A biologically inspired autonomous robot that learns approach-avoidance behaviors. - Luis Fernando Lago-Fernández; Manuel A. Sánchez-Montañés; Sergio López-Buedo (Agents, 2000)

Simultaneous Parallel Processing of Object and Position by Temporal Correlation. - Luis Fernando Lago-Fernández; Gustavo Deco (IWANN (2), 2001)

A biologically inspired visual system for an autonomous robot. - Luis Fernando Lago-Fernández; Manuel A. Sánchez-Montañés; Fernando J. Corbacho (Neurocomputing, 2001)

Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability. - Luis Fernando Lago-Fernández; Fernando J. Corbacho; Ramón Huerta (Neural Networks, 2001)

Optimal Extraction of Hidden Causes. - Luis Fernando Lago-Fernández; Fernando J. Corbacho (ICANN, 2002)

A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy. - Manuel A. Sánchez-Montañés; Luis Fernando Lago-Fernández; Nazareth P. Castellanos; Ángel Merchán-Pérez; Jon I. Arellano; Javier DeFelipe (ICANN, 2002)

A model of binocular rivalry based on competition in IT. - Luis Fernando Lago-Fernández; Gustavo Deco (Neurocomputing, 2002)

A visual system for invariant recognition in animated image sequences. - Luis Fernando Lago-Fernández; Manuel A. Sánchez-Montañés; Eduardo Sánchez (Neurocomputing, 2003)

Feature Discovery in Classification Problems. - Manuel del Valle; Beatriz Sánchez; Luis Fernando Lago-Fernández; Fernando J. Corbacho (IDA, 2005)

Towards a Methodology to Search for Near-Optimal Representations in Classification Problems. - Manuel del Valle; Beatriz Sánchez; Luis Fernando Lago-Fernández; Fernando J. Corbacho (IWINAC (2), 2005)

Evolutionary Search of Optimal Features. - Manuel del Valle; Luis Fernando Lago-Fernández; Fernando J. Corbacho (IDEAL, 2006)

Spike alignment in bursting neurons. - Luis Fernando Lago-Fernández (Neurocomputing, 2007)

Fuzzy Cluster Validation Using the Partition Negentropy Criterion. - Luis Fernando Lago-Fernández; Manuel A. Sánchez-Montañés; Fernando J. Corbacho (ICANN (2), 2009)

Using the Negentropy Increment to Determine the Number of Clusters. - Luis Fernando Lago-Fernández; Fernando J. Corbacho (IWANN (1), 2009)

Determining Burst Firing Time Distributions from Multiple Spike Trains. - Luis Fernando Lago-Fernández; Attila Szücs; Pablo Varona (Neural Comput., 2009)

Normality-based validation for crisp clustering. - Luis Fernando Lago-Fernández; Fernando J. Corbacho (Pattern Recognit., 2010)

A comparison of techniques for robust gender recognition. - Richard N. Rojas-Bello; Luis Fernando Lago-Fernández; Gonzalo Martínez-Muñoz; Manuel A. Sánchez-Montañés (ICIP, 2011)

Intelligent Image Analysis of Diffusion Weighted Data Sets: A New Tool for Functional Imaging. - Blanca Lizarbe; Ania Benitez; Luis Fernando Lago-Fernández; Manuel A. Sánchez-Montañés; Pilar López-Larrubia; Sebastián Cerdán (IWCIA, 2011)

The effect of low number of points in clustering validation via the negentropy increment. - Luis Fernando Lago-Fernández; Manuel A. Sánchez-Montañés; Fernando J. Corbacho (Neurocomputing, 2011)

Evaluation of Negentropy-based Cluster Validation Techniques in Problems with Increasing Dimensionality. - Luis Fernando Lago-Fernández; Gonzalo Martínez-Muñoz; Ana M. González; Manuel A. Sánchez-Montañés (ICPRAM (1), 2012)

Imaging hypothalamic activity using diffusion weighted magnetic resonance imaging in the mouse and human brain. - Blanca Lizarbe; Ania Benitez; Manuel A. Sánchez-Montañés; Luis Fernando Lago-Fernández; María L. Garcia-Martin; Pilar López-Larrubia; Sebastián Cerdán (NeuroImage, 2013)

Cluster validation in problems with increasing dimensionality and unbalanced clusters. - Luis Fernando Lago-Fernández; Jesús Aragón; Gonzalo Martínez-Muñoz; Ana M. González; Manuel A. Sánchez-Montañés (Neurocomputing, 2014)

A Parameter-Free Method for the Detection of Web Attacks. - Gonzalo de la Torre-Abaitua; Luis Fernando Lago-Fernández; David Arroyo (SOCO-CISIS-ICEUTE, 2017)

On the Interpretation of Recurrent Neural Networks as Finite State Machines. - Christian Oliva; Luis Fernando Lago-Fernández (ICANN (1), 2019)

Validation of Unimodal Non-Gaussian Clusters. - Luis Fernando Lago-Fernández; Jesús Aragón; Manuel A. Sánchez-Montañés (IWANN (2), 2019)

Interpretability of Recurrent Neural Networks Trained on Regular Languages. - Christian Oliva; Luis Fernando Lago-Fernández (IWANN (2), 2019)

A compression based framework for the detection of anomalies in heterogeneous data sources. - Gonzalo de la Torre-Abaitua; Luis Fernando Lago-Fernández; David Arroyo (CoRR, 2019)

On the application of compression-based metrics to identifying anomalous behaviour in web traffic. - Gonzalo de la Torre-Abaitua; Luis Fernando Lago-Fernández; David Arroyo (Log. J. IGPL, 2020)

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 (ICANN (4), 2021)

Separation of Memory and Processing in Dual Recurrent Neural Networks. - Christian Oliva; Luis Fernando Lago-Fernández (ICANN (4), 2021)

Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines. - Faisal Saleem Alraddadi; Luis Fernando Lago-Fernández; Francisco de Borja Rodríguez (IWANN (2), 2021)

Backward Gradient Normalization in Deep Neural Networks. - Alejandro Cabaña; Luis Fernando Lago-Fernández (CoRR, 2021)

A Compression-Based Method for Detecting Anomalies in Textual Data. - Gonzalo de la Torre-Abaitua; Luis Fernando Lago-Fernández; David Arroyo (Entropy, 2021)

Stability of internal states in recurrent neural networks trained on regular languages. - Christian Oliva; Luis Fernando Lago-Fernández (Neurocomputing, 2021)

Rumor and clickbait detection by combining information divergence measures and deep learning techniques. - Christian Oliva; Ignacio Palacio Marín; Luis Fernando Lago-Fernández; David Arroyo (ARES, 2022)

Improving LSTMs' under-performance in Authorship Attribution for short texts. - Christian Oliva; Santiago Palmero Muñoz; Luis Fernando Lago-Fernández; David Arroyo (EICC, 2022)

Advancing the Use of Information Compression Distances in Authorship Attribution. - Santiago Palmero Muñoz; Christian Oliva; Luis Fernando Lago-Fernández; David Arroyo (MISDOOM, 2022)

Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks. - Christian Oliva; Vinicio Changoluisa; Francisco B. Rodríguez; Luis Fernando Lago-Fernández (ICANN (6), 2023)

Gradient-Based Learning of Finite Automata. - Juan Fdez. del Pozo Romero; Luis Fernando Lago-Fernández (ICANN (8), 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 (AIAI (1), 2023)

The Importance of the Current Input in Sequence Modeling. - Christian Oliva; Luis Fernando Lago-Fernández (AIAI (1), 2023)

Recurrent Neural Network based Counter Automata. - Sérgio Leal; Luis Fernando Lago-Fernández (ESANN, 2024)

Malware Detection Through API Call Frequency: Assessing Early-Stage versus Full-Time Classification Potential. - Neshat Ali Dad; Luis Fernando Lago-Fernández; Francisco B. Rodríguez (AIAI (3), 2025)

Multi-objective Portfolio Optimization Via Gradient Descent. - Christian Oliva; Pedro R. Ventura; Luis Fernando Lago-Fernández (CoRR, 2025)