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Biometric recognition system performance measures for lossy compression on EEG signals., , и . Log. J. IGPL, 29 (6): 889-905 (2021)Efficient Structured Matrix Rank Minimization., , , , и . NIPS, стр. 1350-1358. (2014)Fuzzy Multi-sphere Support Vector Data Description., , , и . FUZZ-IEEE, стр. 1-5. IEEE, (2012)Multiple distribution data description learning method for novelty detection., , , , и . IJCNN, стр. 2321-2326. IEEE, (2011)Maximal margin learning vector quantisation., , , и . IJCNN, стр. 1-6. IEEE, (2013)Graph-based semi-supervised Support Vector Data Description for novelty detection., , , , , и . IJCNN, стр. 1-6. IEEE, (2015)An intelligent learning-based watermarking scheme for outsourced biomedical time series data., , и . IJCNN, стр. 4408-4415. IEEE, (2017)Multiple Distribution Data Description Learning Algorithm for Novelty Detection., , , и . PAKDD (2), том 6635 из Lecture Notes in Computer Science, стр. 246-257. Springer, (2011)Emotional Influences on Cryptographic Key Generation Systems using EEG signals., , , и . KES, том 126 из Procedia Computer Science, стр. 703-712. Elsevier, (2018)Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals., , и . KES, том 159 из Procedia Computer Science, стр. 231-240. Elsevier, (2019)