9 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
A Human-Centered Validation of the Explainability-Performance Coefficient
Christian Oliva, Luis F. Lago-Fernández
The rapid adoption of deep learning models in high-risk domains has intensified the need for trustworthy Explainable Artificial Intelligence (XAI). However, objectively evaluating…
Explainability of Recurrent Neural Networks for Enhancing P300-based Brain-Computer Interfaces
Christian Oliva, Vinicio Changoluisa, Francisco B Rodríguez +1
Brain-Computer Interfaces (BCIs) based on P300 event-related potentials offer promising applications in health, education, and assistive technologies. However, challenges related t…
Backward Gradient Normalization in Deep Neural Networks
Alejandro Cabana, Luis F. Lago-Fernández
We introduce a new technique for gradient normalization during neural network training. The gradients are rescaled during the backward pass using normalization layers introduced at…
Stability of Internal States in Recurrent Neural Networks Trained on Regular Languages
Christian Oliva, Luis F. Lago-Fernández
We provide an empirical study of the stability of recurrent neural networks trained to recognize regular languages. When a small amount of noise is introduced into the activation f…