2 papers
eess.SP2021
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
Michela C. Massi, Francesca Ieva
EEG technology finds applications in several domains. Currently, most EEG systems require subjects to wear several electrodes on the scalp to be effective. However, several channel…
stat.ML2021
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
Michela C. Massi, Francesca Ieva, Francesca Gasperoni +1
Class imbalance is a common issue in many domain applications of learning algorithms. Oftentimes, in the same domains it is much more relevant to correctly classify and profile min…