Conference Topics

Topics of interest include theoretical and applied aspects of the:


  • AI-based data augmentation techniques
  • Surrogating methods for data augmentation
  • Statistical learning in precision medicine
  • Decision fusion for healthcare applications
  • Semi-supervised learning applied to small data samples
  • Graph signal processing in big data contexts
  • Deep learning models in Healthcare and Biomedicine
  • Ensemble learning for case of Small and Big data processing
  • Bioinformatics for Healthcare applications
  • Complex Health monitoring systems
  • Analysis and prediction for Covid'19 data