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pro vyhledávání: '"Sarti, Danilo"'
We propose a Bayesian tensor regression model to accommodate the effect of multiple factors on phenotype prediction. We adopt a set of prior distributions that resolve identifiability issues that may arise between the parameters in the model. Simulat
Externí odkaz:
http://arxiv.org/abs/2301.03655
In plant breeding the presence of a genotype by environment (GxE) interaction has a strong impact on cultivation decision making and the introduction of new crop cultivars. The combination of linear and bilinear terms has been shown to be very useful
Externí odkaz:
http://arxiv.org/abs/2207.00011
Autor:
Daly, Patrick, Nejad, Amin Shoari, Domijan, Katarina, McCaughey, Jamie W., Brassard, Caroline, Kathiravelu, Laavanya, Marques, Mateus, Sarti, Danilo, Parnell, Andrew C., Horton, Benjamin
Publikováno v:
In Progress in Disaster Science December 2024 24
Akademický článek
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Akademický článek
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Autor:
Batista Do Prado, Estevao, Sarti, Danilo, Inglis, Alan, Lemos dos Santos, Alessandra, Hurley, Catherine, de Andrade Moral, Rafael, Parnell, Andrew C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______201::835423da379a32cd211ac9d1b9e61371
https://eprints.lancs.ac.uk/id/eprint/185619/
https://eprints.lancs.ac.uk/id/eprint/185619/
Autor:
Camargo, Lenio Cesar Moraes de, Garcia, Danilo de Brito, Saab, Otávio Jorge Grígoli Abi, Pasini, Amarildo, Sarti, Danilo Augusto, Dias, Carlos Tadeu dos Santos
Publikováno v:
REVISTA CAATINGA; Vol. 33 No. 01 (2020); 72-80
Revista Caatinga; v. 33 n. 01 (2020); 72-80
Revista Caatinga
Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
Revista Caatinga; v. 33 n. 01 (2020); 72-80
Revista Caatinga
Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
During the chemical control of pests, diseases and weeds, great importance is given to the phytosanitary product and little attention to the application technology. The control of soybean pests did not escape the general rule and, therefore, some pes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::cbb481635b5014fcb5f22431d8428536
https://periodicos.ufersa.edu.br/caatinga/article/view/8495
https://periodicos.ufersa.edu.br/caatinga/article/view/8495
Akademický článek
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Autor:
Gonçalves, Vinicius Adorno1 viniciusadorno@hotmail.com, Geiger, Martin Andreas1, Sarti, Danilo Augusto2, Guillaumon, Ana Terezinha1
Publikováno v:
Jornal Vascular Brasileiro. 2023, Vol. 22, p1-8. 8p.
Autor:
Sarti, Danilo Augusto
Publikováno v:
JISTEM-Journal of Information Systems and Technology Management, Volume: 12, Issue: 1, Pages: 65-80, Published: APR 2015
Journal of Information Systems and Technology Management; v. 12 n. 1 (2015); 65-80
Journal of Information Systems and Technology Management; Vol. 12 No. 1 (2015); 65-80
Journal of Information Systems and Technology Management; Vol. 12 Núm. 1 (2015); 65-80
Journal of Information Systems and Technology Management
Universidade de São Paulo (USP)
instacron:USP
Journal of Information Systems and Technology Management; v. 12 n. 1 (2015); 65-80
Journal of Information Systems and Technology Management; Vol. 12 No. 1 (2015); 65-80
Journal of Information Systems and Technology Management; Vol. 12 Núm. 1 (2015); 65-80
Journal of Information Systems and Technology Management
Universidade de São Paulo (USP)
instacron:USP
This paper aims to access the best alternative, from a set of five, of software for statistical analysis in a seed company in Brazil. The methodology considers the costs related to the process, R programming and its relationship with the final decisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7b0f09e60bb7a4474b473bd62177411c
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752015000100065&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752015000100065&lng=en&tlng=en