Heidelberg University Sites logo

Explainable AI for Online and Transferable Learning

Objectives:

  • To develop XAI techniques for online and transfer learning applied to experimental data from physics and signal and image understanding
  • To handle efficiently real-time massive sensor data in online and transfer learning
  • To develop XAI techniques for high robustness and accuracy in multi-sensor environments

Expected Results:

  • Efficient XAI techniques suited for online and transfer learning applied to experimental data from physics and signal and image understanding
  • Efficient real-time XAI techniques for massive sensor data
  • Robust and accurate XAI for multi-sensor real-time data