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End-to-End Deep Learning for Stress Recognition Using Remote Photoplethysmography.

Kai ZhouMarkus SchinleSascha WeimarMarius GerdesSimon StockWilhelm Stork
Published in: BIBM (2022)
Keyphrases
  • end to end
  • deep learning
  • unsupervised learning
  • unsupervised feature learning
  • machine learning
  • admission control
  • deep architectures
  • mental models
  • congestion control
  • computer vision
  • weakly supervised
  • data sets