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Learning about risk: Machine learning for risk assessment
(Journal article; Peer reviewed, 2019)Risk assessment has a primary role in safety-critical industries. However, it faces a series of overall challenges, partially related to technology advancements and increasing needs. There is currently a call for continuous ... -
Learning an AUV docking maneuver with a convolutional neural network
(Chapter, 2017)This paper proposes and implements a convolutional neural network (CNN) that maps images from a camera to an error signal to guide and control an autonomous underwater vehicle into the entrance of a docking station. The ... -
Learning Analytics and Task Design in Science Education
(Journal article; Peer reviewed, 2017)Learning analytics has become a buzzword, in practice often accompanied by comprehensive use of digital technologies. This study takes a qualitative approach by analysing performance data within the bounds of one module. ... -
Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning
(Journal article; Peer reviewed, 2018)As the fields of learning analytics and learning design mature, the convergence and synergies between these two fields became an important area for research. This paper intends to summarize the main outcomes of a systematic ... -
Learning Analytics for Learning Design: Towards Evidence-Driven Decisions to Enhance Learning
(Journal article; Peer reviewed, 2017)As the fields of learning analytics and learning design mature, the convergence and synergies between them become an important area for research. Collecting and combining learning analytics coming from different channels ... -
Learning and practicing more value-reflective, problem-setting health technology assessment: experiences and lessons from the VALIDATE project
(Peer reviewed; Journal article, 2022)Objectives To conduct a formative evaluation of applying the VALIDATE approach in practice by (i) assessing how students appreciated the e-learning course, (ii) exploring how, for what purposes and with what outcomes ... -
Learning and representation of hierarchical concepts in hippocampus and prefrontal cortex
(Peer reviewed; Journal article, 2021)A key aspect of conceptual knowledge is that it can be flexibly applied at different levels of abstraction, implying a hierarchical organization. It is yet unclear how this hierarchical structure is acquired and represented ... -
A Learning Approach for Future Competencies in Manufacturing using a Learning Factory
(Peer reviewed; Journal article, 2023)This paper describes a study on future competence needs in manufacturing and how a learning factory utilising a Connective Model for Didactic Design can be used in teaching and learning of these competencies. The paper ... -
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
(Journal article, 2022)This paper deals with the problem of solving stochastic games (which have numerous business and economic applications), using the interesting tools of Learning Automata (LA), the precursors to Reinforcement Learning (RL). ... -
Learning by doing: Public and private search for quick delivery and sustainability in building projects
(Journal article; Peer reviewed, 2017)Quick project delivery makes socio-economic sense as value can be delivered sooner. We investigate two approaches to achieving this; the modular super cube-concept for school buildings and conventional building conducted ... -
Learning cost function for graph classification with open-set methods
(Journal article; Peer reviewed, 2019)In several pattern recognition problems, effective graph matching is of paramount importance. In this paper, we introduce a novel framework to learn discriminative cost functions. These cost functions are embedded into a ... -
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation
(Peer reviewed; Journal article, 2023)Purpose This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods Different training strategies, loss functions, and ... -
Learning Eigenvalues and Eigenvectors with Online YouTube Resources: A Journey in the Embodied, Proceptual-symbolic, and Formal Worlds of Mathematics
(Journal article; Peer reviewed, 2024)Linear algebra is one of the service mathematics courses that students in many programs take as part of their undergraduate study. Previous studies indicate that linear algebra courses are often challenging for undergraduate ... -
Learning Embedded in Structures: Facilitating Systems for Learning within Offshore Drilling Operations
(Peer reviewed; Journal article, 2021)Purpose: The current study examines the contribution of formalised planning to ensure success in drilling operations seen in the light of organizational learning theory. Methodology: The applied methodology is observational ... -
Learning embedded verb placement in Norwegian: Evidence for early overgeneralization
(Peer reviewed; Journal article, 2021)This article investigates how children acquire word order generalizations from ambiguous and infrequent input. We focus on verb placement in Norwegian relative and complement clauses. In two elicitation experiments we ... -
Learning Entrepreneurship by Hand Clapping: ABM in use in Entrepreneurship Education
(Chapter, 2017)This chapter presents a new way of teaching entrepreneurship, by the way of arts-based methods. It involves an exercise consisting of making a song in teams based solely on body sounds, to elicit reflections, discussions ... -
Learning exact enumeration and approximate estimation in deep neural network models
(Journal article; Peer reviewed, 2021)A system for approximate number discrimination has been shown to arise in at least two types of hierarchical neural network models—a generative Deep Belief Network (DBN) and a Hierarchical Convolutional Neural Network ... -
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling
(Journal article, 2021)Improving and optimizing oceanographic sampling is a crucial task for marine science and maritime resource management. Faced with limited resources in understanding processes in the water column, the combination of statistics ... -
Learning factories as laboratories for socio-technical experiments
(Journal article; Peer reviewed, 2019)Production systems might be viewed as complex socio-technical systems. A central part of socio-technical systems theory, is that improvements demands joint optimization of both the technological and the social parts of the ...