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All Outputs (2000)

Comparing data-mining algorithms developed for longitudinal observational databases
Presentation / Conference Contribution
Reps, J., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. Comparing data-mining algorithms developed for longitudinal observational databases.

Longitudinal observational databases have become
a recent interest in the post marketing drug surveillance community due to their ability of presenting a new perspective for detecting negative side effects. Algorithms mining longitudinal observation... Read More about Comparing data-mining algorithms developed for longitudinal observational databases.

Biomarker clustering of colorectal cancer data to complement clinical classification
Presentation / Conference Contribution
Roadknight, C., Aickelin, U., Ladas, A., Soria, D., Scholefield, J., & Durrant, L. Biomarker clustering of colorectal cancer data to complement clinical classification.

In this paper, we describe a dataset relating to
cellular and physical conditions of patients who are
operated upon to remove colorectal tumours. This data
provides a unique insight into immunological status at the
point of tumour removal, tumour... Read More about Biomarker clustering of colorectal cancer data to complement clinical classification.

Modelling the effects of user learning on forced innovation diffusion
Presentation / Conference Contribution
Zhang, T., Siebers, P.-O., & Aickelin, U. Modelling the effects of user learning on forced innovation diffusion.

Technology adoption theories assume that users’ acceptance of an innovative technology is on a voluntary basis. However, sometimes users are force to accept an innovation. In this case users have to learn what it is useful for and how to use it. This... Read More about Modelling the effects of user learning on forced innovation diffusion.

The application of a data mining framework to energy usage profiling in domestic residences using UK data
Presentation / Conference Contribution
Dent, I., Aickelin, U., & Rodden, T. The application of a data mining framework to energy usage profiling in domestic residences using UK data.

Changes in the UK electricity market mean that domestic
users will be required to modify their usage behaviour in order that supplies can be maintained. Clustering allows usage proles collected at the household level to be clustered into groups and... Read More about The application of a data mining framework to energy usage profiling in domestic residences using UK data.

Examining the classification accuracy of TSVMs with feature selection in comparison with the GLAD algorithm
Presentation / Conference Contribution
Helmi, H., Garibaldi, J. M., & Aickelin, U. Examining the classification accuracy of TSVMs with feature selection in comparison with the GLAD algorithm.

Gene expression data sets are used to classify and predict patient diagnostic categories. As we know, it is extremely difficult and expensive to obtain gene expression labelled examples. Moreover, conventional supervised approaches cannot function pr... Read More about Examining the classification accuracy of TSVMs with feature selection in comparison with the GLAD algorithm.

Investigating the detection of adverse drug events in a UK general practice electronic health-care database
Presentation / Conference Contribution
Reps, J., Feyereisl, J., Garibaldi, J. M., Aickelin, U., Gibson, J. E., & Hubbard, R. B. Investigating the detection of adverse drug events in a UK general practice electronic health-care database.

Data-mining techniques have frequently been developed
for Spontaneous reporting databases. These techniques
aim to find adverse drug events accurately and efficiently. Spontaneous reporting databases are prone to missing information,under reporting... Read More about Investigating the detection of adverse drug events in a UK general practice electronic health-care database.

Comparing decision support tools for cargo screening processes
Presentation / Conference Contribution
Siebers, P.-O., Sherman, G., Aickelin, U., & Menachof, D. Comparing decision support tools for cargo screening processes. . Manuscript submitted for publication

When planning to change operations at ports there are two key stake holders with very different interests involved in the decision making processes. Port operators are attentive to their standards, a smooth service flow and economic viability while b... Read More about Comparing decision support tools for cargo screening processes.

Can background baroque music help to improve the memorability of graphical passwords?
Book Chapter
Gao, H., Chang, X., Ren, Z., Aickelin, U., & Wang, L. Can background baroque music help to improve the memorability of graphical passwords?. In A. Campilho, & M. Kamel (Eds.), Image analysis and recognition: 7th international conference, ICIAR 2010, Povoa de Varzim, Portugal, June 21-23, 2010: proceedings. Springer. https://doi.org/10.1007/978-3-642-13775-4_38

Graphical passwords have been proposed as an alternative to alphanumeric passwords with their advantages in usability and security. However,they still tend to follow predictable patterns that are easier for attackers to exploit,probably due to users’... Read More about Can background baroque music help to improve the memorability of graphical passwords?.

Draw a line on your PDA to authenticate
Presentation / Conference Contribution
Liu, X., Ren, Z., Chang, X., Gao, H., & Aickelin, U. Draw a line on your PDA to authenticate.

The trend toward a highly mobile workforce and the ubiquity of graphical interfaces (such as the stylus and touch-screen) has enabled the emergence of graphical authentications in Personal Digital Assistants (PDAs) [1]. However, most of the current g... Read More about Draw a line on your PDA to authenticate.

Information fusion in the immune system
Journal Article
Twycross, J., & Aickelin, U. Information fusion in the immune system. Information Fusion, 11(1), https://doi.org/10.1016/j.inffus.2009.04.008

Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in
the field of information fusion. Artificial immune systems (AISs) are a biologically-inspired approach which take inspiration from the biological... Read More about Information fusion in the immune system.

Against spyware using CAPTCHA in graphical password scheme
Journal Article
Wang, L., Chang, X., Ren, Z., Haichang, G., Liu, X., & Aickelin, U. Against spyware using CAPTCHA in graphical password scheme. https://doi.org/10.1109/AINA.2010.46

Text-based password schemes have inherent security and usability problems, leading to the development of graphical
password schemes. However, most of these alternate schemes are vulnerable to spyware attacks. We propose a new scheme, using CAPTCHA (... Read More about Against spyware using CAPTCHA in graphical password scheme.

The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms
Book Chapter
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms. In P. Collet, N. Monmarché, P. Legrand, M. Schoenauer, & E. Lutton (Eds.), Artificial evolution: 9th International Conference = Evolution Artificielle, EA 2009: Strasbourg, France, October 26-28, 2009: revised selected papers. Springer

This paper demonstrates that a set of behaviours evolved in
simulation on a miniature robot (epuck) can be transferred to a much larger scale platform (a virtual Pioneer P3-DX) that also differs in shape, sensor type, sensor configuration and progra... Read More about The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms.

Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot
Journal Article
Whitbrook, A., Aickelin, U., & Garibaldi, J. M. Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot. Applied Soft Computing, 10(3), https://doi.org/10.1016/j.asoc.2009.10.005

A combined short-term learning (STL) and long-term learning (LTL) approach to solving mobile-robot
navigation problems is presented and tested in both the real and virtual domains. The LTL phase consists
of rapid simulations that use a genetic algo... Read More about Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot.

System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire
Book Chapter
Figueredo, G. P., Aickelin, U., & Whitbrook, A. System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire. In Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI 2009), Nottingham, UK. Intelligent Modelling & Analysis (IMA)

The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immuno-degradation that indicate signs of functionality loss possibly leading to death. Even though it is not po... Read More about System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire.

PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm
Presentation / Conference Contribution
Gu, F., Greensmith, J., Oates, R., & Aickelin, U. PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm.

As one of the newest members in the field of articial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is
based on behavioural models of natural dendritic cells (DCs). Unlike other AIS, the DCA does not rely on training data, instead domain... Read More about PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm.

Modelling and analysing cargo screening processes: a project outline
Presentation / Conference Contribution
Siebers, P.-O., Aickelin, U., Menachof, D., & Sherman, G. Modelling and analysing cargo screening processes: a project outline.

The efficiency of current cargo screening processes at sea
and air ports is unknown as no benchmarks exists against which they could be measured. Some manufacturer benchmarks exist for individual sensors but we have not found any benchmarks that tak... Read More about Modelling and analysing cargo screening processes: a project outline.

Development of a cargo screening process simulator: a first approach
Presentation / Conference Contribution
Siebers, P., Sherman, G., & Aickelin, U. Development of a cargo screening process simulator: a first approach.

The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that ta... Read More about Development of a cargo screening process simulator: a first approach.

Optimisation of a crossdocking distribution centre simulation model
Book Chapter
Adewunmi, A., & Aickelin, U. Optimisation of a crossdocking distribution centre simulation model. In Proceedings of the 2008 International Simulation Multi-conference. The Society For Modeling and Simulation International (SCS)

This paper reports on continuing research into the
modelling of an order picking process within a
Crossdocking distribution centre using Simulation
Optimisation. The aim of this project is to optimise a
discrete event simulation model and to unde... Read More about Optimisation of a crossdocking distribution centre simulation model.