Outputs (122)

From Responsible Research and Innovation to responsibility by design (2021)
Journal Article
Stahl, B. C., Akintoye, S., Bitsch, L., Bringedal, B., Eke, D., Farisco, M., Grasenick, K., Guerrero, M., Knight, W., Leach, T., Nyholm, S., Ogoh, G., Rosemann, A., Salles, A., Trattnig, J., & Ulnicane, I. (2021). From Responsible Research and Innovation to responsibility by design. Journal of Responsible Innovation, 8(2), 175-198. https://doi.org/10.1080/23299460.2021.1955613

Drawing on more than eight years working to implement Responsible Research and Innovation (RRI) in the Human Brain Project, a large EU-funded research project that brings together neuroscience, computing, social sciences, and the humanities, and one... Read More about From Responsible Research and Innovation to responsibility by design.

Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019 (2021)
Journal Article
Ali, K. M., Ali, A. M., Tawfeeq, H. M., Figueredo, G. P., & Rostam, H. M. (2021). Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019. Journal of Medical Virology, 93(7), 4532-4536. https://doi.org/10.1002/jmv.27002

Coronavirus disease 2019 (COVID-19) is caused by a contagious virus that has spread to more than 200 countries, territories, and regions. Thousands of studies to date have examined all aspects of this disease, yet little is known about the postrecove... Read More about Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019.

Multi-Objective Feature Selection With Missing Data in Classification (2021)
Journal Article
Xue, Y., Tang, Y., Xu, X., Liang, J., & Neri, F. (2022). Multi-Objective Feature Selection With Missing Data in Classification. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(2), 355-364. https://doi.org/10.1109/TETCI.2021.3074147

Feature selection (FS) is an important research topic in machine learning. Usually, FS is modelled as a bi-objective optimization problem whose objectives are: 1) classification accuracy; 2) number of features. One of the main issues in real-world ap... Read More about Multi-Objective Feature Selection With Missing Data in Classification.

First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process (2021)
Presentation / Conference Contribution
Siebers, P.-O., Achter, S., Palaretti Bernardo, C., Borit, M., & Chattoe-Brown, E. (2019, September). First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process. Presented at Social Simulation Conference 2019, Mainz, Germany

While there is a number of frameworks and protocols in Agent-Based Modeling (ABM) that support the documentation of different aspects of a simulation study, it is surprising to find only a small number dealing with the handling of data. Here we prese... Read More about First Steps Towards RAT: A Protocol for Documenting Data Use in the Agent-Based Modeling Process.

Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface (2021)
Journal Article
Ranjbari, M., Shams Esfandabadi, Z., Scagnelli, S. D., Siebers, P.-O., & Quatraro, F. (2021). Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface. Environment, Development and Sustainability, 23, 16646-16673. https://doi.org/10.1007/s10668-021-01372-6

As a response to the urgent call for recovery actions against the COVID-19 crisis, this research aims to identify action priority areas post COVID-19 toward achieving the targets of the sustainable development goals (SDGs) within the 2030 Agenda for... Read More about Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface.

Nonlocal graph theory based transductive learning for hyperspectral image classification (2021)
Journal Article
Huang, B., Ge, L., Chen, G., Radenkovic, M., Wang, X., Duan, J., & Pan, Z. (2021). Nonlocal graph theory based transductive learning for hyperspectral image classification. Pattern Recognition, 116, Article 107967. https://doi.org/10.1016/j.patcog.2021.107967

Hyperspectral Image classification plays an important role in the maintenance of remote image analysis, which has been attracting a lot of research interest. Although various approaches, including unsupervised and supervised methods, have been propos... Read More about Nonlocal graph theory based transductive learning for hyperspectral image classification.

Realising a Push Button Modality for Video-Based Forensics (2021)
Journal Article
Zawali, B., Ikuesan, R. A., Kebande, V. R., Furnell, S., & A-Dhaqm, A. (2021). Realising a Push Button Modality for Video-Based Forensics. Infrastructures, 6(4), Article 54. https://doi.org/10.3390/infrastructures6040054

Complexity and sophistication among multimedia-based tools have made it easy for perpetrators to conduct digital crimes such as counterfeiting, modification, and alteration without being detected. It may not be easy to verify the integrity of video c... Read More about Realising a Push Button Modality for Video-Based Forensics.

From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound (2021)
Journal Article
Chamberlain, A., Hazzard, A., Kelly, E., Bødker, M., & Kallionpää, M. (2021). From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound. Personal and Ubiquitous Computing, 25(4), 617-620. https://doi.org/10.1007/s00779-021-01554-z

This introduction brings together a range of research, a majority of which was presented at the Audio Mostly conference hosted at the University of Nottingham. The conference brings together a range of researchers, industry, designers and educators t... Read More about From AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound.

Simulating the Impact of Personality on Fake News (2021)
Presentation / Conference Contribution
Coates, A., Muller, T., & Sirur, S. Simulating the Impact of Personality on Fake News. Presented at 22nd International Workshop on Trust in Agent Societies (TRUST 2021), London, UK

Fake news is a key issue for social networks. We use an agent-based network simulation to model the spread of (fake) news. The agents' behaviour captures the OCEAN ("big five") personality trait model. The network is homophilic for political preferen... Read More about Simulating the Impact of Personality on Fake News.

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study (2021)
Preprint / Working Paper
Dowthwaite, L., Fischer, J., Perez Vallejos, E., Portillo, V., Nichele, E., Goulden, M., & McAuley, D. Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study

Background:
Digital contact tracing is employed to monitor and manage the spread of COVID-19. However, to be effective the system must be adopted by a substantial proportion of the population. Studies of mostly hypothetical contact tracing apps show... Read More about Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study.