Browsing Bergen Open Research Archive by Journals "IEEE Access"

Now showing items 1-11 of 11

    • Adaptive Systems for Internet-Delivered Psychological Treatments 

      Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Internet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase ...

    • Affect Recognition in Muscular Response Signals 

      Boeker, Matthias; Jakobsen, Petter; Riegler, Michael; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål; Hammer, Hugo Lewi (Journal article; Peer reviewed, 2023)
      This study investigated the potential of recognising arousal in motor activity collected by wrist-worn accelerometers. We hypothesise that emotional arousal emerges from the generalised central nervous system which embeds ...

    • Analysis and Design of Computational News Angles 

      Motta, Enrico; Daga, Enrico; Opdahl, Andreas Lothe; Tessem, Bjørnar (Journal article; Peer reviewed, 2020)
      A key skill for a journalist is the ability to assess the newsworthiness of an event or situation. To this purpose journalists often rely on news angles, conceptual criteria that are used both i) to assess whether something ...

    • Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021 

      Tran, Ly-Duyen; Nguyen, Manh-Duy; Dang Nguyen, Duc Tien; Heller, Silvan; Spiess, Florian; Lokoc, Jakub; Peska, Ladislav; Nguyen, Thao-Nhu; Khan, Omar Shahbaz; Duane, Aaron; Jonsson, Bjorn Por; Rossetto, Luca; Yen, An-Zi; Alateeq, Ahmed; Alam, Naushad; Tran, Minh-Triet; Healy, Graham; Schoeffmann, Klaus; Gurrin, Cathal (Journal article; Peer reviewed, 2023)
      The Lifelog Search Challenge (LSC) is an interactive benchmarking evaluation workshop for lifelog retrieval systems. The challenge was first organised in 2018 aiming to find the system that can quickly retrieve relevant ...

    • Evaluating the Effectiveness of GPT Large Language Model for News Classification in the IPTC News Ontology 

      Fatemi, Bahareh; Rabbi, Fazle; Opdahl, Andreas Lothe (Peer reviewed; Journal article, 2023)
      News classification plays a vital role in newsrooms, as it involves the time-consuming task of categorizing news articles and requires domain knowledge. Effective news classification is essential for categorizing and ...

    • Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data 

      Aminifar, Amin; Matin, Shokri; Rabbi, Fazle; Pun, Violet Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2022)
      Artificial intelligence and machine learning have recently attracted considerable attention in the healthcare domain. The data used by machine learning algorithms in healthcare applications is often distributed over multiple ...

    • Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects 

      Zollner, Frank G.; Kocinski, Marek Michal; Hansen, Laura; Golla, Alena-Kathrin; Trbalic, Amira Serifovic; Lundervold, Arvid; Materka, Andrzej; Rogelj, Peter (Journal article; Peer reviewed, 2021)
      Magnetic resonance imaging has achieved an increasingly important role in the clinical work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters have been proposed to diagnose CKD among them ...

    • Large Language Models are Not Models of Natural Language: They are Corpus Models 

      Veres, Csaba (Journal article; Peer reviewed, 2022)
      Natural Language Processing (NLP) has become one of the leading application areas in the current Artificial Intelligence boom. Transfer learning has enabled large deep learning neural networks trained on the language ...

    • Morphological filter detector for image forensics applications 

      Boato, Giulia; Dang Nguyen, Duc Tien; De Natale, Francesco G.B. (Journal article; Peer reviewed, 2020)
      Mathematical morphology provides a large set of powerful non-linear image operators, widely used for feature extraction, noise removal or image enhancement. Although morphological filters might be used to remove artifacts ...

    • Named Entity Extraction for Knowledge Graphs: A Literature Overview 

      Al-Moslmi, Tareq Abdo Abdullah; Gallofré Ocaña, Marc; Opdahl, Andreas Lothe; Veres, Csaba (Journal article; Peer reviewed, 2020)
      An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in ...

    • Visual User-Generated Content Verification in Journalism: An Overview 

      Khan, Sohail Ahmed; Sheikhi, Ghazaal; Opdahl, Andreas Lothe; Rabbi, Fazle; Stoppel, Sergej; Trattner, Christoph; Dang Nguyen, Duc Tien (Journal article; Peer reviewed, 2023)
      Over the past few years, social media has become an indispensable part of the news generation and dissemination cycle on the global stage. These digital channels along with the easy-to-use editing tools have unfortunately ...