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DISCOVERING CAUSALITIES FROM CARDIOTOCOGRAPHY SIGNALS USING IMPROVED CONVERGENT CROSS MAPPING WITH GAUSSIAN PROCESSES
Convergent cross mapping (CCM) is designed for causal discovery in coupled time series, where Granger causality may not be applicable because of a separability assumption. However, CCM is not robust to observation noise which limits its applicability on signals that are known to be noisy. Moreover,...
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| Publicado en: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7861045/ https://ncbi.nlm.nih.gov/pubmed/33551683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP40776.2020.9053462 |
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