Blar i Publikasjoner fra Cristin på dokumenttype "Conference object"

Viser treff 61-80 av 203

    • Ex-vivo Porcine Model for Generating an Internal Surface in Biological Subjects using 3D-GAN 

      de Medeiros Esper, Ian; Romanov, Dmytro; Korostynska, Olga; From, Pål Johan; Mason, Alex (Chapter; Peer reviewed; Conference object, 2022)
      Robotic automation in the medical industry is complex because of the biological nature of the processed materials and the risks to the patient. Everyone is different, which means that each individual has their own ...

    • 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 ...

    • 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 ...

    • 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 practices of critical design literacy. A comparative study of two lower secondary school design project 

      Lutnæs, Eva (Proceedings of the DRS LEARN X DESIGN 2021;Volume 1 - 6th International Conference for Design Education Researchers. 24–26 September 2021 Jinan, China. Engaging with Challenges in Design Education, Conference object, 2021-12-27)
      We have destabilized nature by design. The Anthropocene epoch requires a fundamental redirection of the purpose of design and design education. This empirical review explores two design projects—Repair and Ecovillage—at ...

    • Exploring the statistical practices in classroom: STEM teachers’ experiences using dynamic data analysis technology 

      Yabas, Defne; Örene, Batın; Corlu, M. Sencer (CERME Proceedings Series;Proceedings of the Twelfth Congress of the European Society for Research in Mathematics Education, Conference object, 2022)
      In the 21st century, schools have been increasingly expected to raise students prepared for a world of quantities and uncertainty. As statistical practices become an important skill for every individual, researchers and ...

    • Exploring the Usability of the LCH Color Model for Web Designers 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Although the LCH color models have been around for many years, it has just recently been included in web specifications and is currently being implemented by browser vendors. Several voices argue that the LCH color model ...

    • Exploring the User Experience of an AI-based Smartphone Navigation Assistant for People with Visual Impairments 

      Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika (Chapter; Conference object, 2023)
      Advancements in artificial intelligence (AI), computer vision, and smartphone technology have spurred the development of naviga- tion assistants aiming to improve the independent mobility experi- ence of people with visual ...

    • Extraction and Accumulation of Identity Attributes from the Internet of Things 

      Fritsch, Lothar; Gruschka, Nils (Lecture Notes in Informatics (LNI) - Proceedings;Open Identity Summit 2021; Volume P-312, Conference object, 2021)
      Internet of Things (IoT) devices with wireless communication provide person-relateable information usable as attributes in digital identities. By scanning and profiling these signals against location and time, identity ...

    • FLINK: An Educator’s Tool for Linking Inaccurate Student Records 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Although many areas within the education sector have been subjected to digitalization, including electronic storage and processing of student infor-mation, student-administrative tasks are still often handled manually. One ...

    • Framing scenario thinking in a mode of futures by design inquiry 

      Raymond, Corbin Edin; Morrison, Andrew; Mainsah, Henry Nsaidzeka (Proceedings of DRS;DRS2022: Bilbao, Conference object, 2022)
      In Transdisciplinary Design inquiry, the conceptual and ideational need to be clarified when relational and qualitative methodologies are enacted. This is crucial concerning complex, emergent, and urgent matters of climate ...

    • From Theory to Practice Leveraging Project Based Learning to Cultivate Student Engagement in Mechanical Engineering Education 

      Keprate, Arvind; Woodford, Sam; Borrajo, Rafael (IEEE International Conference on Industrial Engineering and Engineering Management;, Chapter; Peer reviewed; Conference object, 2024)
      This paper explores the transformative impact of Education 4.0 on learning experiences in the context of mechanical engineering education. Education 4.0 is an evolving paradigm that is student-centered, scalable, ...

    • Genetic Algorithms For Tightening Security 

      Palumbo, Fabrizio; Buji, Adam; Yazidi, Anis; Haugerud, Hårek (Chapter; Peer reviewed; Conference object, 2022)
      Proper configuration of operating systems and program parameters is known to be a key security factor in order to remove vulnerabilities. It is known that vulnerabilities can be caused by a human misconfiguration or by an ...

    • Giga-Mapping and Knowledge of Boundary Object Theory in Sustainable Product Development 

      Kvam, Eva (E&PDE;DS 110: Proceedings of the 23rd International Conference on Engineering and Product Design Education (E&PDE 2021), VIA Design, VIA University in Herning, Denmark. 9th -10th September 2021, Conference object, 2021)
      New combinations of disciplines allow a better understanding of interconnected modern problems like sustainability. Expanding design education curriculum may improve a designer’s ability to deal with complex subject ...

    • Git in an Educational Context 

      Haugse, Åsmund; Aalberg, Trond (NIKT: Norsk IKT-konferanse for forskning og utdanning;No. 4 (2021): UDIT Norsk konferanse for utdanning og didaktikk i IT-fagene, Conference object, 2021-11-22)
      The version control system Git is commonly used in computer science education. Best practice use of Git is a relevant professional skill that students need to learn, but Git also is a natural choice for efficient collaboration ...

    • Gluco Coach—A Self-Management Application for Type 2 Diabetes Mellitus: User testing to understand comfort levels and sustained patient engagement 

      Bong, Way Kiat; Jagannath Das, Kuthethur Sneha; Janszen, Felix (eTELEMED;2022: The Fourteenth International Conference on eHealth, Telemedicine, and Social Medicine, Conference object, 2022)
      The increase in the number of patients with type 2 diabetes mellitus is a global concern. Using information and communications technologies, particularly mobile applications, to empower patients with remote self-management ...

    • HIDE: Short IDs for Robust and Anonymous Linking of Users Across Multiple Sessions in Small HCI Experiments 

      Sandnes, Frode Eika (Conference on Human Factors in Computing Systems;CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Conference object, 2021-05-08)
      Record linking is needed to analyze observations across multiple sessions. However, recent privacy legislature such as the General Data Protection Regulations (GDPR) restricts the storage of information that identify ...

    • HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey 

      Husa, Andreas; Midoglu, Cise; Hammou, Malek; Halvorsen, Pål; Riegler, Michael (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      We present HOST-ATS, a holistic system for the automatic selection and evaluation of soccer video thumbnails, which is composed of a dashboard-controlled machine learning (ML) pipeline, and a dynamic user survey. The ML ...

    • Huldra: a framework for collecting crowdsourced feedback on multimedia assets 

      Hammou, Malek; Midoglu, Cise; Hicks, Steven; Storås, Andrea; Sabet, Saeed; Strumke, Inga; Riegler, Michael; Halvorsen, Pål (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      Collecting crowdsourced feedback to evaluate, rank, or score multimedia content can be cumbersome and time-consuming. Most of the existing survey tools are complicated, hard to customize, or tailored for a specific asset ...