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On the Effectiveness of Deep Representation Learning: the Atrial Fibrillation Case
The automatic and unsupervised analysis of biomedical time series is of primary importance for diagnostic and preventive medicine, enabling fast and reliable data processing to reveal clinical insights without the need for human intervention. Representation learning (RL) methods perform an automatic...
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| Publicat a: | Computer (Long Beach Calif) |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6863169/ https://ncbi.nlm.nih.gov/pubmed/31745372 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/MC.2019.2932716 |
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