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Ihmeida, M. ORCID: https://orcid.org/0009-0009-8728-6868 and Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X (2023) Enhanced change detection performance based on deep despeckling of synthetic aperture radar images. IEEE Access. p. 1. ISSN 2169-3536 doi: https://doi.org/10.1109/access.2023.3307208

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Liu, C., Chen, Y., Chen, J., Payton, R., Riley, M. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Cooperative perception with learning-based V2V communications. IEEE Wireless Communications Letters, 12 (11). pp. 1831-1835. ISSN 2162-2345 doi: https://doi.org/10.1109/LWC.2023.3295612

Liu, C., Zhou, Y., Chen, Y. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Knowledge distillation based semantic communications for multiple users. IEEE Transactions on Wireless Communication. ISSN 1558-2248 doi: https://doi.org/10.1109/TWC.2023.3336941

Markchom, T., Liang, H. and Ferryman, J. (2023) Explainable meta-path based recommender systems. ACM Transactions on Recommender Systems. ISSN 2770-6699 doi: https://doi.org/10.1145/3625828 (In Press)

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Zhang, J., Xiao, J., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Multimodal continual learning for process monitoring: a novel weighted canonical correlation analysis with attention mechanism. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X doi: https://doi.org/10.1109/TNNLS.2023.3331732

Zhang, J., Zhou, D., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Continual learning for multimode dynamic process monitoring with applications to an ultra–supercritical thermal power plant. IEEE transactions on Automation Science and Engineering, 20 (1). pp. 137-150. ISSN 1558-3783 doi: https://doi.org/10.1109/TASE.2022.3144288

Zhang, J., Zhou, D., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Continual learning-based probabilistic slow feature analysis for monitoring multimode nonstationary processes. IEEE Transactions on Automation Science and Engineering. ISSN 1558-3783 doi: https://doi.org/10.1109/TASE.2022.3219125

Zhang, L. ORCID: https://orcid.org/0009-0003-4785-3801, Wang, Q.-G. ORCID: https://orcid.org/0000-0002-3672-3716 and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Partial and full detection of source terms. IEEE Transactions on Circuits and Systems II: Express Briefs. ISSN 1558-3791 doi: https://doi.org/10.1109/tcsii.2023.3311814

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Book or Report Section

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2023) CoPTIC: constraint programming translated into C. In: Sankaranarayanan, S. and Sharygina, N. (eds.) Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2023. Lecture Notes in Computer Science (13994). Springer, Cham. ISBN 9783031308192 doi: https://doi.org/10.1007/978-3-031-30820-8_13

Moin, A., Badii, A., Günnemann, S. and Challenger, M. (2023) Enabling Machine Learning in software architecture frameworks. In: 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN). IEEE. ISBN 9798350301137 doi: https://doi.org/10.1109/cain58948.2023.00021

Conference or Workshop Item

Ashlam, A. A., Badii, A. and Stahl, F. (2023) Data-mining and hashing to prevent application-layer DDoS and SQL injection attacks. In: 2023 IEEE International Conference on Advanced Systems and Emergent Technologies, 29 Apr 2023 - 01 May 2023, Hammamet, Tunisia. doi: https://doi.org/10.1109/ic_aset58101.2023.10150694

Dai, Z., He, L., Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 and Leeke, M. (2023) Revealing ongoing sensor attacks in industrial control system via setpoint modification. In: IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC), 14-17 Nov 2023, Abu Dhabi, United Arab Emirates. doi: https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361334

Ihmeida, M. and Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X (2023) Deep despeckling of SAR images to improve change detection performance. In: Artificial Intelligence XL: 43rd SGAI International Conference on Artificial Intelligence, AI 2023, 12–14 Dec 2023, Cambridge, UK, pp. 115-126. doi: https://doi.org/10.1007/978-3-031-47994-6_9 (Braumer, M. and Stahl, F. (eds). ISBN: 9783031479939.)

Koskela, T. ORCID: https://orcid.org/0000-0002-5813-6539, Christidi, I. ORCID: https://orcid.org/0000-0002-5045-7987, Giordano, M. ORCID: https://orcid.org/0000-0002-7218-2873, Dubrovska, E. ORCID: https://orcid.org/0009-0003-8066-5458, Quinn, J. ORCID: https://orcid.org/0000-0002-0268-7032, Maynard, C. ORCID: https://orcid.org/0000-0002-6253-9154, Case, D. ORCID: https://orcid.org/0009-0001-3735-5687, Olgu, K. ORCID: https://orcid.org/0000-0003-0351-2055 and Deakin, T. ORCID: https://orcid.org/0000-0002-6439-4171 (2023) Principles for automated and reproducible benchmarking. In: SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 12-17 Nov 2023, Denver, Colorado, pp. 609-618. doi: https://doi.org/10.1145/3624062.3624133 (ISBN: 9798400707858)

Morris, J., Liu, Z., Liang, H., Nagala, S. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) ThyExp: an explainable AI-assisted decision making toolkit for thyroid nodule diagnosis based on ultra-sound images. In: 32nd ACM International Conference on Information and Knowledge Management, Saturday 21 - Wednesday 25 October 2023, Birmingham,UK, pp. 5371-5375. doi: https://doi.org/10.1145/3583780.3615131

Osei-brefo, E., Mitchell, R. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Hybrid dual-resampling and cost-sensitive classification for credit risk prediction. In: AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, 12-14 DECEMBER 2023, Cambridge, England. (In Press)

Qi, H., Shu, Z. and Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X (2023) Topology design for data center networks using deep reinforcement learning. In: 2023 International Conference on Information Networking (ICOIN), 11-14 January 2023, Bangkok, Thailand, pp. 251-256. doi: https://doi.org/10.1109/ICOIN56518.2023.10048955

Thesis

Pravin, C. (2023) Fragility, robustness, and antifragility in deep neural networks. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00112630

Taylor, R. (2023) Sensitivity analysis of convolutional neural networks: a ranking of hyper-parameter influence and its practical application. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00118663

Varzandian, A. (2023) Machine learning based biomarkers for neurodegenerative disease classification. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00111984