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Machine learning Models Compositions Builder

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dc.contributor.authorDomashova, J.
dc.contributor.authorNorkina, A.
dc.contributor.authorKosvintsev, K.
dc.contributor.authorBelozerova, A.
dc.contributor.authorAlexey Guzev.
dc.contributor.authorДомашова, Дженни Владимировна
dc.contributor.authorНоркина, Анна Николаевна
dc.date.accessioned2024-12-25T17:01:49Z
dc.date.available2024-12-25T17:01:49Z
dc.date.issued2022
dc.format.extentС. 157-164
dc.identifier.citationMachine learning Models Compositions Builder / Domashova, J. [et al.] // Procedia Computer Science. - 2022. - 213. - № C. - P. 157-164. - 10.1016/j.procs.2022.11.051
dc.identifier.doi10.1016/j.procs.2022.11.051
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2022.11.051
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85146122053&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28236
dc.relation.ispartofProcedia Computer Science
dc.titleMachine learning Models Compositions Builder
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.issueC
oaire.citation.volume213
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