All Stories

  1. Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making
  2. A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning
  3. A Data-Driven Approach for Enhancement of Propeller Performance Prediction
  4. Towards Real-Time In-Flight Ice Detection Systems via Computational Aeroacoustics and Machine Learning
  5. Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations
  6. Enhancing Model Predictability for a Scramjet Using Probabilistic Learning on Manifolds
  7. Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations