All Outputs (2869)

Alfonso de Cartagena on the affair of the Canaries (1436–37): humanist rhetoric and the idea of the nation-state in fifteenth–century Castile
Conference Proceeding

This paper examines the political and juridical theories expounded in Allegationes super conquesta insularum Canarie contra Portugalenses, a brief prepared in 1436 or 1437 by Alfonso de Cartagena, bishop of Burgos and Castilian legate to the Council... Read More about Alfonso de Cartagena on the affair of the Canaries (1436–37): humanist rhetoric and the idea of the nation-state in fifteenth–century Castile.

Ensemble learning of colorectal cancer survival rates
Conference Proceeding

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
Conference Proceeding

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.

The use of agent-based simulation to discover extreme cases in immune-interactions with early-stage cancer scenarios
Conference Proceeding

Towns conquer: a gamified application to collect geographical names (vernacular names/toponyms)
Conference Proceeding

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
Conference Proceeding

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
Conference Proceeding

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.

Rural Enterprise as an Agent for Technology Development and Facilitation in the Digital Economy
Conference Proceeding

This paper outlines recent developments in the Scaling the Rural Enterprise (SRE) research project – an interdisciplinary project that combines the expertise of social scientists, computer scientists and software developers, in order to inform the de... Read More about Rural Enterprise as an Agent for Technology Development and Facilitation in the Digital Economy.

The right of communication to the public in the cloud: an EU perspective
Conference Proceeding

This paper examines the law relating to the right of communication to the public with reference to cloud storage and retrieval. It does so under the WIPO Internet treaties and EU statutory and case law, with some references to Member State statutory... Read More about The right of communication to the public in the cloud: an EU perspective.

An approach for assessing clustering of households by electricity usage
Conference Proceeding

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.

Introduction to the Heijkoop approach to challenging behaviour in ID
Conference Proceeding

The Heijkoop method is used widely in ID challenging behaviour services across Northern Europe; the lack of an English-language account has inhibited its uptake in the UK. The method is fundamentally experiential and aimed at understanding the ‘Who’... Read More about Introduction to the Heijkoop approach to challenging behaviour in ID.

Using clustering to extract personality information from socio economic data
Conference Proceeding

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.

From reconstruction to deconstruction: the role of research in South African skills development
Conference Proceeding

Comparing data-mining algorithms developed for longitudinal observational databases
Conference Proceeding

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
Conference Proceeding

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.

Unconditional quantile regressions, earnings disparity and gender discrimination in post-transformation of urban China
Conference Proceeding

Market-oriented economic reform has gone through several key stages to bring substantial changes to current Chinese economy. It has accelerated after 1992, and meets the pattern transformation of economic development in 2002. During this dramatic and... Read More about Unconditional quantile regressions, earnings disparity and gender discrimination in post-transformation of urban China.

Modelling the effects of user learning on forced innovation diffusion
Conference Proceeding

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.

Focused ion beam milling of brass for microinjection mould fabrication
Conference Proceeding

In this paper focused ion beam (FIB) milling (sputtering) is demonstrated for the fabrication of brass microinjection moulding inserts which have been previously conventionally milled. It is found that FIB milling of the α phase of the material resul... Read More about Focused ion beam milling of brass for microinjection mould fabrication.

The application of a data mining framework to energy usage profiling in domestic residences using UK data
Conference Proceeding

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
Conference Proceeding

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.