Call for Papers – IARF Conference

  • explainable AI
  • engineering applications
  • interpretable models
  • supervised learning
  • unsupervised learning
  • predictive modeling
  • feature importance
  • model transparency
  • anomaly detection
  • deep learning
  • machine learning
  • predictive maintenance
  • industrial IoT
  • decision support
  • model evaluation
  • AI trustworthiness
  • human-in-the-loop AI
  • explainable predictive models
  • feature extraction
  • interpretability frameworks