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Results for Anomaly detection

Publications & Outputs

  1. Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection

    Ward, K., Dilillo, G., Eckley, I. & Fearnhead, P., 6/09/2023, (E-pub ahead of print) In: Journal of the American Statistical Association. 13 p.

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

  2. 6G-Enabled Anomaly Detection for Metaverse Healthcare Analytics in Internet of Things

    Wu, X., Yang, Y., Bilal, M., Qi, L. & Xu, X., 24/07/2023, (E-pub ahead of print) In: IEEE Journal of Biomedical and Health Informatics. p. 1-10 10 p.

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

  3. Masked Swin Transformer Unet for Industrial Anomaly Detection

    Jiang, J., Zhu, J., Bilal, M., Cui, Y., Kumar, N., Dou, R., Su, F. & Xu, X., 1/02/2023, In: IEEE Transactions on Industrial Informatics. 19, 2, p. 2200-2209 10 p.

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

  4. STGAT-MAD: Spatial-Temporal Graph Attention Network for Multivariate Time Series Anomaly Detection

    Zhan, J., Wang, S., Ma, X., Wu, C., Yang, C., Zeng, D. & Wang, S., 27/04/2022, (ICASSP 2022) 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, May 22-27, 2022, Singapore. IEEE, 5 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Innovative and Additive Outlier Robust Kalman Filtering with a Robust Particle Filter

    Fisch, A., Eckley, I. & Fearnhead, P., 31/01/2022, In: IEEE Transactions on Signal Processing. 70, p. 47-56 10 p.

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

  6. An evolving approach to data streams clustering based on typicality and eccentricity data analytics

    Bezerra, C. G., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 31/05/2020, In: Information Sciences. 518, p. 13-28 16 p.

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

  7. Robust Functional Regression for Outlier Detection

    Hullait, H., Leslie, D. S., Pavlidis, N. G. & King, S., 23/01/2020, Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers. Lemaire, V., Malinowski, S., Bagnall, A., Bondu, A., Guyet, T. & Tavenard, R. (eds.). Cham: Springer, p. 3-13 11 p. (Lecture Notes in Computer Science; vol. 11986).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Hybrid self-organizing feature map (SOM) for anomaly detection in cloud infrastructures using granular clustering based upon value-difference metrics

    Stephanakis, I. M., Chochliouros, I. P., Sfakianakis, E., Shirazi, S. N. & Hutchison, D., 1/08/2019, In: Information Sciences. 494, p. 247-277 31 p.

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

  9. Automatic detection of computer network traffic anomalies based on eccentricity analysis

    Martins, R. S., Angelov, P. & Costa, B. S. J., 15/10/2018, 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8 p. 8491507

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Anomalous behaviour detection based on heterogeneous data and data fusion

    Mohd Ali, A. & Angelov, P., 05/2018, In: Soft Computing. 22, 10, p. 3187-3201 15 p.

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

  11. Real-time Recognition of Calling Pattern and Behaviour of Mobile Phone users through Anomaly Detection and Dynamically Evolving Clustering

    Iglesias, J., Ledezma, A., Sanchis, A. & Angelov, P. P., 5/08/2017, In: Applied Sciences. 7, 8, p. 1-14 14 p., 798.

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

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