All Outputs (6)

Sffl: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions (2024)
Working Paper
Zhang, J., Li, Y., Wu, D., Zhao, Y., & Palaiahnakote, S. Sffl: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions

Recent years have witnessed increasing development towards federated learning. However, federated learning has been proven to show biased predictions against certain demographic groups, such as sex or race, especially under heterogeneous data distrib... Read More about Sffl: Self-Aware Fairness Federated Learning Framework for Heterogeneous Data Distributions.

The Salford Nature Environments Database (SNED): An open access database of standardized high-quality pictures from natural environments (2024)
Working Paper
Bendall, R. C. A., Royle, S., Dodds, J. N., Watmough, H., Gillman, J., Beevers, D., …Gregory, S. The Salford Nature Environments Database (SNED): An open access database of standardized high-quality pictures from natural environments

The growing interest in harnessing natural environments to enhance mental health, including cognitive functioning and mood, has yielded encouraging results in initial studies. Given that images of nature have demonstrated similar benefits, they are f... Read More about The Salford Nature Environments Database (SNED): An open access database of standardized high-quality pictures from natural environments.

Tracking Persistent Symptoms in Scotland (TraPSS): A Longitudinal Prospective Cohort Study of COVID-19 Recovery After Mild Acute Infection (2024)
Working Paper
F Sculthorpe, N., Mclaughlin, M., Cerexhe, L., Macdonald, E., Dello Iacono, A., EM Sanal-Hayes, N., …D Hayes, L. Tracking Persistent Symptoms in Scotland (TraPSS): A Longitudinal Prospective Cohort Study of COVID-19 Recovery After Mild Acute Infection

Background COVID-19 disease results in disparate responses between individuals and has led to the emergence of Long-COVID, characterized by persistent and cyclical symptomology. To understand the complexity of Long-COVID, the importance of symptom su... Read More about Tracking Persistent Symptoms in Scotland (TraPSS): A Longitudinal Prospective Cohort Study of COVID-19 Recovery After Mild Acute Infection.

‘We need people who look strong in a variety of ways’ (2024)
Working Paper
Gluchowski, A. ‘We need people who look strong in a variety of ways’

Physical activity guidelines and their supplementary messaging play an essential role in raising awareness and changing behaviour at a population level. However, recent research suggests a low awareness of, and adherence to, strength training guideli... Read More about ‘We need people who look strong in a variety of ways’.

Baler -- Machine Learning Based Compression of Scientific Data (2024)
Working Paper
Bengtsson, F., Doglioni, C., Ekman, P., Gallen, A., Jawahar, P., Orucevic-Alagic, A., …Woodland, O. Baler -- Machine Learning Based Compression of Scientific Data

Storing and sharing increasingly large datasets is a challenge across scientific research and industry. In this paper, we document the development and applications of Baler - a Machine Learning based data compression tool for use across scientific di... Read More about Baler -- Machine Learning Based Compression of Scientific Data.

Addressing Financial and Digital Literacy Challenges for Inclusive Finance: insights from Microfinance Institutions and FinTech Organisations (2024)
Working Paper
Koefer, F., Bokkens, A., Preziuso, M., & Ehrenhard, M. Addressing Financial and Digital Literacy Challenges for Inclusive Finance: insights from Microfinance Institutions and FinTech Organisations

This paper investigates strategies of European microfinance institutions (MFIs) and inclusive FinTech organisations to address financial and digital illiteracy among vulnerable customers. It reveals that both MFIs and FinTech organisations focus on p... Read More about Addressing Financial and Digital Literacy Challenges for Inclusive Finance: insights from Microfinance Institutions and FinTech Organisations.