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Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease.

, , , , , , , , , , , , and . AIME, volume 10259 of Lecture Notes in Computer Science, page 65-75. Springer, (2017)

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Electroencephalographic complexity markers explain neuropsychological test scores in Alzheimer's disease., , , , , , , , , and 4 other author(s). BHI, page 496-499. IEEE, (2014)Quantitative EEG Markers of Entropy and Auto Mutual Information in Relation to MMSE Scores of Probable Alzheimer's Disease Patients., , , , , , , , , and . Entropy, 19 (3): 130 (2017)Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease., , , , , , , , , and 3 other author(s). AIME, volume 10259 of Lecture Notes in Computer Science, page 65-75. Springer, (2017)Robust, automatic real-time monitoring of the time course of the individual alpha frequency in the time and frequency domain., , , , and . EMBC, page 2227-2231. IEEE, (2012)Predicting rapid cognitive decline in Alzheimer's disease patients using quantitative EEG markers and neuropsychological test scores., , , , , , , , and . EMBC, page 6078-6081. IEEE, (2016)Using static and dynamic canonical correlation coefficients as quantitative EEG markers for Alzheimer's disease severity., , , , , , , , , and 4 other author(s). EMBC, page 2801-2804. IEEE, (2014)