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Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression

Deeva I., Nikitin N.O., Kaluyzhnaya A.V.
Тип документаJournal Article
Дата публикации2019-01-01
Название журналаProcedia Computer Science
ИздательElsevier
Квартиль по SCImagoQ2
Квартиль по Web of Science
Импакт-фактор 2021
ISSN18770509
General Medicine
Пристатейные ссылки: 41
Цитируется в публикациях: 2
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ГОСТ |
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1. Deeva I., Nikitin N. O., Kaluyzhnaya A. V. Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression // Procedia Computer Science. 2019. Т. 156. С. 357–366.
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TY - JOUR

DO - 10.1016/j.procs.2019.08.212

UR - http://dx.doi.org/10.1016/j.procs.2019.08.212

TI - Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression

T2 - Procedia Computer Science

AU - Deeva, Irina

AU - Nikitin, Nikolay O.

AU - Kaluyzhnaya, Anna V.

PY - 2019

PB - Elsevier BV

SP - 357-366

VL - 156

SN - 1877-0509

ER -

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@article{Deeva_2019,

doi = {10.1016/j.procs.2019.08.212},

url = {https://doi.org/10.1016%2Fj.procs.2019.08.212},

year = 2019,

publisher = {Elsevier {BV}},

volume = {156},

pages = {357--366},

author = {Irina Deeva and Nikolay O. Nikitin and Anna V. Kaluyzhnaya},

title = {Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression},

journal = {Procedia Computer Science}

}

MLA
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Deeva, Irina, et al. “Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression.” Procedia Computer Science, vol. 156, 2019, pp. 357–66. Crossref, https://doi.org/10.1016/j.procs.2019.08.212.