most citedEvaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism

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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…