• Autonomous yet moral machines 

      Slavkovik, Marija (Peer reviewed; Journal article, 2019)
      Autonomous machines, both software and embodied artificial intelligent (AI) agents, will continue to relieve us of the burden that are monotone, repetitive, or dangerous tasks. The more autonomous machines inhabit our ...
    • Challenges and Opportunities for Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2020)
      Journalism is under pressure from loss of advertisement and revenues, while experiencing an increase in digital consumption and user demands for quality journalism and trusted sources. Journalistic Knowledge Platforms ...
    • Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface 

      Berge, Arngeir; Sjøen, Vegard Velle; Starke, Alain; Trattner, Christoph (Journal article; Peer reviewed, 2021)
      Salt is consumed at too high levels in the general population, causing high blood pressure and related health problems. In this paper, we present results of ongoing research that tries to reduce salt intake via technology ...
    • Construction of a relevance knowledge graph with application to the LOCAL news angle 

      Tessem, Bjørnar; Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2023)
      News angles are approaches to journalism content often used to provide a way to present a new report from an event. One particular type of news angle is the LOCAL news angle where a local news outlet focuses on an event ...
    • Data Privacy in Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Al-Moslmi, Tareq; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2020)
      Journalistic knowledge platforms (JKPs) leverage data from the news, social media and other sources. They collect large amounts of data and attempt to extract potentially news-relevant information for news production. At ...
    • Developing a Software Reference Architecture for Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2021)
      For news organizations to survive and thrive in today’s media landscape, they must utilize big data and artificial intelligence technologies effectively. News organizations that want to exploit techniques like machine ...
    • An evaluation of recommendation algorithms for online recipe portals 

      Trattner, Christoph; Elsweiler, David (Peer reviewed; Journal article, 2019)
      Better models of food preferences are required to realise the oft touted potential of food recommenders to aid with the obesity crisis. Many of the food recommender evaluations in the literature have been performed with ...
    • LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System 

      Van, Tu-ninh; Le, Tu-Khiem; Zhou, Liting; Piras, Luca; Riegler, Michael; Lux, Mathias; Tran, Minh-Triet; Gurrin, Cathal; Dang Nguyen, Duc Tien (Peer reviewed; Journal article, 2019)
      This paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My Life Puzzle (Puzzle) and Lifelog Moment Retrieval (LMRT) tasks. We proposed to use LIFER 2.0, an enhanced version of LIFER, ...
    • Lifting news into a journalistic knowledge platform 

      Al-Moslmi, Tareq; Gallofré Ocaña, Marc (Journal article; Peer reviewed, 2020)
      A massive amount of news is being shared online by individuals and news agencies, making it difficult to take advantage of these news and analyse them in traditional ways. In view of this, there is an urgent need to use ...
    • Medico multimedia task at MediaEval 2018 

      Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Hicks, Steven; Randel, Kristin Ranheim; Dang Nguyen, Duc Tien; Lux, Mathias; Ostroukhova, Olga; de Lange, Thomas (Peer reviewed; Journal article, 2018-12-22)
      The Medico: Multimedia for Medicine Task, running for the second time as part of MediaEval 2018, focuses on detecting abnormalities, diseases, anatomical landmarks and other findings in images captured by medical devices ...
    • Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data 

      Le, Tu-Khiem; Ninh, Van-Tu; Zhou, Liting; Nguyen-Ngoc, Minh-Huy; Piras, Luca; Riegler, Michael Alexander; Halvorsen, Pål; Lux, Mathias; Tran, Minh-Triet; Healy, Graham; Gurrin, Cathal; Dang Nguyen, Duc Tien (Journal article; Peer reviewed, 2020)
      For the LMRT task at ImageCLEFlifelog 2020, LIFER 3.0, a new version of the LIFER system with improvements in the user interface and system affordance, is used and evaluated via feedback from a user experiment. In addition, ...
    • Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval 

      Dang Nguyen, Duc Tien; Piras, Luca; Riegler, Michael; Zhou, Liting; Lux, Mathias; Tran, Minh Triet; Le, Tu-Khiem; Ninh, Van-Tu; Gurrin, Cathal (Peer reviewed; Journal article, 2019)
      This paper describes ImageCLEFlifelog 2019, the third edition of the Lifelog task. In this edition, the task was composed of two subtasks (challenges): the Lifelog Moments Retrieval (LMRT) challenge that followed the same ...
    • Towards a Big Data Platform for News Angles 

      Gallofré Ocaña, Marc; Nyre, Lars; Opdahl, Andreas Lothe; Tessem, Bjørnar; Trattner, Christoph; Veres, Csaba (Peer reviewed; Journal article, 2019)
      Finding good angles on news events is a central journalistic and editorial skill. As news work becomes increasingly computer-assisted and big-data based, journalistic tools therefore need to become better able to support ...
    • Using Visual and Linguistic Framing to Support Sustainable Decisions in an Online Store 

      Starke, Alain Dominique; Emami, Kimia; Makarová, Andrea; Ferwerda, Bruce (Journal article; Peer reviewed, 2023)
      Companies face several digital communication challenges when it comes to promoting green products or services. The framing effect, which refers to the presentation of information, can significantly influence decision-making ...