• LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification 

      Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (Lecture Notes in Computer Science;Volume 12606, Conference object, 2021-02-21)
      Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. ...
    • The Limitations of European Comparative Studies in Vocational Education and Training Research and the Development of a Perspective to their Reduction 

      Isacsson, Annica; Brevik, Birger; Struck, Philipp; Pons, Andrea (Conference object, 2021-03-31)
      Empirical foundation or the current challenges and issues in the European comparative studies. Some challenges were spotted in a recent comparative VET study and questionnaire (by Kaiser, Struck & Frind, 2020) related to ...
    • Limiting Experience and Cognition by Flexibility, Interaction Design and Cybernetics 

      Gulden, Tore; Steier, Frederick (Communications in Computer and Information Science;Volume 1293, Conference object, 2020-11-08)
      In this paper, we discuss how flexibility in interaction design processes may lead to hinder flexibility in user praxis and thus cognition, experience, and behaviour, and for design praxis circuits and functioning, and the ...
    • Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case 

      Tan, Zhipeng; Zhou, Baifan; Zheng, Zhuoxun; Savkovic, Ognjen; Huang, Ziqiang; Gonzalez, Irlan-Grangel; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ...
    • Locality-Aware Workflow Orchestration for Big Data 

      Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (MEDES: Management of Emergent Digital EcoSystems;MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Conference object, 2021-11-09)
      The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that ...
    • Lost in OCR-Translation: Pixel-based Text Reflow to the Rescue: Magnification of Archival Raster Image Documents in the Browser without Horizontal Scrolling 

      Sandnes, Frode Eika (ETRA: Pervasive Technologies Related to Assistive Environments;PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, Conference object, 2022-07-11)
      Low-vision users have been accustomed to viewing accessible electronic documents with reflow and responsive layouts that adapt to the user’s text size requirements. However, mainstream technologies do not work optimally ...
    • A low-cost wave/solar powered unmanned surface vehicle 

      Elkolali, Moustafa; Al-Tawil, Ahmed; Much, Lennard; Schrader, Ryan; Masset, Olivier; Sayols, Marina; Jenkins, Andrew; Alonso, Sara; Carella, Alfredo; Alcocer, Alex (OCEANS;Global Oceans 2020: Singapore – U.S. Gulf Coast, Conference object, 2021)
      This paper presents a prototype of a low-cost Unmanned Surface Vehicle (USV) that is operated by wave and solar energy which can be used to minimize the cost of ocean data collection. The current prototype is a compact ...
    • Man vs. AI: An in silico study of polyp detection performance 

      Smedsrud, Pia Helen; Espeland, Håvard; Berstad, Tor Jan; Petlund, Andreas; de Lange, Thomas; Riegler, Michael; Halvorsen, Pål (Annual IEEE Symposium on Computer-Based Medical Systems;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      AI-based colon polyp detection systems have received much attention, and several products and prototypes report good results. In silico verification is a crucial step when developing such systems, but very few compare human ...
    • Mask-conditioned latent diffusion for generating gastrointestinal polyp images 

      Macháček, Roman; Mozaffari, Leila; Sepasdar, Zahra; Parasa, Sravanthi; Halvorsen, Pål; Riegler, Michael; Thambawita, Vajira L B; Machacek, Roman (ICDAR: Intelligent Cross-Data Analysis and Retrieval;, Chapter; Peer reviewed; Conference object, 2023)
      In order to take advantage of artificial intelligence (AI) solutions in endoscopy diagnostics, we must overcome the issue of limited annotations. These limitations are caused by the high privacy concerns in the medical ...
    • The mathematics teacher educator as broker: boundary learning. 

      Eriksen, Elisabeta Iuliana; Solomon, Yvette (CERME Proceedings Series;Proceedings of the Twelfth Congress of the European Society for Research in Mathematics Education, Conference object, 2022)
      We analyse how two co-teaching mathematics teacher educators (MTEs) describe and justify the enactment of their theory of change in a course for practicing teachers. Applying concepts from Communities of Practice, we ...
    • Mind Your Step: A Diary Study of a Person with Visual Impairment Navigating a City with a Smart Cane 

      Kuriakose, Bineeth; Cosescu, Irina; Shrestha, Raju; Sandnes, Frode Eika (Communications in Computer and Information Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Several studies have documented the navigation requirements and preferences of people with visual impairments. The primary methods used in such studies were interviews and surveys. With the same goal, this study employed ...
    • Minimum Equivalence in Random Boolean Networks, Elementary Cellular Automata, and Beyond 

      Glover, Tom Eivind; Jahren, Christian Ruben; Huse Ramstad, Ola; Nichele, Stefano (Peer reviewed; Conference object, 2023)
      Random Boolean networks (RBN) and Cellular Automata (CA) operate in a very similar way. They update their state with simple deterministic functions called Boolean function or Transition Table (TT), both being essentially ...
    • Modelling privacy harms of compromised personal medical data - beyond data breach 

      Wairimu, Samuel; Fritsch, Lothar (Conference object, 2022-08-23)
      What harms and consequences do patients experience after a medical data breach? This article aims at the improvement of privacy impact analysis for data breaches that involve personal medical data. The article has two major ...
    • Mostly dry: current ventilation practice efficiently limits moisture excess in mechanically ventilated apartments 

      Coskuntuna, Salih Berkay; Kraniotis, Dimitrios; Barnoshian, Siavash; Holøs, Sverre Bjørn; Thunshelle, Kari (CLIMA 2022;The 14th REHVA HVAC World Congress, Conference object, 2022-05-20)
      The current Norwegian building code (TEK 17) requires the new residential buildings to have balanced ventilation with heat recovery, in addition to the strict regulations regarding thermal performance and airtightness of ...
    • Moving Element Analysis of Maglev Train Over Multi-span Elevated Bridge 

      Dai, Jian; Joshua Guan Yi, Lim; Kok Keng, Ang (Mechanisms and Machine Science;, Chapter; Peer reviewed; Conference object; Journal article, 2022)
      Maglev trains are modern railway transport systems that utilize non-contact magnetic forces for levitation and propulsion. Owing to the advantage of being wear-free, they can travel at a speed that is much higher than ...
    • Multimedia Datasets: Challenges and Future Possibilities 

      Nguyen, Thu; Storås, Andrea; Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål; Riegler, Michael Alexander (Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Public multimedia datasets can enhance knowledge discovery and model development as more researchers have the opportunity to contribute to exploring them. However, as these datasets become larger and more multimodal, besides ...
    • Multimedia streaming analytics: quo vadis? 

      Midoglu, Cise; Avelino, Mariana; Gopalakrishnan, Shri Hari; Pham, Stefan; Halvorsen, Pål (MHV: Mile-High Video;MHV '22: Proceedings of the 1st Mile-High Video Conference, Conference object, 2022)
      In today’s complex OTT multimedia streaming ecosystem, the task of ensuring the best streaming experience to end-users requires extensive monitoring, and such monitoring information is relevant to various stakeholders ...
    • Norwegian primary teacher education: Prospective teachers' responses to short written feedback 

      Kjensli, Grethe; Nordby, Siri Krogh; Sundtjønn, Trude Pedersen (CERME Proceedings Series;, Conference object, 2022)
      This paper reports on a project in a mathematics course for prospective teachers, where the teacher educator modelled feedback based on formative assessment principles. We analyse and discuss the prospective teachers’ ...
    • Numerical analysis of the performance of green façades 

      Poupart, Frédéric; Martine, Oda; Christiansen, Sundsdal Marianne; Melhus, Ole; Chaudhuri, Arnab (Linköping Electronic Conference Proceedings;No. 176: Proceedings of The 61st SIMS Conference on Simulation and Modelling, SIMS 2020, Conference object, 2021-03-03)
      This study reports a numerical analysis of the performance of green façades in different geographical locations and seasonal conditions. A mathematical model from a previous study is implemented and combined with the ...
    • Numerical analysis of the performance of green façades 

      Poupart, Frédéric; Sundsdal, Oda Martine; Christiansen, Marianne; Melhus, Ole; Chaudhuri, Arnab (Linköping Electronic Conference Proceedings;No. 176, Conference object, 2021)
      This study reports a numerical analysis of the performance of green façades in different geographical locations and seasonal conditions. A mathematical model from a previous study is implemented and combined with the ...