• A Survey on Urban Traffic Anomalies Detection Algorithms 

      Djenouri, Youcef; Belhadi, Asma; Lin, Chun Wei; Djenouri, Djamel; Cano, Alberto (Journal article; Peer reviewed, 2019)
      This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups ...
    • A Systematic Mapping Study on Requirements Engineering in Software Ecosystems 

      Vegendla, Aparna; Nguyen Duc, Anh; Gao, Shang; Sindre, Guttorm (Journal article; Peer reviewed, 2018)
      Software ecosystems (SECOs) and open innovation processes have been claimed as a way forward for the software industry. A proper understanding of requirements is as important for SECOs as for more traditional ones. This ...
    • A Three-Feature Model to Predict Colour Change Blindness 

      Le Moan, Steven; Pedersen, Marius (Journal article; Peer reviewed, 2019)
      Change blindness is a striking shortcoming of our visual system which is exploited in the popular ‘Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change ...
    • A Tool-based Semantic Framework for Security Requirements Specification 

      Daramola, Olawande; Sindre, Guttorm; Moser, Thomas (Journal article; Peer reviewed, 2013)
      Attaining high quality in security requirements specification requires first-rate professional expertise, which is scarce. In fact, most organisations do not include core security experts in their software team. This ...
    • A two-step site and mRNA-level model for predicting microRNA targets 

      Saito, Takaya; Sætrom, Pål (Journal article; Peer reviewed, 2010)
      Background: Despite experiments showing that the number of microRNA (miRNA) target sites is critical for miRNA targeting, most existing methods focus on identifying individual miRNA target sites and do not model contributions ...
    • A vectorized k-means algorithm for compressed datasets: design and experimental analysis 

      Al Hasib, Abdullah; Cebrian, Juan Manuel; Natvig, Lasse (Journal article; Peer reviewed, 2018)
      Clustering algorithms (i.e., Gaussian mixture models, k-means) tackle the problem of grouping a set of elements in such a way that elements from the same group (or cluster) have more similar properties to each other than ...
    • A Weighted Histogram-Based Tone Mapping Algorithm for CT images 

      Völgyes, David; Martinsen, Anne Catrine Trægde; Stray-Pedersen, Arne; Waaler, Dag; Pedersen, Marius (Journal article; Peer reviewed, 2018)
      Computed Tomography (CT) images have a high dynamic range, which makes visualization challenging. Histogram equalization methods either use spatially invariant weights or limited kernel size due to the complexity of pairwise ...
    • A3Mark: Seismic attribute benchmarking 

      Xing, Liyuan; Aarre, Victor; Salman, Nader; Theoharis, Theoharis; Tjåland, Egil (Journal article; Peer reviewed, 2018)
      Seismic attribute computation is one of the most active research and engineering topics in the computational geophysics world. Although numerous algorithms for seismic attribute computation have been developed, relatively ...
    • Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project 

      Granviken, Fredrik; Meisingset, Ingebrigt; Vasseljen, Ottar; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth (Journal article; Peer reviewed, 2023)
      Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) ...
    • 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 ...
    • Accessible maps for the color vision deficient observers: past and present knowledge and future possibilities 

      Kvitle, Anne Kristin (Journal article; Peer reviewed, 2018)
      Color is part of the visual variables in map, serving an aesthetic part and as a guide of attention. Impaired color vision affects the ability to distinguish colors, which makes the task of decoding the map colors difficult. ...
    • ACCURATE: Accuracy Maximization for Real-Time Multi-core systems with Energy Efficient Way-sharing Caches 

      Saha, Sangeet; Chakraborty, Shounak; Zhai, Xiaojun; Ehsan, Shoaib; McDonald-Maier, Klaus (Journal article; Peer reviewed, 2022)
      Improving result accuracy in approximate computing (AC)-based real-time applications without violating deadlines has recently become an active research domain. Execution time of AC real-time tasks can individually be ...
    • Achieving agility and quality in product development -an empirical study of hardware startups 

      Berg, Vebjørn; Birkeland, Jørgen; Nguyen Duc, Anh; Pappas, Ilias; Jaccheri, Maria Letizia (Peer reviewed; Journal article, 2020)
      Context: Startups aim at scaling their business, often by developing innovative products with limited human and financial resources. The development of software products in the startup context is known as opportunistic, ...
    • Achieving sustainable low fow using hydropower reservoir for ecological water management in Glomma River Norway 

      Olabiwonnu, Folakemi Ope; Bakken, Tor Haakon; Bokolo, Anthony Junior (Peer reviewed; Journal article, 2022)
      Generally, low flow in rivers occur as a result of extended period of dryness which is likely attributed to drought. Drought is a natural occurrence as an outcome of reduction in precipitation in a region for a long time. ...
    • Acquisition and Reuse of Reasoning Knowledge from Textual Cases for Automated Analysis 

      Sizov, Gleb Valerjevich; Øzturk, Pinar; Styrak, Jozef (Journal article, 2009)
      Analysis is essential for solving complex problems such as diagnosing a patient, investigating an accident or predicting the outcome of a legal case. It is a non-trivial process even for human experts. To assist experts ...
    • Acquisition strategies for in-situ hyperspectral imaging of stained-glass windows: case studies from the Swiss National Museum 

      Babini, Agnese; Lombardo, Tiziana; Schmidt-Ott, Katharina; George, Sony; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2023)
      Over the last decade, hyperspectral imaging has become a popular technique for the non-invasive identification and mapping of painting materials in many typologies of artworks, thanks to the possibility of obtaining spectral ...
    • Acrobats and Safety-Nets: Problematizing Large-Scale Agile Software Development 

      Rolland, Knut-H.; Fitzgerald, Brian; Dingsøyr, Torgeir; Stol, Klaas-Jan (Peer reviewed; Journal article, 2023)
      Agile development methods have become a standard in the software industry, including in large-scale projects. These methods share a set of underlying assumptions that distinguish them from more traditional plan-driven ...
    • Acting with inherently uncertain data: practices of data-centric knowing 

      Mikalsen, Marius; Monteiro, Eric (Journal article; Peer reviewed, 2021)
      Data-driven data science challenges our conceptualization of “data.” Significantly beyond capturing a given phenomenon, data, increasingly, are the phenomenon. Data may be iteratively manipulated algorithmically, undermining ...
    • Action unit detection in 3D facial videos with application in facial expression retrieval and recognition 

      Danelakis, Antonios; Theoharis, Theoharis; Pratikakis, Ioannis (Journal article; Peer reviewed, 2018)
      This work introduces a new scheme for action unit detection in 3D facial videos. Sets of features that define action unit activation in a robust manner are proposed. These features are computed based on eight detected ...
    • Active learning and student peer assessment in a web development course 

      Aalberg, Trond; Lorås, Madeleine (Journal article; Peer reviewed, 2018)
      Active learning is a family of instructional practises that requires students to participate in learning activities and engages students in the learning process. For larger groups, however, this it is often challenging to ...