5 citations · 15 across the 6 of their papers we have counts for
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eess.SP2023★ 2 cited
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…
eess.SP2023★ 5 cited
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.…