Outputs (33)

Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention (2022)
Presentation / Conference Contribution
Sun, Z., Harit, A., Cristea, A. I., Yu, J., Al Moubayed, N., & Shi, L. (2022, December). Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. Presented at IEEE Big Data, Osaka, Japan

Medical visual question answering (Med-VQA) is to answer medical questions based on clinical images provided. This field is still in its infancy due to the complexity of the trio formed of questions, multimodal features and expert knowledge. In this... Read More about Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention.

The Online Response of Higher Education to the Pandemic: A Snapshot of International Students’ Experiences in the UK (2022)
Report
Costa, C., Li, H., & Singh, S. (. (2022). The Online Response of Higher Education to the Pandemic: A Snapshot of International Students’ Experiences in the UK. Leverhulme Trust

Exploring task design to promote discipline-specific reasoning in primary English (2022)
Journal Article
Oliver, M., & Higgins, S. (2023). Exploring task design to promote discipline-specific reasoning in primary English. Thinking Skills and Creativity, 47, Article 101230. https://doi.org/10.1016/j.tsc.2022.101230

This paper draws upon a growing body of research emphasising the importance and prevalence of domain-specific practices in teaching and learning. Different disciplines have their own reasoning practices, conceptualised as reasoning styles, which are... Read More about Exploring task design to promote discipline-specific reasoning in primary English.

Convergent evolution of elaborate nests as structural defences in birds (2022)
Journal Article
Street, S. E., Jaques, R., & De Silva, T. N. (2022). Convergent evolution of elaborate nests as structural defences in birds. Proceedings of the Royal Society B: Biological Sciences, 289(1989), Article 20221734. https://doi.org/10.1098/rspb.2022.1734

The pendent nests of some weaverbird and icterid species are among the most complex structures built by any animal, but why they have evolved remains to be explained. The precarious attachments and extended entrance tunnels characteristic of these ne... Read More about Convergent evolution of elaborate nests as structural defences in birds.

Using Model Explanations to Guide Deep Learning Models Towards Consistent Explanations for EHR Data (2022)
Journal Article
Watson, M., Awwad Shekh Hasan, B., & Al Moubayed, N. (2022). Using Model Explanations to Guide Deep Learning Models Towards Consistent Explanations for EHR Data. Scientific Reports, 12(19899), Article 19899. https://doi.org/10.1038/s41598-022-24356-6

It has been shown that identical Deep Learning (DL) architectures will produce distinct explanations when trained with different hyperparameters that are orthogonal to the task (e.g. random seed, training set order). In domains such as healthcare and... Read More about Using Model Explanations to Guide Deep Learning Models Towards Consistent Explanations for EHR Data.

A systematic review of sex differences in rough and tumble play across non-human mammals (2022)
Journal Article
Marley, C. L., Pollard, T. M., Barton, R. A., & Street, S. E. (2022). A systematic review of sex differences in rough and tumble play across non-human mammals. Behavioral Ecology and Sociobiology, 76(12), Article 158. https://doi.org/10.1007/s00265-022-03260-z

It is widely believed that juvenile male mammals typically engage in higher rates of rough and tumble play (RTP) than do females, in preparation for adult roles involving intense physical competition between males. The consistency of this sex differe... Read More about A systematic review of sex differences in rough and tumble play across non-human mammals.

Towards Graph Representation Learning Based Surgical Workflow Anticipation (2022)
Presentation / Conference Contribution
Zhang, X., Al Moubayed, N., & Shum, H. P. (2022, September). Towards Graph Representation Learning Based Surgical Workflow Anticipation. Presented at 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece

Surgical workflow anticipation can give predictions on what steps to conduct or what instruments to use next, which is an essential part of the computer-assisted intervention system for surgery, e.g. workflow reasoning in robotic surgery. However, cu... Read More about Towards Graph Representation Learning Based Surgical Workflow Anticipation.

Does lossy image compression affect racial bias within face recognition? (2022)
Presentation / Conference Contribution
Yucer, S., Poyser, M., Al Moubayed, N., & Breckon, T. (2022, October). Does lossy image compression affect racial bias within face recognition?. Presented at International Joint Conference on Biometrics (IJCB 2022), Abu Dhabi, UAE

This study investigates the impact of commonplace lossy image compression on face recognition algorithms with regard to the racial characteristics of the subject. We adopt a recently proposed racial phenotype-based bias analysis methodology to measur... Read More about Does lossy image compression affect racial bias within face recognition?.

Global drivers of variation in cup nest size in passerine birds (2022)
Journal Article
Vanadzina, K., Street, S. E., Healy, S. D., Laland, K. N., & Sheard, C. (2023). Global drivers of variation in cup nest size in passerine birds. Journal of Animal Ecology, 92(2), https://doi.org/10.1111/1365-2656.13815

The size of a bird's nest can play a key role in ensuring reproductive success and is determined by a variety of factors. The primary function of the nest is to protect offspring from the environment and predators. Field studies in a number of passer... Read More about Global drivers of variation in cup nest size in passerine birds.

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations (2022)
Presentation / Conference Contribution
Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2022, July). INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. Presented at 2022 International Joint Conference on Neural Networks (IJCNN), Padova, Italy

XAI with natural language processing aims to produce human-readable explanations as evidence for AI decisionmaking, which addresses explainability and transparency. However, from an HCI perspective, the current approaches only focus on delivering a s... Read More about INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations.