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Outputs (199)

FFM-SVD: A Novel Approach for Personality-aware Recommender Systems (2023)
Presentation / Conference Contribution
Widdeson, K., & Hadžidedić, S. (2022, December). FFM-SVD: A Novel Approach for Personality-aware Recommender Systems. Presented at 2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA), Abu Dhabi, UAE

This paper addresses and evaluates approaches to incorporating personality data into a recommender system. Automatic personality recognition is enabled by the LIWC dictionary. Personality-aware pre-filtering techniques are developed and discussed, wi... Read More about FFM-SVD: A Novel Approach for Personality-aware Recommender Systems.

Improved Distributed Algorithms for the Lovász Local Lemma and Edge Coloring (2023)
Presentation / Conference Contribution
Davies, P. (2023, January). Improved Distributed Algorithms for the Lovász Local Lemma and Edge Coloring. Presented at ACM-SIAM Symposium on Discrete Algorithms (SODA23), Florence, Italy

The Lovász Local Lemma is a classic result in probability theory that is often used to prove the existence of combinatorial objects via the probabilistic method. In its simplest form, it states that if we have n ‘bad events’, each of which occurs wit... Read More about Improved Distributed Algorithms for the Lovász Local Lemma and Edge Coloring.

Machine learning in general practice: scoping review of administrative task support and automation (2023)
Journal Article
Sørensen, N. L., Bemman, B., Jensen, M. B., Moeslund, T. B., & Thomsen, J. L. (2023). Machine learning in general practice: scoping review of administrative task support and automation. BMC Primary Care, 24, Article 14. https://doi.org/10.1186/s12875-023-01969-y

Background
Artificial intelligence (AI) is increasingly used to support general practice in the early detection of disease and treatment recommendations. However, AI systems aimed at alleviating time-consuming administrative tasks currently appear l... Read More about Machine learning in general practice: scoping review of administrative task support and automation.

How Personalization Affects Motivation in Gamified Review Assessments (2023)
Journal Article
Rodrigues, L., Palomino, P. T., Toda, A. M., Klock, A. C., Pessoa, M., Pereira, F. D., Oliveira, E. H., Oliveira, D. F., Cristea, A. I., Gasparini, I., & Isotani, S. (2024). How Personalization Affects Motivation in Gamified Review Assessments. International Journal of Artificial Intelligence in Education, 34(2), 147-184. https://doi.org/10.1007/s40593-022-00326-x

Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students’ motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring mul... Read More about How Personalization Affects Motivation in Gamified Review Assessments.

Computing Education Research in the UK & Ireland (2023)
Book Chapter
Becker, B. A., Bradley, S., Maguire, J., Black, M., Crick, T., Saqr, M., …Quille, K. (2023). Computing Education Research in the UK & Ireland. In M. Apiola, S. López-Pernas, & M. Saqr (Eds.), Past, Present and Future of Computing Education Research (421-479). Springer Verlag. https://doi.org/10.1007/978-3-031-25336-2_19

In 1970, SIGCSE had five members from England, Scotland and Wales. By 1983 Ireland had a member, followed by Northern Ireland in 1995. Well before then researchers from these countries had contributed to the growing CER community. In 1998 the 3rd ACM... Read More about Computing Education Research in the UK & Ireland.

Dynamic Unary Convolution in Transformers (2023)
Journal Article
Duan, H., Long, Y., Wang, S., Zhang, H., Willcocks, C. G., & Shao, L. (2023). Dynamic Unary Convolution in Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11), 12747 - 12759. https://doi.org/10.1109/tpami.2022.3233482

It is uncertain whether the power of transformer architectures can complement existing convolutional neural networks. A few recent attempts have combined convolution with transformer design through a range of structures in series, where the main cont... Read More about Dynamic Unary Convolution in Transformers.

Effect of emotions and personalisation on cancer website reuse intentions (2023)
Preprint / Working Paper
Hadzidedic, S., Cristea, A., & Watson, D. Effect of emotions and personalisation on cancer website reuse intentions

The effect of emotions and personalisation on continuance use intentions in online health services is underexplored. Accordingly, we propose a research model for examining the impact of emotion- and personalisation-based factors on cancer website reu... Read More about Effect of emotions and personalisation on cancer website reuse intentions.

Payment scheduling in the Interval Debt Model (2023)
Presentation / Conference Contribution
Friedetzky, T., Kutner, D., Mertzios, G., Stewart, I., & Trehan, A. (2023, January). Payment scheduling in the Interval Debt Model. Presented at 48th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2023), Novy Smokovec, Slovakia

The networks-based study of financial systems has received considerable attention in recent years, but seldom explicitly incorporated the dynamic aspects of such systems. We consider this problem setting from the temporal point of view, and we introd... Read More about Payment scheduling in the Interval Debt Model.