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Small Languages and Big Models: Using ML to Generate Norwegian Language Social Media Content for Training Purposes
The advancement of language models has showcased their tremendous potential for both good purposes, and harmful misuse. However, the majority of... -
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Self-supervised learning has been a powerful training paradigm to facilitate representation learning. In this study, we design a masked autoencoder... -
Enhancing Cognitive Rehabilitation with Augmented Reality: The Role of Virtual Characters in Attention Restoration
This study investigates the efficacy of Augmented Reality (AR) in enhancing attention restoration, leveraging the conceptual framework of Attention... -
A Virtual Reality Based Therapeutic Approach for Stuttering Intervention
Stuttering, a speech disorder with far-reaching effects on communication and emotional well-being, has long posed challenges for those affected. This... -
Z3VR - An Interactive VR Learning Environment for One of the First Computers (Konrad Zuse’s Z3)
This paper presents Z3VR, an interactive simulation of Konrad Zuse’s Z3 computer in a Virtual Reality (VR) environment, intended to give users the... -
Mixed-Integer Programming for Adaptive VR Workflow Training
With advances in consumer-grade virtual reality (VR) devices, VR training gains unprecedented attention in research and industries. Although the... -
A Context-Aware Framework to Support Decision-Making in Production Planning
In the scope of Industry 4.0, this paper showcases the design and implementation of a context-aware decision-making framework that simulates the... -
Implementation Patterns for Zone Architectures in Enterprise-Grade Data Lakes
In industry practice, zone models have been established as data lake architectures of choice to enable the reuse of data preparation, data modeling,... -
Designing Military Command and Control Systems as System of Systems – An Analysis of Stakeholder Needs and Challenges
In the context of capability development and to respond to the influence of new technology, a conceptual framework to support the integration of new... -
Variants of Variants: Context-Based Variant Analysis for Process Mining
An essential aspect of analyzing processes with process mining is the notion of variants. Analysts can make better decisions and improve processes by... -
On the Flexibility of Declarative Process Specifications
Declarative process specifications, such as Declare, provide a natural framework to capture flexible business processes. However, the specification... -
Improving Simplicity by Discovering Nested Groups in Declarative Models
Discovering simple, understandable and yet accurate process models is a well-known issue for models mined from real-life event logs. In this paper,... -
Improving Requirement Traceability by Leveraging Video Game Simulations in Search-Based Software Engineering
Video games pose different challenges during development and maintenance than classic software. For example, common and widespread assets, that are... -
Towards a Comprehensive Evaluation of Decision Rules and Decision Mining Algorithms Beyond Accuracy
Decision mining algorithms discover decision points and the corresponding decision rules in business processes. So far, the evaluation of decision... -
Observability for Quantum Workflows in Heterogeneous Multi-cloud Environments
Quantum workflows enable a robust, scalable, and reliable orchestration of hybrid applications comprising classical and quantum tasks. Varying... -
Exploration of User Experience in Virtual Reality Environment. A Systematic Review
Virtual Reality (VR) is a computer-generated simulation that immerses users in a three-dimensional environment, often using a head-mounted display... -
A Graph Language Modeling Framework for the Ontological Enrichment of Conceptual Models
Conceptual models (CMs) offer a structured way to organize and communicate information in information systems. However, current models lack adequate... -
Improving UX in Digital Transformation Projects Through Lean Principles
Today, digital transformation remains a key strategic objective for most companies. Through these processes, they seek to stay ahead in a constantly... -
Exploring a Behavioral Model of “Positive Friction” in Human-AI Interaction
Designing seamless, frictionless user experiences has long been a dominant trend in both applied behavioral science and artificial intelligence (AI),... -
Framework for a Project Methodology in Design - Interactions in Speculation and Fictional Futures
Exploring concepts such as speculation, fiction, and critical design in disciplines where creativity overcomes is an approach to identifying...