Response to Call for Evidence for the Review of Online Targeting by the Centre for Data Ethics and Innovation
Other
McAuley, D., & Chen, J. (2019). Response to Call for Evidence for the Review of Online Targeting by the Centre for Data Ethics and Innovation
Outputs (2296)
Response to the Public Consultation on the European Commission’s European Strategy for Data
Other
McAuley, D., Koene, A., & Chen, J. (2020). Response to the Public Consultation on the European Commission’s European Strategy for Data
Horizon Response to the Public Consultation on the European Commission’s White Paper on Artificial Intelligence - A European Approach [2020]
Other
McAuley, D., Koene, A., & Chen, J. Horizon Response to the Public Consultation on the European Commission’s White Paper on Artificial Intelligence - A European Approach [2020]
Response to Consultation on the Government's Regulatory Proposals Regarding Consumer Internet of Things (IoT) Security
Other
McAuley, D., Koene, A., & Chen, J. (2019). Response to Consultation on the Government's Regulatory Proposals Regarding Consumer Internet of Things (IoT) Security
Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., Aydt, M., Tom, T., & Lang, A. (2022). Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online. University of Nottingham: AHRC/UKRIThe Coronavirus Discourses project supports public health partners Public Health Wales, Public Health England, and NHS Education for Scotland in addressing key challenges that the coronavirus pandemic presents in terms of understanding the flow and i... Read More about Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online.
Memory implementations : current alternatives
Other
Wilson, W., & Aickelin, U. (in press). Memory implementations : current alternatives
Reducing variance in a crossdocking simulation model using common random numbers and antithetic variates
Presentation / Conference Contribution
Adewunmi, A., & Aickelin, U. Reducing variance in a crossdocking simulation model using common random numbers and antithetic variates. Presented at Annual Operational Research Conference 50 (OR 50)
Detecting danger: the Dendritic Cell Algorithm
Book Chapter
Greensmith, J., Aickelin, U., & Cayzer, S. Detecting danger: the Dendritic Cell Algorithm. In Robust intelligent systems. Springer Publishing Company
Self-organizing maps in computer security
Book Chapter
Feyereisl, J., & Aickelin, U. (in press). Self-organizing maps in computer security. In R. D. Hopkins, & W. P. Tokere (Eds.), Self-organizing maps in computer security: intrusion, detection and prevention. Nova Science
Integrating real-time analysis with the dendritic cell algorithm through segmentation
Presentation / Conference Contribution
Gu, F., Greensmith, J., & Aickelin, U. Integrating real-time analysis with the dendritic cell algorithm through segmentation. Presented at GECCO '09: Proceedings of the 11th Genetic and Evolutionary Computation ConferenceAs an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a range of problems, particularly in the area of intrusion detection. Ideally, the intrusion detection should be performed in real-time, to continuously detect mi... Read More about Integrating real-time analysis with the dendritic cell algorithm through segmentation.