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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
Fonte: Artificial Intelligence in Agriculture. Unidade: FCF
Assuntos: 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: 09 jul. 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 jul. 09 ] 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 jul. 09 ] Available from: https://doi.org/10.1016/j.aiia.2021.07.001
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
Fonte: Expert Systems. Unidade: FCF
Assuntos: 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: 09 jul. 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 jul. 09 ] 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 jul. 09 ] 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
Fonte: European Food Research and Technology. Unidade: FCF
Assuntos: 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: 09 jul. 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 jul. 09 ] 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 jul. 09 ] 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
Fonte: 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: 09 jul. 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 jul. 09 ] 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 jul. 09 ] Available from: https://doi.org/10.3390/beverages4040097
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
Fonte: 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: 09 jul. 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 jul. 09 ] 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 jul. 09 ] Available from: https://doi.org/10.1016/j.inpa.2018.10.003

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