Christian Oliva

17 papers B 1Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Modeling Market States with Clustering and State Machines.
CoRR
Christian Oliva, Silviu Gabriel Tinjala
2025 J jnl
Multi-objective Portfolio Optimization Via Gradient Descent.
CoRR
Christian Oliva, Pedro R. Ventura, Luis Fernando Lago-Fernández
2025 — conf
The Explainability-Performance Coefficient: A New Metric for Model Transparency.
ICANN (1)
Christian Oliva, Luis Fernando Lago-Fernández
2023 — conf
Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network.
AIAI (1)
Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández
2023 — conf
Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks.
ICANN (6)
Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández
2023 — conf
The Importance of the Current Input in Sequence Modeling.
AIAI (1)
Christian Oliva, Luis Fernando Lago-Fernández
2022 — conf
Advancing the Use of Information Compression Distances in Authorship Attribution.
MISDOOM
Santiago Palmero Muñoz, Christian Oliva, Luis Fernando Lago-Fernández, David Arroyo
2022 — conf
Improving LSTMs' under-performance in Authorship Attribution for short texts.
EICC
Christian Oliva, Santiago Palmero Muñoz, Luis Fernando Lago-Fernández, David Arroyo
2022 B conf
Rumor and clickbait detection by combining information divergence measures and deep learning techniques.
ARES
Christian Oliva, Ignacio Palacio Marín, Luis Fernando Lago-Fernández, David Arroyo
2021 — conf
Precise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term Memory.
ICANN (4)
Christian Oliva, Vinicio Changoluisa, Francisco de Borja Rodríguez, Luis Fernando Lago-Fernández
2021 — conf
Separation of Memory and Processing in Dual Recurrent Neural Networks.
ICANN (4)
Christian Oliva, Luis Fernando Lago-Fernández
2021 J jnl
Stability of internal states in recurrent neural networks trained on regular languages.
Neurocomputing
Christian Oliva, Luis Fernando Lago-Fernández
2021 J jnl
The Importance of the Current Input in Sequence Modeling.
CoRR
Christian Oliva, Luis Fernando Lago-Fernández
2020 J jnl
Separation of Memory and Processing in Dual Recurrent Neural Networks.
CoRR
Christian Oliva, Luis Fernando Lago-Fernández
2020 J jnl
Stability of Internal States in Recurrent Neural Networks Trained on Regular Languages.
CoRR
Christian Oliva, Luis Fernando Lago-Fernández
2019 — conf
Interpretability of Recurrent Neural Networks Trained on Regular Languages.
IWANN (2)
Christian Oliva, Luis Fernando Lago-Fernández
2019 — conf
On the Interpretation of Recurrent Neural Networks as Finite State Machines.
ICANN (1)
Christian Oliva, Luis Fernando Lago-Fernández