Search research publications and outputs

  1. 2019
  2. Latent Distribution Preserving Deep Subspace Clustering

    Zhou, L., Xiao, B., wang, D., Liu, X., Zhou, J. & Hancock, E. R., May 2019.

    Research output: Contribution to conferencePaper

  3. A Pattern for Arguing the Assurance of Machine Learning in Medical Diagnosis Systems

    Picardi, C., Hawkins, R. D., Paterson, C. & Habli, I., 30 Apr 2019, (Accepted/In press) 38th International Conference on Computer Safety, Reliability and Security – SafeComp 2019.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Co-designing the computational model and the computing substrate

    Stepney, S., 26 Apr 2019, p. 5–14.

    Research output: Contribution to conferencePaper

  5. The role of structure and complexity on Reservoir Computing quality

    Dale, M., Dewhirst, J. D., O'Keefe, S. E. M., Sebald, A. A-M., Stepney, S. & Trefzer, M. A., 26 Apr 2019, p. 52–64.

    Research output: Contribution to conferencePaper

  6. The role of the representational entity in physical computing

    Stepney, S. & Kendon, V., 26 Apr 2019, p. 219–231.

    Research output: Contribution to conferencePaper

  7. Solving the Multi-Objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process

    Dziurzanski, P., Zhao, S., Swan, J., Soares Indrusiak, L., Scholze, S. & Krone, K., 24 Apr 2019, Applications of Evolutionary Computation - 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings. Kaufmann, P. & Castillo, P. A. (eds.). p. 33-48 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11454 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Single Image Super Resolution via Neighbor Reconstruction

    Zhang, Z., Xu, C., Zhang, Z., Chen, G., Cai, Y., Wang, Z., Li, H. & Hancock, E. R., 22 Apr 2019

    Article in Pattern Recognition Letters

  9. Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation

    Zhao, S., Dziurzanski, P. & Soares Indrusiak, L., 18 Apr 2019, (Accepted/In press) 10th International Conference on Manufacturing Science and Technology.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  10. KNOWLEDGE-BASED SELF-RECONFIGURATION AND SELF-AWARE DEMONSTRATION FOR MODULAR SATELLITE ASSEMBLY

    Post, M. A. & Austin, J., 11 Apr 2019, (Accepted/In press) 10th International Workshop on Satellite Constellations & Formation Flying 2019. Glasgow UK

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification

    Bai, L., Jiao, Y., Cui, L. & Hancock, E. R., 6 Apr 2019, (arXiv).

    Research output: Working paper

  12. FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation

    Kaul, C., Manandhar, S. K. & Pears, N. E., Apr 2019, International Symposium on Biomedical Imaging (ISBI). Venice

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. Co-created evaluation: Identifying how games support police learning

    Adams, A., Hart, J., Iacovides, I., Beavers, S., Oliveira, M. & Magroudi, M., 26 Mar 2019

    Article in International Journal of Human Computer Studies

  14. On Learning in Collective Self-adaptive Systems: State of Practice and a 3D Framework

    Gerasimou, S., D’Angelo, M., Ghahremani, S., Grohmann, J., Nunes, I., Pournaras, E. & Tomforde, S., 22 Mar 2019, (Accepted/In press) 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  15. Cloud-based Dynamic Distributed Optimisation of Integrated Process Planning and Scheduling in Smart Factories

    Zhao, S., Dziurzanski, P., Przewozniczek, M., Komarnicki, M. & Soares Indrusiak, L., 21 Mar 2019, (Accepted/In press) The Genetic and Evolutionary Computation Conference.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  16. Deep Reinforcement Learning Based Parameter Control in Differential Evolution

    Sharma, M., Komninos, A., López-Ibáñez, M. & Kazakov, D. L., 20 Mar 2019, (Accepted/In press) GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. ACM

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  17. AI and Automatic Music Generation for Mindfulness

    Williams, D., Hodge, V. J., Gega, L., Murphy, D., Cowling, P. I. & Drachen, A., 17 Mar 2019. 10 p.

    Research output: Contribution to conferencePaper

  18. Perpetual Assurances for Self-Adaptive Systems

    Weyns, D., Bencomo, N., Calinescu, R., Cámara, J., Ghezzi, C., Grassi, V., Grunske, L., Inverardi, P., Jézéquel, J-M., Malek, S., Mirandola, R., Mori, M. & Tamburrelli, G., 12 Mar 2019, Software Engineering for Self-Adaptive Systems III. Assurances. SPRINGER, p. 31-63 33 p. (Lecture Notes in Computer Science; vol. 9640).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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