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24 January 2021
Herzog, Nitsa J. and Magoulas, George D. (2021) Brain asymmetry detection and machine learning classification for diagnosis of early Dementia. Sensors 21 (3), ISSN 1424-8220.
4 May 2021
Ermaliuc, M. and Stamate, D. and Magoulas, George and Pu, I. (2021) Creating ensembles of generative adversarial network discriminators for one-class classification. In: 22nd International Conference on Engineering Applications of Neural Networks, 25-27 June 2021, Crete, Greece (online).
Herzog, Nitsa and Magoulas, George (2021) Deep learning of brain asymmetry images and transfer learning for early diagnosis of dementia. In: 22nd International Conference on Engineering Applications of Neural Networks, 25-27 June 2021, Crete, Greece (online).
Stamate, Cosmin and Magoulas, George and Thomas, Michael (2021) Deep learning topology-preserving EEG-based images for autism detection in infants. In: 22nd International Conference on Engineering Applications of Neural Networks, 25-27 June 2021, Crete, Greece (online).
18 June 2021
Angles, R. and Bonifati, A. and Dumbrava, S. and Fletcher, G. and Hare, K.W. and Hidders, Jan and Lee, V.E. and Li, B. and Libkin, L. and Martens, W. and Murlak, F. and Perryman, J. and Savkovic, O. and Schmidt, M. and Sequeda, J.F. and Staworko, S. and Tomaszuk, D. (2021) PG-Keys: keys for property graphs. In: UNSPECIFIED (ed.) SIGMOD '21: Proceedings of the 2021 International Conference on Management of Data. ACM, pp. 2423-2436. ISBN 9781450383431.
20 June 2021
Aamer, H. and Hidders, Jan and Paredaens, J. and Bussche, J.V.d. (2021) Expressiveness within Sequence Datalog. In: UNSPECIFIED (ed.) PODS'21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. ACM, pp. 70-81. ISBN 9781450383813.
11 July 2021
Chen, Y. and Hou, Y. and Leng, S. and Zhang, Q. and Lin, Z. and Zhang, Dell (2021) Long-tail hashing. In: UNSPECIFIED (ed.) Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, pp. 1328-1338. ISBN 9781450380379. (In Press)