Institutt for datateknologi og informatikk
Recent Submissions
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Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study
(Peer reviewed; Journal article, 2020)Background: Self-management is the key recommendation for managing nonspecific low back pain (LBP). However, there are well-documented barriers to self-management; therefore, methods of facilitating adherence are required. ... -
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
(Peer reviewed; Journal article, 2020)We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule endoscopy (VCE) data. Our proposed model ... -
Transforming a Theoretical Framework to Design Cards: LEAGUE Ideation Toolkit for Game-Based Learning Design
(Peer reviewed; Journal article, 2020)Educational game design is a complex process demanding multi-dimensional focus in a heterogeneous team to balance multiple aspects. The existing Game-based learning (GBL) frameworks detail the required knowledge but are ... -
Examining the Digitalization of Virtual Enterprises Amidst the COVID-19 Pandemic: A Systematic and Meta-Analysis
(Peer reviewed; Journal article, 2020)Enterprises are surviving in a digital transitioning society, where the creation of strategic alliances is one important result of this constant change during the coronavirus 2019 (COVID-19) pandemic. A medium of conducting ... -
Operationalizing Agile Methods: Examining Coherence in Large-Scale Agile Transformations
(Chapter, 2020)Following the highly pervasive and effective use of agile methods for software development, attention has now turned to the much more difficult challenge of applying these methods in large scale, organization-wide development. ... -
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning
(Chapter, 2020)In order to make better use of deep reinforcement learning in the creation of sensing policies for resource-constrained IoT devices, we present and study a novel reward function based on the Fisher information value. This ... -
A Novel Ensemble Representation Framework for Sentiment Classification
(Chapter, 2020)Text representation has a critical impact on the accuracy of text classifiers which is imperative to be strengthened. On the other hand, the question of how the state-of-the-art embeddings outperform previous approaches ... -
DHD-Net: A Novel Deep-Learning-based Dehazing Network
(Chapter, 2020)Eliminating haze interference in images is still a challenging problem. In this paper, we consider more systematically the physical hazing mechanisms, combined with deep learning, propose a new end-to-end dehazing network ... -
Transitioning from a First Generation to Second Generation Large-Scale Agile Development Method: Towards Understanding Implications for Coordination.
(Chapter, 2020)This paper reports our initial findings from a longitudinal case study within a large development project in a public organization in Scandinavia. We focus on changes in coordination practices as the development project ... -
The impact of on‐demand metacognitive help on effortful behaviour: A longitudinal study using task‐related visual analytics
(Peer reviewed; Journal article, 2020)This longitudinal study investigates the differences in learners' effortful behaviour over time due to receiving metacognitive help—in the form of on‐demand task‐related visual analytics. Specifically, learners' interactions ... -
Clearing the Shadows: Recovering Lost Performance for Invisible Speculative Execution through HW/SW Co-Design
(Chapter, 2020)Out-of-order processors heavily rely on speculation to achieve high performance, allowing instructions to bypass other slower instructions in order to fully utilize the processor's resources. Speculatively executed ... -
Blended Learning Adoption and Implementation in Higher Education: A Theoretical and Systematic Review
(Peer reviewed; Journal article, 2020)Technological innovations such as blended learning (BL) are rapidly changing teaching and learning in higher education, where BL integrates face to face teaching with web based learning. Thus, as polices related to BL ... -
Measurement and rendering of complex non-diffuse and goniochromatic packaging materials
(Peer reviewed; Journal article, 2020)Realistic renderings of materials with complex optical properties, such as goniochromatism and non-diffuse reflection, are difficult to achieve. In the context of the print and packaging industries, accurate visualisation ... -
A Critical Analysis on Perceptual Contrast and its Use in Visual Information Analysis and Processing
(Peer reviewed; Journal article, 2020)Contrast in visible images is one of the most relevant characteristics of visual signals. Since the pioneering works performed in vision psychology and optics, different definitions have been proposed in the literature. ... -
Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions
(Peer reviewed; Journal article, 2020)This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show ... -
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets
(Peer reviewed; Journal article, 2020)How different cultures react and respond given a crisis is predominant in a society’s norms and political will to combat the situation. Often, the decisions made are necessitated by events, social pressure, or the need of ... -
Evaluation of Image Quality of State-of-art CT Vendors in the Norwegian Market
(Master thesis, 2015)This study focus in the low-contrast detectability properties of two scanners examples in the state-of-the-art from Oslo Hospital Interventional center, as examples of different technologies, being one of them Dual-Energy ... -
Comparative Study of Event Prediction in Power Grids using Supervised Machine Learning Methods
(Chapter, 2020)There is a growing interest in applying machine learning methods on large amounts of data to solve complex problems, such as prediction of events and disturbances in the power system. This paper is a comparative study of ... -
Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents
(Journal article; Peer reviewed, 2020)Background Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and ... -
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
(Journal article; Peer reviewed, 2020)Stimulus equivalence (SE) and projective simulation (PS) study complex behavior, the former in human subjects and the latter in artificial agents. We apply the PS learning framework for modeling the formation of equivalence ...
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