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Akpu, C. H., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2024) Deep learning in automated worm identification and tracking for C. elegan mating behaviour analysis. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C. L., Bhattacharya, S. and Pail, U. (eds.) Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part III. Lecture Notes in Computer Science (15303). Springer, pp. 113-128. ISBN 9783031781216 doi: https://doi.org/10.1007/978-3-031-78122-3_8

Aljaidi, M., Aslam, N., Kaiwartya, O., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Sadiq, A. S., Kumar, S. and Alsarhan, A. (2024) QoE-based assignment of EVs to charging stations in metropolitan environments. IEEE Transactions on Intelligent Vehicles. ISSN 2379-8904 doi: https://doi.org/10.1109/TIV.2024.3412372

Amoudi, S. A., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2024) Modified probabilistic neural networks LBP classification based on distance measures in probability space. In: The 21st UK Workshop on Computational Intelligence, 7-9 Sep 2022, Sheffield, pp. 117-128. doi: https://doi.org/10.1007/978-3-031-55568-8_10 (ISBN: 9783031555671)

Ashlam, A. (2024) Multi-phase algorithmic framework to prevent SQL injection attacks using improved machine learning and deep learning to enhance database security in real time. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00119137

Assaf, O. (2024) Multivariate and multi-task deep learning architectures for improved stock market prediction and risk management. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00116154

Brown, K. L., Huang, Q., Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Taylor, J. A., Wray, J., van Doorn, C., Stoica, S., Pagel, C., Franklin, R. C. G. and Crowe, S. (2024) Evaluating long‐term outcomes of children undergoing surgical treatment for congenital heart disease for national audit in England and Wales. Journal of the American Heart Association, 13 (21). ISSN 2047-9980 doi: https://doi.org/10.1161/JAHA.124.035166

Dominguez, A. R., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2024) Structured radial basis function network: modelling diversity for multiple hypotheses prediction. In: AI-2024 Forty-fourth SGAI International Conference on Artificial Intelligence, 17-19 December 2024, Cambridge, England. (In Press)

English, K. M., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Franklin, R. C., Crowe, S. and Pagel, C. (2024) Secundum atrial septal defect closure in adults in the UK. European Heart Journal - Quality of Care and Clinical Outcomes. qcae019. ISSN 2058-1742 doi: https://doi.org/10.1093/ehjqcco/qcae019

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Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Xiao, J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2024) A semi-supervised clustering approach using nonlinear canonical correlation analysis with t-SNE. In: 2024 International Joint Conference on Neural Networks (IJCNN), 30 Jun- 5 Jul 2024, Yokohoma, Japan. doi: https://doi.org/10.1109/ijcnn60899.2024.10650841

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Idrees, M. M. (2024) Online semi-supervised learning in non-stationary environments. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00114864

Ihmeida, M. (2024) From images To changes: enhancing synthetic aperture radar change detection via registration and deep despeckling model. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00117925

Knowles, R. L., Ridout, D., Huang, Q., Franklin, R. C., Seale, A. N., Bellsham-Revell, H., Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400 and Brown, K. L. (2024) Influence of sex, race and ethnicity, and deprivation on survival and completion of the Fontan pathway for children with functionally single ventricle heart disease. Circulation, 150 (3). pp. 246-249. ISSN 1524-4539 doi: https://doi.org/10.1161/CIRCULATIONAHA.124.069779

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Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2024) Cutting the cake into crumbs: verifying envy-free cake cutting protocols using bounded integer arithmetic. In: Gebser, M. and Sergey, I. (eds.) Practical aspects of declarative languages: 26th international symposium, PADL 2024, London, UK, January 15–16, 2024, Proceedings. Lecture Notes in Computer Science (14512). Springer, Cham, pp. 100-115. ISBN 9783031520372 doi: https://doi.org/10.1007/978-3-031-52038-9_7

Makarova, A., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2024) Learning a strategy for preference elicitation in conversational recommender systems. In: International Joint Conference on Neural Networks (IJCNN), 30 Jun - 5 Jul 2024, Yokohama, Japan. doi: https://doi.org/10.1109/ijcnn60899.2024.10650365

Markchom, T. ORCID: https://orcid.org/0000-0002-2685-0738 (2024) Explainable visually-aware recommender systems based on heterogeneous information networks. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00119658

Neera, J., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Aslam, N. and Issac, B. (2024) A trustworthy and untraceable centralised payment protocol for mobile payment. ACM Transactions on Privacy and Security. ISSN 2471-2574 doi: https://doi.org/10.1145/3706421

Osei-Brefo, E. (2024) Advances in machine learning algorithms for financial risk management. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00115168

Raj, D., Hu, S., Aslam, N., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Rueangsirarak, W., Uttama, S. and Nauman, F. (2024) Elderly standing imbalance detection using noise-resilient robust mean estimator and deep learning. In: 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 08-10 December 2023, Kuala Lumpur, Malaysia, pp. 112-117. doi: https://doi.org/10.1109/SKIMA59232.2023.10387362

Sivan, K. M., Hu, S., Aslam, N., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Sureephong, P., Wongsila, S. and Ahmed, S. Q. (2024) Heart rate anomaly detection using contractive autoencoder for smartwatch-based health monitoring. In: 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 08-10 December 2023, Kuala Lumpur, Malaysia, pp. 118-123. doi: https://doi.org/10.1109/SKIMA59232.2023.10387334

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