All Stories

  1. Should I Overtake? Cue Learning using Evolution for Accurate Recognition of Safe Autonomous Vehicle Maneuvers

    Article • July 2026, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  2. FairFLRep: Fairness-Aware Fault Localization and Repair of Deep Neural Networks

    Article • ACM Transactions on Software Engineering and Methodology, June 2026, ACM (Association for Computing Machinery)

    Professor Foutse Khomh, Fuyuki Ishikawa, Moses Openja

  3. Coordinating Speech with Touch Input and Visual Cues in Human–Robot Interaction: A Multimodal System Evaluated through Metamorphic Testing

    Article • March 2026, ACM (Association for Computing Machinery)

    Massimo Donini, Fuyuki Ishikawa

  4. Alternating between Surrogate Model Construction and Search for Configurations of an Autonomous Delivery System (Hot off the Press at GECCO 2025)

    Article • July 2025, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  5. CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction

    Article • July 2025, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  6. Practical Design by Contract Framework for Quantum Applications

    Article • June 2025, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  7. SpectAcle: Fault Localisation of AI-Enabled CPS by Exploiting Sequences of DNN Controller Inferences

    Article • ACM Transactions on Software Engineering and Methodology, November 2024, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  8. Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications

    Article • July 2024, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  9. Distributed Repair of Deep Neural Networks (Hot off the Press at GECCO 2024)

    Article • July 2024, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  10. Federated Repair of Deep Neural Networks

    Article • April 2024, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  11. More is Not Always Better: Exploring Early Repair of DNNs

    Article • April 2024, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  12. Model-Based Framework for Continuous Adaptation and Evolution of Quantum-Classical Hybrid Systems

    Article • March 2024, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa, Dr. Shinobu Saito

  13. Adaptive Search-based Repair of Deep Neural Networks

    Article • July 2023, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  14. Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery

    Article • July 2023, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  15. Explaining the Behaviour of Game Agents Using Differential Comparison

    Article • October 2022, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  16. Parameter Coverage for Testing of Autonomous Driving Systems Under Uncertainty

    Article • ACM Transactions on Software Engineering and Methodology, July 2022, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  17. Targeting requirements violations of autonomous driving systems by dynamic evolutionary search (HOP at GECCO'22)

    Article • July 2022, ACM (Association for Computing Machinery)

    Zhi Jin, Fuyuki Ishikawa

  18. Practical insights of repairing model problems on image classification

    Article • May 2022, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  19. Targeting Requirements Violations of Autonomous Driving Systems by Dynamic Evolutionary Search

    Article • November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Zhi Jin, Fuyuki Ishikawa

  20. Shake Those System Parameters! On the Need for Parameter Coverage for Decision Systems

    Article • November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Fuyuki Ishikawa

  21. 2nd International Workshop on Data Quality Assessment for Machine Learning

    Article • August 2021, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  22. Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021)

    Article • July 2021, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  23. Testing machine learning code using polyhedral region

    Article • November 2020, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  24. Leveraging test logs for building a self-adaptive path planner

    Article • June 2020, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  25. Simultaneously searching and solving multiple avoidable collisions for testing autonomous driving systems

    Article • June 2020, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  26. Contemporary requirements challenges and issues

    Article • April 2019, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  27. Towards a Framework for the Analysis of Multi-Product Lines in the Automotive Domain

    Article • February 2019, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  28. Feedback-controlled random test generation

    Article • July 2015, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa

  29. Towards robust service compositions in the context of functionally diverse services

    Article • April 2012, ACM (Association for Computing Machinery)

    Fuyuki Ishikawa