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Local vs. SVM-based stacking approach for predicting proportions of complex blends in food products
dc.contributor.author | Carrasco, Beatriz | |
dc.contributor.author | Gil, Alberto | |
dc.contributor.author | Quevedo Pérez, José Ramón | |
dc.contributor.author | Montañés Roces, Elena | |
dc.contributor.author | Shen, Guanghui | |
dc.contributor.author | Baeten, Vincent | |
dc.contributor.author | Fernández Pierna, Juan Antonio | |
dc.date.accessioned | 2019-04-02T12:06:10Z | |
dc.date.available | 2019-04-02T12:06:10Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://hdl.handle.net/10651/50940 | |
dc.description | Chemometrics in Analytical Chemistry (17th, 2018, Halifax, Canadá) | |
dc.description.sponsorship | This research has been supported by Spanish Ministerio de Economía y Competitividad (grant TIN2015-65069-C2-R). | |
dc.format.extent | p. | spa |
dc.language.iso | spa | spa |
dc.relation.ispartof | XVII Chemometrics in Analytical Chemistry, Junio, 2018. Halifax, Nova Scotia, (Canadá) | spa |
dc.rights | © Beatriz Carrasco et al. | |
dc.title | Local vs. SVM-based stacking approach for predicting proportions of complex blends in food products | spa |
dc.type | conference output | spa |
dc.relation.projectID | MINECO/TIN2015-65069-C2-R | |
dc.rights.accessRights | open access |
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