2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.SP2021★ 2 cited
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism
Juan Manuel Mayor-Torres, Sara Medina-DeVilliers, Tessa Clarkson +2
Current models on Explainable Artificial Intelligence (XAI) have shown an evident and quantified lack of reliability for measuring feature-relevance when statistically entangled fe…
eess.SP2021
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity
Juan Manuel Mayor-Torres, Mirco Ravanelli, Sara E. Medina-DeVilliers +2
Machine learning methods, such as deep learning, show promising results in the medical domain. However, the lack of interpretability of these algorithms may hinder their applicabil…