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Outputs (2293)

The Timestreams platform: artist mediated participatory sensing for environmental discourse
Presentation / Conference Contribution
Blum, J., Flintham, M., Jacobs, R., Shipp, V., Kefalidou, G., Brown, M., & McAuley, D. The Timestreams platform: artist mediated participatory sensing for environmental discourse. Presented at 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013)

Ubiquitous and pervasive computing techniques have been used to inform discourses around climate change and energy insecurity, traditionally through data capture and representation for scientists, policy makers and the public. Research into re-engagi... Read More about The Timestreams platform: artist mediated participatory sensing for environmental discourse.

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.