All Outputs (135)

Learning embeddings from free-text triage notes using pretrained transformer models (2022)
Conference Proceeding
Arnaud, É., Elbattah, M., Gignon, M., & Dequen, G. (2022). Learning embeddings from free-text triage notes using pretrained transformer models. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (835-841). https://doi.org/10.5220/0011012800003123

The advent of transformer models has allowed for tremendous progress in the Natural Language Processing (NLP) domain. Pretrained transformers could successfully deliver the state-of-the-art performance in a myriad of NLP tasks. This study presents an... Read More about Learning embeddings from free-text triage notes using pretrained transformer models.

Modelling interrelationship between diseases with communicating stream x-machines (2022)
Journal Article
Jayatilake, D., Phung, K., Ogunshile, E., & Aydin, M. (2022). Modelling interrelationship between diseases with communicating stream x-machines. Proceedings of the Institute for System Programming of the RAS, 34(6), 147-164. https://doi.org/10.15514/ispras-2022-34%286%29-11

The world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. In the last few decades, diagrammatical models have been extensively used to describe and understand the behaviou... Read More about Modelling interrelationship between diseases with communicating stream x-machines.

Eye-tracking dataset to support the research on autism spectrum disorder (2022)
Conference Proceeding
Cilia, F., Carette, R., Elbattah, M., Guérin, J., & Dequen, G. (2022). Eye-tracking dataset to support the research on autism spectrum disorder. In Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare (59-64). https://doi.org/10.5220/0011540900003523

The availability of data is a key enabler for researchers across different disciplines. However, domains, such as healthcare, are still fundamentally challenged by the paucity and imbalance of datasets. Health data could be inaccessible due to a vari... Read More about Eye-tracking dataset to support the research on autism spectrum disorder.

Review of the partially overlapping samples framework: Paired observations and independent observations in two samples (2022)
Journal Article
Derrick, B., & White, P. (2022). Review of the partially overlapping samples framework: Paired observations and independent observations in two samples. Quantitative Methods for Psychology, 18(1), 55-65. https://doi.org/10.20982/tqmp.18.1.p055

A frequently asked question in quantitative research is how to compare two samples that include some combination of paired observations and unpaired observations. In our publications and R package, we refer to the scenario as ‘partially overlapping... Read More about Review of the partially overlapping samples framework: Paired observations and independent observations in two samples.

Vision-based approach for autism diagnosis using transfer learning and eye-tracking (2022)
Conference Proceeding
Elbattah, M., Guérin, J., Carette, R., Cilia, F., & Dequen, G. (2022). Vision-based approach for autism diagnosis using transfer learning and eye-tracking. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF (256-263). https://doi.org/10.5220/0010975500003123

The potentials of Transfer Learning (TL) have been well-researched in areas such as Computer Vision and Natural Language Processing. This study aims to explore a novel application of TL to detect Autism Spectrum Disorder. We seek to develop an approa... Read More about Vision-based approach for autism diagnosis using transfer learning and eye-tracking.

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities (2022)
Journal Article
Stanton, I., Munir, K., Ikram, A., & El-Bakry, M. (2023). Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities. Systems Engineering, 26(2), 216-237. https://doi.org/10.1002/sys.21651

The increase in available data from sensors embedded in industrial equipment has led to a recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive maintenance has become an essential tool for optimizing mainte... Read More about Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities.

Disruptive learning and optimal flow: Game jams in heterotopic affinity space (2022)
Thesis
King, A. Disruptive learning and optimal flow: Game jams in heterotopic affinity space. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/9303643

Game jams are intensive, time-bound videogame-development events where students, professionals, and hobbyists form teams to create games against the clock. Jams are popular, offering accessible, informal learning environments which promote teamwork,... Read More about Disruptive learning and optimal flow: Game jams in heterotopic affinity space.

Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification (2022)
Journal Article
McCarthy, A., Ghadafi, E., Andriotis, P., & Legg, P. (2023). Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. Journal of Information Security and Applications, 72, Article 103398. https://doi.org/10.1016/j.jisa.2022.103398

Machine learning is key for automated detection of malicious network activity to ensure that computer networks and organizations are protected against cyber security attacks. Recently, there has been growing interest in the domain of adversarial mach... Read More about Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification.

Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms (2022)
Journal Article
Bold, R., Al-Khateeb, H., & Ersotelos, N. (2022). Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms. Applied Sciences, 12(24), Article 12941. https://doi.org/10.3390/app122412941

Technological achievement and cybercriminal methodology are two parallel growing paths; protocols such as Tor and i2p (designed to offer confidentiality and anonymity) are being utilised to run ransomware companies operating under a Ransomware as a S... Read More about Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms.

Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts (2022)
Journal Article
Adamatzky, A. (2023). Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts. Bioelectricity, 5(2), 99-108. https://doi.org/10.1089/bioe.2022.0030

Background: A kombucha is a sugared tea fermented by a symbiotic community of over 20 species of bacteria and yeasts. The community produces and inhabits cellulosic gelatinous zoogleal mats. Methods: We studied electrical activity of the kombucha mat... Read More about Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts.

Solvability of superlinear fractional parabolic equations (2022)
Journal Article
Fujishima, Y., Hisa, K., Ishige, K., & Laister, R. (2023). Solvability of superlinear fractional parabolic equations. Journal of Evolution Equations, 23(1), 4. https://doi.org/10.1007/s00028-022-00853-z

We study necessary conditions and sufficient conditions for the existence of local-in-time solutions of the Cauchy problem for superlinear fractional parabolic equations. Our conditions are sharp and clarify the relationship between the solvability o... Read More about Solvability of superlinear fractional parabolic equations.

Fast and accurate evaluation of collaborative filtering recommendation algorithms (2022)
Conference Proceeding
Polatidis, N., Kapetanakis, S., Pimenidis, E., & Manolopoulos, Y. (2022). Fast and accurate evaluation of collaborative filtering recommendation algorithms. In N. Thanh Nguyen, T. Khoa Tran, U. Tukayev, T. Hong, B. Trawiński, & E. Szczerbicki (Eds.), ACIIDS 2022: Intelligent Information and Database Systems (623-634). https://doi.org/10.1007/978-3-031-21743-2_50

Collaborative filtering are recommender systems algorithms that provide personalized recommendations to users in various online environments such as movies, music, books, jokes and others. There are many such recommendation algorithms and, regarding... Read More about Fast and accurate evaluation of collaborative filtering recommendation algorithms.

Understanding colourism in the UK: Development and assessment of the everyday colourism scale (2022)
Journal Article
Craddock, N., Phoenix, A., White, P., Gentili, C., Diedrichs, P. C., & Barlow, F. (in press). Understanding colourism in the UK: Development and assessment of the everyday colourism scale. Ethnic and Racial Studies, 1-36. https://doi.org/10.1080/01419870.2022.2149275

This paper details the development and psychometric validation of the Everyday Colourism Scale (ECS), a measure designed to capture perceived skin shade prejudice from the ingroup (ethnic peers) and the outgroup (White people). The ECS was adapted fr... Read More about Understanding colourism in the UK: Development and assessment of the everyday colourism scale.

Achieving the health and well-being sustainable development goals among adolescent mothers and their children in South Africa: Cross-sectional analyses of a community-based mixed HIV-status cohort (2022)
Journal Article
Toska, E., Saal, W., Chen Charles, J., Wittesaele, C., Langwenya, N., Jochim, J., …Cluver, L. (2022). Achieving the health and well-being sustainable development goals among adolescent mothers and their children in South Africa: Cross-sectional analyses of a community-based mixed HIV-status cohort. PLoS ONE, 17(12), https://doi.org/10.1371/journal.pone.0278163

The Sustainable Development Goals (SDGs) are a visionary and multi-sectoral agenda for human development. With less than a decade left to reach these targets, it is important to identify those at greatest risk of not meeting these ambitious targets.... Read More about Achieving the health and well-being sustainable development goals among adolescent mothers and their children in South Africa: Cross-sectional analyses of a community-based mixed HIV-status cohort.

Cryptanalysis of two recent ultra-lightweight authentication protocols (2022)
Journal Article
Servati, M. R., Safkhani, M., Ali, S., Malik, M. H., Ahmed, O. H., Hosseinzadeh, M., & Mosavi, A. H. (2022). Cryptanalysis of two recent ultra-lightweight authentication protocols. Mathematics, 10(23), 4611. https://doi.org/10.3390/math10234611

Radio Frequency Identification (RFID) technology is a critical part of many Internet of Things (IoT) systems, including Medical IoT (MIoT) for instance. On the other hand, the IoT devices’ numerous limitations (such as memory space, computing capabil... Read More about Cryptanalysis of two recent ultra-lightweight authentication protocols.

Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins (2022)
Journal Article
Maqsood, Z., Clark, J. C., Martin, E. M., Cheung, Y. F. H., Morán, L. A., Watson, S. E. T., …Watson, S. P. (2022). Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins. PLoS Computational Biology, 18(11), Article e1010708. https://doi.org/10.1371/journal.pcbi.1010708

The clustering of platelet glycoprotein receptors with cytosolic YxxL and YxxM motifs, including GPVI, CLEC-2 and PEAR1, triggers activation via phosphorylation of the conserved tyrosine residues and recruitment of the tandem SH2 (Src homology 2) dom... Read More about Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins.

BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam (2022)
Journal Article
Naddell, S., Manuel, M., Cavill, R., White, P., & Sieradzan, K. (2023). BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam. Epilepsy and Behavior, 138, 108985. https://doi.org/10.1016/j.yebeh.2022.108985

Objective: Via measures of efficacy, tolerability, and safety, this open-label, single-center study assessed the overall effectiveness of Brivaracetam (BRV) for the treatment of epilepsy in the context of ‘real-world’ clinical practice. Methods: Unse... Read More about BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam.

Towards idea mining: Problem-solution phrases extraction from text (2022)
Conference Proceeding
Liu, H., Brailsford, T., Goulding, J., Maul, T., Tan, T., & Chaudhuri, D. (2022). Towards idea mining: Problem-solution phrases extraction from text. In W. Chen, L. Yao, T. Cai, S. Pan, T. Shen, & X. Li (Eds.), ADMA 2022: Advanced Data Mining and Applications (3–14). https://doi.org/10.1007/978-3-031-22137-8_1

This paper investigates the feasibility of problem-solution phrases extraction from scientific publications using neural network approaches. Bidirectional Long Short-Term Memory with Conditional Random Fields (Bi-LSTM-CRFs) and Bidirectional Encoder... Read More about Towards idea mining: Problem-solution phrases extraction from text.

Towards idea mining: Problem-solution phrase extraction from text (2022)
Conference Proceeding
Liu, H., Brailsford, T., Goulding, J., Maul, T., Tan, T., & Chaudhuri, D. (2023). Towards idea mining: Problem-solution phrase extraction from text. In W. Chen, L. Yao, T. Cai, S. Pan, T. Shen, & X. Li (Eds.), Advanced Data Mining and Applications 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022, Proceedings, Part II (3-14). https://doi.org/10.1007/978-3-031-22137-8_1

This paper investigates the feasibility of problem-solution phrases extraction from scientific publications using neural network approaches. Bidirectional Long Short-Term Memory with Conditional Random Fields (Bi-LSTM-CRFs) and Bidirectional Encoder... Read More about Towards idea mining: Problem-solution phrase extraction from text.

Logics in fungal Mycelium networks (2022)
Journal Article
Adamatzky, A., Ayres, P., Beasley, A. E., Roberts, N., & Wösten, H. A. B. (2022). Logics in fungal Mycelium networks. Logica Universalis, 16(4), 655-669. https://doi.org/10.1007/s11787-022-00318-4

The living mycelium networks are capable of efficient sensorial fusion over very large areas and distributed decision making. The information processing in the mycelium networks is implemented via propagation of electrical and chemical signals en pai... Read More about Logics in fungal Mycelium networks.