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Results for Deep neural networks

Publications & Outputs

  1. A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability

    Huang, X., Kroening, D., Ruan, W., Sharp, J., Sun, Y., Thamo, E., Wu, M. & Yi, X., 1/08/2020, In: Computer Science Review. 37, 35 p., 100270.

    Research output: Contribution to journalJournal articlepeer-review

  2. Data-driven prognosis method using hybrid deep recurrent neural network

    Xia, M., Zheng, X., Imran, M. & Shoaib, M., 1/08/2020, In: Applied Soft Computing Journal. 93, 8 p., 106351.

    Research output: Contribution to journalJournal articlepeer-review

  3. AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology

    Xia, T., Fu, Y. Q., Jin, N., Chazot, P., Angelov, P. & Jiang, R., 21/06/2020, p. 98-102. 5 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

  4. Deep learning based pedestrian detection at distance in smart cities

    Dinakaran, R. K., Easom, P., Bouridane, A., Zhang, L., Jiang, R., Mehboob, F. & Rauf, A., 1/01/2020, Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. Bi, Y., Bhatia, R. & Kapoor, S. (eds.). Springer-Verlag, p. 588-593 6 p. (Advances in Intelligent Systems and Computing; vol. 1038).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  5. Single Satellite Imagery Simultaneous Super-resolution and Colorization using Multi-task Deep Neural Networks

    Liu, H., Fu, Z., Han, J., Shao, L. & Liu, H., 05/2018, In: Journal of Visual Communication and Image Representation. 53, p. 20-30 11 p.

    Research output: Contribution to journalJournal articlepeer-review