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Ensemble learning of colorectal cancer survival rates
Presentation / Conference Contribution
Roadknight, C., Aickelin, U., Scholefield, J., & Durrant, L. Ensemble learning of colorectal cancer survival rates. Presented at IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) 2013

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 cla... Read More about Ensemble learning of colorectal cancer survival rates.

Performance measurement under increasing environmental uncertainty in the context of interval type-2 fuzzy logic based robotic sailing
Presentation / Conference Contribution
Benatar, N., Aickelin, U., & Garibaldi, J. M. Performance measurement under increasing environmental uncertainty in the context of interval type-2 fuzzy logic based robotic sailing. Presented at IEEE International Conference on Fuzzy Systems 2013 (Fuzz-IEEE 2013)

Performance measurement of robotic controllers based on fuzzy logic, operating under uncertainty, is a subject area which has been somewhat ignored in the current literature. In this paper standard measures such as RMSE are shown to be inappropriate... Read More about Performance measurement under increasing environmental uncertainty in the context of interval type-2 fuzzy logic based robotic sailing.

Towns conquer: a gamified application to collect geographical names (vernacular names/toponyms)
Presentation / Conference Contribution
Castellote, J., Huerta, J., Pescador, J., & Brown, M. Towns conquer: a gamified application to collect geographical names (vernacular names/toponyms). Presented at AGILE 2013

The traditional model for geospatial crowd sourcing asks the public to use their free time collecting geospatial data for no obvious reward. This model has shown to work very well on projects such as Open Street Map, but comes with some clear disadva... Read More about Towns conquer: a gamified application to collect geographical names (vernacular names/toponyms).

On the role of the AIS practitioner
Presentation / Conference Contribution
Hart, E., Read, M., McEwan, C., Aickelin, U., & Greensmith, J. On the role of the AIS practitioner. Presented at The 12th European Conference on Artificial Life (ECAL 2013)

Cognisant of the gulf between engineers and immunologists
that currenty hinders a truly inter-disciplinary approach to
the field of Artificial Immune Systems (AIS), we propose
a redefinition of the term AIS practitioner, as an individual who ident... Read More about On the role of the AIS practitioner.

Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets
Presentation / Conference Contribution
McCulloch, J., Wagner, C., & Aickelin, U. Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets. Presented at IEEE International Conference on Fuzzy Systems 2013 (Fuzz-IEEE 2013)

Similarity measures provide one of the core tools
that enable reasoning about fuzzy sets. While many types of
similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few similarity measures that enable the comparison of... Read More about Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets.

Intergenerational interpretation of the Internet of Things
Book
Brown, M., Coughlan, T., Lawson, G., Mortier, R., Houghton, R., & Goulden, M. Intergenerational interpretation of the Internet of Things. Horizon Digital Economy Reseearch Institute. Manuscript submitted for publication

This report investigates how different generations within a household interpret individual members’ data generated by the Internet of Things (IoT). Adopting a mixed methods approach, we are interested in interpretations of the IoT by teenagers, thei... Read More about Intergenerational interpretation of the Internet of Things.

An approach for assessing clustering of households by electricity usage
Presentation / Conference Contribution
Dent, I., Craig, T., Aickelin, U., & Rodden, T. An approach for assessing clustering of households by electricity usage. Presented at UKCI 2012, the 12th Annual Workshop on Computational Intelligence

How a household varies their regular usage of electricity
is useful information for organisations to allow accurate
targeting of behaviour modification initiatives with the aim of improving the overall efficiency of the electricity network. The var... Read More about An approach for assessing clustering of households by electricity usage.

Using clustering to extract personality information from socio economic data
Presentation / Conference Contribution
Ladas, A., Aickelin, U., Garibaldi, J. M., & Ferguson, E. Using clustering to extract personality information from socio economic data. Presented at 12th UK Workshop on Computational Intelligence (UKCI 2012)

It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from the theories of Personality Psychology in order t... Read More about Using clustering to extract personality information from socio economic data.

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. Presented at UKCI 2012, the 12th Annual Workshop on Computational Intelligence

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. Presented at Federated Conference on Computer Science and Information Systems (FedCSIS)

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. Presented at ORS SW12 Simulation Conference

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. Presented at Buildings Don't Use Energy, People Do: Research Students' Conference

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. Presented at UKCI 2011, 11th Annual Workshop on Computational Intelligence

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. Presented at UKCI 2011, 11th Annual Workshop on Computational Intelligence

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. Presented at 10th International Conference on Modeling and Applied Simulation

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.

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. Presented at Symposium on Usable Privacy and Security, SOUPS2010

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.