Christian Oliva

According to our database, Christian Oliva authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The Importance of the Current Input in Sequence Modeling.

Christian Oliva, Luis Fernando Lago-Fernández

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network.

Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

Advancing the Use of Information Compression Distances in Authorship Attribution.

Santiago Palmero Muñoz, Christian Oliva, Luis Fernando Lago-Fernández, David Arroyo

Proceedings of the Disinformation in Open Online Media, 2022

Improving LSTMs' under-performance in Authorship Attribution for short texts.

Christian Oliva, Santiago Palmero Muñoz, Luis Fernando Lago-Fernández, David Arroyo

Proceedings of the EICC 2022: European Interdisciplinary Cybersecurity Conference, Barcelona, Spain, June 15, 2022

Rumor and clickbait detection by combining information divergence measures and deep learning techniques.

Christian Oliva, Ignacio Palacio Marín, Luis Fernando Lago-Fernández, David Arroyo

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Stability of internal states in recurrent neural networks trained on regular languages.

Christian Oliva, Luis Fernando Lago-Fernández

Neurocomputing, 2021

Separation of Memory and Processing in Dual Recurrent Neural Networks.

Christian Oliva, Luis Fernando Lago-Fernández

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Precise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term Memory.

Christian Oliva, Vinicio Changoluisa, Francisco de Borja Rodríguez, Luis Fernando Lago-Fernández

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2019

Interpretability of Recurrent Neural Networks Trained on Regular Languages.

Christian Oliva, Luis Fernando Lago-Fernández

Proceedings of the Advances in Computational Intelligence, 2019

On the Interpretation of Recurrent Neural Networks as Finite State Machines.

Christian Oliva, Luis Fernando Lago-Fernández

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019