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Artigo de periodico
Machine learning applied to understand perceptions, habits and preferences of lamb meat consumers in the Brazilian semi-arid region (2023)
Silveira, Robson Mateus Freitas ; Lima, Débora Fonteles; Camelo, Beatriz Veloso; McManus, Concepta; Silva, Valdson José da; Ferreira, Josiel; Costa, Hélio Henrique Araújo; Dias, Carlos Tadeu dos Santos ; Castillo, Carmen Josefina Contreras ; Paveloski, Alessandro; Vecchi, Laura Bertolaso De ; Sales, Arthur Pereira; Sarries, Gabriel Adrian ; Landim, Aline Vieira
Source: Small Ruminant Research. Unidade: ESALQ
Subjects: ANÁLISE MULTIVARIADA, APRENDIZADO COMPUTACIONAL, CARNES E DERIVADOS, CORDEIROS, COMPORTAMENTO DO CONSUMIDOR, CONSUMO DE ALIMENTOS, HÁBITOS ALIMENTARES, PREFERÊNCIAS ALIMENTARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVEIRA, Robson Mateus Freitas et al. Machine learning applied to understand perceptions, habits and preferences of lamb meat consumers in the Brazilian semi-arid region. Small Ruminant Research, v. 227, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.smallrumres.2023.107088. Acesso em: 03 nov. 2024.
APA
Silveira, R. M. F., Lima, D. F., Camelo, B. V., McManus, C., Silva, V. J. da, Ferreira, J., et al. (2023). Machine learning applied to understand perceptions, habits and preferences of lamb meat consumers in the Brazilian semi-arid region. Small Ruminant Research, 227, 1-9. doi:10.1016/j.smallrumres.2023.107088
NLM
Silveira RMF, Lima DF, Camelo BV, McManus C, Silva VJ da, Ferreira J, Costa HHA, Dias CT dos S, Castillo CJC, Paveloski A, Vecchi LBD, Sales AP, Sarries GA, Landim AV. Machine learning applied to understand perceptions, habits and preferences of lamb meat consumers in the Brazilian semi-arid region [Internet]. Small Ruminant Research. 2023 ; 227 1-9.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.smallrumres.2023.107088
Vancouver
Silveira RMF, Lima DF, Camelo BV, McManus C, Silva VJ da, Ferreira J, Costa HHA, Dias CT dos S, Castillo CJC, Paveloski A, Vecchi LBD, Sales AP, Sarries GA, Landim AV. Machine learning applied to understand perceptions, habits and preferences of lamb meat consumers in the Brazilian semi-arid region [Internet]. Small Ruminant Research. 2023 ; 227 1-9.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.smallrumres.2023.107088
Artigo de periodico
Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features (2023)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, v. 134, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109969. Acesso em: 03 nov. 2024.
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2023). Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features. Applied Soft Computing, 134, 1-17. doi:10.1016/j.asoc.2022.109969
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Hyper-parameter initialization of classification algorithms using dynamic time warping: a perspective on PCA meta-features [Internet]. Applied Soft Computing. 2023 ; 134 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.asoc.2022.109969
Trabalho de evento-anais periodico
Time-series in hyper-parameter initialization of machine learning techniques (2021)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91608-4_25. Acesso em: 03 nov. 2024. , 2021
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2021). Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91608-4_25
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Trabalho de evento-anais periodico
Effects of random sampling on SVM hyper-parameter tuning (2017)
Horváth, Tomás; Mantovani, Rafael G; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Advances in Intelligent Systems and Computing. Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael G e CARVALHO, André Carlos Ponce de Leon Ferreira de. Effects of random sampling on SVM hyper-parameter tuning. Advances in Intelligent Systems and Computing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-53480-0_27. Acesso em: 03 nov. 2024. , 2017
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2017). Effects of random sampling on SVM hyper-parameter tuning. Advances in Intelligent Systems and Computing. Cham: Springer. doi:10.1007/978-3-319-53480-0_27
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Effects of random sampling on SVM hyper-parameter tuning [Internet]. Advances in Intelligent Systems and Computing. 2017 ; 557 268-278.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-319-53480-0_27
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Effects of random sampling on SVM hyper-parameter tuning [Internet]. Advances in Intelligent Systems and Computing. 2017 ; 557 268-278.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-319-53480-0_27

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