Items where Author is "Austin, Edward"

Journal Article

Austin, Edward and Morgan, Lucy E. (2025) Detecting changes and anomalies in nonstationary contextual bandits with an application to task categorisation. Information Sciences, 717: 122270. ISSN 0020-0255

Austin, Edward and Eckley, Idris A. and Bardwell, Lawrence (2024) Detection of Emergent Anomalous Structure in Functional Data. Technometrics, 66 (4). pp. 614-624. ISSN 0040-1706

Austin, Edward and Romano, Gaetano and Eckley, Idris and Fearnhead, Paul (2023) Online non-parametric changepoint detection with application to monitoring operational performance of network devices. Computational Statistics and Data Analysis, 177: 107551. ISSN 0167-9473

Contribution in Book/Report/Proceedings

Lyko, Tomasz and Austin, Edward and Lee, Alexander and Elkhatib, Yehia and Race, Nicholas (2025) The Double-Edged Impact of User Customisation on QoE in Personalised Media Experiences. In: 2025 17th International Conference on Quality of Multimedia Experience (QoMEX) :. IEEE. ISBN 9798331554354

Austin, Edward and Race, Nicholas and Lyko, Tomasz (2025) Why That Rating? : Explainable Data-Driven Opinion Score Distribution Models for Video QoE. In: 2025 17th International Conference on Quality of Multimedia Experience (QoMEX) :. IEEE.

Price, Martin and Austin, Edward and Smith, Paul and Race, Nicholas (2025) Measuring Discrepancies in Attack Surfaces Generated by Internet Intelligence Platforms. In: ACM SIGCOMM Posters and Demos '25: Proceedings of the ACM SIGCOMM 2025 Posters and Demos :. Association for Computing Machinery (ACM), New York, pp. 82-84. ISBN 9798400720260

Anand, Revika and Austin, Edward and Rotsos, Charalampos and Smith, Paul and Race, Nicholas (2025) MOSAIC : Piecing Together 5G and LEOs for NTN Integration Experimentation. In: LEO-NET '25: Proceedings of the 2025 3rd Workshop on LEO Networking and Communication :. ACM, New York, pp. 50-56. ISBN 9798400720901

Thesis

Austin, Edward and Eckley, Idris (2022) Novel Methods for the Detection of Emergent Phenomena in Streaming Data. PhD thesis, Lancaster University.