Adversarial deep learning in EEG biometrics (Özdenizci et al., 2019)
Özdenizci et al. propose an adversarial inference approach to extend deep learning models to learn session-invariant person-discriminative representations.
Özdenizci et al. propose an adversarial inference approach to extend deep learning models to learn session-invariant person-discriminative representations.
Nezamfar et al. compare the efficacy of a BCI input signal, code-VEP via Electroencephalography, against eye gaze tracking.
Koçanaoğulları et al. propose an active querying procedure using mutual information maximization in recursive state estimation
Koçanaoğulları et al. introduce a novel sequential adaptive action value function for query selection using the multi-armed bandit framework.
Klein et al. present a case of an individual with presumed locked-in syndrome enrolled in an exploratory BCI study.