David McNaughton provided 3 teleconference presentations to the Sillala AAC conference in Helsinki, Finland.
Learning invariant representations from EEG via adversarial inference (Özdenizci et al., 2020)
Özdenizci et al. (2020) introduce an adversarial inference approach to learn representations that are invariant to inter-subject variabilities within a discriminative setting.
Information Theoretic Feature Transformation Learning for Brain Interfaces (Özdenizci & Erdoğmuş, 2019)
Özdenizci & Erdoğmuş (2019) address potential confounders caused by heuristic feature ranking and selection based dimensionality reduction methods that are widely used for brain interfaces and extend this focus with a novel information theoretic feature transformation concept.
“Building capacity in AAC” the most frequently downloaded paper in 2019!
McNaughton et al. (2019) article was the most frequently downloaded paper in the AAC journal in 2019.
RERC on AAC at ATIA 2020
RERC on AAC to present at the ATIA 2019 Conference in Orlando, FL.
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