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Results for Deep learning

Publications & Outputs

  1. An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study

    Williams, B., Borroni, D., Liu, R., Zhao, Y., Zhang, J., Lim, J., Ma, B., Romano, V., Qi, H., Ferdousi, M., Petropoulos, I., Ponirakis, G., Kaye, S., Malik, R., Alam, U. & Zheng, Y., 12/11/2019, In : Diabetologia. 63, 2, p. 419-430 12 p.

    Research output: Contribution to journalJournal article

  2. Integrated deep learning model for predicting electrical power generation from wave energy converter

    Ni, C., Ma, X. & Wang, J., 11/11/2019, 2019 25th IEEE International Conference on Automation & Computing (ICAC'19). IEEE

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

  3. AI on the Move: From On-Device to On-Multi-Device

    Flores, H., Nurmi, P. & Hui, P., 6/06/2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, p. 310-315 6 p.

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

  4. Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval

    Wu, G., Han, J., Guo, Y., Liu, L., Ding, G., Ni, Q. & Shao, L., 04/2019, In : IEEE Transactions on Image Processing. 28, 4, p. 1993-2007 15 p.

    Research output: Contribution to journalJournal article

  5. One-Two-One Network for Compression Artifacts Reduction in Remote Sensing

    Zhang, B., Gu, J., Chen, C., Han, J., Su, X., Cao, X. & Liu, J., 11/2018, In : ISPRS Journal of Photogrammetry and Remote Sensing. 145, Part A, p. 184-196 13 p.

    Research output: Contribution to journalJournal article

  6. Deep rule-based classifier with human-level performance and characteristics

    Angelov, P. P. & Gu, X., 10/2018, In : Information Sciences. 463-464, p. 196-213 18 p.

    Research output: Contribution to journalJournal article

  7. Unconstrained Face Recognition Using A Set-to-Set Distance Measure on Deep Learned Features

    Zhao, J., Han, J. & Shao, L., 10/2018, In : IEEE Transactions on Circuits and Systems for Video Technology. 28, 10, p. 2679-2689 11 p.

    Research output: Contribution to journalJournal article

  8. Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

    Ni, C. & Ma, X., 13/08/2018, In : Energies. 11, 8, 18 p., 2097.

    Research output: Contribution to journalJournal article