Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals.
Sabatina CriscuoloAndrea ApicellaRoberto PreveteLuca LongoPublished in: Comput. Stand. Interfaces (2025)
Keyphrases
- semi automated
- eeg signals
- latent space
- fully automated
- eye tracking
- latent variables
- low dimensional
- epileptic seizures
- signal processing
- brain computer interface
- dimensionality reduction
- restricted boltzmann machine
- fully automatic
- gaussian process
- gaussian processes
- data sets
- high dimensional
- probabilistic latent semantic analysis
- lower dimensional
- manifold learning
- matrix factorization
- semi automatic
- generative model
- support vector
- image segmentation