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Results for Transfer learning

Publications & Outputs

  1. Cross-Domain Activity Recognition Using Shared Representation in Sensor Data

    Hamad, R. A., Yang, L., Woo, W. L. & Wei, B., 1/07/2022, In: IEEE Sensors Journal. 22, 13, p. 13273-13284 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Real-time facial expression recognition based on iterative transfer learning and efficient attention network

    Kong, Y., Zhang, S., Zhang, K., Ni, Q. & Han, J., 31/05/2022, In: IET Image Processing. 16, 6, p. 1694-1708 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

    Xia, M., Shao, H., Williams, D., Lu, S., Shu, L. & de Silva, C. W., 30/11/2021, In: Reliability Engineering and System Safety. 215, 9 p., 107938.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Multi-scale deep intra-class transfer learning for bearing fault diagnosis

    Wang, X., Shen, C., Xia, M., Wang, D., Zhu, J. & Zhu, Z., 1/10/2020, In: Reliability Engineering and System Safety. 202, 15 p., 107050.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Multi-task projected embedding for igbo

    Ezeani, I., Hepple, M., Onyenwe, I. & Enemuo, C., 8/09/2018, Text, Speech, and Dialogue - 21st International Conference, TSD 2018, Proceedings. Sojka, P., Horák, A., Kopecek, I. & Pala, K. (eds.). Cham: Springer-Verlag, p. 285-294 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11107 LNAI).

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