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TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data
With the rise in the employment of deep learning methods in safety-critical scenarios, interpretability is more essential than ever before. Although many different directions regarding interpretability have been explored for visual modalities, time series data has been neglected, with only a handful...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587116/ https://www.ncbi.nlm.nih.gov/pubmed/34770678 http://dx.doi.org/10.3390/s21217373 |