Christian Oliva

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Recurrent Neural Networks

Regular Languages

Internal States

Top Venues

Publications

Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández
Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network. AIAI (1) (2023)
Christian Oliva, Luis Fernando Lago-Fernández
The Importance of the Current Input in Sequence Modeling. AIAI (1) (2023)
Santiago Palmero Muñoz, Christian Oliva, Luis Fernando Lago-Fernández, David Arroyo
Advancing the Use of Information Compression Distances in Authorship Attribution. MISDOOM (2022)
Christian Oliva, Ignacio Palacio Marín, Luis Fernando Lago-Fernández, David Arroyo
Rumor and clickbait detection by combining information divergence measures and deep learning techniques. ARES (2022)
Christian Oliva, Santiago Palmero Muñoz, Luis Fernando Lago-Fernández, David Arroyo
Improving LSTMs' under-performance in Authorship Attribution for short texts. EICC (2022)
Christian Oliva, Luis Fernando Lago-Fernández
The Importance of the Current Input in Sequence Modeling. CoRR (2021)
Christian Oliva, Luis Fernando Lago-Fernández
Stability of internal states in recurrent neural networks trained on regular languages. Neurocomputing 452 (2021)
Christian Oliva, Vinicio Changoluisa, Francisco de Borja Rodríguez, Luis Fernando Lago-Fernández
Precise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term Memory. ICANN (4) (2021)
Christian Oliva, Luis Fernando Lago-Fernández
Separation of Memory and Processing in Dual Recurrent Neural Networks. ICANN (4) (2021)
Christian Oliva, Luis Fernando Lago-Fernández
Stability of Internal States in Recurrent Neural Networks Trained on Regular Languages. CoRR (2020)
Christian Oliva, Luis Fernando Lago-Fernández
Separation of Memory and Processing in Dual Recurrent Neural Networks. CoRR (2020)
Christian Oliva, Luis Fernando Lago-Fernández
On the Interpretation of Recurrent Neural Networks as Finite State Machines. ICANN (1) (2019)
Christian Oliva, Luis Fernando Lago-Fernández
Interpretability of Recurrent Neural Networks Trained on Regular Languages. IWANN (2) (2019)