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All Outputs (2136)

The effect of baroque music on the PassPoints graphical password
Presentation / Conference Contribution
Gao, H., Ren, Z., Chang, X., Liu, X., & Aickelin, U. The effect of baroque music on the PassPoints graphical password. Presented at CIVR '10: Proceedings of the ACM International Conference on Image and Video Retrieval

Graphical passwords have been demonstrated to be the possible alternatives to traditional alphanumeric passwords. However, they still tend to follow predictable patterns that are easier to attack. The crux of the problem is users’ memory limitations.... Read More about The effect of baroque music on the PassPoints graphical password.

A comparison of non-stationary, type-2 and dual surface fuzzy control
Presentation / Conference Contribution
Benatar, N., Aickelin, U., & Garibaldi, J. M. A comparison of non-stationary, type-2 and dual surface fuzzy control. Presented at 2011 IEEE International Conference on Fuzzy Systems

Type-1 fuzzy logic has frequently been used in control systems. However this method is sometimes shown to be too restrictive and unable to adapt in the presence of uncertainty. In this paper we compare type-1 fuzzy control with several other fuzzy ap... Read More about A comparison of non-stationary, type-2 and dual surface fuzzy control.

Variance in system dynamics and agent based modelling using the SIR model of infectious diseases
Presentation / Conference Contribution
Ahmed, A., Greensmith, J., & Aickelin, U. Variance in system dynamics and agent based modelling using the SIR model of infectious diseases. Presented at Proceedings of the 26th European Conference on Modelling and Simulation (ECMS)

Classical deterministic simulations of epidemiological processes, such as those based on System Dynamics, produce a single result based on a fixed set of input parameters with no variance between simulations. Input parameters are subsequently modifie... Read More about Variance in system dynamics and agent based modelling using the SIR model of infectious diseases.

Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters
Presentation / Conference Contribution
Roadknight, C., Aickelin, U., Qiu, G., Scholefield, J., & Durrant, L. Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters. Presented at 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

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 cl... Read More about Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.

An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
Presentation / Conference Contribution
Roadknight, C., Suryanarayanan, D., Aickelin, U., Scholefield, J., & Durrant, L. An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. Presented at 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015)

This paper primarily addresses a dataset relating to cellular, chemical and physical conditions of patients gathered at the time they are operated upon to remove colorectal tumours. This data provides a unique insight into the biochemical and immunol... Read More about An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates.

Computational models of emotion, personality, and social relationships for interactions in games
Presentation / Conference Contribution
Chowanda, A., Blanchfield, P., Flintham, M., & Valstar, M. Computational models of emotion, personality, and social relationships for interactions in games. Presented at 2016 International Conference on Autonomous Agents and Multiagent Systems

We present a novel computational model of emotion, personality and social relationships, implemented and evaluated in an existing commercial game (The Elder Scrolls V: Skyrim). We argue that Non Player Characters (NPCs) with such capabilities will ac... Read More about Computational models of emotion, personality, and social relationships for interactions in games.

Quantification of perception clusters using R-fuzzy sets and grey analysis
Presentation / Conference Contribution
Khuman, A. S., Yang, Y., John, R., & Liu, S. Quantification of perception clusters using R-fuzzy sets and grey analysis. Presented at 2016 International Conference on Grey Systems and Uncertainity Analysis (GSUA2016)

This paper investigates the use of the R-fuzzy significance measure hybrid approach introduced by the authors in a previous work; used in conjunction with grey analysis to allow for further inferencing, providing a higher dimension of accuracy and un... Read More about Quantification of perception clusters using R-fuzzy sets and grey analysis.

Human-data interaction
Book Chapter
Mortier, R., Haddadi, H., Henderson, T., McAuley, D., Crowcroft, J., & Crabtree, A. (in press). Human-data interaction. In The encyclopedia of human-computer interaction. Interaction Design Foundation

We have moved from a world where computing is siloed and specialised, to a world where computing is ubiquitous and everyday. In many, if not most, parts of the world, networked computing is now mundane as both foreground (e.g., smartphones, tablets)... Read More about Human-data interaction.

The arpeggigon: declarative programming of a full-fledged musical application
Book
Nilsson, H., & Chupin, G. The arpeggigon: declarative programming of a full-fledged musical application. University of Nottingham

There are many systems and languages for music that essentially are declarative, often following the synchronous dataflow paradigm. As these tools, however, are mainly aimed at artists, their application focus tends to be narrow and their usefulness... Read More about The arpeggigon: declarative programming of a full-fledged musical application.

Interaction, instruments and performance: HCI and the design of future music technologies
Presentation / Conference Contribution
Chamberlain, A., Pestova, X., Bødker, M., Kallionpää, M., De Roure, D., & Benford, S. Interaction, instruments and performance: HCI and the design of future music technologies. Presented at Interaction, Instruments and Performance: HCI and the Design of Future Music Technologies

Rationale
There has been little chance for researchers, performers and designers in the UK to come together in order to explore the use and design of new and evolving technologies for performance. This workshop examines the interplay between people,... Read More about Interaction, instruments and performance: HCI and the design of future music technologies.

An “in the wild” longitudinal cross-site study of networked public displays user communities through situated snapshots
Presentation / Conference Contribution
Memarovic, N., Schieck, A. F. G., Schnädelbach, H., Kostopoulou, E., North, S., & Ye, L. An “in the wild” longitudinal cross-site study of networked public displays user communities through situated snapshots. Presented at Media Architecture Biennial 2016

Networked public displays are a new medium, and as such they can improve the quality and experience of urban spaces by providing new means to engage members of place-based communities. As they are located in different public spaces understanding comm... Read More about An “in the wild” longitudinal cross-site study of networked public displays user communities through situated snapshots.

Deep learning the dynamic appearance and shape of facial action units
Presentation / Conference Contribution
Jaiswal, S., & Valstar, M. F. Deep learning the dynamic appearance and shape of facial action units. Presented at Winter Conference on Applications of Computer Vision (WACV)

Spontaneous facial expression recognition under uncontrolled conditions is a hard task. It depends on multiple factors including shape, appearance and dynamics of the facial features, all of which are adversely affected by environmental noise and low... Read More about Deep learning the dynamic appearance and shape of facial action units.

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.