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1 - 10 out of 101Page size: 10
  1. 2020

  2. DAG Scheduling and Analysis on Multiprocessor Systems: Exploitation of Parallelism and Dependency

    Zhao, S., Dai, X., Bate, I., Burns, A. & Chang, W., 2020, IEEE Real-Time Systems Symposium. IEEE, 13 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  3. Importance-Driven Deep Learning System Testing

    Gerasimou, S., Eniser, H. F. & Sen, A., 2020, 42nd International Conference on Software Engineering.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4. Intelligent Run-Time Partitioning of Low-Code System Models

    Jahanbin, S., Kolovos, D. & Gerasimou, S., 2020, Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. New York, NY, USA: Association for Computing Machinery (ACM), (MODELS '20).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  5. Interval Change-Point Detection for Runtime Probabilistic Model Checking

    Zhao, X., Calinescu, R., Gerasimou, S., Robu, V. & Flynn, D., 2020, 35th IEEE/ACM International Conference on Automated Software Engineering.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  6. Preliminary Safety Analysis of a Wearable Clinic for the Early Detection of Psychotic Relapse

    Habli, I., Stockton-Powdrell, C., Machin, M., Fraccaro, P., Lewis, S. & Peek, N., 2020, Digital Personalized Health and Medicine. Pape-Haugaard, L. B., Lovis, C., Cort Madsen, I., Weber, P., Hostrup Nielsen, P. & Scott, P. (eds.). p. 1367-1368 2 p. (Studies in Health Technology and Informatics; vol. 270).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  7. Safety of Artificial Intelligence: A Collaborative Model

    McDermid, J. A. & Jia, Y., 2020, AISafety@IJCAI. CEUR Workshop Proceedings

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  8. Secure and Efficient Delegation of Elliptic-Curve Pairing

    Kahrobaei, D., Di Crescenzo, G., Khodjaeva, M. & Shpilrain, V., 2020, ACNS 2020, Applied Cryptography and Network Security. Lecture Notes in Computer Science 682, Springer-Verlag, 20 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  9. InverseRenderNet: Learning single image inverse rendering

    Yu, Y. & Smith, W. A. P., 9 Jan 2020, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 3150-3159 10 p. (2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  10. How Players Learn Team-versus-Team Esports: First Results from A Grounded Theory Study

    Hesketh, J., Deterding, C. S. & Gow, J., 31 Jan 2020, DiGRA'20 Abstract - Proceedings of the 2020 DiGRA International Conference. Tampere, (DiGRA conference proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  11. The Convergence of Gaming and Gambling Research: What Can We Learn from Each Other?

    Deterding, C. S., Karlsen, F., Macey, J., Mortensen, T. E., Wardle, H. & Zendle, D., 31 Jan 2020, (Accepted/In press) DiGRA'20 - Abstract: Proceedings of the 2020 DiGRA International Conference. Tampere, (DiGRA conference proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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