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Experiverse: Exploring an experiment-based gamification application for motivating children to science learning in an informal setting
(Chapter, 2023)Science learning at schools often lacks relevance and connection to real life; therefore, children find it challenging to apply their knowledge and may gradually lose motivation and interest in science. Gamification ... -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
(Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
An expert system for systematic international market selection
(Peer reviewed; Journal article, 2022)We tested and examined the use of systematic international market selection (IMS) in the case of a library software/automation provider in a Nordic country. The purpose of our study was to investigate how the case company ... -
Expiratory airflow in late adolescence and early adulthood in individuals born very preterm or with very low birthweight compared with controls born at term or with normal birthweight: a meta-analysis of individual participant data.
(Journal article; Peer reviewed, 2019)Maximal expiratory airflow peaks early in the third decade of life, then gradually declines with age. The pattern of airflow through adulthood for individuals born very preterm (at <32 weeks’ gestation) or ... -
Explainable AI for Credit Assessment in Banks
(Peer reviewed; Journal article, 2022)Banks’ credit scoring models are required by financial authorities to be explainable. This paper proposes an explainable artificial intelligence (XAI) model for predicting credit default on a unique dataset of unsecured ... -
Explainable AI methods on a deep reinforcement learning agent for automatic docking
(Peer reviewed; Journal article, 2021)Artifical neural networks (ANNs) have made their way into marine robotics in the last years, where they are used in control and perception systems, to name a few examples. At the same time, the black-box nature of ANNs is ... -
Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
(Peer reviewed; Journal article, 2023)The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns regarding explainability. Recent studies have discussed the emerging demand for explainable AI (XAI); however, a systematic review ... -
Explainable Visualization for Morphing Attack Detection
(Peer reviewed; Journal article, 2022)Detecting morphed face images has become critical for maintaining trust in automated facial biometric verification systems. It is well demonstrated that better biometric performance of the Face Recognition System (FRS) ... -
Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization
(Peer reviewed; Journal article, 2021)Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility value is restricted by their black-box nature. Explainable artificial intelligence methods attempt to understand how such ... -
Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study
(Chapter, 2022)Explainability in AI is becoming increasingly important as we delegate more safety-critical tasks to intelligent decision support systems. Case-Based Reasoning (CBR) systems are one way to build such systems. Understanding ... -
Explaining decoupling in high income countries: A structural decomposition analysis of the change in energy footprint from 1970 to 2009
(Peer reviewed; Journal article, 2020)The decoupling of energy use from economic growth is an essential element in the transition to a sustainable future. However, little is known about the long-term drivers of decoupling, especially considering the possibility ... -
Explaining Deep Learning Models for Credit Scoring with SHAP: A Case Study Using Open Banking Data
(Peer reviewed; Journal article, 2023)Predicting creditworthiness is an important task in the banking industry, as it allows banks to make informed lending decisions and manage risk. In this paper, we investigate the performance of two different deep learning ... -
Explaining depression symptoms in patients with social anxiety disorder: Do maladaptive metacognitive beliefs play a role?
(Journal article; Peer reviewed, 2018)Social anxiety disorder (SAD) is a major risk factor for developing symptoms of depression. Severity of social anxiety has previously been identified as a risk factor, and cognitive models emphasize dysfunctional schemas ... -
Explaining learning performance using response-time, self-regulation and satisfaction from content: an fsQCA approach
(Chapter, 2018)This study focuses on compiling students' response-time allocated to answer correctly or wrongly, their self-regulation, as well as their satisfaction from content, in order to explain high or medium/low learning performance. ... -
Explaining motivational antecedents of citizenship behavior among preservice teachers
(Journal article; Peer reviewed, 2015)A typical preservice teacher will experience demanding teaching situations during practicum. In such situations, interpersonal support from fellow students may be an important factor if experiences gained during teaching ... -
Explaining Outcome Differences between Men and Women following Mild Traumatic Brain Injury
(Peer reviewed; Journal article, 2021)Men and women differ in outcomes following mild traumatic brain injury (TBI). In the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we previously found that women ... -
Explaining sex differences in risk of bloodstream infections using mediation analysis in the population-based HUNT study in Norway
(Peer reviewed; Journal article, 2022)Previous studies indicate sex differences in incidence and severity of bloodstream infections (BSI). We examined the effect of sex on risk of BSI, BSI mortality, and BSI caused by the most common infecting bacteria. Using ... -
Explaining Support for Political Violence: Grievance and Perceived Opportunity
(Peer reviewed; Journal article, 2020)What explains support for violence against the state? The surge in survey-based studies in (former) conflict areas has improved our understanding of the determinants of armed conflict. Yet, the potential interaction between ... -
Explaining the Female Preponderance in Adolescent Depression—A Four-Wave Cohort Study
(Peer reviewed; Journal article, 2023)In the transition from childhood into adolescence, a female preponderance in depression emerges. Despite substantial empirical research to test theoretical propositions as to why this happens, our understanding is still ... -
Explaining the formation of sedimentary structures under antidunes using a 2D width-averaged numerical model
(Peer reviewed; Journal article, 2022)A new numerical model for computing the formation of sedimentary structures in a fluvial environment is presented. The model has been used to explain the strata-forming processes under antidunes in detail, including water ...