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Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning

Barabanova I.V., Vychuzhanin P., Nikitin N.O.
Тип документаJournal Article
Дата публикации2021-01-01
Название журналаProcedia Computer Science
ИздательElsevier
Квартиль по SCImagoQ2
Квартиль по Web of Science
Импакт-фактор 2021
ISSN18770509
General Medicine
Пристатейные ссылки: 28
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ГОСТ |
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1. Barabanova I. V., Vychuzhanin P., Nikitin N. O. Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning // Procedia Computer Science. 2021. Т. 193. С. 484–493.
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TY - JOUR

DO - 10.1016/j.procs.2021.10.050

UR - http://dx.doi.org/10.1016/j.procs.2021.10.050

TI - Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning

T2 - Procedia Computer Science

AU - Barabanova, Irina V.

AU - Vychuzhanin, Pavel

AU - Nikitin, Nikolay O.

PY - 2021

PB - Elsevier BV

SP - 484-493

VL - 193

SN - 1877-0509

ER -

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@article{Barabanova_2021,

doi = {10.1016/j.procs.2021.10.050},

url = {https://doi.org/10.1016%2Fj.procs.2021.10.050},

year = 2021,

publisher = {Elsevier {BV}},

volume = {193},

pages = {484--493},

author = {Irina V. Barabanova and Pavel Vychuzhanin and Nikolay O. Nikitin},

title = {Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning},

journal = {Procedia Computer Science}

}

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Barabanova, Irina V., et al. “Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning.” Procedia Computer Science, vol. 193, 2021, pp. 484–93. Crossref, https://doi.org/10.1016/j.procs.2021.10.050.