6 citations · 9 across the 8 of their papers we have counts for
5 papers · 1 filter
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
Emotion recognition is relevant in various domains, ranging from healthcare to human-computer interaction. Physiological signals, being beyond voluntary control, offer reliable inf…
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
Eleonora Lopez, Luigi Sigillo, Federica Colonnese +2
Generating images from brain waves is gaining increasing attention due to its potential to advance brain-computer interface (BCI) systems by understanding how brain signals encode…
TACE: Tumor-Aware Counterfactual Explanations
Eleonora Beatrice Rossi, Eleonora Lopez, Danilo Comminiello
The application of deep learning in medical imaging has significantly advanced diagnostic capabilities, enhancing both accuracy and efficiency. Despite these benefits, the lack of…
PHemoNet: A Multimodal Network for Physiological Signals
Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
Emotion recognition is essential across numerous fields, including medical applications and brain-computer interface (BCI). Emotional responses include behavioral reactions, such a…
Towards Explaining Hypercomplex Neural Networks
Eleonora Lopez, Eleonora Grassucci, Debora Capriotti +1
Hypercomplex neural networks are gaining increasing interest in the deep learning community. The attention directed towards hypercomplex models originates from several aspects, spa…