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Artigo de periodico
Hierarchical clustering: visualization, feature importance and model selection (2023)
Cabezas, Luben Miguel Cruz; Izbicki, Rafael ; Stern, Rafael Bassi
Source: Applied Soft Computing. Unidade: IME
Assunto: ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CABEZAS, Luben Miguel Cruz e IZBICKI, Rafael e STERN, Rafael Bassi. Hierarchical clustering: visualization, feature importance and model selection. Applied Soft Computing, v. 141, n. artigo 110303, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2023.110303. Acesso em: 19 nov. 2025.
APA
Cabezas, L. M. C., Izbicki, R., & Stern, R. B. (2023). Hierarchical clustering: visualization, feature importance and model selection. Applied Soft Computing, 141( artigo 110303), 1-12. doi:10.1016/j.asoc.2023.110303
NLM
Cabezas LMC, Izbicki R, Stern RB. Hierarchical clustering: visualization, feature importance and model selection [Internet]. Applied Soft Computing. 2023 ; 141( artigo 110303): 1-12.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2023.110303
Vancouver
Cabezas LMC, Izbicki R, Stern RB. Hierarchical clustering: visualization, feature importance and model selection [Internet]. Applied Soft Computing. 2023 ; 141( artigo 110303): 1-12.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2023.110303
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
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
Artigo de periodico
Artificial neural network based crossover for evolutionary algorithms (2020)
Tinós, Renato
Source: Applied Soft Computing. Unidade: FFCLRP
Subjects: ALGORITMOS, REDES NEURAIS, OPERADORES, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TINÓS, Renato. Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, v. 95, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2020.106512. Acesso em: 19 nov. 2025.
APA
Tinós, R. (2020). Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, 95. doi:10.1016/j.asoc.2020.106512
NLM
Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
Vancouver
Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2025 nov. 19 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512

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