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Performance Analysis of Scientific and Technical Solutions Evaluation Based on Machine Learning. / Khalyasmaa, Alexandra I.; Zinovieva, Elena L.; Eroshenko, Stanislav A.
Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 475-478 9117774 (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).

Результаты исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииРецензирование

Harvard

Khalyasmaa, AI, Zinovieva, EL & Eroshenko, SA 2020, Performance Analysis of Scientific and Technical Solutions Evaluation Based on Machine Learning. в Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020., 9117774, Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020, Institute of Electrical and Electronics Engineers Inc., стр. 475-478, Международная конференция 2020 Ural Symposium on Biomedical Engineering, Radioelectonics and Information Technology (USBEREIT), Yekaterinburg, Российская Федерация, 14/05/2020. https://doi.org/10.1109/USBEREIT48449.2020.9117774

APA

Khalyasmaa, A. I., Zinovieva, E. L., & Eroshenko, S. A. (2020). Performance Analysis of Scientific and Technical Solutions Evaluation Based on Machine Learning. в Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020 (стр. 475-478). [9117774] (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT48449.2020.9117774

Vancouver

Khalyasmaa AI, Zinovieva EL, Eroshenko SA. Performance Analysis of Scientific and Technical Solutions Evaluation Based on Machine Learning. в Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. стр. 475-478. 9117774. (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020). doi: 10.1109/USBEREIT48449.2020.9117774

Author

Khalyasmaa, Alexandra I. ; Zinovieva, Elena L. ; Eroshenko, Stanislav A. / Performance Analysis of Scientific and Technical Solutions Evaluation Based on Machine Learning. Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. стр. 475-478 (Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020).

BibTeX

@inproceedings{3c87edd8cd884c3a8e0b590f4a8f8776,
title = "Performance Analysis of Scientific and Technical Solutions Evaluation Based on Machine Learning",
keywords = "feature engineering, hybrid networks, Random Forest, technical solution, XGBoost",
author = "Khalyasmaa, {Alexandra I.} and Zinovieva, {Elena L.} and Eroshenko, {Stanislav A.}",
year = "2020",
month = may,
doi = "10.1109/USBEREIT48449.2020.9117774",
language = "English",
series = "Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "475--478",
booktitle = "Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020",
address = "United States",
note = "2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020 ; Conference date: 14-05-2020 Through 15-05-2020",

}

RIS

TY - GEN

T1 - Performance Analysis of Scientific and Technical Solutions Evaluation Based on Machine Learning

AU - Khalyasmaa, Alexandra I.

AU - Zinovieva, Elena L.

AU - Eroshenko, Stanislav A.

PY - 2020/5

Y1 - 2020/5

KW - feature engineering

KW - hybrid networks

KW - Random Forest

KW - technical solution

KW - XGBoost

UR - http://www.scopus.com/inward/record.url?scp=85089656523&partnerID=8YFLogxK

U2 - 10.1109/USBEREIT48449.2020.9117774

DO - 10.1109/USBEREIT48449.2020.9117774

M3 - Conference contribution

AN - SCOPUS:85089656523

T3 - Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020

SP - 475

EP - 478

BT - Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020

Y2 - 14 May 2020 through 15 May 2020

ER -

ID: 13680598