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Semi-Supervised-Stress-Detection

CHIL 2022 Anonymized

Anonymized repo for Semi-Supervised Learning Stress Detection

Description of files and folders:

  • Data/ - Raw and preprocessed data is stored in here
  • TestingResults/ - Experiments are run in parallel and results are stored in here
  • Co-Training.py - Co-training with RF to be run in parallel. ipynb file is for jupyter notebook and py file is to run from command line
  • Preprocess.py - Sync and window WESAD data
  • ExtractFeatures.py - Extact features using the RASLPhysio library
  • View_Results.ipynb - Get files from TestingResults for visualization

The main logic is in Co-Training.py

chil2022's People

Contributors

nibraaska avatar

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