Outputs (118)

Beyond global and local multi-target learning (2021)
Journal Article
Basgalupp, M., Cerri, R., Schietgat, L., Triguero, I., & Vens, C. (2021). Beyond global and local multi-target learning. Information Sciences, 579, 508-524. https://doi.org/10.1016/j.ins.2021.08.022

In multi-target prediction, an instance has to be classified along multiple target variables at the same time, where each target represents a category or numerical value. There are several strategies to tackle multi-target prediction problems: the lo... Read More about Beyond global and local multi-target learning.

The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review (2021)
Preprint / Working Paper
Majid, S., Reeves, S., Figueredo, G., Brown, S., Lang, A., Moore, M., & Morriss, R. The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review

Background:
Self-monitoring applications for bipolar disorder are increasing in numbers. The application of user-centred design (UCD) is becoming standardised to optimise the reach, adoption and sustained use of this type of technology.

Objectiv... Read More about The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review.

ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies (2021)
Presentation / Conference Contribution
Galvez Trigo, M. J., Porcheron, M., Egede, J., Fischer, J. E., Hazzard, A., Greenhalgh, C., Bodiaj, E., & Valstar, M. (2021, July). ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies. Presented at CUI 2021 : Third Conference on Conversational User Interfaces, Bilbao (online), Spain

We present ALTCAI, a Wizard of Oz Embodied Conversational Agent that has been developed to explore the use of interactive agents as an effective and engaging tool for delivering health and well-being advice to expectant and nursing mothers in Nigeria... Read More about ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies.

An empirical analysis of the information security culture key factors framework (2021)
Journal Article
Tolah, A., Furnell, S. M., & Papadaki, M. (2021). An empirical analysis of the information security culture key factors framework. Computers and Security, 108, Article 102354. https://doi.org/10.1016/j.cose.2021.102354

Information security is a challenge facing organisations, as security breaches pose a serious threat to sensitive information. Organisations face security risks in relation to their information assets, which may also stem from their own employees. Or... Read More about An empirical analysis of the information security culture key factors framework.

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion (2021)
Journal Article
Sanchez, S., Rengasamy, D., Hyde, C. J., Figueredo, G. P., & Rothwell, B. (2021). Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. Journal of Intelligent Manufacturing, 32(8), 2353–2373. https://doi.org/10.1007/s10845-021-01785-0

There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, par... Read More about Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.

Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic (2021)
Presentation / Conference Contribution
Benford, S., Mansfield, P., & Spence, J. (2021, May). Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic. Presented at 2021 ACM CHI Virtual Conference on Human Factors in Computing Systems, Online Virtual Conference

The global pandemic has driven musicians online. We report an ethnographic account of how two traditional folk clubs with little previous interest in digital platforms transitioned to online experiences. They followed very different approaches: one a... Read More about Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic.

Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review (2021)
Journal Article
He, Y., Aliyu, A., Evans, M., & Luo, C. (2021). Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review. Journal of Medical Internet Research, 23(4), Article e21747. https://doi.org/10.2196/21747

Background: COVID-19 has challenged the resilience of the health care information system, which has affected our ability to achieve the global goal of health and well-being. The pandemic has resulted in a number of recent cyberattacks on hospitals, p... Read More about Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review.

Creating a Digital Mirror of Creative Practice (2021)
Presentation / Conference Contribution
Johnson, C. (2021, April). Creating a Digital Mirror of Creative Practice. Presented at 10th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART 2021), Online

This paper describes an ongoing project to create a “digital mirror” to my practice as a composer of contemporary classical music; that is, a system that takes descriptions (in code) of aspects of that practice, and reflects them back as computer-gen... Read More about Creating a Digital Mirror of Creative Practice.

Adaptive Covariance Pattern Search (2021)
Book Chapter
Neri, F. (2021). Adaptive Covariance Pattern Search. In P. A. Castillo, & J. L. Jiménez Laredo (Eds.), Applications of Evolutionary Computation – 24th International Conference, EvoApplications 2021 (178-193). Springer. https://doi.org/10.1007/978-3-030-72699-7_12

Pattern search is a family of single solution deterministic optimisation algorithms for numerical optimisation. Pattern search algorithms generate a new candidate solution by means of an archive of potential moves, named pattern. This pattern is gen... Read More about Adaptive Covariance Pattern Search.

Generalised Pattern Search Based on Covariance Matrix Diagonalisation (2021)
Journal Article
Neri, F., & Rostami, S. (2021). Generalised Pattern Search Based on Covariance Matrix Diagonalisation. SN Computer Science, 2, Article 171. https://doi.org/10.1007/s42979-021-00513-y

Pattern Search is a family of gradient-free direct search methods for numerical optimisation problems. The characterising feature of pattern search methods is the use of multiple directions spanning the problem domain to sample new candidate solution... Read More about Generalised Pattern Search Based on Covariance Matrix Diagonalisation.