Mr Marc Roig Vilamala
(e/fe)
Timau a rolau for Marc Roig Vilamala
Cynorthwy-ydd Ymchwil Ôl-ddoethurol
Cyhoeddiad
2024
- Bent, G. A. et al. 2024. The transformative potential of vector symbolic architecture for cognitive processing at the network edge. Presented at: Security and Defence 2024, Edinburgh, Scotland, 16-20 September 2024Proceedings Artificial Intelligence for Security and Defence Applications II, Vol. 13206. SPIE, (10.1117/12.3030949)
- Bent, G. A. et al. 2024. A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge. Presented at: Artificial Intelligence for Security and Defence Applications II, Edinburgh, UK, 17–19 September 2024 Presented at Bouma, H. et al. eds.Proceedings of Artificial Intelligence for Security and Defence Applications II. Vol. 132061. SPIE pp. 39-55., (10.1117/12.3030952)
- Briseno, J. d. G. et al. 2024. TeamCollab: A framework for collaborative perception-cognition-communication-action. Presented at: 27th International Conference on Information Fusion (FUSION), Venice, Italy, 08-11 July 20242024 27th International Conference on Information Fusion (FUSION). IEEE pp. 1-8., (10.23919/fusion59988.2024.10706435)
- Roig Vilamala, M., Furby, J., de Gortari Briseno, J., Srivastava, M., Preece, A. and Fuentes Toro, C. 2024. Analysing explanation-related interactions in collaborative perception-cognition-communication-action. Presented at: RO-MAN 2024: 33rd IEEE International Conference on Robot and Human Interactive Communication, Pasadena, CA, USA, 26-30 August 2024IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (2024). IEEE
2023
- Davies, C., Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. Presented at: 2nd KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, Long Beach, CA, USA, 7 August 2023.
- Roig Vilamala, M. et al. 2023. DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Systems with Applications 215, article number: 119376. (10.1016/j.eswa.2022.119376)
2022
- Roig Vilamala, M. 2022. Combining neural networks with symbolic approaches to perform complex event processing on non-symbolic data. PhD Thesis, Cardiff University.
Articles
- Roig Vilamala, M. et al. 2023. DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Systems with Applications 215, article number: 119376. (10.1016/j.eswa.2022.119376)
Conferences
- Bent, G. A. et al. 2024. The transformative potential of vector symbolic architecture for cognitive processing at the network edge. Presented at: Security and Defence 2024, Edinburgh, Scotland, 16-20 September 2024Proceedings Artificial Intelligence for Security and Defence Applications II, Vol. 13206. SPIE, (10.1117/12.3030949)
- Bent, G. A. et al. 2024. A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge. Presented at: Artificial Intelligence for Security and Defence Applications II, Edinburgh, UK, 17–19 September 2024 Presented at Bouma, H. et al. eds.Proceedings of Artificial Intelligence for Security and Defence Applications II. Vol. 132061. SPIE pp. 39-55., (10.1117/12.3030952)
- Briseno, J. d. G. et al. 2024. TeamCollab: A framework for collaborative perception-cognition-communication-action. Presented at: 27th International Conference on Information Fusion (FUSION), Venice, Italy, 08-11 July 20242024 27th International Conference on Information Fusion (FUSION). IEEE pp. 1-8., (10.23919/fusion59988.2024.10706435)
- Roig Vilamala, M., Furby, J., de Gortari Briseno, J., Srivastava, M., Preece, A. and Fuentes Toro, C. 2024. Analysing explanation-related interactions in collaborative perception-cognition-communication-action. Presented at: RO-MAN 2024: 33rd IEEE International Conference on Robot and Human Interactive Communication, Pasadena, CA, USA, 26-30 August 2024IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (2024). IEEE
- Davies, C., Roig Vilamala, M. and Preece, A. 2023. Knowledge from uncertainty in evidential deep learning. Presented at: 2nd KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, Long Beach, CA, USA, 7 August 2023.
Thesis
- Roig Vilamala, M. 2022. Combining neural networks with symbolic approaches to perform complex event processing on non-symbolic data. PhD Thesis, Cardiff University.
