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Luis Fernando Lago-Fernández
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2020 – today
- 2023
- [c26]Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández:
Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks. ICANN (6) 2023: 25-36 - [c25]Juan Fdez. del Pozo Romero, Luis Fernando Lago-Fernández:
Gradient-Based Learning of Finite Automata. ICANN (8) 2023: 294-305 - [c24]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: 90-101 - [c23]Christian Oliva, Luis Fernando Lago-Fernández:
The Importance of the Current Input in Sequence Modeling. AIAI (1) 2023: 161-172 - 2022
- [c22]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: 16:1-16:6 - [c21]Christian Oliva, Santiago Palmero Muñoz, Luis Fernando Lago-Fernández, David Arroyo:
Improving LSTMs' under-performance in Authorship Attribution for short texts. EICC 2022: 99-101 - [c20]Santiago Palmero Muñoz, Christian Oliva, Luis Fernando Lago-Fernández, David Arroyo:
Advancing the Use of Information Compression Distances in Authorship Attribution. MISDOOM 2022: 114-122 - 2021
- [j13]Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo:
A Compression-Based Method for Detecting Anomalies in Textual Data. Entropy 23(5): 618 (2021) - [j12]Christian Oliva, Luis Fernando Lago-Fernández:
Stability of internal states in recurrent neural networks trained on regular languages. Neurocomputing 452: 212-223 (2021) - [c19]Christian Oliva, Luis Fernando Lago-Fernández:
Separation of Memory and Processing in Dual Recurrent Neural Networks. ICANN (4) 2021: 360-371 - [c18]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: 457-468 - [c17]Faisal Saleem Alraddadi, Luis Fernando Lago-Fernández, Francisco de Borja Rodríguez:
Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines. IWANN (2) 2021: 416-428 - [i5]Alejandro Cabaña, Luis Fernando Lago-Fernández:
Backward Gradient Normalization in Deep Neural Networks. CoRR abs/2106.09475 (2021) - [i4]Christian Oliva, Luis Fernando Lago-Fernández:
The Importance of the Current Input in Sequence Modeling. CoRR abs/2112.11776 (2021) - 2020
- [j11]Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo:
On the application of compression-based metrics to identifying anomalous behaviour in web traffic. Log. J. IGPL 28(4): 546-557 (2020) - [i3]Christian Oliva, Luis Fernando Lago-Fernández:
Separation of Memory and Processing in Dual Recurrent Neural Networks. CoRR abs/2005.13971 (2020) - [i2]Christian Oliva, Luis Fernando Lago-Fernández:
Stability of Internal States in Recurrent Neural Networks Trained on Regular Languages. CoRR abs/2006.10828 (2020)
2010 – 2019
- 2019
- [c16]Christian Oliva, Luis Fernando Lago-Fernández:
On the Interpretation of Recurrent Neural Networks as Finite State Machines. ICANN (1) 2019: 312-323 - [c15]Christian Oliva, Luis Fernando Lago-Fernández:
Interpretability of Recurrent Neural Networks Trained on Regular Languages. IWANN (2) 2019: 14-25 - [c14]Luis Fernando Lago-Fernández, Jesús Aragón, Manuel A. Sánchez-Montañés:
Validation of Unimodal Non-Gaussian Clusters. IWANN (2) 2019: 601-611 - [i1]Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo:
A compression based framework for the detection of anomalies in heterogeneous data sources. CoRR abs/1908.00417 (2019) - 2017
- [c13]Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo:
A Parameter-Free Method for the Detection of Web Attacks. SOCO-CISIS-ICEUTE 2017: 661-671 - 2014
- [j10]Luis Fernando Lago-Fernández, Jesús Aragón, Gonzalo Martínez-Muñoz, Ana M. González, Manuel A. Sánchez-Montañés:
Cluster validation in problems with increasing dimensionality and unbalanced clusters. Neurocomputing 123: 33-39 (2014) - 2013
- [j9]Blanca Lizarbe, Ania Benitez, Manuel A. Sánchez-Montañés, Luis Fernando Lago-Fernández, María L. Garcia-Martin, Pilar López-Larrubia, Sebastián Cerdán:
Imaging hypothalamic activity using diffusion weighted magnetic resonance imaging in the mouse and human brain. NeuroImage 64: 448-457 (2013) - 2012
- [c12]Luis Fernando Lago-Fernández, Gonzalo Martínez-Muñoz, Ana M. González, Manuel A. Sánchez-Montañés:
Evaluation of Negentropy-based Cluster Validation Techniques in Problems with Increasing Dimensionality. ICPRAM (1) 2012: 235-241 - 2011
- [j8]Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
The effect of low number of points in clustering validation via the negentropy increment. Neurocomputing 74(16): 2657-2664 (2011) - [c11]Richard N. Rojas-Bello, Luis Fernando Lago-Fernández, Gonzalo Martínez-Muñoz, Manuel A. Sánchez-Montañés:
A comparison of techniques for robust gender recognition. ICIP 2011: 561-564 - [c10]Blanca Lizarbe, Ania Benitez, Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Pilar López-Larrubia, Sebastián Cerdán:
Intelligent Image Analysis of Diffusion Weighted Data Sets: A New Tool for Functional Imaging. IWCIA 2011: 9-12 - 2010
- [j7]Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Normality-based validation for crisp clustering. Pattern Recognit. 43(3): 782-795 (2010)
2000 – 2009
- 2009
- [j6]Luis Fernando Lago-Fernández, Attila Szücs, Pablo Varona:
Determining Burst Firing Time Distributions from Multiple Spike Trains. Neural Comput. 21(4): 973-990 (2009) - [c9]Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
Fuzzy Cluster Validation Using the Partition Negentropy Criterion. ICANN (2) 2009: 235-244 - [c8]Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Using the Negentropy Increment to Determine the Number of Clusters. IWANN (1) 2009: 448-455 - 2007
- [j5]Luis Fernando Lago-Fernández:
Spike alignment in bursting neurons. Neurocomputing 70(10-12): 1788-1791 (2007) - 2006
- [c7]Manuel del Valle, Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Evolutionary Search of Optimal Features. IDEAL 2006: 944-952 - 2005
- [c6]Manuel del Valle, Beatriz Sánchez, Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Feature Discovery in Classification Problems. IDA 2005: 486-496 - [c5]Manuel del Valle, Beatriz Sánchez, Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Towards a Methodology to Search for Near-Optimal Representations in Classification Problems. IWINAC (2) 2005: 291-299 - 2003
- [j4]Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Eduardo Sánchez:
A visual system for invariant recognition in animated image sequences. Neurocomputing 52-54: 631-636 (2003) - 2002
- [j3]Luis Fernando Lago-Fernández, Gustavo Deco:
A model of binocular rivalry based on competition in IT. Neurocomputing 44-46: 503-507 (2002) - [c4]Manuel A. Sánchez-Montañés, Luis Fernando Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez, Jon I. Arellano, Javier DeFelipe:
A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy. ICANN 2002: 248-253 - [c3]Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Optimal Extraction of Hidden Causes. ICANN 2002: 631-636 - 2001
- [j2]Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
A biologically inspired visual system for an autonomous robot. Neurocomputing 38-40: 1385-1391 (2001) - [j1]Luis Fernando Lago-Fernández, Fernando J. Corbacho, Ramón Huerta:
Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability. Neural Networks 14(6-7): 687-696 (2001) - [c2]Luis Fernando Lago-Fernández, Gustavo Deco:
Simultaneous Parallel Processing of Object and Position by Temporal Correlation. IWANN (2) 2001: 64-71 - 2000
- [c1]Luis Fernando Lago-Fernández, Manuel A. Sánchez-Montañés, Sergio López-Buedo:
A biologically inspired autonomous robot that learns approach-avoidance behaviors. Agents 2000: 27-28
Coauthor Index
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