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All Outputs (896)

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., …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.

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.

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.

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., & 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.

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.

Simulating the Impact of Personality on Fake News (2021)
Journal Article
Coates, A., Muller, T., & Sirur, S. (2021). Simulating the Impact of Personality on Fake News. CEUR Workshop Proceedings, 3022,

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.

Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures (2021)
Journal Article
Ong, Z. X., Dowthwaite, L., Vallejos, E. P., & Long, Y. (2021). Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures. Frontiers in Psychology, 12, Article 616637. https://doi.org/10.3389/fpsyg.2021.616637

With the increasing importance of the internet to our everyday lives, questions are rightly being asked about how its’ use affects our wellbeing. It is important to be able to effectively measure the effects of the online context as it allows us to a... Read More about Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures.

Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development (2021)
Journal Article
Ranjbari, M., Esfandabadi, Z. S., Zanetti, M. C., Scagnelli, S. D., Siebers, P., Aghbashlo, M., …Tabatabaei, M. (2021). Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development. Journal of Cleaner Production, 297, Article 126660. https://doi.org/10.1016/j.jclepro.2021.126660

The COVID-19 pandemic has immensely impacted the economic, social, and environmental pillars of sustainability in human lives. Due to the scholars’ increasing interest in responding to the urgent call for action against the pandemic, the literature o... Read More about Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development.

Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies (2021)
Journal Article
Ulnicane, I., Eke, D. O., Knight, W., Ogoh, G., & Stahl, B. C. (2021). Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies. Interdisciplinary Science Reviews, 46(1-2), 71-93. https://doi.org/10.1080/03080188.2020.1840220

Recent advances in Artificial Intelligence (AI) have led to intense debates about benefits and concerns associated with this powerful technology. These concerns and debates have similarities with developments in other emerging technologies characteri... Read More about Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies.

Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials (2021)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P. O., & Moore, T. (2021). Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials. Journal of Location Based Services, 15(4), 305-327. https://doi.org/10.1080/17489725.2021.1893394

Assessing building performance related to energy consumption in post-design-occupancy stage requires knowledge of building occupancy pattern. These occupancy data can potentially be collected from trials and used to improve the prediction capability... Read More about Demonstrating the potential of indoor positioning for monitoring building occupancy through ecologically valid trials.

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout (2021)
Journal Article
Song, H., Torres Torres, M., Özcan, E., & Triguero, I. (2021). L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. Neurocomputing, 442, 200-208. https://doi.org/10.1016/j.neucom.2021.02.024

Few-shot learning focuses on learning a new visual concept with very limited labelled examples. A successful approach to tackle this problem is to compare the similarity between examples in a learned metric space based on convolutional neural network... Read More about L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout.

Predicting Alcohol Concentration during Beer Fermentation Using Ultrasonic Measurements and Machine Learning (2021)
Journal Article
Bowler, A., Escrig, J., Pound, M., & Watson, N. (2021). Predicting Alcohol Concentration during Beer Fermentation Using Ultrasonic Measurements and Machine Learning. Fermentation, 7(1), Article 34. https://doi.org/10.3390/fermentation7010034

Beer fermentation is typically monitored by periodic sampling and off-line analysis. In-line sensors would remove the need for time-consuming manual operation and provide real-time evaluation of the fermenting media. This work uses a low-cost ultraso... Read More about Predicting Alcohol Concentration during Beer Fermentation Using Ultrasonic Measurements and Machine Learning.

What does it mean for a data subject to make their personal data "manifestly public"? An analysis of GDPR Article 9(2)(e) (2021)
Journal Article
Dove, E. S., & Chen, J. (2021). What does it mean for a data subject to make their personal data "manifestly public"? An analysis of GDPR Article 9(2)(e). International Data Privacy Law, 11(2), 107-124. https://doi.org/10.1093/idpl/ipab005

• This article investigates an under-discussed and potentially significant provision in the EU General Data Protection Regulation (GDPR), namely Article 9(2)(e), which permits processing of special category personal data if the “processing relates to... Read More about What does it mean for a data subject to make their personal data "manifestly public"? An analysis of GDPR Article 9(2)(e).

Organisational responses to the ethical issues of artificial intelligence (2021)
Journal Article
Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2022). Organisational responses to the ethical issues of artificial intelligence. AI & Society, 37(1), 23-37. https://doi.org/10.1007/s00146-021-01148-6

The ethics of artificial intelligence (AI) is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generall... Read More about Organisational responses to the ethical issues of artificial intelligence.

Attacking and defence pathways for Intelligent Medical Diagnosis System (IMDS) (2021)
Journal Article
He, Y., Camacho, R. S., Soygazi, H., & Luo, C. (2021). Attacking and defence pathways for Intelligent Medical Diagnosis System (IMDS). International Journal of Medical Informatics, 148, Article 104415. https://doi.org/10.1016/j.ijmedinf.2021.104415

Background The Intelligent Medical Diagnosis System (IMDS) has been targeted by the cyber attackers, who aim to damage the Healthcare Critical National Infrastructure (CNI). This research is motivated by the recent cyber attacks happened worldwide... Read More about Attacking and defence pathways for Intelligent Medical Diagnosis System (IMDS).

Hydrodynamic characterization of soil compaction using integrated electrical resistivity and X-ray computed tomography (2021)
Journal Article
Cimpoiasu, M. O., Kuras, O., Wilkinson, P., Pridmore, T., & Mooney, S. J. (2021). Hydrodynamic characterization of soil compaction using integrated electrical resistivity and X-ray computed tomography. Vadose Zone Journal, 20(4), Article e20109. https://doi.org/10.1002/vzj2.20109

© 2020 The Authors. Vadose Zone Journal published by Wiley Periodicals LLC on behalf of Soil Science Society of America Modern agricultural practices can cause significant stress on soil, which ultimately has degrading effects, such as compaction. Th... Read More about Hydrodynamic characterization of soil compaction using integrated electrical resistivity and X-ray computed tomography.

Understanding cybersecurity behavioral habits: Insights from situational support (2021)
Journal Article
Hong, Y., & Furnell, S. (2021). Understanding cybersecurity behavioral habits: Insights from situational support. Journal of Information Security and Applications, 57, Article 102710. https://doi.org/10.1016/j.jisa.2020.102710

© 2020 While the Internet has become an indispensable aspect of personal and professional lives, it has also served to render many individuals vulnerable to cybersecurity threats. Thus, the promotion of cybersecurity behaviors can effectively protect... Read More about Understanding cybersecurity behavioral habits: Insights from situational support.

"I can't get round": Recruiting Assistance in Mobile Robotic Telepresence (2021)
Journal Article
Boudouraki, A., Fischer, J. E., Reeves, S., & Rintel, S. (2021). "I can't get round": Recruiting Assistance in Mobile Robotic Telepresence. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3), Article 248. https://doi.org/10.1145/3432947

Via audiovisual communications and a controllable physical embodiment, Mobile Robotic telePresence (MRP) systems aim to support enhanced collaboration between remote and local members of a given setting. But MRP systems also put the remote user in po... Read More about "I can't get round": Recruiting Assistance in Mobile Robotic Telepresence.

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification (2020)
Journal Article
Le, H. L., Landa-Silva, D., Galar, M., Garcia, S., & Triguero, I. (2021). EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. Applied Soft Computing, 101, https://doi.org/10.1016/j.asoc.2020.107033

© 2020 Learning from imbalanced datasets is highly demanded in real-world applications and a challenge for standard classifiers that tend to be biased towards the classes with the majority of the examples. Undersampling approaches reduce the size of... Read More about EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.