Luis Fernando Lago-Fernández

50 papers B 4C 4Journal 20Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ATT&CK to CVE: A Large-Scale Automated Knowledge Graph for Threat Intelligence. ICDM (Workshops) Moqsadur Rahman, Monika Akbar, Joseph T. Aguayo, Mahmud Shahriar Hossain, Tina M. Ellis, Siddhartha Shankar Das, Mohammad Fakhruddin Babar, Monowar Hasan, Aaron Sanchez, Luis Fernando Lago-Fernández, Mahantesh Halappanavar
2025	J	`jnl`	Enhancing Cyberattack Prevention Through Anomaly Detection Ensembles and Diverse Training Sets. Comput. Faisal Saleem Alraddadi, Luis Fernando Lago-Fernández, Francisco B. Rodríguez
2025	—	`conf`	Malware Detection Through API Call Frequency: Assessing Early-Stage versus Full-Time Classification Potential. AIAI (3) Neshat Ali Dad, Luis Fernando Lago-Fernández, Francisco B. Rodríguez
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
2024	B	`conf`	Recurrent Neural Network based Counter Automata. ESANN Sérgio Leal, 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`	Gradient-Based Learning of Finite Automata. ICANN (8) Juan Fdez. del Pozo Romero, 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	J	`jnl`	A Compression-Based Method for Detecting Anomalies in Textual Data. Entropy Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo
2021	J	`jnl`	Backward Gradient Normalization in Deep Neural Networks. CoRR Alejandro Cabaña, Luis Fernando Lago-Fernández
2021	—	`conf`	Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines. IWANN (2) Faisal Saleem Alraddadi, Luis Fernando Lago-Fernández, Francisco de Borja Rodríguez
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`	On the application of compression-based metrics to identifying anomalous behaviour in web traffic. Log. J. IGPL Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo
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	J	`jnl`	A compression based framework for the detection of anomalies in heterogeneous data sources. CoRR Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo
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
2019	—	`conf`	Validation of Unimodal Non-Gaussian Clusters. IWANN (2) Luis Fernando Lago-Fernández, Jesús Aragón, Manuel A. Sánchez-Montañés
2017	—	`conf`	A Parameter-Free Method for the Detection of Web Attacks. SOCO-CISIS-ICEUTE Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo
2014	J	`jnl`	Cluster validation in problems with increasing dimensionality and unbalanced clusters. Neurocomputing Luis Fernando Lago-Fernández, Jesús Aragón, Gonzalo Martínez-Muñoz, Ana M. González, Manuel A. Sánchez-Montañés
2013	J	`jnl`	Imaging hypothalamic activity using diffusion weighted magnetic resonance imaging in the mouse and human brain. NeuroImage Blanca Lizarbe, Ania Benitez, Manuel A. Sánchez-Montañés, Luis Fernando Lago-Fernández, María L. Garcia-Martin, Pilar López-Larrubia, Sebastián Cerdán
2012	—	`conf`	Evaluation of Negentropy-based Cluster Validation Techniques in Problems with Increasing Dimensionality. ICPRAM (1) Luis Fernando Lago-Fernández, Gonzalo Martínez-Muñoz, Ana M. González, Manuel A. Sánchez-Montañés
2011	B	`conf`	A comparison of techniques for robust gender recognition. ICIP Richard N. Rojas-Bello, Luis Fernando Lago-Fernández, Gonzalo Martínez-Muñoz, Manuel A. Sánchez-Montañés
2011	C	`conf`	Intelligent Image Analysis of Diffusion Weighted Data Sets: A New Tool for Functional Imaging. IWCIA Blanca Lizarbe, Ania Benitez, Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Pilar López-Larrubia, Sebastián Cerdán
2011	J	`jnl`	The effect of low number of points in clustering validation via the negentropy increment. Neurocomputing Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Fernando J. Corbacho
2010	J	`jnl`	Normality-based validation for crisp clustering. Pattern Recognit. Luis Fernando Lago-Fernández, Fernando J. Corbacho
2009	J	`jnl`	Determining Burst Firing Time Distributions from Multiple Spike Trains. Neural Comput. Luis Fernando Lago-Fernández, Attila Szücs, Pablo Varona
2009	—	`conf`	Fuzzy Cluster Validation Using the Partition Negentropy Criterion. ICANN (2) Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Fernando J. Corbacho
2009	—	`conf`	Using the Negentropy Increment to Determine the Number of Clusters. IWANN (1) Luis Fernando Lago-Fernández, Fernando J. Corbacho
2007	J	`jnl`	Spike alignment in bursting neurons. Neurocomputing Luis Fernando Lago-Fernández
2006	C	`conf`	Evolutionary Search of Optimal Features. IDEAL Manuel del Valle, Luis Fernando Lago-Fernández, Fernando J. Corbacho
2005	B	`conf`	Feature Discovery in Classification Problems. IDA Manuel del Valle, Beatriz Sánchez, Luis Fernando Lago-Fernández, Fernando J. Corbacho
2005	—	`conf`	Towards a Methodology to Search for Near-Optimal Representations in Classification Problems. IWINAC (2) Manuel del Valle, Beatriz Sánchez, Luis Fernando Lago-Fernández, Fernando J. Corbacho
2003	J	`jnl`	A visual system for invariant recognition in animated image sequences. Neurocomputing Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Eduardo Sánchez
2002	C	`conf`	A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy. ICANN Manuel A. Sánchez-Montañés, Luis Fernando Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez, Jon I. Arellano, Javier DeFelipe
2002	J	`jnl`	A model of binocular rivalry based on competition in IT. Neurocomputing Luis Fernando Lago-Fernández, Gustavo Deco
2002	C	`conf`	Optimal Extraction of Hidden Causes. ICANN Luis Fernando Lago-Fernández, Fernando J. Corbacho
2001	J	`jnl`	A biologically inspired visual system for an autonomous robot. Neurocomputing Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Fernando J. Corbacho
2001	J	`jnl`	Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability. Neural Networks Luis Fernando Lago-Fernández, Fernando J. Corbacho, Ramón Huerta
2001	—	`conf`	Simultaneous Parallel Processing of Object and Position by Temporal Correlation. IWANN (2) Luis Fernando Lago-Fernández, Gustavo Deco
2000	—	`conf`	A biologically inspired autonomous robot that learns approach-avoidance behaviors. Agents Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Sergio López-Buedo