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Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java (2020)
Presentation / Conference Contribution
D'Alterio, P., Garibaldi, J. M., John, R. I., & Wagner, C. (2020, July). Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java. Presented at IEEE World Congress on Computational Intelligence (WCCI) 2020, Glasgow, UK

Constrained interval type-2 (CIT2) fuzzy sets are a class of type-2 fuzzy sets that has been recently proposed as a way to extend type-1 membership functions to interval type-2 (IT2) while keeping a semantic connection between the IT2 fuzzy set and t... Read More about Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java.

Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI) (2020)
Presentation / Conference Contribution
D'Alterio, P., Garibaldi, J. M., & John, R. I. (2020, July). Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI). Presented at IEEE World Congress on Computational Intelligence (WCCI) 2020, Glasgow, UK

In recent year, there has been a growing need for intelligent systems that not only are able to provide reliable classifications but can also produce explanations for the decisions they make. The demand for increased explainability has led to the eme... Read More about Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI).

Developing a measure of online wellbeing and user trust (2020)
Book Chapter
DOWTHWAITE, L., Perez Vallejos, E., Creswick, H., Portillo, V., Patel, M., & Zhao, J. (2020). Developing a measure of online wellbeing and user trust. In M. Arias-Oliva, J. Pelegrín-Borondo, K. Murata, & A. María Lara Palma (Eds.), Societal Challenges in the Smart Society (21-33). Universidad de La Rioja

Intention-Aware Multiagent Scheduling (2020)
Presentation / Conference Contribution
Dann, M., Thangarajah, J., Yao, Y., & Logan, B. (2020, May). Intention-Aware Multiagent Scheduling. Presented at 19th International Conference on Autonomous Agents and Multiagent Systems, Auckland, New Zealand

The Belief Desire Intention (BDI) model of agency is a popular and mature paradigm for designing and implementing multiagent systems. There are several agent implementation platforms that follow the BDI model. In BDI systems, the agents typically hav... Read More about Intention-Aware Multiagent Scheduling.

Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks (2020)
Journal Article
Soltaninejad, M., Sturrock, C. J., Griffiths, M., Pridmore, T. P., & Pound, M. P. (2020). Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks. IEEE Transactions on Image Processing, 29, 6667-6679. https://doi.org/10.1109/TIP.2020.2992893

© 1992-2012 IEEE. We address the complex problem of reliably segmenting root structure from soil in X-ray Computed Tomography (CT) images. We utilise a deep learning approach, and propose a state-of-the-art multi-resolution architecture based on enco... Read More about Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks.

Objective Assessment of Subjective Tasks in Crowdsourcing Applications (2020)
Presentation / Conference Contribution
Haralabopoulos, G., Tsikandilakis, M., Torres, M. T., & Mcauley, D. (2020, May). Objective Assessment of Subjective Tasks in Crowdsourcing Applications. Presented at Language Resources and Evaluation Conference (LREC 2020), Marseille, France

Labelling, or annotation, is the process by which we assign labels to an item with regards to a task. In some Artificial Intelligence problems, such as Computer Vision tasks, the goal is to obtain objective labels. However, in problems such as text a... Read More about Objective Assessment of Subjective Tasks in Crowdsourcing Applications.

Immune-Instructive Polymers Control Macrophage Phenotype and Modulate the Foreign Body Response In Vivo (2020)
Journal Article
Rostam, H. M., Fisher, L. E., Hook, A. L., Burroughs, L., Luckett, J. C., Figueredo, G. P., Mbadugha, C., Teo, A. C., Latif, A., Kämmerling, L., Day, M., Lawler, K., Barrett, D., Elsheikh, S., Ilyas, M., Winkler, D. A., Alexander, M. R., & Ghaemmaghami, A. M. (2020). Immune-Instructive Polymers Control Macrophage Phenotype and Modulate the Foreign Body Response In Vivo. Matter, 2(6), 1564-1581. https://doi.org/10.1016/j.matt.2020.03.018

© 2020 The Author(s) Implantation of medical devices can result in inflammation. A large library of polymers is screened, and a selection found to promote macrophage differentiation towards pro- or anti-inflammatory phenotypes. The bioinstructive pro... Read More about Immune-Instructive Polymers Control Macrophage Phenotype and Modulate the Foreign Body Response In Vivo.

Sensitizing Scenarios: Sensitizing Designer Teams to Theory (2020)
Presentation / Conference Contribution
Waern, A., Rajkowska, P., Johansson, K. B., Back, J., Spence, J., & Løvlie, A. S. (2020, April). Sensitizing Scenarios: Sensitizing Designer Teams to Theory. Presented at CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu HI USA

Concepts and theories that emerge within the social sciences tend to be nuanced, dealing with complex social phenomena. While their relevance to design could be high, it is difficult to make sense of them in design projects, especially when participa... Read More about Sensitizing Scenarios: Sensitizing Designer Teams to Theory.

Parameterised Resource-Bounded ATL (2020)
Presentation / Conference Contribution
Alechina, N., Demri, S., & Logan, B. (2020, February). Parameterised Resource-Bounded ATL. Presented at Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY, USA

It is often advantageous to be able to extract resource requirements in resource logics of strategic ability, rather than to verify whether a fixed resource requirement is sufficient for achieving a goal. We study Parameterised Resource-Bounded Alter... Read More about Parameterised Resource-Bounded ATL.