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A Methodology for Validating Diversity in Synthetic Time Series Generation()
In order for researchers to deliver robust evaluations of time series models, it often requires high volumes of data to ensure the appropriate level of rigor in testing. However, for many researchers, the lack of time series presents a barrier to a deeper evaluation. While researchers have developed...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374706/ https://www.ncbi.nlm.nih.gov/pubmed/34434865 http://dx.doi.org/10.1016/j.mex.2021.101459 |