Luis Fernando Lago-Fernández

Orcid: 0000-0001-8639-8731

According to our database1, Luis Fernando Lago-Fernández authored at least 41 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The Importance of the Current Input in Sequence Modeling.
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.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Gradient-Based Learning of Finite Automata.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Advancing the Use of Information Compression Distances in Authorship Attribution.
Proceedings of the Disinformation in Open Online Media, 2022

Improving LSTMs' under-performance in Authorship Attribution for short texts.
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.
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.
Neurocomputing, 2021

A Compression-Based Method for Detecting Anomalies in Textual Data.
Entropy, 2021

Backward Gradient Normalization in Deep Neural Networks.
CoRR, 2021

Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines.
Proceedings of the Advances in Computational Intelligence, 2021

Separation of Memory and Processing in Dual Recurrent Neural Networks.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
On the application of compression-based metrics to identifying anomalous behaviour in web traffic.
Log. J. IGPL, 2020

2019
A compression based framework for the detection of anomalies in heterogeneous data sources.
CoRR, 2019

Interpretability of Recurrent Neural Networks Trained on Regular Languages.
Proceedings of the Advances in Computational Intelligence, 2019

Validation of Unimodal Non-Gaussian Clusters.
Proceedings of the Advances in Computational Intelligence, 2019

On the Interpretation of Recurrent Neural Networks as Finite State Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2017
A Parameter-Free Method for the Detection of Web Attacks.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

2014
Cluster validation in problems with increasing dimensionality and unbalanced clusters.
Neurocomputing, 2014

2013
Imaging hypothalamic activity using diffusion weighted magnetic resonance imaging in the mouse and human brain.
NeuroImage, 2013

2012
Evaluation of Negentropy-based Cluster Validation Techniques in Problems with Increasing Dimensionality.
Proceedings of the ICPRAM 2012, 2012

2011
The effect of low number of points in clustering validation via the negentropy increment.
Neurocomputing, 2011

Intelligent Image Analysis of Diffusion Weighted Data Sets: A New Tool for Functional Imaging.
Proceedings of the Combinatorial Image Analysis - 14th International Workshop, 2011

A comparison of techniques for robust gender recognition.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Normality-based validation for crisp clustering.
Pattern Recognit., 2010

2009
Determining Burst Firing Time Distributions from Multiple Spike Trains.
Neural Comput., 2009

Using the Negentropy Increment to Determine the Number of Clusters.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Fuzzy Cluster Validation Using the Partition Negentropy Criterion.
Proceedings of the Artificial Neural Networks, 2009

2007
Spike alignment in bursting neurons.
Neurocomputing, 2007

2006
Evolutionary Search of Optimal Features.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005
Towards a Methodology to Search for Near-Optimal Representations in Classification Problems.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Feature Discovery in Classification Problems.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

2003
A visual system for invariant recognition in animated image sequences.
Neurocomputing, 2003

2002
A model of binocular rivalry based on competition in IT.
Neurocomputing, 2002

A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy.
Proceedings of the Artificial Neural Networks, 2002

Optimal Extraction of Hidden Causes.
Proceedings of the Artificial Neural Networks, 2002

2001
Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability.
Neural Networks, 2001

A biologically inspired visual system for an autonomous robot.
Neurocomputing, 2001

Simultaneous Parallel Processing of Object and Position by Temporal Correlation.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

2000
A biologically inspired autonomous robot that learns approach-avoidance behaviors.
Proceedings of the Fourth International Conference on Autonomous Agents, 2000


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