Tipo de publicación: journal-article

Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification

On the disagreement problem in Human-in-the-Loop federated machine learning

Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification

On generating trustworthy counterfactual explanations

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Emotion recognition in EEG signals using deep learning methods: A review

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023

LSTM new gate for computing the efficiency on inputdata

Neural representation of current and intended task sets during sequential judgements on human faces

Representational Organization of Novel Task Sets during Proactive Encoding