All Outputs (2001)

Generic stacks and application of composite rules for the detailed sizing of laminated structures (2021)
Journal Article
Ntourmas, G., Glock, F., Daoud, F., Schuhmacher, G., Chronopoulos, D., & Özcan, E. (2021). Generic stacks and application of composite rules for the detailed sizing of laminated structures. Composite Structures, 276, Article 114487. https://doi.org/10.1016/j.compstruct.2021.114487

Two-stage approaches are commonly applied to optimise the stacking sequence of large-scale composite structures. The two stages consist of a gradient and non-gradient based optimisation addressing the mixed nature of continuous and discrete constrain... Read More about Generic stacks and application of composite rules for the detailed sizing of laminated structures.

Do People Prefer to Give Interval-Valued or Point Estimates and Why? (2021)
Presentation / Conference Contribution
Ellerby, Z., & Wagner, C. (2021). Do People Prefer to Give Interval-Valued or Point Estimates and Why?. In Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021) (1-6). https://doi.org/10.1109/FUZZ45933.2021.9494507

Capturing interval-valued, as opposed to more conventional point-valued data, offers a potentially efficient method of obtaining richer information in individual responses. In turn, interval-valued data provide a strong foundation for subsequent fuzz... Read More about Do People Prefer to Give Interval-Valued or Point Estimates and Why?.

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation (2021)
Presentation / Conference Contribution
Lin, Q., Chen, X., Chen, C., & Garibaldi, J. M. (2021). FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494456

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images. Most recent studies have c... Read More about FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.

From computer ethics and the ethics of AI towards an ethics of digital ecosystems (2021)
Journal Article
Stahl, B. C. (2022). From computer ethics and the ethics of AI towards an ethics of digital ecosystems. AI and Ethics, 2(1), 65-77. https://doi.org/10.1007/s43681-021-00080-1

Ethical, social and human rights aspects of computing technologies have been discussed since the inception of these technologies. In the 1980s, this led to the development of a discourse often referred to as computer ethics. More recently, since the... Read More about From computer ethics and the ethics of AI towards an ethics of digital ecosystems.

Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism (2021)
Presentation / Conference Contribution
Standen, P. J., Brown, D. J., Kwiatkowska, G. M., Belmonte, M. K., Galvez Trigo, M. J., Boulton, H., …Traversi, M. (2021). Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism. In R. A. Sottilare, & J. Schwarz (Eds.), Adaptive Instructional Systems. Design and Evaluation : Third International Conference, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I. https://doi.org/10.1007/978-3-030-77857-6

Adoption of e-learning for those with special needs lags that for mainstream learners. Not much is known about barriers and facilitators that drive this disparity. The present study used focus groups and interviews to collect the views of 21 teachers... Read More about Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism.

A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks (2021)
Journal Article
Xue, Y., Jiang, P., Neri, F., & Liang, J. (2021). A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks. International Journal of Neural Systems, 31(09), Article 2150035. https://doi.org/10.1142/S0129065721500350

With the development of deep learning, the design of an appropriate network structure becomes fundamental. In recent years, the successful practice of Neural Architecture Search (NAS) has indicated that an automated design of the network structure ca... Read More about A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks.

Automated design of search algorithms: Learning on algorithmic components (2021)
Journal Article
Meng, W., & Qu, R. (2021). Automated design of search algorithms: Learning on algorithmic components. Expert Systems with Applications, 185, Article 115493. https://doi.org/10.1016/j.eswa.2021.115493

This paper proposes AutoGCOP, a new general framework for automated design of local search algorithms. In a recently established General Combinatorial Optimisation Problem (GCOP) model, the problem of algorithm design itself is defined as a combinato... Read More about Automated design of search algorithms: Learning on algorithmic components.

The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents (2021)
Journal Article
Borsci, S., Malizia, A., Schmettow, M., van der Velde, F., Tariverdiyeva, G., Balaji, D., & Chamberlain, A. (2022). The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents. Personal and Ubiquitous Computing, 26(1), 95-119. https://doi.org/10.1007/s00779-021-01582-9

Standardised tools to assess a user's satisfaction with the experience of using chatbots and conversational agents are currently unavailable. This work describes four studies; including a systematic literature review, with an overall sample of 141 pa... Read More about The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents.

Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning (2021)
Presentation / Conference Contribution
Calderon-Ramırez, S., Murillo-Hernandez, D., Rojas-Salazar, K., Calvo-Valverde, L.-A., Yang, S., Moemeni, A., …Molina-Cabello, M. (2021). Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning. . https://doi.org/10.1109/IJCNN52387.2021.9533719

Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning model under real world scenari... Read More about Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning.

Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images (2021)
Journal Article
Calderon-Ramirez, S., Yang, S., Moemeni, A., Elizondo, D., Colreavy-Donnelly, S., Chavarría-Estrada, L. F., & Molina-Cabello, M. A. (2021). Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Applied Soft Computing, 111, Article 107692. https://doi.org/10.1016/j.asoc.2021.107692

A key factor in the fight against viral diseases such as the coronavirus (COVID-19) is the identification of virus carriers as early and quickly as possible, in a cheap and efficient manner. The application of deep learning for image classification o... Read More about Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.

Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox (2021)
Presentation / Conference Contribution
Razak, T. R., Chen, C., Garibaldi, J. M., & Wagner, C. (2021). Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ45933.2021.9494485

The use of Hierarchical Fuzzy Systems (HFS) has been well acknowledged as a good approach in reducing the complexity and improving the interpretability of fuzzy logic systems (FLS). Over the past years, many fuzzy logic toolkits have been made availa... Read More about Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox.

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems (2021)
Presentation / Conference Contribution
Chen, C., Zhao, Y., Wagner, C., Pekaslan, D., & Garibaldi, J. M. (2021). An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494472

Recent years have seen a surge in interest in non-singleton fuzzy systems. These systems enable the direct modelling of uncertainty affecting systems' inputs using the fuzzification stage. Moreover, recent work has shown how different composition app... Read More about An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems.

Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement (2021)
Journal Article
Spence, J., Darzentas, D., Cameron, H., Huang, Y., Adams, M., Farr, J. R., …Benford, S. (2022). Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement. Human-Computer Interaction, 37(2), 180-210. https://doi.org/10.1080/07370024.2021.1923496

HCI has recently increased its interest in the domains of museums and gifting. The former is often oriented primarily towards the past, while the latter is often oriented towards the future, in terms of anticipating the receiver’s reactions. Our arti... Read More about Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement.

The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework (2021)
Journal Article
Smith, R., Janicke, H., He, Y., Ferra, F., & Albakri, A. (2021). The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework. Computers and Security, 109, Article 102398. https://doi.org/10.1016/j.cose.2021.102398

Cyber incident response within Industrial Control Systems (ICS) is characterised by high levels of uncertainty and unpredictability and requires a multi-disciplined team that encompasses personnel business operations, Operational Technology (OT), IT,... Read More about The Agile Incident Response for Industrial Control Systems (AIR4ICS) framework.

Intrusion Detection System Based on an Updated ANN Model (2021)
Presentation / Conference Contribution
Xue, Y., Onzo, B.-M., & Neri, F. (2021). Intrusion Detection System Based on an Updated ANN Model. In Y. Tan, & Y. Shi (Eds.), Advances in Swarm Intelligence : 12th International Conference, ICSI 2021, Qingdao, China, July 17–21, 2021, Proceedings, Part II (472-479). https://doi.org/10.1007/978-3-030-78811-7_44

An intrusion detection system (IDS) is a software application or hardware appliance that monitors traffic on networks and systems to search for suspicious activity and known threats, sending up alerts when it finds such items. In these recent years,... Read More about Intrusion Detection System Based on an Updated ANN Model.

Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution (2021)
Journal Article
Vaud, S., Pearcy, N., Hanževački, M., Van Hagen, A. M., Abdelrazig, S., Safo, L., …Bryan, S. J. (2021). Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution. Metabolic Engineering, 67, 308-320. https://doi.org/10.1016/j.ymben.2021.07.001

Ethylene is a small hydrocarbon gas widely used in the chemical industry. Annual worldwide production currently exceeds 150 million tons, producing considerable amounts of CO2 contributing to climate change. The need for a sustainable alternative is... Read More about Engineering improved ethylene production: Leveraging systems Biology and adaptive laboratory evolution.

Placing AI in the Creative Industries: The Case for Intelligent Music Production (2021)
Book Chapter
McGarry, G., Chamberlain, A., Crabtree, A., & Greenhalgh, C. (2021). Placing AI in the Creative Industries: The Case for Intelligent Music Production. . Springer. https://doi.org/10.1007/978-3-030-78635-9_72

The digital transformation of the recording industry is one of the most well-known in recent times, with the Digital Audio Workstation (DAW) making new methods of music production available to amateurs and professionals in almost any setting beyond t... Read More about Placing AI in the Creative Industries: The Case for Intelligent Music Production.

The Digital Network of Networks: Regulatory Risk and Policy Challenges of Vaccine Passports (2021)
Journal Article
Wilford, S. H., McBride, N., Brooks, L., Eke, D. O., Akintoye, S., Owoseni, A., …Stacey, M. (2021). The Digital Network of Networks: Regulatory Risk and Policy Challenges of Vaccine Passports. European Journal of Risk Regulation, 12(2), 393-403. https://doi.org/10.1017/err.2021.35

The extensive disruption to and digital transformation of travel administration across borders largely due to COVID-19 mean that digital vaccine passports are being developed to resume international travel and kick-start the global economy. Currently... Read More about The Digital Network of Networks: Regulatory Risk and Policy Challenges of Vaccine Passports.

Developing a cyber security culture: Current practices and future needs (2021)
Journal Article
Uchendu, B., Nurse, J. R., Bada, M., & Furnell, S. (2021). Developing a cyber security culture: Current practices and future needs. Computers and Security, 109, Article 102387. https://doi.org/10.1016/j.cose.2021.102387

While the creation of a strong security culture has been researched and discussed for decades, it continues to elude many businesses. Part of the challenge faced is distilling pertinent, recent academic findings and research into useful guidance. In... Read More about Developing a cyber security culture: Current practices and future needs.

Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification (2021)
Presentation / Conference Contribution
Emsley, I., & Chamberlain, A. (2021). Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification. In WebSci '21 Companion: Companion Publication of the 13th ACM Web Science Conference 2021 (50-52). https://doi.org/10.1145/3462741.3466667

In this paper, we present our initial findings in using digital methods to consider the way that different devices can connect to the same object. We take a more experimental view of the ways in which network data might be used in compositions to hel... Read More about Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification.