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Stable EEG Features for Biometric Recognition in Resting State Conditions., , and . BIOSTEC (Selected Papers), volume 452 of Communications in Computer and Information Science, page 313-330. Springer, (2013)Use of polynomial classifiers for on-line signature recognition., , , and . BTAS, page 265-270. IEEE, (2012)Brain response to Information Structure misalignments in linguistic contexts., , , , and . Neurocomputing, (2016)On the Repeatability of EEG Features in a Biometric Recognition Framework using a Resting State Protocol., , and . BIOSIGNALS, page 419-428. SciTePress, (2013)EEG Based User Recognition Using BUMP Modelling., , and . BIOSIG, volume P-212 of LNI, page 159-170. GI, (2013)Scale-Free Functional Connectivity Analysis from Source Reconstructed MEG Data., , , , , and . EUSIPCO, page 1397-1401. IEEE, (2018)Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series., , , , and . ISBI, page 143-146. IEEE, (2019)EEG Biometrics for User Recognition using Visually Evoked Potentials., , , and . BIOSIG, volume P-245 of LNI, page 303-310. GI, (2015)Eigenbrains and Eigentensorbrains: Parsimonious bases for EEG biometrics., , and . Neurocomputing, (2016)EEG biometrics for individual recognition in resting state with closed eyes., , and . BIOSIG, volume P-196 of LNI, page 1-12. GI, (2012)additionally published as volume P-196 in the "Lecture Notes in Informatics" (LNI) series.