade: EP
Subjects: EDIFÍCIOS INTELIGENTES, SISTEMAS DE CONTROLE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Gabriel Mariano de Castro e SICHMAN, Jaime S. Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors. Applied Soft Computing, v. 118, p. 108310, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108310. Acesso em: 19 nov. 2025.
APA
Silva, G. M. de C., & Sichman, J. S. (2022). Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors. Applied Soft Computing, 118, 108310. doi:10.1016/j.asoc.2021.108310
NLM
Silva GM de C, Sichman JS. Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors [Internet]. Applied Soft Computing. 2022 ; 118 108310.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108310
Vancouver
Silva GM de C, Sichman JS. Impersonation fraud detection on building access control systems: an approach based on anomalous social and spatio-temporal behaviors [Internet]. Applied Soft Computing. 2022 ; 118 108310.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108310
Artigo de periodico
Learning graph representation with randomized neural network for dynamic texture classification (2022)
Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Manzanera, Antoine ; Bruno, Odemir Martinez
Source: Applied Soft Computing. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 19 nov. 2025.
APA
Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
NLM
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Vancouver
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Artigo de periodico
Regularization-free multicriteria optimization of polymer viscoelasticity model (2022)
Monaco, Francisco José ; Denysiuk, Roman ; Delbem, Alexandre Cláudio Botazzo ; Gaspar-Cunha, António
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, COMPUTAÇÃO EVOLUTIVA, REOLOGIA, GEOMETRIA E MODELAGEM COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MONACO, Francisco José et al. Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, v. 124, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109040. Acesso em: 19 nov. 2025.
APA
Monaco, F. J., Denysiuk, R., Delbem, A. C. B., & Gaspar-Cunha, A. (2022). Regularization-free multicriteria optimization of polymer viscoelasticity model. Applied Soft Computing, 124, 1-18. doi:10.1016/j.asoc.2022.109040
NLM
Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
Vancouver
Monaco FJ, Denysiuk R, Delbem ACB, Gaspar-Cunha A. Regularization-free multicriteria optimization of polymer viscoelasticity model [Internet]. Applied Soft Computing. 2022 ; 124 1-18.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2022.109040
Artigo de periodico
Order book mid-price movement inference by CatBoost classifier from convolutional feature maps (2022)
Bileki, Guilherme Augusto ; Barboza, Flavio Luiz de Moraes ; Silva, Luis Henrique Claudino ; Bonato, Vanderlei
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BOLSA DE VALORES, PREÇO DE AÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BILEKI, Guilherme Augusto et al. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, v. 116, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108274. Acesso em: 19 nov. 2025.
APA
Bileki, G. A., Barboza, F. L. de M., Silva, L. H. C., & Bonato, V. (2022). Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, 116, 1-13. doi:10.1016/j.asoc.2021.108274
NLM
Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
Vancouver
Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274

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