• Exchange energies with forces in density-functional theory 

      Tancogne-Dejean, Nicolas; Penz, Markus; Laestadius, Andre; Csirik, Mihaly Andras; Ruggenthaler, Michael; Rubio, Angel (Peer reviewed; Journal article, 2024)
      We propose exchanging the energy functionals in ground-state density-functional theory with physically equivalent exact force expressions as a new promising route toward approximations to the exchange–correlation potential ...
    • Exchange-only virial relation from the adiabatic connection 

      Laestadius, Andre; Csirik, Mihaly Andras; Penz, Markus; Tancogne-Dejean, Nicolas; Ruggenthaler, Michael; Rubio, Angel; Helgaker, Trygve (Peer reviewed; Journal article, 2024)
      The exchange-only virial relation due to Levy and Perdew is revisited. Invoking the adiabatic connection, we introduce the exchange energy in terms of the right-derivative of the universal density functional w.r.t. the ...
    • Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch 

      Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object, 2022)
      With the development of Industry 4.0 technology, modern industries such as Bosch’s welding monitoring witnessed the rapid widespread of machine learning (ML) based data analytical applications, which in the case of welding ...
    • ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics 

      Zhuoxun, Zheng; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (CIKM: Conference on Information and Knowledge Management;, Chapter; Peer reviewed; Conference object, 2022)
      Data analytics including machine learning (ML) is essential to extract insights from production data in modern industries. However, industrial ML is affected by: the low transparency of ML towards non-ML experts; poor and ...
    • Experience with the use of a digital sleep diary in symptom management by individuals with insomnia -a pilot mixed method study 

      Thorshov, Thea Christine; Øverby, Caroline Tonje; Hansen, Diana Dobran; Bong, Way Kiat; Skifjeld, Knut; Hurlen, Petter; Dammen, Toril; Moen, Anne; Hrubos-Strøm, Harald (Peer reviewed; Journal article, 2023)
      Background: Insomnia is the most common sleep disorder. The recommended treatment is cognitive behavioural therapy for insomnia (CBTi). A sleep diary is a core tool in CBTi. We have developed a digital sleep diary with ...
    • Experiences and challenges of international students in technology-rich learning environments 

      Habib, Laurence Marie Anna; Johannesen, Monica; Øgrim, Leikny (Educational Technology & Society;17(2), Journal article; Peer reviewed, 2013)
      This article presents a study of international students and their use of technology in a Scandinavian institution of Higher Education. A special emphasis is placed on patterns of use of a virtual learning environment (VLE) ...
    • Experiences of Parents and Teachers with Virtual Classrooms during the COVID-19 Restrictions: A Study Focusing on Inclusive Education in Malaysia 

      Phua, Chu Yun; Chua, Kah Heng; Bong, Way Kiat (Education Sciences;Volume 12 / Issue 12, Peer reviewed; Journal article, 2022-12-01)
      The COVID-19 pandemic has resulted in emergency remote teaching in many countries. In Malaysia, not all households were prepared for remote teaching. This has caused some groups of students to be left out. Therefore, in ...
    • Experiences Teaching Norwegian Engineering Students from a Taiwanese Perspective 

      Jian, Hua-Li (International journal of engineering education;27 (2), Journal article; Peer reviewed, 2011)
      This paper presents the experiences and observations of a Taiwanese scholar teaching engineering students in Norway for one semester. Many important cultural differences were found both in terms of student behaviour and ...
    • Experiences using three app prototyping tools with different levels of fidelity from a product design student’s perspective 

      Figliolia, Amanda Coelho; Sandnes, Frode Eika; Medola, Fausto Orsi (Lecture Notes in Computer Science;12555, Conference object, 2020-11-18)
      Prototyping has become a widely embraced technique in different design fields to facilitate early user involvement to ensure that the end-product meets the users’ needs. Each design field has its tools and traditions for ...
    • Experiences with RFID-Based Interactive Learning in Museums 

      Huang, Yo-Ping; Chang, Yueh-Tsun; Sandnes, Frode Eika (International Journal of Autonomous and Adaptive Communications Systems;3 (1), Journal article; Peer reviewed, 2010)
      Tourism plays an important role in the economies of many countries. Tourism can secure employment, foreign exchange earnings, investment and regional development. To attract more tourists and local visitors, many stakeholders ...
    • An experimental comparison of evolved neural network models for controlling simulated modular soft robots 

      Nadizar, Giorgia; Medvet, Eric; Nichele, Stefano; Pontes Filho, Sidney (Peer reviewed; Journal article, 2023)
      Voxel-based soft robots (VSRs) are a type of modular robots composed by interconnected soft and deformable blocks, i.e., voxels. Thanks to the softness of their bodies, VSRs may exhibit rich dynamic behaviors. One open ...
    • Explaining deep neural networks for knowledge discovery in electrocardiogram analysis 

      Hicks, Steven; Isaksen, Jonas L; Thambawita, Vajira L B; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Strumke, Inga; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Halvorsen, Pål; Maleckar, Mary Margot Catherine; Riegler, Michael; Kanters, Jørgen K (Scientific Reports;11, Article number: 10949 (2021), Peer reviewed; Journal article, 2021-05-26)
      Deep learning-based tools may annotate and interpret medical data more quickly, consistently, and accurately than medical doctors. However, as medical doctors are ultimately responsible for clinical decision-making, any ...
    • Exploration of computational thinking based on bebras performance in webduino programming by high school students 

      Chen, Jian-Ming; Wu, Ting-Ting; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 11003; Innovative technologies and learning, Journal article; Peer reviewed, 2018-09-06)
      The 12-year Basic Education Curriculum Guidelines by the Ministry of Education in Taiwan includes learning performances related to computational thinking and programming languages in technology courses. The students will ...
    • Exploring AI Literacy Among Older Adults 

      Kaur, Amrat; Chen, Weiqin (Peer reviewed; Journal article, 2023)
    • Exploring Circular Hough Transforms for Detecting Hand Feature Points in Noisy Images from Ghost-Circle Patterns 

      Sandnes, Frode Eika (Chapter, 2021-03-15)
      Several applications involve the automatic analysis of hand images such as biometry, digit-ratio measurements, and gesture recognition. A key problem common to these applications is the separation of hands from the background. ...
    • Exploring Human Cognition From Eye-Movements: Is There Unconscious Visual Information? 

      Mathema, Rujeena; Lind, Pedro; Lencastre, Pedro (Chapter, 2024)
      In this study, we investigate whether fast-vanishing visual stimuli can carry information that affects human behavior, even when in- dividuals report not seeing it. The impact of fast-vanishing cues on oculomotor functions ...
    • Exploring Interpretable AI Methods for ECG Data Classification 

      Ojha, Jaya; Haugerud, Hårek; Yazidi, Anis; Lind, Pedro (Chapter, 2024)
      We address ECG data classification, using methods from explainable artificial intelligence (XAI). In particular, we focus on the extended performance of the ST-CNN-5 model compared to established mod- els. The model ...
    • Exploring learning behavior transformation patterns in an AR English system: A study of gender differences 

      Huang, Yu-Che; Wu, Ting-Ting; Huang, Yueh-Ming; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 11003; Innovative technologies and learning, Journal article; Peer reviewed, 2018-09-06)
      The aim of this research is to explore learners' learning behavior differences in a customized augmented reality (AR) English learning system (CARELS) by analyzing the learners' behavioral history. The results show that ...
    • Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian 

      Aaby, Pernille; Biermann, Daniel; Yazidi, Anis; Borges Moreno e Mello, Gustavo; Palumbo, Fabrizio (Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...
    • Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian 

      Aaby, Pernille; Biermann, Daniel; Yazidi, Anis; Borges Moreno e Mello, Gustavo; Palumbo, Fabrizio (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...