Publication
2024
- Davies, C. and Preece, A. 2024. Vector symbolic open source information discovery. Presented at: SPIE Defense + Commercial Sensing, National Harbor, Maryland, United States, 7 June 2024Proceedings Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, Vol. 13051. SPIE, (10.1117/12.3013447)
2023
- Davies, C., Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. [Online]. Available at: https://charliezhaoyinpeng.github.io/UDM-KDD23/ap/
2021
- Davies, C. et al. 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021), Virtual, 07 June 2021. AAAI, (10.36190/2021.13)
Conferences
- Davies, C. and Preece, A. 2024. Vector symbolic open source information discovery. Presented at: SPIE Defense + Commercial Sensing, National Harbor, Maryland, United States, 7 June 2024Proceedings Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, Vol. 13051. SPIE, (10.1117/12.3013447)
- Davies, C. et al. 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021), Virtual, 07 June 2021. AAAI, (10.36190/2021.13)
Websites
- Davies, C., Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. [Online]. Available at: https://charliezhaoyinpeng.github.io/UDM-KDD23/ap/
Biography
I am a part-time PhD student with the School of Computer Science and Informatics and full-time research associate with the Security, Crime, and Intelligence Innovation Institute and Hartree Cardiff Hub. My research interests lie in multi-modal information discovery and knowledge management, using an integration of transformer-based approaches and vector symbolic architecture/hyper-dimensional computing. I am also a volunteer for the RSPB using AI for conservation.