Outputs (2291)

Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition (2025)
Journal Article
Xiao, Z., Xing, H., Qu, R., Li, H., Cheng, X., Xu, L., Feng, L., & Wan, Q. (2025). Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems, 1-15. https://doi.org/10.1109/tnnls.2025.3556317

Recently, numerous deep learning algorithms have addressed wearable human activity recognition (HAR), but they often struggle with efficient knowledge transfer to lightweight models for mobile devices. Knowledge distillation (KD) is a popular techniq... Read More about Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition.

Network architecture of transcriptomic stress responses in zebrafish embryos (2025)
Journal Article
Beine, K., Feugere, L., Turner, A. P., & Wollenberg Valero, K. C. (in press). Network architecture of transcriptomic stress responses in zebrafish embryos. PLoS Computational Biology,

Protein-protein interaction (PPI) network topology can contribute to explain fundamental 13 properties of genes, from expression levels to evolutionary constraints. Genes central to a network 14 are more likely to be both conserved and highly express... Read More about Network architecture of transcriptomic stress responses in zebrafish embryos.

Incomplete Multi-view Data Learning via Adaptive Embedding and Partial l 2,1 Norm Constraints for Parkinson's Disease Diagnosis (2025)
Journal Article
Huang, Z., Wang, K., Chen, C., Chen, J., Wan, J., Yang, Z., Zhou, R., & Gan, H. (in press). Incomplete Multi-view Data Learning via Adaptive Embedding and Partial l 2,1 Norm Constraints for Parkinson's Disease Diagnosis. IEEE Journal of Biomedical and Health Informatics,

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by mental abnormalities and motor dysfunction. Its early classification and prediction of clinical scores have been major concerns for researchers. Currently, multi-vi... Read More about Incomplete Multi-view Data Learning via Adaptive Embedding and Partial l 2,1 Norm Constraints for Parkinson's Disease Diagnosis.

Generative AI for Supporting Cultural Learning and Reflection: A Study on Technology User Acceptance (2025)
Journal Article
Iddamalgoda, C., Ng, K. H., & Koleva, B. (2025). Generative AI for Supporting Cultural Learning and Reflection: A Study on Technology User Acceptance. International Journal of Human-Computer Interaction, https://doi.org/10.1080/10447318.2025.2505777

This study examines user acceptance of generative AI in cultural heritage contexts through a Reflection Story Generator deployed at an interactive exhibition in Malacca, a UNESCO World Heritage site. Using the AI Technology Acceptance Model (AI-TAM),... Read More about Generative AI for Supporting Cultural Learning and Reflection: A Study on Technology User Acceptance.

A survey of deep-learning-based radiology report generation using multimodal inputs (2025)
Journal Article
Wang, X., Figueredo, G., Li, R., Zhang, W. E., Chen, W., & Chen, X. (2025). A survey of deep-learning-based radiology report generation using multimodal inputs. Medical Image Analysis, 103, Article 103627. https://doi.org/10.1016/j.media.2025.103627

Automatic radiology report generation can alleviate the workload for physicians and minimize regional disparities in medical resources, therefore becoming an important topic in the medical image analysis field. It is a challenging task, as the comput... Read More about A survey of deep-learning-based radiology report generation using multimodal inputs.

Beyond the Ivory Tower: Public Engagement, Class, and Access in Research (2025)
Digital Artefact
(2025). Beyond the Ivory Tower: Public Engagement, Class, and Access in Research. [Podcast - Audio]

Dr Peter Winter and Dr Alan Chamberlain join Matimba Swana to explore elitism in research, the barriers to public engagement and why making research more inclusive and accessible is essential for meaningful community participation. Recorded 11 Oct 20... Read More about Beyond the Ivory Tower: Public Engagement, Class, and Access in Research.

Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli (2025)
Journal Article
Twycross, J., & Pearcy, N. (2025). Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli. Metabolites, 15(5: Comprehensive Insights into Metabolic Pathways: Genome-Scale Modeling Techniques), Article 309. https://doi.org/10.3390/metabo15050309

Microbes as chemical factories provide an alternative sustainable approach for producing platform chemicals. Until recently, most efforts have involved engineering heterologous pathways into a single microbial chassis to maximise its production of a... Read More about Adapting OptCouple to identify strategies with increased product yields in community cohorts of E. coli.

In the middle of the music: A qualitative study of headset and loudspeaker distributed interactive spatial audio within a musical mixed-reality environment (2025)
Presentation / Conference Contribution
Cliffe, L., Khan, M., & Benford, S. (2025, June). In the middle of the music: A qualitative study of headset and loudspeaker distributed interactive spatial audio within a musical mixed-reality environment. Presented at Audio Mostly 2025, Coimbra, Portugal

In this paper the authors introduce, describe and present their findings from a qualitative study of users’ perceptions and experiences of virtual musical content delivered over a loudspeaker array and virtual musical content delivered through a VR h... Read More about In the middle of the music: A qualitative study of headset and loudspeaker distributed interactive spatial audio within a musical mixed-reality environment.

Savouring Slow Gifts: Reflection from the Field Study of Hybrid Gifting (2025)
Presentation / Conference Contribution
Kwon, H., David Benford, S., & Koleva, B. (2025, April). Savouring Slow Gifts: Reflection from the Field Study of Hybrid Gifting. Presented at CHI 2025: CHI Conference on Human Factors in Computing Systems, Yokohama, Japan

Despite the prevalence of digital gifting, designing meaningful and emotionally engaging digital gifts remains a challenge. One promising approach is Hybrid gifting, which combines digital and physical elements to improve the perceived value of gifts... Read More about Savouring Slow Gifts: Reflection from the Field Study of Hybrid Gifting.

Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives (2025)
Presentation / Conference Contribution
Cameron, H. R., Reyes-Cruz, G., Piskopani, A.-M., Barnard, P., Boudouraki, A., Caleb-Solly, P., Castle-Green, S. D., Fischer, J. E., Hyde, R., Kucukyilmaz, A., & Maior, H. A. (2025, April). Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives. Presented at CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan

Telepresence robots have the potential to change our experiences in galleries and museums, allowing for a range of hybrid interactions for visitors and museum professionals, improving accessibility, offering activities or information, and providing a... Read More about Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives.