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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Veröffentlicht in:	Expert systems with applications Jg. 221; S. 119787
Hauptverfasser:	Klopries, Hendrik, Schwung, Andreas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2023
Schlagworte:	Autoencoder Decomposition Interpretability Neural networks Time series analysis Decomposition Time series analysis Neural networks Autoencoder Interpretability
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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