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Artigo de periodico
Big data analytics and precision animal agriculture symposium: machine learning and data mining advance predictive big data analysis in precision animal agriculture (2018)
Morota, Gota; Ventura, Ricardo Vieira ; Silva, Fabyano Fonseca; Koyama, Masanori; Fernando, Samodha C
Source: Journal of Animal Science. Unidade: FMVZ
Subjects: BIG DATA, AGROPECUÁRIA, ANÁLISE DE DADOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOROTA, Gota et al. Big data analytics and precision animal agriculture symposium: machine learning and data mining advance predictive big data analysis in precision animal agriculture. Journal of Animal Science, v. 96, n. 4, p. 1540-1550, 2018Tradução . . Disponível em: https://doi.org/10.1590/0001-3765201820170838. Acesso em: 27 nov. 2025.
APA
Morota, G., Ventura, R. V., Silva, F. F., Koyama, M., & Fernando, S. C. (2018). Big data analytics and precision animal agriculture symposium: machine learning and data mining advance predictive big data analysis in precision animal agriculture. Journal of Animal Science, 96( 4), 1540-1550. doi:10.1590/0001-3765201820170838
NLM
Morota G, Ventura RV, Silva FF, Koyama M, Fernando SC. Big data analytics and precision animal agriculture symposium: machine learning and data mining advance predictive big data analysis in precision animal agriculture [Internet]. Journal of Animal Science. 2018 ; 96( 4): 1540-1550.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1590/0001-3765201820170838
Vancouver
Morota G, Ventura RV, Silva FF, Koyama M, Fernando SC. Big data analytics and precision animal agriculture symposium: machine learning and data mining advance predictive big data analysis in precision animal agriculture [Internet]. Journal of Animal Science. 2018 ; 96( 4): 1540-1550.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1590/0001-3765201820170838
Artigo de periodico
High-level pattern-based classification via tourist walks in networks (2015)
Silva, Thiago Christiano; Liang, Zhao
Source: Information Sciences. Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Thiago Christiano e LIANG, Zhao. High-level pattern-based classification via tourist walks in networks. Information Sciences, v. 294, p. 109-126, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2014.09.048. Acesso em: 27 nov. 2025.
APA
Silva, T. C., & Liang, Z. (2015). High-level pattern-based classification via tourist walks in networks. Information Sciences, 294, 109-126. doi:10.1016/j.ins.2014.09.048
NLM
Silva TC, Liang Z. High-level pattern-based classification via tourist walks in networks [Internet]. Information Sciences. 2015 ; 294 109-126.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2014.09.048
Vancouver
Silva TC, Liang Z. High-level pattern-based classification via tourist walks in networks [Internet]. Information Sciences. 2015 ; 294 109-126.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2014.09.048
Artigo de periodico
Prediction of antimicrobial activity of synthetic peptides by a decision tree model (2013)
Lira, Felipe; Perez, Pedro S.; Baranauskas, José Augusto; Nozawa, Sérgio Ricardo
Source: Applied and Environmental Microbiology. Unidade: FFCLRP
Subjects: AGENTES ANTIMICROBIANOS, PEPTÍDEOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIRA, Felipe et al. Prediction of antimicrobial activity of synthetic peptides by a decision tree model. Applied and Environmental Microbiology, v. 79, n. 10, p. 3156-3159, 2013Tradução . . Disponível em: https://doi.org/10.1128/AEM.02804-12. Acesso em: 27 nov. 2025.
APA
Lira, F., Perez, P. S., Baranauskas, J. A., & Nozawa, S. R. (2013). Prediction of antimicrobial activity of synthetic peptides by a decision tree model. Applied and Environmental Microbiology, 79( 10), 3156-3159. doi:10.1128/AEM.02804-12
NLM
Lira F, Perez PS, Baranauskas JA, Nozawa SR. Prediction of antimicrobial activity of synthetic peptides by a decision tree model [Internet]. Applied and Environmental Microbiology. 2013 ; 79( 10): 3156-3159.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1128/AEM.02804-12
Vancouver
Lira F, Perez PS, Baranauskas JA, Nozawa SR. Prediction of antimicrobial activity of synthetic peptides by a decision tree model [Internet]. Applied and Environmental Microbiology. 2013 ; 79( 10): 3156-3159.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1128/AEM.02804-12

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