The laborious and costly nature of affect annotation is a key detrimenta...
How can we reliably transfer affect models trained in controlled laborat...
Affective computing strives to unveil the unknown relationship between a...
Affect modeling is viewed, traditionally, as the process of mapping
meas...
Stochastic gradient descent (SGD) is a premium optimization method for
t...
Current deep learning architectures show remarkable performance when tra...