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  • Publications
  • 2012-2021
  • Open Access
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  • CORE (RIOXX-UK Aggregator)

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  • Publication . Part of book or chapter of book . 2013
    Open Access
    Authors: 
    Andrew Linn;
    Publisher: Oxford University Press

    Abstract This chapter deals with the processes by which the European vernaculars gained prestige vis-à-vis Latin from the late Middle Ages onwards. It addresses the “idea” of a standard language and how this has been advanced by particular actors and institutions across Europe, focusing primarily on the period from the Renaissance to the eighteenth century. It also considers whether standard languages are now outmoded concepts and suggests that we are now in a period characterized by destandardization.

  • Publication . Part of book or chapter of book . 2019
    Open Access
    Authors: 
    Korir, Maina; Mittelmeier, Jenna; Rienties, Bart C.;
    Publisher: Routledge

    This book chapter aims to explore the affordances and limitations of Mixed Methods Social Network Analysis (MMSNA) from an ethics perspective. In line with Ifenthaler and Schumacher (2016) we define ethics as “a system of fundamental principles and universal values of right conduct”. There may be substantial ethical considerations when conducting MMSNA research in comparison to more ’standard’ social science approaches: lack of anonymization; potential to identify non-respondents; and identification of “hidden” sub-groups. We will use one practical example to highlight potential ethical issues when conducting MMSNA research. We hope that by raising awareness of the potential ethical issues, researchers, practitioners, and the actual participants will become more mindful of the affordances and limitations of MMSNA research approaches.

  • Open Access
    Authors: 
    Asanga Nimalasena; Vladimir Getov;
    Publisher: Springer

    Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.

  • Publication . Part of book or chapter of book . 2019
    Open Access English
    Authors: 
    Dorey, Pete;
    Publisher: Centre for Comparative Politics and Media Research Bournemouth University
  • Open Access
    Authors: 
    Roman Shrestha; Cornelius Glackin; Julie Wall; Nigel Cannings;
    Publisher: Springer International Publishing

    Birds embody particular phonic and visual traits that distinguish them from 10,000 distinct bird species worldwide. Birds are also perceived to be indicators of biodiversity due to their propensity for responding to changes in their environment. An effective, automatic wildlife monitoring system based on bird bioacoustics, which can support manual classification, can be pivotal for the protection of the environment and endangered species. In modern machine learning, real-life bird audio classification is still considered as an esoteric challenge owing to the convoluted patterns present in bird song, and the complications that arise when numerous bird species are present in a common setting. Existing avian bioacoustic monitoring systems struggle when multiple bird species are present in an audio segment. To overcome these challenges, we propose a novel Faster Region-Based Convolutional Neural Network bird audio diarization system that incorporates object detection in the spectral domain and performs diarization of 50 bird species to effectively tackle the `which bird spoke when?' problem. Benchmark results are presented using the Bird Songs from Europe dataset achieving a Diarization Error Rate of 21.81, Jaccard Error Rate of 20.94 and F1, precision and recall values of 0.85, 0.83 and 0.87 respectively.

  • Open Access English
    Authors: 
    Gregory, Johann;
    Publisher: Société Française Shakespeare

    W .R. Elton explains that Shakespeare’s Troilus and Cressida has “been estimated [to contain] twice as many images of food, cooking and related matters as in any other of its author’s works”. This may seem surprising, until we realise that the play utilises the language of food to create a poetics of expectation and taste. Although Thersites’ performances are figured as a “cheese” to aid Achilles’ “digestion” that should be “served in to [his] table”, on the whole the drama is actually not consumed immediately by the audience. Rather, in a confusion of the senses, food becomes a visual metaphor for thinking an audience’s appetite for a play and other matters of taste. The audience is invited to watch Troilus and Cressida as a monster that eats up, in its jaws, the notion of chivalry and “glorious deeds” that past versions of the story – in epic and romance – had been so keen to emphasise; it is these past traditions, the prologue promises, which “may be digested in a play”. The paper seeks to discover whether the play leaves us with “fragments, scraps, the bits, and greasy relics” of past literature, or if Shakespeare was cooking up something else.

  • Open Access
    Authors: 
    Karandinou, A.;
    Publisher: Routledge
  • Publication . Part of book or chapter of book . Article . Preprint . 2019
    Open Access English
    Authors: 
    Angelo Antonio Salatino; Francesco Osborne; Thiviyan Thanapalasingam; Enrico Motta;
    Publisher: Springer

    Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of re-search areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods. Conference paper at TPDL 2019

  • Publication . Part of book or chapter of book . 2016
    Open Access
    Authors: 
    Leo Havemann;
    Publisher: Springer Singapore
    Country: United Kingdom

    Introduces the notion of OER and situates it within a wider open education movement, which has more recently seen a turn to the consideration of 'open educational practices'.

  • Publication . Part of book or chapter of book . 2016
    Open Access English
    Authors: 
    Hultgren, Anna Kristina;
    Publisher: Mouton de Gruyter
search
Include:
938 Research products, page 1 of 94
  • Publication . Part of book or chapter of book . 2013
    Open Access
    Authors: 
    Andrew Linn;
    Publisher: Oxford University Press

    Abstract This chapter deals with the processes by which the European vernaculars gained prestige vis-à-vis Latin from the late Middle Ages onwards. It addresses the “idea” of a standard language and how this has been advanced by particular actors and institutions across Europe, focusing primarily on the period from the Renaissance to the eighteenth century. It also considers whether standard languages are now outmoded concepts and suggests that we are now in a period characterized by destandardization.

  • Publication . Part of book or chapter of book . 2019
    Open Access
    Authors: 
    Korir, Maina; Mittelmeier, Jenna; Rienties, Bart C.;
    Publisher: Routledge

    This book chapter aims to explore the affordances and limitations of Mixed Methods Social Network Analysis (MMSNA) from an ethics perspective. In line with Ifenthaler and Schumacher (2016) we define ethics as “a system of fundamental principles and universal values of right conduct”. There may be substantial ethical considerations when conducting MMSNA research in comparison to more ’standard’ social science approaches: lack of anonymization; potential to identify non-respondents; and identification of “hidden” sub-groups. We will use one practical example to highlight potential ethical issues when conducting MMSNA research. We hope that by raising awareness of the potential ethical issues, researchers, practitioners, and the actual participants will become more mindful of the affordances and limitations of MMSNA research approaches.

  • Open Access
    Authors: 
    Asanga Nimalasena; Vladimir Getov;
    Publisher: Springer

    Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.

  • Publication . Part of book or chapter of book . 2019
    Open Access English
    Authors: 
    Dorey, Pete;
    Publisher: Centre for Comparative Politics and Media Research Bournemouth University
  • Open Access
    Authors: 
    Roman Shrestha; Cornelius Glackin; Julie Wall; Nigel Cannings;
    Publisher: Springer International Publishing

    Birds embody particular phonic and visual traits that distinguish them from 10,000 distinct bird species worldwide. Birds are also perceived to be indicators of biodiversity due to their propensity for responding to changes in their environment. An effective, automatic wildlife monitoring system based on bird bioacoustics, which can support manual classification, can be pivotal for the protection of the environment and endangered species. In modern machine learning, real-life bird audio classification is still considered as an esoteric challenge owing to the convoluted patterns present in bird song, and the complications that arise when numerous bird species are present in a common setting. Existing avian bioacoustic monitoring systems struggle when multiple bird species are present in an audio segment. To overcome these challenges, we propose a novel Faster Region-Based Convolutional Neural Network bird audio diarization system that incorporates object detection in the spectral domain and performs diarization of 50 bird species to effectively tackle the `which bird spoke when?' problem. Benchmark results are presented using the Bird Songs from Europe dataset achieving a Diarization Error Rate of 21.81, Jaccard Error Rate of 20.94 and F1, precision and recall values of 0.85, 0.83 and 0.87 respectively.

  • Open Access English
    Authors: 
    Gregory, Johann;
    Publisher: Société Française Shakespeare

    W .R. Elton explains that Shakespeare’s Troilus and Cressida has “been estimated [to contain] twice as many images of food, cooking and related matters as in any other of its author’s works”. This may seem surprising, until we realise that the play utilises the language of food to create a poetics of expectation and taste. Although Thersites’ performances are figured as a “cheese” to aid Achilles’ “digestion” that should be “served in to [his] table”, on the whole the drama is actually not consumed immediately by the audience. Rather, in a confusion of the senses, food becomes a visual metaphor for thinking an audience’s appetite for a play and other matters of taste. The audience is invited to watch Troilus and Cressida as a monster that eats up, in its jaws, the notion of chivalry and “glorious deeds” that past versions of the story – in epic and romance – had been so keen to emphasise; it is these past traditions, the prologue promises, which “may be digested in a play”. The paper seeks to discover whether the play leaves us with “fragments, scraps, the bits, and greasy relics” of past literature, or if Shakespeare was cooking up something else.

  • Open Access
    Authors: 
    Karandinou, A.;
    Publisher: Routledge
  • Publication . Part of book or chapter of book . Article . Preprint . 2019
    Open Access English
    Authors: 
    Angelo Antonio Salatino; Francesco Osborne; Thiviyan Thanapalasingam; Enrico Motta;
    Publisher: Springer

    Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of re-search areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods. Conference paper at TPDL 2019

  • Publication . Part of book or chapter of book . 2016
    Open Access
    Authors: 
    Leo Havemann;
    Publisher: Springer Singapore
    Country: United Kingdom

    Introduces the notion of OER and situates it within a wider open education movement, which has more recently seen a turn to the consideration of 'open educational practices'.

  • Publication . Part of book or chapter of book . 2016
    Open Access English
    Authors: 
    Hultgren, Anna Kristina;
    Publisher: Mouton de Gruyter
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