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JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs
(Peer reviewed; Journal article, 2023)JavaScript is one of the most popular programming languages. However, its dynamic nature poses several challenges to automated testing techniques. In this paper, we propose an approach and open-source tool support to enable ... -
Joint tracking of multiple quantiles through conditional quantiles
(Information Sciences;Volume 563, July 2021, Peer reviewed; Journal article, 2021-03-05)The estimation of quantiles is one of the most fundamental data mining tasks. As most real-time data streams vary dynamically over time, there is a quest for adaptive quantile estimators. The most well-known type of adaptive ... -
Joystick versus mouse in first person shooters: Mouse is faster than joystick
(Advances in Intelligent Systems and Computing;1018, Chapter; Peer reviewed, 2019-07-25)Many gamers use desktop or laptop computers with a mouse when gaming, instead of a special purpose gaming input device such as a joystick. This study compared the hitting speed and success rates of mouse and joystick for ... -
jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets
(Journal of Statistical Software;, Peer reviewed; Journal article, 2023)We introduce a Python library, called jumpdiff, which includes all necessary functions to assess jump-diffusion processes. This library includes functions which compute a set of non-parametric estimators of all contributions ... -
Kahler structures on quantum irreducible flag manifolds
(Journal of Geometry and Physics;Volume 145, November 2019, 103477, Journal article; Peer reviewed, 2019-07-11)We prove that all quantum irreducible flag manifolds admit Kähler structures, as defined by Ó Buachalla. In order to show this result, we also prove that the differential calculi defined by Heckenberger and Kolb are ... -
Knowledge-aware learning analytics for smart learning
(Procedia Computer Science;Volume 159, Journal article; Peer reviewed, 2019)With the increasing development and adoption of digital technologies for education, more data gathered from educational contexts are being analyzed to give actionable insights to stakeholders. As a data-driven approach for ... -
Kvasir-SEG: A Segmented Polyp Dataset
(Lecture Notes in Computer Science;Volume 11962, Conference object, 2019-12-24)Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In practice, it is difficult to find annotated medical images with corresponding segmentation masks. In this paper, we present Kvasir-SEG: ... -
Language and Metamorphosis Supervising Computer Science Students diagnosed with Asperger Syndrome
(NIK: Norsk Informatikkonferanse;, Journal article; Peer reviewed, 2012-11-01)Many, although not all people with autistic disorders like Asperger Syndrome, (AS), experience social hindrances and learning difficulties, although they have average or above average intelligence. They interpret the spoken ... -
Leading the game, losing the competition: identifying leaders and followers in a repeated game
(Journal article; Peer reviewed, 2016)We explore a new method for identifying leaders and followers, LF, in repeated games by analyzing an experimental, repeated (50 rounds) game where Row player shifts the payoff between small and large values – a type of ... -
Learning Analytics for Inclusive Higher Education
(28th International Conference on Computers in Education;Workshop Proceedings Volume II, Conference object, 2020-11-23)Learning analytics is gaining attention and increasingly being adopted in higher educational institutions. Research have shown that learning analytics is promising in addressing high priority issues in education such as ... -
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
(The International FLAIRS Conference Proceedings;Vol. 35 (2022): Proceedings of FLAIRS-35, Peer reviewed; Journal article, 2022-05-04)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). ... -
A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
(Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
Learning in Higher Education Under the Covid-19 Pandemic: Were Students More Engaged or Less?
(International Journal of English Linguistics;volume 11, issue 3, Peer reviewed; Journal article, 2021-05-17)This study explored students’ learning experiences in higher education during the Covid-19 pandemic. A journal writing methodology was used to extract learners’ reflective thoughts regarding their living and learning during ... -
Liaison invariants and the Hilbert scheme of codimension 2 subschemes in P^{n+2}
(Progress in Mathematics;Vol. 280, Chapter; Peer reviewed, 2010)In this paper we study the Hilbert scheme, Hilb(P), of equidimensional locally Cohen-Macaulay codimension 2 subschemes, with a special look to surfaces in P^4 and 3-folds in P^5, and the Hilbert scheme stratification H_c ... -
LiDAR-Based Obstacle Detection and Distance Estimation in Navigation Assistance for Visually Impaired
(Lecture Notes in Computer Science;Volume 13309, Conference object, 2022-06-16)People with visual impairments can face challenges with independent navigation and therefore may use traditional aids such as guide dogs, white canes, or a travel companion for navigation assistance. In recent years, ... -
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
(Lecture Notes in Computer Science;Volume 12606, Conference object, 2021-02-21)Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. ... -
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring
(Peer reviewed; Journal article, 2023)Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ... -
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
(Lecture Notes in Computer Science (LNCS);, Chapter; Peer reviewed; Conference object; Journal article, 2023)Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ... -
Literature review writing as a learner-centric process by beginner-level research students: How effective are rubrics for assessing students’ writing?
(European Journal of English Language and Literature Studies;Vol 9, Issue 4, 2021, Peer reviewed; Journal article, 2021)Developing academic writing skills is an essential part of most advanced-level degrees. Writing can help a student identify structure within a complex domain, organise thoughts, and communicate ideas. This study explores ... -
Locality-Aware Workflow Orchestration for Big Data
(MEDES: Management of Emergent Digital EcoSystems;MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Conference object, 2021-11-09)The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that ...