Blar i Publikasjoner fra Cristin på tidsskrift "CEUR Workshop Proceedings"

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    • Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration 

      Zheng, Zhuoxun; Savkovic, Ognjen; Phuc Luu, Huu; Soylu, Ahmet; Kharlamov, Evgeny; Zhou, Baifan (Peer reviewed; Journal article, 2023)
      Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges. In that context, distributed computing solutions such as cloud systems are ...

    • DivergentNets: Medical Image Segmentation by Network Ensemble 

      Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål; Riegler, Michael (CEUR Workshop Proceedings;Vol-2886 - Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021), Conference object, 2021)
      Detection of colon polyps has become a trending topic in the intersecting fields of machine learning and gastrointestinal endoscopy. The focus has mainly been on per-frame classification. More recently, polyp segmentation ...

    • Integrating Human-Centered Artificial Intelligence in Programming Practices to Reduce Teachers’ Workload 

      Andersen, Renate; Gjølstad, Eli; Mørch, Anders (CEUR Workshop Proceedings;Proceedings of CoPDA2022 - Sixth International Workshop on Cultures of Participation in the Digital Age: AI for Humans or Humans for AI?, Conference object, 2022)
      Abstract 1 Artificial intelligence (AI) has impacted every industry, including the education sector. In this position paper, we explore how human-centered AI (HCAI) can be integrated in programming activities in school ...

    • Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring 

      Tan, Zhipeng; Zheng, Zhuoxun; Klironomos, Antonis; Gad-Elrab, Mohamed H.; Xiao, Guohui; Soylu, Ahmet; Kharlamov, Evgeny; Zhou, Baifan (Peer reviewed; 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). ...

    • Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch 

      Zheng, Zhuoxun; Zhou, Baifan; Tan, Zhipeng; Savkovic, Ognjen; Rincon-Yanez, Diego; Nikolov, Nikolay Vladimirov; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny (Peer reviewed; Journal article, 2023)
      Background and Challenges. Industry 4.0 focuses on smart factories that rely on IoT tech- nology for automation. This produces massive amounts of production data, increasing the demand for data-driven solutions and cloud ...

    • Toward a Method of Visual Artifact Analysis: Understanding Learners’ Design Activity in a Makerspace 

      Mørch, Anders; Andersen, Renate (CEUR Workshop Proceedings;Vol-3136, Peer reviewed; Journal article, 2022-05-17)
      In our research, we study end-user development and computer-supported collaborative learning in educational settings. The main research method we use is interaction analysis (IA)—the analysis of group interaction (verbal ...

    • Towards a Visualisation Ontology for Data Analysis in Industrial Applications 

      Zheng, Zhuoxun; Zhou, Baifan; Soylu, Ahmet; Kharlamov, Evgeny (Peer reviewed; Journal article, 2022)