Now showing items 1-20 of 21

    • Engagement in HCI: Conception, Theory and Measurement 

      Doherty, Gavin (2019)
      Engaging users is a priority for designers of products and services of every kind. The need to understand users’ experiences has motivated a focus on user engagement across computer science. However, to date, there has ...
    • Evaluating the usability of a semantic environmental health data framework: approach and study 

      Navarro Gallinad, Albert; O'Sullivan, Declan; Orlandi, Fabrizio; Little, Mark (2023)
      Environmental exposures transported across air, land and water can affect our health making us more susceptible to developing a disease. Therefore, researchers need to face the complex task of integrating environmental ...
    • Exploring and Designing for Memory Impairments in Depression 

      Doherty, Gavin (ACM, 2019)
      Depression is an affective disorder with distinctive autobiographical memory impairments, including negative bias, overgeneralization and reduced positivity. Several clinical therapies address these impairments, and there ...
    • From CCS to CSP: the m-among-n Synchronisation Approach 

      Butterfield, Andrew; Ekembe Ngondi, Gerard; Koutavas, Vasileios (Open Publishing Association, 2022)
      We present an alternative translation from CCS to an extension of CSP based on m-among-n syn chronisation (called CSPmn). This translation is correct up to strong bisimulation. Unlike the g-star renaming approach ([4]), ...
    • HCI and Affective Health: Taking stock of a decade of studies and charting future research directions 

      Doherty, Gavin (ACM, 2019)
      In the last decade, the number of articles on HCI and health has increased dramatically. We extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of SIGCHI conference proceedings. 72 of these ...
    • HCI and Affective Health: Taking stock of a decade of studies and charting future research directions 

      Sanches, Pedro; Janson, Axel; Karpashevich, Pavel; Nadal, Camille; Qu, Chengcheng; Daudén Roquet, Claudia; Umair, Muhammad; Windlin, Charles; Doherty, Gavin; Höök, Kristina; Sas, Corina (ACM, 2019)
      In the last decade, the number of articles on HCI and health has increased dramatically. We extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of SIGCHI conference proceedings. 72 of these ...
    • HMM-based speech synthesis with an acoustic glottal source model 

      Cabral, Joao; Richmond, Korin; Yamagishi, Junichi; Renals, Steve (2009)
      A major cause of degradation of speech quality in HMMbased speech synthesis is the use of a simple delta pulse signal to generate the excitation of voiced speech. This paper describes a new approach to using an ...
    • Meta-Hyperband: Hyperparameter optimization with meta-learning and Coarse-to-Fine 

      Graux, Damien; Payrosangari, Samin; Sadeghi, Afshin; Lehmann, Jens (2020)
      Hyperparameter optimization is one of the main pillars of machine learning algorithms. In this paper, we introduce Meta-Hyperband: a Hyperband based algorithm that improves the hyperparameter optimization by adding levels ...
    • MINDS: a translator to embed mathematical expressions inside SPARQL queries 

      Graux, Damien; Sejdiu, Gezim; Stadler, Claus; Napolitano, Giulio; Lehmann, Jens (2020)
      The recent deployments of semantic web tools and the expansion of available linked datasets have given users the opportunity of building increasingly complex applications. These emerging use cases often require queries ...
    • ODRL Profile for Expressing Consent through Granular Access Control Policies in Solid 

      Pandit, Harshvardhan (2021)
      Solid, the emerging technology for organizing data in decentralized stores, relies on a simple authorization mechanism for granting access to data. Solid's personal online datastores (Pods) are ideal for keeping personal ...
    • On the Efficiency of Miniaturized 360° Beam-Scanning Antenna 

      Zandamela, Abel Abdul; Narbudowicz, Adam (IEEE, 2019)
      The efficiency and beam-scanning performance of a compact, beam reconfigurable antenna are presented. The proposed design provides a 360° reconfigurable bidirectional radiation pattern in the horizontal plane by using phase ...
    • An Ontology for Standardising Trustworthy AI 

      Lewis, David; Pandit, Harshvardhan (IntechOpen, 2021)
      Worldwide, there are a multiplicity of parallel activities being undertaken in developing international standards, regulations and individual organisational policies related to AI and its trustworthiness characteristics. ...
    • Probabilistic Color Modelling of Clothing Items 

      Al-Rawi, Mohammed; Beel, Joeran (2020)
      Color modelling and extraction is an important topic in fashion. It can help build a wide range of applications,for example, recommender systems, color-based retrieval, fashion design, etc. We aim to develop and test models ...
    • A real-time visual dashboard for Wikidata edits 

      Graux, Damien; Orlandi, Fabrizio; Lynch, Brian; Mahon, Isobel; Mullen, Odhran; Mahon, Alex; Molnar, Flora; Mantiquilla, Lexes (2020)
      During the last decades, the Web has seen the development of openly editable datasets on which users can suggest modifications at any moment. Recently, Wikidata as been the first large-scale Mediawiki-based dataset structured ...
    • The Semantic Combining for Exploration of Environmental and Disease Data Dashboard for Clinician Researchers 

      Navarro Gallinad, Albert (CEUR Workshop Proceedings, 2020)
      While Semantic Web technologies facilitate the integration of heterogeneous data sources through the Resource Description Frame-work (RDF) and ontologies, they present an obstacle for non-technical researchers who want to ...
    • Semantic Data Ingestion for Big Data Value-Driven Intelligent Analytics 

      Brennan, Rob; Debattista, Jeremy; Attard, Judie (IEEE, 2018)
      In this position paper we describe a conceptualmodel for intelligent Big Data analytics based on both semanticand machine learning AI techniques (called AI ensembles). Theseprocesses are linked to business outcomes ...
    • Semantic Schema Mapping for Interoperable Data-Exchange 

      Pandit, Harshvardhan; Orlandi, Fabrizio; O'Sullivan, Declan; Lewis, David (2020)
      GDPR’s Right to Data Portability requires data to be provided in an interoperable, commonly used, and machine-readable format and facilitates its transfer between controllers. However, a major challenge for such data ...
    • Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies 

      Al-Rawi, Mohammed; Beel, Joeran (2020)
      The fashion industry is looking forward to use artificial intelligence technologies to enhance their processes, services, and applications. Although the amount of fashion data currently in use is increasing,there is a large ...
    • Translation of CCS into CSP, Correct up to Strong Bisimulation 

      Butterfield, Andrew; Ekembe Ngondi, Gerard; Koutavas, Vasileios (Springer, 2021)
      We present a translation of CCS into CSP which is correct with respect to strong bisimulation. To our knowledge this is the first such translation to enjoy a correctness property. This contributes to the unification of the ...
    • Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity 

      Cahill, Vinny (2021)
      Multi-modal journey planning for large numbers of simultaneous travellers is a challenging prob- lem, particularly in the presence of limited transportation capacity. Fundamental trade-offs exist between balancing the ...