All Stories

  1. FairFLRep: Fairness aware fault localization and repair of Deep Neural Networks
  2. Alternating between Surrogate Model Construction and Search for Configurations of an Autonomous Delivery System (Hot off the Press at GECCO 2025)
  3. CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction
  4. Practical Design by Contract Framework for Quantum Applications
  5. SpectAcle: Fault Localisation of AI-Enabled CPS by Exploiting Sequences of DNN Controller Inferences
  6. Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications
  7. Distributed Repair of Deep Neural Networks (Hot off the Press at GECCO 2024)
  8. Federated Repair of Deep Neural Networks
  9. More is Not Always Better: Exploring Early Repair of DNNs
  10. Model-Based Framework for Continuous Adaptation and Evolution of Quantum-Classical Hybrid Systems
  11. Adaptive Search-based Repair of Deep Neural Networks
  12. Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery
  13. Explaining the Behaviour of Game Agents Using Differential Comparison
  14. Parameter Coverage for Testing of Autonomous Driving Systems Under Uncertainty
  15. Targeting requirements violations of autonomous driving systems by dynamic evolutionary search (HOP at GECCO'22)
  16. Practical insights of repairing model problems on image classification
  17. Targeting Requirements Violations of Autonomous Driving Systems by Dynamic Evolutionary Search
  18. Shake Those System Parameters! On the Need for Parameter Coverage for Decision Systems
  19. 2nd International Workshop on Data Quality Assessment for Machine Learning
  20. Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021)
  21. Testing machine learning code using polyhedral region
  22. Leveraging test logs for building a self-adaptive path planner
  23. Simultaneously searching and solving multiple avoidable collisions for testing autonomous driving systems
  24. Contemporary requirements challenges and issues
  25. Towards a Framework for the Analysis of Multi-Product Lines in the Automotive Domain
  26. Feedback-controlled random test generation
  27. Towards robust service compositions in the context of functionally diverse services