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Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration
Due to its importance in clinical science, the estimation of physiological states (e.g., the severity of pathological tremor) has aroused growing interest in machine learning community. While the physiological state is a continuous variable, its continuity is lost when the physiological state is qua...
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| Опубликовано в: : | Sci Rep |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7738684/ https://ncbi.nlm.nih.gov/pubmed/33319835 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-79007-5 |
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