Exploring Deep Physiological Models for Nociceptive Pain Recognition
Abstract
Standard feature engineering involves manually designing measurable descriptors based on some expert knowledge in the domain of application, followed by the selection of the best performing set of designed features for the subsequent optimisation of an inference model. Several studies have shown that this whole manual process can be efficiently replaced by deep learning approaches which are characterised by the integration of feature...
Paper Details
Title
Exploring Deep Physiological Models for Nociceptive Pain Recognition
Published Date
Oct 17, 2019
Journal
Volume
19
Issue
20
Pages
4503 - 4503
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History