All Outputs (582)

Unveiling NLG Human-Evaluation Reproducibility: Lessons Learned and Key Insights from Participating in the ReproNLP Challenge (2023)
Presentation / Conference Contribution
Watson, L., & Gkatzia, D. (2023). Unveiling NLG Human-Evaluation Reproducibility: Lessons Learned and Key Insights from Participating in the ReproNLP Challenge. In Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems (69-74)

Human evaluation is crucial for NLG systems as it provides a reliable assessment of the quality, effectiveness, and utility of generated language outputs. However, concerns about the reproducibility of such evaluations have emerged, casting doubt on... Read More about Unveiling NLG Human-Evaluation Reproducibility: Lessons Learned and Key Insights from Participating in the ReproNLP Challenge.

Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks (2023)
Presentation / Conference Contribution
Yigit, Y., Chrysoulas, C., Yurdakul, G., Maglaras, L., & Canberk, B. (2023). Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. In 2023 IEEE Globecom Workshops (GC Wkshps). https://doi.org/10.1109/GCWkshps58843.2023.1046

As global Internet of Things (IoT) devices connectivity surges, a significant portion gravitates towards the Edge of Things (EoT) network. This shift prompts businesses to deploy infrastructure closer to end-users, enhancing accessibility. However, t... Read More about Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks.

Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength (2023)
Journal Article
Zenker, F., Dębowska-Kozłowska, K., Godden, D., Selinger, M., & Wells, S. (2023). Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength. Studies in Logic, Grammar and Rhetoric, 68(1), 133-167. https://doi.org/10.2478/slgr-2023-

Different approaches analyze the strength of a natural language argument in different ways. This paper contrasts the dialectical, structural, probabilistic (or Bayesian), computational, and empirical approaches by exemplarily applying them to a singl... Read More about Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength.

The stuff we swim in: Regulation alone will not lead to justifiable trust in AI (2023)
Journal Article
Powers, S. T., Linnyk, O., Guckert, M., Hannig, J., Pitt, J., Urquhart, N., …Weber, T. (2023). The stuff we swim in: Regulation alone will not lead to justifiable trust in AI. IEEE technology & society magazine, 42(4), 95-106. https://doi.org/10.1109/MT

Information technology is used ubiquitously and has become an integral part of everyday life. With the ever increasing pervasiveness and persuasiveness of Artificial Intelligence (AI), the function of socio-technical systems changes and must be consi... Read More about The stuff we swim in: Regulation alone will not lead to justifiable trust in AI.

Students’ gendered experiences of male-dominated Computing and Engineering courses (2023)
Presentation / Conference Contribution
Taylor-Smith, E., Smith, S., & Fabian, K. (2023, December). Students’ gendered experiences of male-dominated Computing and Engineering courses. Presented at 2023 SRHE International Research Conference, Birmingham, UK

How does it feel to be in a gender minority on a STEM programme? Does it have an impact on individual students? Via an online survey (n=255), undergraduate students on Computing and Engineering programmes were asked whether they felt that gender had... Read More about Students’ gendered experiences of male-dominated Computing and Engineering courses.

Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory (2023)
Presentation / Conference Contribution
Taylor-Smith, E., Smith, S., & Bratton, A. (2023, December). Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory. Presented at 2023 SRHE International Research Conference, Birmingham, UK

Degree apprentices have reported finding work-life-study balance challenging. This study uses the Theory of Conservation of Resources (COR) to investigate the resources invested and gained by apprentices in the achievement of their goal of a degree w... Read More about Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory.

Reliability Analysis of Fault Tolerant Memory Systems (2023)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Amine Ferrag, M., Moradpoor, N., & Lambropoulos, G. (2023). Reliability Analysis of Fault Tolerant Memory Systems. In 2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conferen

This paper delves into a comprehensive analysis of fault-tolerant memory systems, focusing on recovery techniques modelled using Markov chains to address transient errors. The study revolves around the application of scrubbing methods in conjunction... Read More about Reliability Analysis of Fault Tolerant Memory Systems.

Informative Causality-based Vehicle Trajectory Prediction Architecture for Domain Generalization (2023)
Presentation / Conference Contribution
Mao, C., Zhao, L., Min, G., Hawbani, A., Al-Dubai, A. Y., & Zomaya, A. Y. (2023). Informative Causality-based Vehicle Trajectory Prediction Architecture for Domain Generalization. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. https://doi

Vehicle trajectory prediction is a promising technology for improving the performance of Cellular Vehicle-to Everything (C-V2X) applications by providing future road states. Various vehicle trajectory prediction methods have been proposed to increase... Read More about Informative Causality-based Vehicle Trajectory Prediction Architecture for Domain Generalization.

YASF: A Vendor-Agnostic Framework for Serverless Computing (2023)
Presentation / Conference Contribution
Giacomini, M., & Ullah, A. (2023). YASF: A Vendor-Agnostic Framework for Serverless Computing. In M. van Steen, & C. Pahl (Eds.), Proceedings of the 13th International Conference on Cloud Computing and Services Science (46-56). https://doi.org/10.5220/001

The serverless execution model allows application developers to deploy their software using tiny functions with zero administration, no handling of resource provisioning, monitoring and scaling. Due to such advantages, the serverless model emerged as... Read More about YASF: A Vendor-Agnostic Framework for Serverless Computing.

Video Games, Historical Representation and Soft Power (2023)
Journal Article
Donald, I., Webber, N., & Wright, E. (2023). Video Games, Historical Representation and Soft Power. Journal of Gaming and Virtual Worlds, 15(2), 105-127. https://doi.org/10.1386/jgvw_00075_1

This article explores how historical video games have become tools for UK and Chinese ‘soft power’ or ‘public diplomacy’ and the role of historical representation in portraying cultural identity in the global marketplace. In the UK, state support has... Read More about Video Games, Historical Representation and Soft Power.

The shifting goalposts of Digital Technology Skills in Scotland (2023)
Presentation / Conference Contribution
Meharg, D., & Tungli, T. (2023, December). The shifting goalposts of Digital Technology Skills in Scotland. Presented at SRHE International Conference 2023, Birmingham, UK

Digital technologies and skills are critical to economic growth and embedded in everyday life 1. This paper presents a work-in-progress study that examines the effect of education policy on digital skills within Scotland. Through literature analysis,... Read More about The shifting goalposts of Digital Technology Skills in Scotland.

TaskMaster: A Novel Cross-platform Task-based Spoken Dialogue System for Human-Robot Interaction (2023)
Presentation / Conference Contribution
Strathearn, C., Yu, Y., & Gkatzia, D. (2023). TaskMaster: A Novel Cross-platform Task-based Spoken Dialogue System for Human-Robot Interaction. In Proceedings of The Joint CUI and HRI Workshop at HRI 2023

The most effective way of communication between humans and robots is through natural language communication. However, there are many challenges to overcome before robots can effectively converse in order to collaborate and work together with humans.... Read More about TaskMaster: A Novel Cross-platform Task-based Spoken Dialogue System for Human-Robot Interaction.

PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping (2023)
Presentation / Conference Contribution
Wang, Z., Liu, Q., & Liu, X. (2023, August). PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping. Presented at The 9th IEEE International Conference on Privacy Computing and Data Security (PCDS 2023) as Part of the IEEE Smart Wo

The rapid growth of private data from distributed edge networks, driven by the proliferation of IoT sensors, wearable devices, and smartphones, offers significant opportunities for AI applications. However, traditional distributed machine learning me... Read More about PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping.

Playing with the dead: transmedia narratives and the Walking Dead games (2023)
Book Chapter
Donald, I., & Austin, H. J. (2023). Playing with the dead: transmedia narratives and the Walking Dead games. In R. Yilmaz, M. N. Erdem, & F. Resuloğlu (Eds.), Research anthology on game design, development, usage, and social impact (1435-1456). IGI Globa

This chapter discusses the theory and practice of transmedia narratives within the storyworld created by Robert Kirkman, Tony Moore and Charlie Adlard's comics series The Walking Dead. It examines key aspects from the comics series and AMC's adaptive... Read More about Playing with the dead: transmedia narratives and the Walking Dead games.

Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP (2023)
Presentation / Conference Contribution
Datta, S., Ganguly, D., Mothe, J., & Ullah, M. Z. (2023). Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP. In Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop co

In information retrieval, query performance prediction aims to predict whether a search engine is likely to succeed in retrieving potentially relevant documents to a user's query. This problem is usually cast into a regression problem where a machine... Read More about Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP.

Lessons Learnt from An Online Pilot Study About Strategic Alignment at A Higher Education Institution (2023)
Presentation / Conference Contribution
Kachale, T., Demeke, W., Chrysoulas, C., & Romdhani, I. (2023, March). Lessons Learnt from An Online Pilot Study About Strategic Alignment at A Higher Education Institution. Presented at 16th IADIS International Conference on Information Systems (IS 2023)

This article is a report on the lessons learned when conducting an interpretive case study in a developing country. From the literature review, it was apparent that there are few reported lessons from pilot studies about strategic alignment in higher... Read More about Lessons Learnt from An Online Pilot Study About Strategic Alignment at A Higher Education Institution.

SARS-CoV-2, Ventilation Strategies, Thermal Comfort and Carbon Implications for Buildings (2023)
Presentation / Conference Contribution
Sajjadian, S. M. (2023). SARS-CoV-2, Ventilation Strategies, Thermal Comfort and Carbon Implications for Buildings. In PLEA STGO 2022: Book of Proceedings Volume 1 (160-164)

The spread of SARS-CoV-2 since 2019 has rapidly become a global crisis with unprecedented records of deaths and hospitalizations in the last century. The infectious particles spread more easily indoors than outdoors and therefore built environment se... Read More about SARS-CoV-2, Ventilation Strategies, Thermal Comfort and Carbon Implications for Buildings.

A novel end-to-end deep convolutional neural network based skin lesion classification framework (2023)
Journal Article
A., R. S., Chamola, V., Hussain, A., Hussain, Z., & Albalwy, F. (2024). A novel end-to-end deep convolutional neural network based skin lesion classification framework. Expert Systems with Applications, 246, Article 123056. https://doi.org/10.1016/j.eswa.

Background: Skin diseases are reported to contribute 1.79% of the global burden of disease. The accurate diagnosis of specific skin diseases is known to be a challenging task due, in part, to variations in skin tone, texture, body hair, etc. Classif... Read More about A novel end-to-end deep convolutional neural network based skin lesion classification framework.

Library catalogue’s search interface: Making the most of subject metadata (2023)
Journal Article
Golub, K., Gnoli, C., Haynes, D., Salaba, A., Shiri, A., & Slavic, A. (in press). Library catalogue’s search interface: Making the most of subject metadata. Knowledge Organization,

This article addresses the underutilization of knowledge organization systems (KOS) elements in online library catalogues, hindering effective subject-based search and discovery. It highlights the International Society for Knowledge Organization's in... Read More about Library catalogue’s search interface: Making the most of subject metadata.

Multi-modal Features Representation-based Convolutional Neural Network Model for Malicious Website Detection (2023)
Journal Article
Alsaedi, M., Ghaleb, F. A., Saeed, F., Ahmad, J., & Alasli, M. (2024). Multi-modal Features Representation-based Convolutional Neural Network Model for Malicious Website Detection. IEEE Access, 12, 7271 - 7284. https://doi.org/10.1109/access.2023.3348071

Web applications have proliferated across various business sectors, serving as essential tools for billions of users in their daily lives activities. However, many of these applications are malicious which is a major threat to Internet users as they... Read More about Multi-modal Features Representation-based Convolutional Neural Network Model for Malicious Website Detection.