Results for Deep learning

Publications & Outputs

1. HFN: Heterogeneous feature network for multivariate time series anomaly detection

   Zhan, J., Wu, C., Yang, C., Miao, Q. & Ma, X., 30/06/2024, In: Information Sciences. 670, 15 p., 120626.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond

   Mu, R., Marcolino, L., Ni, Q. & Ruan, W., 31/03/2024, In: Neural Networks. 171, p. 127-143 17 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

3. Deep learning based object detection from multi-modal sensors: an overview

   Liu, Y., Meng, S., Wang, H. & Liu, J., 29/02/2024, In: Multimedia Tools and Applications. 83, 7, p. 19841-19870 30 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. Searching for long faint astronomical high energy transients: a data driven approach

   Crupi, R., Dilillo, G., Bissaldi, E., Ward, K., Fiore, F. & Vacchi, A., 22/11/2023, In: Experimental Astronomy. 56, p. 421-476 56 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

5. Internet of things-enabled real-time health monitoring system using deep learning

   Wu, X., Liu, C., Wang, L. & Bilal, M., 31/07/2023, In: Neural Computing and Applications. 35, 20, p. 14565-14576 12 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. Intelligent time-series forecasting framework for non-linear dynamic workload and resource prediction in cloud

   Ullah, F., Bilal, M. & Yoon, S. K., 30/04/2023, In: Computer Networks. 225, 109653.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

7. Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks

   Zhang, S., Gao, M., Ni, Q. & Han, J., 14/04/2023, In: Neurocomputing. 530, p. 116-124 9 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

8. Generalizing universal adversarial perturbations for deep neural networks

   Zhang, Y., Ruan, W., Wang, F. & Huang, X., 22/03/2023, (E-pub ahead of print) In: Machine Learning.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

9. Deep learning based brain tumor segmentation: a survey

   Liu, Z., Tong, L., Chen, L., Jiang, Z., Zhou, F., Zhang, Q., Zhang, X., Jin, Y. & Zhou, H., 28/02/2023, In: Complex and Intelligent Systems. 9, 1, p. 1001-1026 26 p., 639.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

10. An Improved eXplainable Point Cloud Classifier (XPCC)

    Arnold, N., Angelov, P. & Atkinson, P., 1/02/2023, In: IEEE Transactions on Artificial Intelligence. 4, 1, p. 71-80 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

11. Improving face recognition using deep autoencoders and feature fusion

    Khider, A., Djemili, R., Bouridane, A. & Jiang, R., 30/01/2023, In: International Journal of Biometrics. 15, 1, p. 40-58 19 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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