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All Outputs (65)

Placebooks: Participation, Community, Design, and Ubiquitous Data Aggregation ‘In the Wild’ (2013)
Conference Proceeding
Chamberlain, A., Crabtree, A., Davies, M., Glover, K., Reeves, S., Tolmie, P., & Jones, M. (2013). Placebooks: Participation, Community, Design, and Ubiquitous Data Aggregation ‘In the Wild’. In Human Interface and the Management of Information. Information and Interaction Design; Lecture Notes in Computer Science (411-420). https://doi.org/10.1007/978-3-642-39209-2_47

This paper outlines and describes the development of a multi-media data aggregation system called Placebooks. Placebooks was developed as a ubiquitous toolkit aimed at allowing people in rural areas to create and share digital books that contained a... Read More about Placebooks: Participation, Community, Design, and Ubiquitous Data Aggregation ‘In the Wild’.

Generalizations of Hedberg’s Theorem (2013)
Conference Proceeding
Kraus, N., Escardó, M., Coquand, T., & Altenkirch, T. (2013). Generalizations of Hedberg’s Theorem. In Typed Lambda Calculi and Applications: 11th International Conference, TLCA 2013, Eindhoven, The Netherlands, June (173-188). https://doi.org/10.1007/978-3-642-38946-7_14

As the groupoid interpretation by Hofmann and Streicher shows, uniqueness of identity proofs (UIP) is not provable. Generalizing a theorem by Hedberg, we give new characterizations of types that satisfy UIP. It turns out to be natural in this context... Read More about Generalizations of Hedberg’s Theorem.

Infobiotics workbench: a P systems based tool for systems and synthetic biology (2013)
Book Chapter
Blakes, J., Twycross, J., Konur, S., Romero-Campero, F. J., Krasnogor, N., & Gheorghe, M. (2014). Infobiotics workbench: a P systems based tool for systems and synthetic biology. In Applications of membrane computing in systems and synthetic biology. Springer International Publishing. https://doi.org/10.1007/978-3-319-03191-0_1

This chapter gives an overview of an integrated software suite, the Infobiotics Workbench, which is based on a novel spatial discrete-stochastic P systems modelling framework. The Workbench incorporates three important features, simulation, model che... Read More about Infobiotics workbench: a P systems based tool for systems and synthetic biology.

Understanding mass participatory pervasive computing systems for environmental campaigns (2013)
Journal Article
Chamberlain, A., Paxton, M., Glover, K., Flintham, M., Price, D., Benford, S., …Greenhalgh, C. (2014). Understanding mass participatory pervasive computing systems for environmental campaigns. Personal and Ubiquitous Computing, 18(7), https://doi.org/10.1007/s00779-013-0756-x

Participate was a 3-year collaboration between industry and academia to explore how mobile, Web and broadcast technologies could combine to deliver environ- mental campaigns. In a series of pilot projects, schools used mobile sensors to enhance scien... Read More about Understanding mass participatory pervasive computing systems for environmental campaigns.

Hyper-heuristics: a survey of the state of the art (2013)
Journal Article
Burke, E., Gendreau, M., Hyde, M., Kendall, G., Ocha, G., Özcan, E., & Qu, R. (2013). Hyper-heuristics: a survey of the state of the art. Journal of the Operational Research Society, 64, https://doi.org/10.1057/jors.2013.71

Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of automating the design of heuristic methods to solve hard computational search problems. An underlying strategic research challenge is to develop more g... Read More about Hyper-heuristics: a survey of the state of the art.

Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology (2013)
Journal Article
Swan, A. L., Mobasheri, A., Allaway, D., Liddell, S., & Bacardit, J. (2013). Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology. OMICS, 17(12), https://doi.org/10.1089/omi.2013.0017

Mass spectrometry is an analytical technique for the characterization of biological samples and is increasingly used in omics studies because of its targeted, nontargeted, and high throughput abilities. However, due to the large datasets generated, i... Read More about Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.

Comparison of algorithms that detect drug side effects using electronic healthcare databases (2013)
Journal Article
Reps, J. M., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2013). Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Computing, 17(12), https://doi.org/10.1007/s00500-013-1097-4

The electronic healthcare databases are starting to become more readily available and are thought to have excellent potential for generating adverse drug reaction signals. The Health Improvement Network (THIN) database is an electronic healthcare dat... Read More about Comparison of algorithms that detect drug side effects using electronic healthcare databases.

300 Faces in-the-Wild Challenge: the first facial landmark localization challenge (2013)
Conference Proceeding
Sagonas, C., Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2013). 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge.

Automatic facial point detection plays arguably the most important role in face analysis. Several methods have been proposed which reported their results on databases of both constrained and unconstrained conditions. Most of these databases provide a... Read More about 300 Faces in-the-Wild Challenge: the first facial landmark localization challenge.

Indoors and outdoors: designing mobile experiences for Cité de l’espace (2013)
Book Chapter
Rennick-Egglestone, S., Roussou, M., Brundell, P., Chaffardon, C., Kourtis, V., Koleva, B., & Benford, S. (2013). Indoors and outdoors: designing mobile experiences for Cité de l’espace. In Proceedings of NODEM 2013. NODEM

The CHESS project has been working with Cité de l’espace, a space technology centre, to explore the use of tablets and mobile phones to deliver visitor experiences that integrate across multiple experiences. In this paper, we articulate three key cha... Read More about Indoors and outdoors: designing mobile experiences for Cité de l’espace.

Usability of Geographic Information: current challenges and future directions (2013)
Journal Article
Brown, M., Sharples, S., Harding, J., Parker, C., Bearman, N., Maguire, M., …Jackson, M. (2013). Usability of Geographic Information: current challenges and future directions. Applied Ergonomics, 44(6), https://doi.org/10.1016/j.apergo.2012.10.013

The use of Geographic Information or GI, has grown rapidly in recent years. Previous research has identified the importance of usability and user centred design in enabling the proliferation and exploitation of GI. However, the design and developme... Read More about Usability of Geographic Information: current challenges and future directions.

Aircraft taxi time prediction: comparisons and insights (2013)
Journal Article
Ravizza, S., Chen, J., Atkin, J. A., Stewart, P., & Burke, E. K. (2014). Aircraft taxi time prediction: comparisons and insights. Applied Soft Computing, 14(C), https://doi.org/10.1016/j.asoc.2013.10.004

The predicted growth in air transportation and the ambitious goal of the European Commission to have on-time performance of flights within 1 min makes efficient and predictable ground operations at airports indispensable. Accurately predicting taxi t... Read More about Aircraft taxi time prediction: comparisons and insights.

Reputation aware obfuscation for mobile opportunistic networks (2013)
Journal Article
Radenkovic, M., Benslimane, A., & McAuley, D. (2015). Reputation aware obfuscation for mobile opportunistic networks. IEEE Transactions on Parallel and Distributed Systems, 26(1), 230-240. https://doi.org/10.1109/TPDS.2013.265

© 2013 IEEE. Current anonymity techniques for mobile opportunistic networks typically use obfuscation algorithms to hide node's identity behind other nodes. These algorithms are not well suited to sparse and disconnection prone networks with large nu... Read More about Reputation aware obfuscation for mobile opportunistic networks.

Automatic generation of statistical pose and shape models for articulated joints (2013)
Journal Article
Chen, X., Graham, J., Hutchinson, C., & Muir, L. (2013). Automatic generation of statistical pose and shape models for articulated joints. IEEE Transactions on Medical Imaging, 33(2), https://doi.org/10.1109/TMI.2013.2285503

Statistical analysis of motion patterns of body joints is potentially useful for detecting and quantifying pathologies. However, building a statistical motion model across different subjects remains a challenging task, especially for a complex joint... Read More about Automatic generation of statistical pose and shape models for articulated joints.

Face hallucination based on sparse local-pixel structure (2013)
Journal Article
Li, Y., Cai, C., Qiu, G., & Lam, K. (2014). Face hallucination based on sparse local-pixel structure. Pattern Recognition, 47(3), 1261-1270. https://doi.org/10.1016/j.patcog.2013.09.012

In this paper, we propose a face-hallucination method, namely face hallucination based on sparse local-pixel structure. In our framework, a high resolution (HR) face is estimated from a single frame low resolution (LR) face with the help of the facia... Read More about Face hallucination based on sparse local-pixel structure.

A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery (2013)
Journal Article
Reps, J. M., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2014). A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE Journal of Biomedical and Health Informatics, 18(2), 537-547. https://doi.org/10.1109/JBHI.2013.2281505

Drugs are frequently prescribed to patients with the aim of improving each patient's medical state, but an unfortunate consequence of most prescription drugs is the occurrence of undesirable side effects. Side effects that occur in more than one in a... Read More about A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery.