Investigating Markers and Drivers of Gender Bias in Machine Translations
Conference Proceeding
Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world ...
Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety
Conference Proceeding
Charissis, V. (in press)
Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety. In Proceedings of the International Display Workshops (IDW '23)
This project investigates the use of an AI codriver that could support the driver's decision-making process. The information is presented through AR HUD and audio. The evaluat...
Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics
Conference Proceeding
Pan, Y., Zhang, R., Wang, J., Ding, Y., & Mitchell, K. (2023)
Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics. In MM '23: Proceedings of the 31st ACM International Conference on Multimedia (6851-6859). https://doi.org/10.1145/3581783.3613803
Our aim is to improve animation production techniques' efficiency and effectiveness. We present two real-time solutions which drive character expressions in a geometrically co...
A Comparative Study of Assessment Metrics for Imbalanced Learning
Conference Proceeding
Farou, Z., Aharrat, M., & Horváth, T. (2023)
A Comparative Study of Assessment Metrics for Imbalanced Learning. In New Trends in Database and Information Systems: ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings (119-129). https://doi.org/10.1007/978-3-031-42941-5_11
There are several machine learning algorithms addressing class imbalance problem, requiring standardized metrics for adequete performance evaluation. This paper reviews severa...
Towards individualised speech enhancement: An SNR preference learning system for multi-modal hearing aids
Conference Proceeding
Since the advent of deep learning (DL), speech enhancement (SE) models have performed well under a variety of noise conditions. However, such systems may still introduce sonic...
Direct entrants as route guides to the higher education landscape
Conference Proceeding
Taylor-Smith, E., Meharg, D., & Fabian, K. (2022)
Direct entrants as route guides to the higher education landscape. In SRHE International Conference 2022
Students who study for an HND at further education college and then join the university directly into the 3 rd year of their honours degree are a valuable segment of our acade...
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...
Can Gamification Improve User Experience (UX) of Servitization in the Financial and Construction Sector?
Conference Proceeding
Khan, M. S., Charissis, V., & Harrison, D. K. (2022)
Can Gamification Improve User Experience (UX) of Servitization in the Financial and Construction Sector?. In HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games (592-603). https://doi.org/10.1007/978-3-031-22131-6_44
The monetisation of the provision of consumer services rather than products is advantageous and leads to higher profit margins for the providing companies in comparison to the...
Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics
Conference Proceeding
Charissis, V., Khan, M. S., & Harrison, D. K. (2022)
Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics. In HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games (545-555). https://doi.org/10.1007/978-3-031-22131-6_40
The provision of services instead of the actual products is becoming a major area of interest for the products provision companies involved in the manufacturing, electronics a...
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations
Conference Proceeding
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (in press)
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.
Cause-effect graphs have been applied in non agent-based simulations, where they are used to model chained causal relations between input parameters and system behaviour measu...