All Outputs (2072)

Designing Blended Experiences (2021)
Presentation / Conference Contribution
O’Keefe, B., Flint, T., Sturdee, M., Mastermaker, M., & Benyon, D. (2021, June). Designing Blended Experiences. Presented at 2021 ACM Designing Interactive Systems (DIS), Online

The increasing ubiquity of interactions as a mix between digital content and physical objects and spaces, brings about new challenges for designers. There is a need to embed designs in legacy systems, whether those are existing physical structures or... Read More about Designing Blended Experiences.

Using novelty search to explicitly create diversity in ensembles of classifiers (2021)
Presentation / Conference Contribution
Cardoso, R. P., Hart, E., Kurka, D. B., & Pitt, J. V. (2021, July). Using novelty search to explicitly create diversity in ensembles of classifiers. Presented at GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France [Online]

The diversity between individual learners in an ensemble is known to influence its performance. However, there is no standard agreement on how diversity should be defined, and thus how to exploit it to construct a high-performing classifier. We propo... Read More about Using novelty search to explicitly create diversity in ensembles of classifiers.

Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses (2021)
Presentation / Conference Contribution
Frangulea, M., Pantos, C., Giuffrida, V., & Valente, J. (2021, July). Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses. Presented at 13th European Conference on Precision Agriculture, Budapest, Hungary

A tool for plant phenotyping is proposed to aid users in analyzing data on-demand. This tool is web-based and runs deep learning models. The current study focuses on the development of this tool, as well as obtaining a plant dataset to train a neural... Read More about Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses.

Secretation: Toward a Decentralised Identity and Verifiable Credentials Based Scalable and Decentralised Secret Management Solution (2021)
Presentation / Conference Contribution
Jaroucheh, Z., & Álvarez, I. A. (2021, May). Secretation: Toward a Decentralised Identity and Verifiable Credentials Based Scalable and Decentralised Secret Management Solution. Presented at 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Sydney, Australia

Secrets such as passwords, encryption keys, and certificates are used to assist in protecting access to resources such as computing devices, customer data and other information. Unauthorised access to resources can cause significant disruption and/or... Read More about Secretation: Toward a Decentralised Identity and Verifiable Credentials Based Scalable and Decentralised Secret Management Solution.

ICT in context: co-designing energy efficiency ICT-based interventions from the ground up (2021)
Presentation / Conference Contribution
Morton, A., Reeves, A., & Bull, R. (2021, June). ICT in context: co-designing energy efficiency ICT-based interventions from the ground up. Presented at eceee Summer Study - Energy Efficiency: a new reality?, Online

In an ever-increasing digital environment, the need for successful utilisation of Information and Communication Technologies (ICT) within energy efficiency interventions is never more prominent. The use of ICT can aid the digitalisation of actions, i... Read More about ICT in context: co-designing energy efficiency ICT-based interventions from the ground up.

SANCUS–Towards Unifying the Analysis and Control of Security, Privacy and Service Reliability (2021)
Presentation / Conference Contribution
Zarakovitis, C., Pitropakis, N., Klonidis, D., & Khalife, H. (2021, June). SANCUS–Towards Unifying the Analysis and Control of Security, Privacy and Service Reliability. Poster presented at EuCNC & 6G Summit, Grenoble, France

The arrival of new technologies change the global digital landscape in many ways. In the past years, for example, network virtualization and cloud computing have given raise to organizations for meeting their everyday needs in an elastic manner witho... Read More about SANCUS–Towards Unifying the Analysis and Control of Security, Privacy and Service Reliability.

Speculative Design in Education: Mapping the Landscape (2021)
Presentation / Conference Contribution
Helgason, I., Mitrović, I., Hanna, J., Auger, J., Encinas, E., & Smyth, M. (2021). Speculative Design in Education: Mapping the Landscape. In Design Culture(s). Cumulus Conference Proceedings Roma 2021, Volume #2

This paper presents findings from a recent European-wide study on the use of Speculative Design approaches within education. The study included a survey of design educators and interviews with Speculative Design practitioners. This data has contribut... Read More about Speculative Design in Education: Mapping the Landscape.

The RIVAL project: how to build a new network from scratch; how to adapt to enforced online delivery (2021)
Presentation / Conference Contribution
Ryan, B. (2021, June). The RIVAL project: how to build a new network from scratch; how to adapt to enforced online delivery. Paper presented at CILIPS, Online

The RIVAL project (https://lisrival.com) aimed to build a ‘collaborative network of Scotland-based Library and Information Science (LIS) researchers and practising library and information professionals interested in maximising the impact and value of... Read More about The RIVAL project: how to build a new network from scratch; how to adapt to enforced online delivery.

Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries (2021)
Presentation / Conference Contribution
Appleton, L., & Hall, H. (2021, May). Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries. Paper presented at 13th Qualitative and Quantitative Methods in Libraries International Conference, Athens, Greece

The purpose of this paper is to present the experiences of using a longitudinal focus group method in a library and information science research project. This was developed and used in a recent doctoral study about the role that public libraries in E... Read More about Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries.

Towards An SDN Assisted IDS (2021)
Presentation / Conference Contribution
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C., & Dagiuklas, T. (2021, April). Towards An SDN Assisted IDS. Presented at IFIP NTMS Workshop on CyberSecurity on Hardware 2021, Paris, France

Modern Intrusion Detection Systems are able to identify and check all traffic crossing the network segments that they are only set to monitor. Traditional network infrastructures use static detection mechanisms that check and monitor specific types o... Read More about Towards An SDN Assisted IDS.

Practical defences against model inversion attacks for split neural networks (2021)
Presentation / Conference Contribution
Titcombe, T., Hall, A. J., Papadopoulos, P., & Romanini, D. (2021, May). Practical defences against model inversion attacks for split neural networks. Paper presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online

We describe a threat model under which a split network-based federated learning system is susceptible to a model inversion attack by a malicious computational server. We demonstrate that the attack can be successfully performed with limited knowledge... Read More about Practical defences against model inversion attacks for split neural networks.

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN (2021)
Presentation / Conference Contribution
Romanini, D., Hall, A. J., Papadopoulos, P., Titcombe, T., Ismail, A., Cebere, T., Sandmann, R., Roehm, R., & Hoeh, M. A. (2021, May). PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. Poster presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online

We introduce PyVertical, a framework supporting vertical federated learning using split neural networks. The proposed framework allows a data scientist to train neural networks on data features vertically partitioned across multiple owners while keep... Read More about PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN.

Embodied online dance learning objectives of CAROUSEL + (2021)
Presentation / Conference Contribution
Mitchell, K., Koniaris, B., Tamariz, M., Kennedy, J., Cheema, N., Mekler, E., Van Der Linden, P., Herrmann, E., Hämäläinen, P., McGregor, I., Slusallek, P., & Mac Williams, C. (2021, March). Embodied online dance learning objectives of CAROUSEL +. Presented at 2021 IEEE VR 6th Annual Workshop on K-12+ Embodied Learning through Virtual and Augmented Reality (KELVAR), Lisbon, Portugal

This is a position paper concerning the embodied dance learning objectives of the CAROUSEL + 1 project, which aims to impact how online immersive technologies influence multiuser interaction and communication with a focus on dancing and learning danc... Read More about Embodied online dance learning objectives of CAROUSEL +.

It's Common Sense, isn't it? Demystifying Human Evaluations in Commonsense-enhanced NLG systems (2021)
Presentation / Conference Contribution
Mahamood, S., Clinciu, M., & Gkatzia, D. (2021). It's Common Sense, isn't it? Demystifying Human Evaluations in Commonsense-enhanced NLG systems. In Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)

Common sense is an integral part of human cognition which allows us to make sound decisions , communicate effectively with others and interpret situations and utterances. Endowing AI systems with commonsense knowledge capabilities will help us get cl... Read More about It's Common Sense, isn't it? Demystifying Human Evaluations in Commonsense-enhanced NLG systems.

Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions (2021)
Presentation / Conference Contribution
Sajjad, U., Arshad, Ahmad, J., & Shoaib, S. (2021, January). Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions. Presented at 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), St. Petersburg, Moscow, Russia

Safe and reliable delivery of power through transmission lines mainly depends on the quality condition of the high voltage insulators. In the last few decades, demand in polymeric insulator has been dramatically increased due to their advanced perfor... Read More about Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions.

Automated, Explainable Rule Extraction from MAP-Elites archives (2021)
Presentation / Conference Contribution
Urquhart, N., Höhl, S., & Hart, E. (2021, April). Automated, Explainable Rule Extraction from MAP-Elites archives. Presented at EvoAPPs2021, Online

Quality-diversity(QD) algorithms that return a large archive of elite solutions to a problem provide insights into how high-performing solutions are distributed throughout a feature-space defined by a user — they are often described as illuminating t... Read More about Automated, Explainable Rule Extraction from MAP-Elites archives.

WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets (2021)
Presentation / Conference Contribution
Pitt, J., Burth Kurka, D., Hart, E., & Cardoso, R. P. (2021, April). WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. Presented at 24th European Conference, EvoApplications 2021, Online

In order to address scalability issues, which can be a challenge for Deep Learning methods, we propose Wide Learning of Diverse Architectures-a model that scales horizontally rather than vertically, enabling distributed learning. We propose a distrib... Read More about WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets.

Real Time Optimisation of Traffic Signals to Prioritise Public Transport (2021)
Presentation / Conference Contribution
Plötz, P., Wittpohl, M., & Urquhart, N. (2021, April). Real Time Optimisation of Traffic Signals to Prioritise Public Transport. Presented at EvoApplications 2021, Online

This paper examines the optimisation of traffic signals to prioritise public transportation (busses) in real time. A novel representation for the traffic signal prioritisation problem is introduced. Through the novel representation a creative evoluti... Read More about Real Time Optimisation of Traffic Signals to Prioritise Public Transport.

"What's this?" Comparing Active learning Strategies for Concept Acquisition in HRI (2021)
Presentation / Conference Contribution
Belvedere, F., & Gkatzia, D. (2021, March). "What's this?" Comparing Active learning Strategies for Concept Acquisition in HRI. Presented at HRI'21: ACM/IEEE International Conference on Human-Robot Interaction, Online

Social robotics aim to equip robots with the ability to exhibit socially intelligent behaviour while interacting in a face-to-face context with human partners. An important aspect of face-to-face social interaction includes the efficient recognition... Read More about "What's this?" Comparing Active learning Strategies for Concept Acquisition in HRI.

The socio-material nature of careers work: An exploration of knowledge co-creation amongst career practitioners (2021)
Presentation / Conference Contribution
Milosheva, M., Hall, H., Robertson, P., Cruickshank, P., & Lyall, C. (2021, March). The socio-material nature of careers work: An exploration of knowledge co-creation amongst career practitioners. Poster presented at iConference 2021, Beijing, China

While knowledge co-creation is a main source of innovation in organisations, little is known about the co-creation of knowledge in career settings, particularly in the context of career guidance. This study represents a novel contribution in the cons... Read More about The socio-material nature of careers work: An exploration of knowledge co-creation amongst career practitioners.