Now showing items 1-20 of 402

  • 4273π : bioinformatics education on low cost ARM hardware 

    Barker, Daniel; Ferrier, David Ellard Keith; Holland, Peter W.H.; Mitchell, John B. O.; Plaisier, Heleen; Ritchie, Michael Gordon; Smart, Steven D. (2013-08-12) - Journal article
    Background: Teaching bioinformatics at universities is complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. For a ...
  • Academic Cloud computing research : five pitfalls and five opportunities 

    Barker, Adam; Varghese, Blesson; Stuart Ward, Jonathan; Sommerville, Ian (USENIX, 2014-06-17) - Conference item
    This discussion paper argues that there are five fundamental pitfalls, which can restrict academics from conducting cloud computing research at the infrastructure level, which is currently where the vast majority of academic ...
  • Acceleration-as-a-Service : exploiting virtualised GPUs for a financial application 

    Varghese, Blesson; Prades, Javier; Reaño, Carlos; Silla, Federico (IEEE Computer Society, 2015-09-01) - Conference item
    How can GPU acceleration be obtained as a service in a cluster? This question has become increasingly significant due to the inefficiency of installing GPUs on all nodes of a cluster. The research reported in this paper ...
  • Achieving stable subspace clustering by post-processing generic clustering results 

    Pham, Duc-Son; Arandjelovic, Ognjen; Venkatesh, Svetha (IEEE, 2016-10-31) - Conference item
    We propose an effective subspace selection scheme as a post-processing step to improve results obtained by sparse subspace clustering (SSC). Our method starts by the computation of stable subspaces using a novel random ...
  • Ad hoc Cloud computing 

    McGilvary, Gary; Barker, Adam David; Atkinson, Malcolm (IEEE Computer Society, 2015) - Conference item
    This paper presents the first complete, integrated and end-to-end solution for ad hoc cloud computing en- vironments. Ad hoc clouds harvest resources from existing sporadically available, non-exclusive (i.e. primarily used ...
  • Adapting a computational multi agent model for humpback whale song research for use as a tool for algorithmic composition 

    Mcloughlin, Michael; Ingram, Simon; Rendell, Luke Edward; Lamoni, Luca Ubaldo; Kirke, Alexis; Garland, Ellen Clare; Noad, Michael; Miranda, Eduardo (Hochschule für Musik und Theater Hamburg, 2016-08-31) - Conference item
    Humpback whales (Megaptera Novaengliae) present one of the most complex displays of cultural transmission amongst non-humans. During breeding seasons, male humpback whales create long, hierarchical songs, which are shared ...
  • Adult dental anxiety : recent assessment approaches and psychological management in a dental practice setting 

    Humphris, Gerald Michael; Spyt, James; Herbison, Alice; Kelsey, Tom (2016-05) - Journal article
    Dental Anxiety of patients is a common feature of the everyday experience of dental practice. This article advocates the use of regular assessment of this psychological construct to assist in patient management. Various ...
  • Algorithmic aspects of natural language processing 

    Nederhof, Mark Jan; Satta, Giorgio (CRC Press, 2010) - Book item
  • Algorithms for optimising heterogeneous Cloud virtual machine clusters 

    Thai, Long Thanh; Varghese, Blesson; Barker, Adam David (IEEE, 2016-12-12) - Conference item
    It is challenging to execute an application in a heterogeneous cloud cluster, which consists of multiple types of virtual machines with different performance capabilities and prices. This paper aims to mitigate this challenge ...
  • All across the circle : using auto-ordering to improve object transfer between mobile devices 

    Li, Chengzhao; Gutwin, Carl; Stanley, Kevin; Nacenta, Miguel (Canadian Human-Computer Communications Society, 2016-06-01) - Conference item
    People frequently form small groups in many social and professional situations: from conference attendees meeting at a coffee break, to siblings gathering at a family barbecue. These ad-hoc gatherings typically form into ...
  • Analysing the history of autism spectrum disorder using topic models 

    Beykikhoshk, Adham; Phung, Dinh; Arandelovic, Ognjen; Venkatesh, Svetha (IEEE, 2016-10-17) - Conference item
    We describe a novel framework for the discovery of underlying topics of a longitudinal collection of scholarly data,and the tracking of their lifetime and popularity over time. Unlike the social media or news data, as the ...
  • Ancient Roman coin recognition in the wild using deep learning based recognition of artistically depicted face profiles 

    Schlag, Imanol; Arandelovic, Ognjen (IEEE, 2017-10-29) - Conference item
    As a particularly interesting application in the realm of cultural heritage on the one hand, and a technically challenging problem, computer vision based analysis of Roman Imperial coins has been attracting an increasing ...
  • Ancient Roman coin retrieval : a systematic examination of the effects of coin grade 

    Fare, Callum; Arandelovic, Ognjen (Springer, 2017-04-13) - Conference item
    Ancient coins are historical artefacts of great significance which attract the interest of scholars, and a large and growing number of amateur collectors. Computer vision based analysis and retrieval of ancient coins holds ...
  • Anti-Müllerian hormone serum concentrations of women with germline BRCA1 or BRCA2 mutations 

    Phillips, K-A; Collins, I M; Milne, R L; McLachlan, S A; Friedlander, M; Hickey, M; Stern, C; Hopper, J L; Fisher, R; Kannemeyer, G; Picken, S; Smith, C D; Kelsey, Thomas William; Anderson, R A (2016-05) - Journal article
    Study question: Do women with BRCA1 and BRCA2 mutations have reduced ovarian reserve, as measured by circulating anti-müllerian hormone (AMH) concentration?  Summary answer: Women with a germline mutation in BRCA1 have ...
  • An application of formal concept analysis to neural decoding 

    Endres, D M; Foldiak, Peter; Priss, U (CEUR-WS, 2008) - Conference item
    This paper proposes a novel application of Formal Concept Analysis (FCA) to neural decoding: the semantic relationships between the neural representations of large sets of stimuli are explored using concept lattices. In ...
  • Applications of real number theorem proving in PVS 

    Gottliebsen, Hanne; Hardy, Ruth; Lightfoot, Olga; Martin, Ursula (2013-11) - Journal article
    Real number theorem proving has many uses, particularly for verification of safety critical systems and systems for which design errors may be costly. We discuss a chain of developments building on real number theorem ...
  • An approach to ad hoc cloud computing 

    Kirby, Graham; Dearle, Alan; Macdonald, Angus; Fernandes, Alvaro (University of St Andrews, 2010-02-25) - Report
    We consider how underused computing resources within an enterprise may be harnessed to improve utilization and create an elastic computing infrastructure. Most current cloud provision involves a data center model, in which ...
  • Aptamer-conjugated, fluorescent gold nanorods as potential cancer theradiagnostic agents 

    Gallina, Maria Elena; Zhou, Yu; Johnson, Christopher J; Harris-Birtill, David; Singh, Mohan; Zhao, Hailin; Ma, Daqing; Cass, Tony; Elson, Daniel S (2016-02-01) - Journal article
    GNRs are emerging as a new class of probes for theradiagnostic applications thanks to their unique optical properties. However, the achievement of proper nanoconstructs requires the synthesis of highly pure GNRs with ...
  • ArchWare ADL release 1 : A user reference manual 

    Balasubramaniam, Dharini; Morrison, Ronald; Kirby, Graham Njal Cameron; Mickan, K; Norcross, Stuart John (ArchWare Project IST-2001-32360, 2004) - Report
    This documentation of deliverable D4.3 is intended to serve as a user reference manual for the first release of ArchWare ADL.
  • Are Clouds ready to accelerate ad hoc financial simulations? 

    Varghese, Blesson; Barker, Adam David (IEEE Computer Society, 2014-08-12) - Conference item
    Applications employed in the financial services industry to capture and estimate a variety of risk metrics are underpinned by stochastic simulations which are data, memory and computationally intensive. Many of these ...