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A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN’s and Classification Models

Deeva I., Mossyayev A., Kalyuzhnaya A.V.
Тип документаBook Chapter
Дата публикации2022-01-01
Название журналаLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
ИздательSpringer Nature
Квартиль по SCImagoQ4
Квартиль по Web of Science
Импакт-фактор 2021
ISSN18678211
Пристатейные ссылки: 30
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ГОСТ |
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1. Deeva I., Mossyayev A., Kalyuzhnaya A. V. A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN’s and Classification Models // Mobile and Ubiquitous Systems: Computing, Networking and Services. 2022. С. 847–859.
RIS |
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TY - GENERIC

DO - 10.1007/978-3-030-94822-1_55

UR - http://dx.doi.org/10.1007/978-3-030-94822-1_55

TI - A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN’s and Classification Models

T2 - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

AU - Deeva, Irina

AU - Mossyayev, Andrey

AU - Kalyuzhnaya, Anna V.

PY - 2022

PB - Springer International Publishing

SP - 847-859

SN - 1867-8211

SN - 1867-822X

SN - 9783030948214

SN - 9783030948221

ER -

BibTex |
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@incollection{Deeva_2022,

doi = {10.1007/978-3-030-94822-1_55},

url = {https://doi.org/10.1007%2F978-3-030-94822-1_55},

year = 2022,

publisher = {Springer International Publishing},

pages = {847--859},

author = {Irina Deeva and Andrey Mossyayev and Anna V. Kalyuzhnaya},

title = {A Multimodal Approach to~Synthetic Personal Data Generation with~Mixed Modelling: Bayesian Networks, {GAN}'s and~Classification Models},

booktitle = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}

}

MLA
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Deeva, Irina, et al. “A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN’s and Classification Models.” Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022, pp. 847–59. Crossref, https://doi.org/10.1007/978-3-030-94822-1_55.