Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data

Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. Variational Autoencoder (VAE) is one of the most popular deep-learning models for generating synthetic data. However, VAE is often considered a “black box” d...

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Vydané v:	Algorithms Ročník 16; číslo 2; s. 121
Hlavní autori:	Wu, Jinhong, Plataniotis, Konstantinos, Liu, Lucy, Amjadian, Ehsan, Lawryshyn, Yuri
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.02.2023
Predmet:	Analysis Banking industry Datasets Deep learning feature importance feature interaction financial synthetic tabular data interpretability Privacy Privacy, Right of Sensitivity analysis sensitivity-based method Software Statistical methods Tables (data) variational autoencoder Visualization Canada
ISSN:	1999-4893, 1999-4893
On-line prístup:	Získať plný text
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