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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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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7912396/ https://ncbi.nlm.nih.gov/pubmed/33503822 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23020143 |
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