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B
Bonifati, A. and Dumbrava, S. and Fletcher, G. and Hidders, Jan and Hofer, M. and Martens, W. and Murlak, F. and Shinavier, J. and Staworko, S. and Tomaszuk, D. (2022) Threshold queries in theory and in the wild. In: Özcan, F. and Freire, J. and Lin, X. (eds.) Proceedings of the VLDB Endowment. VLDB Endowment, pp. 1105-1118.
C
Chen, Y. and Zhang, H. and Tian, Z. and Wang, J. and Zhang, Dell and Li, Xuelong (2022) Enhanced Discrete Multi-modal Hashing: more constraints yet less time to learn. IEEE Transactions on Knowledge and Data Engineering (TKDE) 34 (3), pp. 1177-1190. ISSN 1041-4347.
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Frosini, Riccardo and Poulovassilis, Alex and Wood, Peter and Calì, Andrea (2022) Optimisation techniques for flexible SPARQL queries. ACM Transactions on the Web 16 (4), pp. 1-44. ISSN 1559-1131.
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Hemming, Joanna M. and Szyroka, Justyna and Shokano, Gracia and Arnold, T. and Skoda, M.W.A. and Rennie, A.R. and Thompson, Katherine C. (2022) Changes to lung surfactant monolayers upon exposure to gas phase ozone observed using X-ray and neutron reflectivity. Environmental Science: Atmospheres 2022 (2), pp. 753-760. ISSN 2634-3606.
Herzog, Nitsa J. and Magoulas, George D. (2022) Machine learning-supported MRI analysis of brain asymmetry for early diagnosis of dementia. In: Hassanien, A.E. and Bhatnagar, R. and Snášel, V. and Yasin Shams, M. (eds.) Medical Informatics and Bioimaging Using Artificial Intelligence. Studies in Computational Intelligence 1005. Springer, pp. 29-52. ISBN 9783030911034.
Herzog, Nitsa and Magoulas, George (2022) Convolutional neural networks-based framework for early identification of dementia using MRI of brain asymmetry. International Journal of Neural Systems 32 (12), ISSN 1793-6462.
Herzog, Nitsa and Magoulas, George (2022) Deep transfer learning for DTI- and MRI- based early diagnosis of cognitive decline and dementia. In: 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics-CIBB 2021, 15-17 Nov 2021, Online.
Herzog, Nitsa and Magoulas, George (2022) Transfer learning and magnetic resonance imaging techniques for the deep neural network-based diagnosis of early cognitive decline and dementia. In: Chicco, D. and Facchiano, A. and Mutarelli, M. (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics: 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers. Lecture Notes in Computer Science. Springer, pp. 53-66. ISBN 9783031208379.
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Soobramanien, N. and Williams, Luke (2022) Diego Garcia: a novel. London: Fitzcarraldo Editions. ISBN 9781913097936.
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Yuan, J. and Ji, W. and Zhang, Dell and Pan, J. and Wang, X. (2022) Micro-behavior encoding for session-based recommendation. In: UNSPECIFIED (ed.) Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE). IEEE. (In Press)
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Zhang, G. and Nulty, Paul and Lillis, D. (2022) A decade of legal argumentation mining: datasets and approaches. In: Rosso, P. and Basile, V. and Martínez, R. and Métais, E. and Meziane, F. (eds.) Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Valencia, Spain, June 15–17, 2022, Proceedings. Lecture Notes in Computer Science 13286. Springer, pp. 240-252. ISBN 9783031084720.