The Library
Browse by Warwick Author
Up a level |
Jump to: Engineering and Physical Sciences Research Council (EPSRC) | Jaguar Land Rover (Firm) | Nokia (Firm) | This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/N012380/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme. | University of Warwick
Number of items: 10.
Engineering and Physical Sciences Research Council (EPSRC)
Taylor, Phillip M., Griffiths, Nathan, Barakat, Lina and Miles, Simon (2017) Stereotype reputation with limited observability. In: AAMAS: International Conference on Autonomous Agents and Multiagent Systems, São Paulo, Brazil, 8-12 May 2017. Published in: Lecture Notes in Artificial Intelligence [LNCS], 10642 pp. 84-102. ISBN 9783319716817. doi:10.1007/978-3-319-71682-4 ISSN 1611-3349.
Taylor, Phillip M., Griffiths, Nathan, Bhalerao, Abhir, Xu, Zhou, Gelencser, Adam and Popham, Thomas (2017) Investigating the feasibility of vehicle telemetry data as a means of predicting driver workload. International Journal of Mobile Human-Computer Interaction, 9 (3). pp. 54-72. ISSN 1942-390X.
Player, Caroline E. and Griffiths, Nathan (2017) Bootstrapping trust and stereotypes with tags. In: 19th International Workshop on Trust in Agent Societies (Trust@AAMAS 2017), Sao Paulo, Brazil, 8-12 May 2017. Published in: Proceedings of the 19th International Workshop on Trust in Agent Societies (Trust@AAMAS 2017) (Unpublished)
Barakat, Lina, Mahmoud, Samhar, Taylor, Phillip M., Griffiths, Nathan and Miles, Simon (2016) Reputation-based provider incentivisation for provenance provision. In: 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, 9-13 May 2016. Published in: AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems pp. 1429-1430. ISBN 9781450342391. doi:10.5555/2936924.2937194
Barakat, Lina, Taylor, Phillip M., Griffiths, Nathan and Miles, Simon (2015) Context-driven assessment of provider reputation in composite provision scenarios. In: Barros, Alistair and Grigori , Daniela and Narendra, Nanjangud C. and Dam, Hoa Khanh, (eds.) Service-Oriented Computing : 13th International Conference, ICSOC 2015, Goa, India, November 16-19, 2015, Proceedings. Lecture Notes in Computer Science, 9435 . Springer, pp. 53-67. ISBN 9783662486153
Miles, Simon and Griffiths, Nathan (2015) Incorporating mitigating circumstances into reputation assessment. In: Koch, Fernando and Guttmann, Christian and Busquets, Didac, (eds.) Advances in Social Computing and Multiagent Systems. Communications in Computer and Information Science, 541 . Springer International Publishing, pp. 77-93. ISBN 9783319248042
Jaguar Land Rover (Firm)
Taylor, Phillip M., Griffiths, Nathan, Bhalerao, Abhir, Xu, Zhou, Gelencser, Adam and Popham, Thomas (2017) Investigating the feasibility of vehicle telemetry data as a means of predicting driver workload. International Journal of Mobile Human-Computer Interaction, 9 (3). pp. 54-72. ISSN 1942-390X.
Nokia (Firm)
Thomason, Alasdair, Griffiths, Nathan and Sanchez Silva, Victor (2016) Context trees : augmenting geospatial trajectories with context. ACM Transactions on Information Systems , 35 (2). 14. doi:10.1145/2978578 ISSN 1046-8188 .
This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/N012380/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme.
Van Hinsbergh, James, Griffiths, Nathan, Taylor, Phillip M., Thomason, Alasdair, Xu, Z. and Mouzakitis, A. (2021) Classifying vehicle activity to improve point of interest extraction. Mobile Information Systems, 2021 . 9973681. doi:10.1155/2021/9973681 ISSN 1574-017X.
University of Warwick
Jhumka, Arshad, Griffiths, Nathan, Dawson, A. (Anthony) and Myers, Richard (2008) An outlook on the impact of trust models on routing in mobile ad hoc networks (MANETs). In: Networking and Electronic Commerce Research Conference (NAEC 2008), Lake Garda, Italy, 25-28 Sep 2008 (Unpublished)
This list was generated on Fri Mar 29 13:43:13 2024 GMT.