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Ferrà et al., 2023 - Google Patents

Importance attribution in neural networks by means of persistence landscapes of time series

Ferrà et al., 2023

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Document ID
15278695640566418997
Author
Ferrà A
Casacuberta C
Pujol O
Publication year
Publication venue
Neural Computing and Applications

External Links

Snippet

This article describes a method to analyze time series with a neural network using a matrix of area-normalized persistence landscapes obtained with topological data analysis. The network's architecture includes a gating layer that is able to identify the most relevant …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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