ReP USP - Resultado da busca

Artigo de periodico
Predictive modeling for wine authenticity using a machine learning approach (2021)
Costa, Nattane Luíza da ; Valentin, Leonardo A; Castro, Inar Alves de ; Barbosa, Rommel Melgaço
Source: Artificial Intelligence in Agriculture. Unidade: FCF
Subjects: VINHO, COMPOSTOS VOLÁTEIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Nattane Luíza da et al. Predictive modeling for wine authenticity using a machine learning approach. Artificial Intelligence in Agriculture, v. 5, p. 157-162, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.aiia.2021.07.001. Acesso em: 10 nov. 2024.
APA
Costa, N. L. da, Valentin, L. A., Castro, I. A. de, & Barbosa, R. M. (2021). Predictive modeling for wine authenticity using a machine learning approach. Artificial Intelligence in Agriculture, 5, 157-162. doi:10.1016/j.aiia.2021.07.001
NLM
Costa NL da, Valentin LA, Castro IA de, Barbosa RM. Predictive modeling for wine authenticity using a machine learning approach [Internet]. Artificial Intelligence in Agriculture. 2021 ; 5 157-162.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.aiia.2021.07.001
Vancouver
Costa NL da, Valentin LA, Castro IA de, Barbosa RM. Predictive modeling for wine authenticity using a machine learning approach [Internet]. Artificial Intelligence in Agriculture. 2021 ; 5 157-162.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.aiia.2021.07.001
Artigo de periodico
Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis (2020)
Valentin, Leonardo; Barroso, Lucia Pereira; Barbosa, Rommel Melgaço ; Paulo, Gustavo A de ; Castro, Inar Alves de
Source: Food Chemistry. Unidades: IME, FCF
Subjects: COMPOSTOS FENÓLICOS, VINHO, ESPECTROMETRIA DE MASSAS, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALENTIN, Leonardo et al. Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis. Food Chemistry, v. 302, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.foodchem.2019.125340. Acesso em: 10 nov. 2024.
APA
Valentin, L., Barroso, L. P., Barbosa, R. M., Paulo, G. A. de, & Castro, I. A. de. (2020). Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis. Food Chemistry, 302, 1-8. doi:10.1016/j.foodchem.2019.125340
NLM
Valentin L, Barroso LP, Barbosa RM, Paulo GA de, Castro IA de. Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis [Internet]. Food Chemistry. 2020 ; 302 1-8.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2019.125340
Vancouver
Valentin L, Barroso LP, Barbosa RM, Paulo GA de, Castro IA de. Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis [Internet]. Food Chemistry. 2020 ; 302 1-8.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.foodchem.2019.125340
Artigo de periodico
The use of data mining to classify Carménère and Merlot wines from Chile (2019)
Costa, Nattane Luíza; Llobodanin, Laura Andrea García; Castro, Inar Alves de ; Barbosa, Rommel
Source: Expert Systems. Unidade: FCF
Subjects: VINHO, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Nattane Luíza et al. The use of data mining to classify Carménère and Merlot wines from Chile. Expert Systems, v. 36, n. 2, p. 1-11 art. e12361, 2019Tradução . . Disponível em: https://doi.org/10.1111/exsy.12361. Acesso em: 10 nov. 2024.
APA
Costa, N. L., Llobodanin, L. A. G., Castro, I. A. de, & Barbosa, R. (2019). The use of data mining to classify Carménère and Merlot wines from Chile. Expert Systems, 36( 2), 1-11 art. e12361. doi:10.1111/exsy.12361
NLM
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. The use of data mining to classify Carménère and Merlot wines from Chile [Internet]. Expert Systems. 2019 ; 36( 2): 1-11 art. e12361.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1111/exsy.12361
Vancouver
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. The use of data mining to classify Carménère and Merlot wines from Chile [Internet]. Expert Systems. 2019 ; 36( 2): 1-11 art. e12361.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1111/exsy.12361
Artigo de periodico
Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines (2019)
Costa, Nattane Luíza; Llobodanin, Laura Andrea García; Castro, Inar Alves de ; Barbosa, Rommel
Source: European Food Research and Technology. Unidade: FCF
Subjects: VINHO, ANÁLISE SENSORIAL DE ALIMENTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Nattane Luíza et al. Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines. European Food Research and Technology, v. 245, p. 1207-1228, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00217-019-03245-9. Acesso em: 10 nov. 2024.
APA
Costa, N. L., Llobodanin, L. A. G., Castro, I. A. de, & Barbosa, R. (2019). Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines. European Food Research and Technology, 245, 1207-1228. doi:10.1007/s00217-019-03245-9
NLM
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines [Internet]. European Food Research and Technology. 2019 ; 245 1207-1228.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s00217-019-03245-9
Vancouver
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines [Internet]. European Food Research and Technology. 2019 ; 245 1207-1228.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s00217-019-03245-9
Artigo de periodico
Geographical classification of tannat wines based on support vector machines and feature selection (2018)
Costa, Nattane Luíza; Llobodanin, Laura Andrea García; Castro, Inar Alves de ; Barbosa, Rommel
Source: Beverages. Unidade: FCF
Assunto: VINHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Nattane Luíza et al. Geographical classification of tannat wines based on support vector machines and feature selection. Beverages, v. 4, n. 4, p. 1-15 art. 97, 2018Tradução . . Disponível em: https://doi.org/10.3390/beverages4040097. Acesso em: 10 nov. 2024.
APA
Costa, N. L., Llobodanin, L. A. G., Castro, I. A. de, & Barbosa, R. (2018). Geographical classification of tannat wines based on support vector machines and feature selection. Beverages, 4( 4), 1-15 art. 97. doi:10.3390/beverages4040097
NLM
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Geographical classification of tannat wines based on support vector machines and feature selection [Internet]. Beverages. 2018 ; 4( 4): 1-15 art. 97.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/beverages4040097
Vancouver
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Geographical classification of tannat wines based on support vector machines and feature selection [Internet]. Beverages. 2018 ; 4( 4): 1-15 art. 97.[citado 2024 nov. 10 ] Available from: https://doi.org/10.3390/beverages4040097
Artigo de periodico
Comparison between red wine and isolated trans-resveratrol on the prevention and regression of atherosclerosis in LDLr (−/−) mice (2018)
Chassota, Livia N; Scolaro, Bianca; Roschel, Gabriela G; Cogliati, Bruno ; Cavalcanti, Marcela F; Abdalla, Dulcinéia Saes Parra ; Castro, Inar Alves de
Source: Journal of Nutritional Biochemistry. Unidades: FMVZ, FCF
Subjects: ARTERIOSCLEROSE, CAMUNDONGOS, ESTRESSE OXIDATIVO, VINHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHASSOTA, Livia N et al. Comparison between red wine and isolated trans-resveratrol on the prevention and regression of atherosclerosis in LDLr (−/−) mice. Journal of Nutritional Biochemistry, v. 61, p. 48-55, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jnutbio.2018.07.014. Acesso em: 10 nov. 2024.
APA
Chassota, L. N., Scolaro, B., Roschel, G. G., Cogliati, B., Cavalcanti, M. F., Abdalla, D. S. P., & Castro, I. A. de. (2018). Comparison between red wine and isolated trans-resveratrol on the prevention and regression of atherosclerosis in LDLr (−/−) mice. Journal of Nutritional Biochemistry, 61, 48-55. doi:10.1016/j.jnutbio.2018.07.014
NLM
Chassota LN, Scolaro B, Roschel GG, Cogliati B, Cavalcanti MF, Abdalla DSP, Castro IA de. Comparison between red wine and isolated trans-resveratrol on the prevention and regression of atherosclerosis in LDLr (−/−) mice [Internet]. Journal of Nutritional Biochemistry. 2018 ; 61 48-55.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.jnutbio.2018.07.014
Vancouver
Chassota LN, Scolaro B, Roschel GG, Cogliati B, Cavalcanti MF, Abdalla DSP, Castro IA de. Comparison between red wine and isolated trans-resveratrol on the prevention and regression of atherosclerosis in LDLr (−/−) mice [Internet]. Journal of Nutritional Biochemistry. 2018 ; 61 48-55.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.jnutbio.2018.07.014
Artigo de periodico
Using support vector machines and neural networks to classify merlot wines from south america (2018)
Costa, Nattane Luíza; Llobodanin, Laura Andrea García; Castro, Inar Alves de ; Barbosa, Rommel
Source: Information Processing in Agriculture. Unidade: FCF
Assunto: VINHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Nattane Luíza et al. Using support vector machines and neural networks to classify merlot wines from south america. Information Processing in Agriculture, v. 6, p. 265-278, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.inpa.2018.10.003. Acesso em: 10 nov. 2024.
APA
Costa, N. L., Llobodanin, L. A. G., Castro, I. A. de, & Barbosa, R. (2018). Using support vector machines and neural networks to classify merlot wines from south america. Information Processing in Agriculture, 6, 265-278. doi:10.1016/j.inpa.2018.10.003
NLM
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Using support vector machines and neural networks to classify merlot wines from south america [Internet]. Information Processing in Agriculture. 2018 ; 6 265-278.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.inpa.2018.10.003
Vancouver
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Using support vector machines and neural networks to classify merlot wines from south america [Internet]. Information Processing in Agriculture. 2018 ; 6 265-278.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.inpa.2018.10.003

USP Schools

ReP

Filtros

Authors

Subjects

Source title