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Evaluation of interpretability methods for multivariate time series forecasting
Being able to interpret a model’s predictions is a crucial task in many machine learning applications. Specifically, local interpretability is important in determining why a model makes particular predictions. Despite the recent focus on interpretable Artificial Intelligence (AI), there have been fe...
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| Publicat a: | Appl Intell (Dordr) |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer US
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8315500/ https://ncbi.nlm.nih.gov/pubmed/34764613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10489-021-02662-2 |
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