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Book or Report Section

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

Conference or Workshop Item

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)

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)

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

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

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

Spencer, J., Tosi, F., Poggi, M., Singh Arora, R., Russell, C., Hadfield, S., Bowden, R., Zhou, G. Y., Li, Z., Rao, Q., Bao, Y., Liu, X., Kim, D., Kim, J., Kim, M., Lavreniuk, M., Li, R., Mao, Q., Wu, J., Zhu, Y., Sun, J., Zhang, Y., Patni, S., Agarwal, A., Arora, C., Sun, P., Jiang, K., Wu, G., Liu, J., Liu, X., Jiang, J., Zhang, X., Wei, J., Wang, F., Tan, Z., Wang, J., Luginov, A., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Hosseini, S., Trajcevski, A. and Elder, J. H. (2024) The third monocular depth estimation challenge. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 17-18 Jun 2024, Seatle, USA. doi: https://doi.org/10.1109/CVPRW63382.2024.00005

Thesis

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

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

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