Extracting interpretable features for time series analysis: A Bag-of-Functions approach

In this work we consider the problem of analyzing and predicting time series data using a Bag-of-Functions approach by a self supervised autoencoder. Particularly, by means of deep neural networks, we define a latent space of multivariate time series data as the parameterization for a bag of multiva...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 221; p. 119787
Main Authors:	Klopries, Hendrik, Schwung, Andreas
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2023
Subjects:	Autoencoder Decomposition Interpretability Neural networks Time series analysis Decomposition Time series analysis Neural networks Autoencoder Interpretability
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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