5 citations · 7 across the 3 of their papers we have counts for
3 papers
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications
Giulia Cisotto, Alberto Zancanaro, Italo F. Zoppis +1
With the recent success of artificial intelligence in neuroscience, a number of deep learning (DL) models were proposed for classification, anomaly detection, and pattern recogniti…
vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders
Alberto Zancanaro, Giulia Cisotto, Italo Zoppis +1
Electroencephalografic (EEG) data are complex multi-dimensional time-series that are very useful in many applications, from diagnostics to driving brain-computer interface systems.…
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo +2
Motor imagery (MI)-based brain-computer interface (BCI) systems are being increasingly employed to provide alternative means of communication and control for people suffering from…