Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions

The adaptation of deep learning models within safety-critical systems cannot rely only on good prediction performance but needs to provide interpretable and robust explanations for their decisions. When modeling complex sequences, attention mechanisms are regarded as the established approach to supp...

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Detalles Bibliográficos
Autores principales: Barić, Domjan, Fumić, Petar, Horvatić, Davor, Lipic, Tomislav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912396/
https://www.ncbi.nlm.nih.gov/pubmed/33503822
http://dx.doi.org/10.3390/e23020143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912396/
https://www.ncbi.nlm.nih.gov/pubmed/33503822
http://dx.doi.org/10.3390/e23020143

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