All Stories

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