What are Communicating Process Architectures? Towards a Framework for Evaluating Message-passing Concurrency Languages
Conference Proceeding
Chalmers, K. (2019)
What are Communicating Process Architectures? Towards a Framework for Evaluating Message-passing Concurrency Languages. https://doi.org/10.3233/978-1-61499-949-2-227
What does it mean to be a message-passing concurrent language? This work attempts to build a framework for classifying such languages by judging four in regards to features an...
What can we learn from simulating commuters?
Presentation / Conference
Urquhart, N. (2017, November)
What can we learn from simulating commuters?. Presented at U!REKA
Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There...
Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns
Conference Proceeding
Mcneill, M., Lawson, A., Raeside, R., & Peisl, T. (2018)
Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns. In Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)https://doi.org/10.14236/ewic/HCI2018.127
Creating a good crowdfunding campaign is difficult. By understanding why people contribute to crowdfunding campaigns we can make campaigns better and raise more money. Crowdfu...
Developing a core ontology for taxonomic data.
Conference Proceeding
Kennedy, J., Gales, R., Hyam, R., Kukla, R., Wieczorek, J., Hagedorn, G., …Vieglais, D. (2006)
Developing a core ontology for taxonomic data. In L. Belbin, A. Rissoné, & A. Weitzman (Eds.), Proceedings of TDWG (2006), St Louis, MI
Over recent years several sub-groups within the Taxonomic Databases Working Group (TDWG) have developed models and exchange standards to facilitate data sharing within the tax...
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...
Towards a Declarative Approach to Constructing Dialogue Games
Conference Proceeding
Snaith, M., & Wells, S. (2021)
Towards a Declarative Approach to Constructing Dialogue Games. In Proceedings of the 21st Workshop on Computational Models of Natural Argument (9-18
In this paper we sketch a new approach to the development of dialogue games that builds upon the knowledge gained from several decades of dialogue game research across a varie...
A Snapshot of NLG Evaluation Practices 2005 - 2014
Conference Proceeding
Gkatzia, D., & Mahamood, S. (2015)
A Snapshot of NLG Evaluation Practices 2005 - 2014. https://doi.org/10.18653/v1/w15-4708
In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand th...
SICSA Demofest 2018 - Supporting user choice in optimisation.
Exhibition / Performance
Urquhart, N., Hutcheson, W., & Hoehl, S. SICSA Demofest 2018 - Supporting user choice in optimisation. 6 November 2018 - 6 November 2018. (Unpublished))
Urquhart, N., Hutcheson, W., & Hoehl, S. SICSA Demofest 2018 - Supporting user choice in optimisation. 6 November 2018 - 6 November 2018. (Unpublished
Many complex optimisation problems can have multiple solutions, techniques such as MAP –Elites will produce a large number of solutions from which the user should make the fi...
Controlling a simulated Khepera with an XCS classifier system with memory.
Conference Proceeding
Webb, A., Hart, E., Ross, P. & Lawson, A. (2003)
Controlling a simulated Khepera with an XCS classifier system with memory. ISBN 9783540200574
Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of act...
Boosting the Immune System
Conference Proceeding
McEwan, C., Hart, E., & Paechter, B. (2007)
Boosting the Immune System. In Artificial Immune Systems, 316-327. doi:10.1007/978-3-540-85072-4_28
Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or modelling biologically plausible...