Search research publications and outputs

  1. 2019
  2. Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification

    Bai, L., Cui, L., Jiao, Y. & Hancock, E. R., 2019, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Würzburg, Germany, 16th - 20th of September 2019.

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

  3. Energy-efficient design and control of a vibro-driven robot

    Liu, P., Neumann, G., Fu, Q., Pearson, S. & Yu, H., 7 Jan 2019, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). p. 1464-1469 6 p.

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

  4. Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment

    Demediuk, S. P., Tamassia, M., Li, X. & Raffe, W., 29 Jan 2019, Proceedings of ACSW.

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

  5. DeepFault: Fault Localization for Deep Neural Networks

    Gerasimou, S., Eniser, H. F. & Sen, A., 15 Feb 2019, 22nd International Conference on Fundamental Approaches to Software Engineering. Springer-Verlag

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

  6. Combining 3D Morphable Models: A Large scale Face-and-Head Model

    Ploumpis, S., Wang, H., Pears, N. E., Smith, W. A. P. & Zafeiriou, S., 11 Mar 2019, (Accepted/In press) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019.

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

  7. Depth from a polarisation + RGB stereo pair

    Zhu, D. & Smith, W. A. P., 11 Mar 2019, (Accepted/In press) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019.

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

  8. 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

  9. 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

  10. 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

  11. Feature selection method for image steganalysis based on weighted inner-inter class distance and dispersion criterion

    Ma, Y., Luo, X., Li, Z., Zhang, Y. & Bors, A. G., May 2019, Proc. ACM Turing Celebration Conference - China. ACM, 5 p. 66

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

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