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Wavelet-based denoising for EEG-based pattern recognition systems.

, , , and . SSCI, page 1249-1256. IEEE, (2020)

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Biometric recognition system performance measures for lossy compression on EEG signals., , and . Log. J. IGPL, 29 (6): 889-905 (2021)Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals., , and . KES, volume 159 of Procedia Computer Science, page 231-240. Elsevier, (2019)On The Study of EEG-based Cryptographic Key Generation., , , and . KES, volume 112 of Procedia Computer Science, page 936-945. Elsevier, (2017)Emotional Influences on Cryptographic Key Generation Systems using EEG signals., , , and . KES, volume 126 of Procedia Computer Science, page 703-712. Elsevier, (2018)Efficient Structured Matrix Rank Minimization., , , , and . NIPS, page 1350-1358. (2014)Generalised Support Vector Machine for Brain-Computer Interface., , , , and . ICONIP (1), volume 7062 of Lecture Notes in Computer Science, page 692-700. Springer, (2011)A Novel Parameter Refinement Approach to One Class Support Vector Machine., , , and . ICONIP (2), volume 7063 of Lecture Notes in Computer Science, page 529-536. Springer, (2011)A Theoretical Framework for Multi-sphere Support Vector Data Description., , , and . ICONIP (2), volume 6444 of Lecture Notes in Computer Science, page 132-142. Springer, (2010)Multiple distribution data description learning method for novelty detection., , , , and . IJCNN, page 2321-2326. IEEE, (2011)Maximal margin learning vector quantisation., , , and . IJCNN, page 1-6. IEEE, (2013)