A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN’s and Classification Models-Reference-Cited by-同舟云学术

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

Published:2022 Issue: Volume: Page:847-859
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Deeva Irina,Mossyayev Andrey,Kalyuzhnaya Anna V.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-94822-1_55

Reference30 articles.

1. Flickr8k dataset (2020). https://www.kaggle.com/adityajn105/flickr8k

2. Library for embeddings (2020). http://dlib.net/

3. Dataset of faces (2021). https://susanqq.github.io/UTKFace/

4. Bubnova, A.V., Deeva, I., Kalyuzhnaya, A.V.: MIxBN: library for learning Bayesian networks from mixed data. arXiv preprint arXiv:2106.13194 (2021)

5. Chickering, D.M.: Optimal structure identification with greedy search. J. Mach. Learn. Res. 3(Nov), 507–554 (2002)

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