Recent Submissions

  • Exploring Active and Critical Engagement in Human-Robot Interaction to Develop Programming Skills: A Pilot Study 

    Mishra, Deepti; Inal, Yavuz; Parish, Karen; Arroyo Romero, Guillermo; Rajbhandari, Rumi (Journal article; Peer reviewed, 2023)
    Humanoid robots can help improve the spatial programming skills of children by making abstract concepts playful, tangible, concrete, and thereby understandable. However, active and critical engagement with robots creates ...
  • What Affects the Success of Programmers in Query Validation Process? An Eye Tracking Study 

    Mishra, Deepti; Inal, Yavuz (Journal article; Peer reviewed, 2023)
    A meticulous examination of SQL queries plays a pivotal role in the process of learning SQL. It is important to understand the procedures utilized by students in SQL query formulation, but there has been insufficient ...
  • Deciphering Software Ecosystem for Vendor Analysis and Selection 

    Rani, Anshul (Doctoral theses at NTNU;2024:272, Doctoral thesis, 2024)
  • Trustworthy machine learning in the context of security and privacy 

    Upreti, Ramesh; Lind, Pedro; Elmokashfi, Ahmed; Yazidi, Anis (Peer reviewed; Journal article, 2024)
    Artificial intelligence-based algorithms are widely adopted in critical applications such as healthcare and autonomous vehicles. Mitigating the security and privacy issues of AI models, and enhancing their trustworthiness ...
  • An Attack on Facial Soft-Biometric Privacy Enhancement 

    Osorio-Roig, Daile; Rathgeb, Christian; Drozdowski, Pawel; Terhorst, Philipp; Struc, Vitomir; Busch, Christoph (Peer reviewed; Journal article, 2022)
    In the recent past, different researchers have proposed privacy-enhancing face recognition systems designed to conceal soft-biometric attributes at feature level. These works have reported impressive results, but generally ...
  • Access and Use of Digital Rheumatology: Exploring “the social aspect” 

    Mühlensiepen, Felix; Hochwarter, Stefan (Peer reviewed; Journal article, 2021)
    This paper reports on the results of a secondary analysis of qualitative and quantitative research data focused on the socio-demographic and -economic dimension of digital health service and telemedicine use in German ...
  • Pixel-Level Face Image Quality Assessment for Explainable Face Recognition 

    Terhorst, Philipp; Huber, Marco; Damer, Naser; Kirchbuchner, Florian; Raja, Kiran; Kuijper, Arjan (Peer reviewed; Journal article, 2023)
    In this work, we introduce the concept of pixel-level gface image quality that determines the utility of single pixels in a face image for recognition. We propose a training-free approach to assess the pixel-level qualities ...
  • Design of Child-robot Interactions for Comfort and Distraction from Post-operative Pain and Distress 

    Ferrari, Oriana Isabella; Zhang, Feiran; Braam, Ayrton A.; Van Gurp, Jules A.; Broz, Frank Broz; Barakova, Emilia I. (Chapter; Peer reviewed, 2023)
    There are numerous strategies for reducing the stress and anxiety associated with pain that children experience before and after surgery. There is a potential communication barrier between hospital staff and the child which ...
  • TSES-R: An Extended Scale for Measuring Parental Expectations toward Robots for Children in Healthcare 

    Zhang, Feiran; Broz, Frank; Ferrari, Oriana; Barakova, Emilia (Chapter; Peer reviewed, 2023)
    There is a growing interest in implementing robotics applications for children in healthcare to provide companionship, comfort, education, and therapy. Parental expectations regarding robotics for young children play a ...
  • Multiset permutation generation by transpositions 

    Rivertz, Hans (Journal article, 2023)
    This paper proposes a new algorithm for generating all permutations of multisets. The method uses transpositions only and adjacent transpositions are favoured. The algorithm requires a strong homogeneous transposition ...
  • Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey 

    Motlagh, Naser Hossein; Kortoci, Pranvera; Su, Xiang; Loven, Lauri; Hoel, Hans Kristian; Haugsvær, Sindre Bjerkestrand; Srivastava, Varun; Gulbrandsen, Casper Fabian; Nurmi, Petteri; Tarkoma, Sasu (Peer reviewed; Journal article, 2023)
    Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution for increasing the spatial and temporal resolution of air quality data, searching and detecting emission sources, and monitoring ...
  • Toward Solving a Puzzle of Fragmented Archeological Textiles 

    Gigilashvili, Davit; Gulbrandsen, Casper Fabian; Nguyen, Ha Thu; Havgar, Margrethe; Vedeler, Marianne; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2024)
    Archeological textiles can provide invaluable insight into the past. However, they are often highly fragmented, and a puzzle has to be solved to re-assemble the object and recover the original motifs. Unlike common jigsaw ...
  • Facilitating Responsible Use of Artificial Intelligence in the Public Sector Through Guidelines for Human- AI Interaction 

    Arnarsson, Robert Thor; Ellingsen, Mats; Pham, Quynh-Anh Nguyen; Sterkenburg, Jarl Joar Van; Cappelen, Gard; Hochwarter, Stefan; Schmager, Stefan (Peer reviewed; Journal article, 2023)
    When developing Artificial Intelligence (AI) systems and implementing them in public services, guidelines for human-AI interaction can be instrumental in ensuring responsible use of these systems and AI intelligibility and ...
  • Multimodal Measurement of Parchment Using a Custom 3D Scanner 

    Papanikolaou, Athanasia; George, Sony; Sole, Aditya Suneel; Trumpy, Giorgio; Kujawinska, Malgorzata (Journal article; Peer reviewed, 2023)
    A multimodal optomechatronics system is presented for measuring and monitoring change in cultural heritage objects exposed to environmental condition fluctuations or conservation treatments. It combines structured light, ...
  • Explainable reinforcement learning (XRL): a systematic literature review and taxonomy 

    Bekkemoen, Yanzhe (Journal article; Peer reviewed, 2023)
    In recent years, reinforcement learning (RL) systems have shown impressive performance and remarkable achievements. Many achievements can be attributed to combining RL with deep learning. However, those systems lack ...
  • UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes 

    Toor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang (Chapter, 2024)
    In the context of time series data, a contextual anomaly is considered an event or action that causes a deviation in the data values from the norm. This deviation may appear normal if we do not consider the timestamp ...
  • Vessel-to-Vessel Motion Compensation with Reinforcement Learning 

    Herland, Sverre; Bach, Kerstin (Chapter, 2023)
    Actuation delay poses a challenge for robotic arms and cranes. This is especially the case in dynamic environments where the robot arm or the objects it is trying to manipulate are moved by exogenous forces. In this paper, ...
  • Digital Skills Playbook for Educators 

    Osadcha, Kateryna; Joyce, Alexa; Mueller, Catalina; Latronico, Rossana; Stella, Ivano; Cavalie, Pierre-Paul; Vos, Brenda; Videnovik, Maja; Barbosa, Cláudia; Matkovič, Matej; Fernández-Rodrigo, Laura; Duus, Rikke; Koeritz, Judith; Lake, Vivien; Chantal, Sistek; Pinzi, Viola (Research report, 2024)
    Welcome to the Digital Skills playbook for educators. In this playbook, we are digging into the challenge of improving the digital skills of students – no matter what age or stage of learning they might be at. Whether young ...
  • An Appearance Reproduction Framework for Printed 3D Surfaces 

    Habib, Tanzima; Green, Philip John; Nussbaum, Peter Stefan (Peer reviewed; Journal article, 2023)
    Bidirectional reflection distribution function (BRDF) is used to measure colour with gloss and surface geometry. In this paper, we aim to provide a practical way of reproducing the appearance of a 3D printed surface in ...
  • Image Demosaicing: subjective analysis and evaluation of image quality metrics 

    Ahmed, Tawsin Uddin; Amirshahi, Seyed Ali; Pedersen, Marius (Peer reviewed; Journal article, 2023)
    Most cameras use a single-sensor arrangement with Color Filter Array (CFA). Color interpolation techniques performed during image demosaicing are normally the reason behind visual artifacts generated in a captured image. ...

View more