9 citations · 9 across the 3 of their papers we have counts for
5 papers
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…
The Importance of the Current Input in Sequence Modeling
Christian Oliva, Luis F. Lago-Fernández
The last advances in sequence modeling are mainly based on deep learning approaches. The current state of the art involves the use of variations of the standard LSTM architecture,…
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…
Separation of Memory and Processing in Dual Recurrent Neural Networks
Christian Oliva, Luis F. Lago-Fernández
We explore a neural network architecture that stacks a recurrent layer and a feedforward layer that is also connected to the input, and compare it to standard Elman and LSTM archit…