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An Improved Self-Training Method for Positive Unlabeled Time Series Classification Using DTW Barycenter Averaging
Traditional supervised time series classification (TSC) tasks assume that all training data are labeled. However, in practice, manually labelling all unlabeled data could be very time-consuming and often requires the participation of skilled domain experts. In this paper, we concern with the positiv...
| 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/PMC8587877/ https://www.ncbi.nlm.nih.gov/pubmed/34770721 http://dx.doi.org/10.3390/s21217414 |