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Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals
In pattern recognition, the selection of appropriate features is paramount to both the performance and the robustness of the system. Over-reliance on machine learning-based feature selection methods can, therefore, be problematic; especially when conducted using small snapshots of data. The results...
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| Pubblicato in: | Front Neurosci |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6513974/ https://ncbi.nlm.nih.gov/pubmed/31133782 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00437 |
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