David Luengo

According to our database, David Luengo authored at least 86 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems.

Mario Refoyo, David Luengo

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Adaptive Trend Filtering for ECG Denoising and Delineation.

Tom Trigano, Shlomi Talala, David Luengo

IEEE J. Biomed. Health Informatics, December, 2023

Efficient Clustering-Based electrocardiographic biometric identification.

David Meltzer, David Luengo

Expert Syst. Appl., June, 2023

Intracardiac ECG pulse localization using overlapping block sparse reconstruction.

Tom Trigano, David Luengo

Biomed. Signal Process. Control., 2023

2022

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions.

Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls

IEEE Trans. Geosci. Remote. Sens., 2022

An efficient clustering-based non-fiducial approach for ECG biometric recognition.

David Meltzer, David Luengo

Proceedings of the 30th European Signal Processing Conference, 2022

2021

A Novel Scheme of Multicarrier Modulation With the Discrete Cosine Transform.

María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal, Fernando Cruz-Roldán

IEEE Trans. Wirel. Commun., 2021

2020

Fast proximal optimization for sparse reconstruction with dictionaries based on translated waveforms.

Tom Trigano, Shira Vaknin, David Luengo

Signal Process., 2020

A survey of Monte Carlo methods for parameter estimation.

David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä

EURASIP J. Adv. Signal Process., 2020

Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions.

David Luengo, Javier Vía, Tom Trigano

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms.

David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Carlos Sánchez, Antonio Artés-Rodríguez

IEEE J. Biomed. Health Informatics, 2019

Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels.

Luca Martino, David Luengo

Commun. Stat. Simul. Comput., 2019

Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods.

David Meltzer, David Luengo

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

On the Feasibility of SISO /MIMO-PLC based on the Discrete Cosine Transform Type-III even.

María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Oses, David Luengo

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling.

David Meltzer, David Luengo

Proceedings of the IEEE International Conference on Acoustics, 2019

Overcomplete Multi-scale Dictionaries for Efficient Representation of ECG Signals.

David Meltzer, David Luengo, Tom Trigano

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2018

Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution.

Francisco Hernando-Gallego, David Luengo, Antonio Artés-Rodríguez

IEEE J. Biomed. Health Informatics, 2018

Adaptive independent sticky MCMC algorithms.

Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo

EURASIP J. Adv. Signal Process., 2018

Efficient linear fusion of partial estimators.

David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo

Digit. Signal Process., 2018

Physics-aware Gaussian processes in remote sensing.

Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro

Appl. Soft Comput., 2018

Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals.

David Luengo, David Meltzer, Tom Trigano

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Signal Reconstruction in Multicarrier Comunications by Means of the Discrete Cosine Transform Type-III Even.

María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Luengo

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Channel Estimation Using Type-III Even Discrete Cosine Transform in Multicarrier Communications.

Elena Domínguez Jiménez, David Luengo, Fernando Cruz-Roldán

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Channel Estimation Based on the Discrete Cosine Transform Type-III Even.

María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Adaptive Importance Sampling: The past, the present, and the future.

Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric

IEEE Signal Process. Mag., 2017

Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms.

Tom Trigano, Igor Shevtsov, David Luengo

Signal Process., 2017

Improving population Monte Carlo: Alternative weighting and resampling schemes.

Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo

Signal Process., 2017

Layered adaptive importance sampling.

Luca Martino, Victor Elvira, David Luengo, Jukka Corander

Stat. Comput., 2017

Physics-Aware Gaussian Processes for Earth Observation.

Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Anti-tempered layered adaptive importance sampling.

Luca Martino, Victor Elvira, David Luengo

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Compact framework for reproducible analysis of finite wordlength effects in linear digital networks.

David Luengo, David Oses, Fernando Cruz-Roldán

Proceedings of the 25th European Signal Processing Conference, 2017

A novel channel estimation scheme for multicarrier communications with the Type-I even discrete cosine transform.

María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal, Fernando Cruz-Roldán

Proceedings of the 25th European Signal Processing Conference, 2017

Population Monte Carlo schemes with reduced path degeneracy.

Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Heretical Multiple Importance Sampling.

Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo

IEEE Signal Process. Lett., 2016

DCT-based channel estimation for single- and multicarrier communications.

Fernando Cruz-Roldán, María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Luengo, Marc Moonen

Signal Process., 2016

Orthogonal parallel MCMC methods for sampling and optimization.

Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada

Digit. Signal Process., 2016

Sticky proposal densities for adaptive MCMC methods.

Luca Martino, Roberto Casarin, David Luengo

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Multiple importance sampling with overlapping sets of proposals.

Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Latent force models for earth observation time series prediction.

David Luengo, Manuel Campos-Taberner, Gustau Camps-Valls

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Adaptive population importance samplers: A general perspective.

Luca Martino, Victor Elvira, David Luengo, Francisco Louzada

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Parallel metropolis chains with cooperative adaptation.

Luca Martino, Victor Elvira, David Luengo, Francisco Louzada

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A hierarchical algorithm for causality discovery among atrial fibrillation electrograms.

David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Antonio Artés-Rodríguez

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms.

David Luengo, Victor Elvira

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling.

Luca Martino, Jesse Read, David Luengo

IEEE Trans. Signal Process., 2015

An Adaptive Population Importance Sampler: Learning From Uncertainty.

Luca Martino, Victor Elvira, David Luengo, Jukka Corander

IEEE Trans. Signal Process., 2015

Efficient Multiple Importance Sampling Estimators.

Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo

IEEE Signal Process. Lett., 2015

Scalable multi-output label prediction: From classifier chains to classifier trellises.

Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo

Pattern Recognit., 2015

Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation.

David Luengo, Sandra Monzón, Tom Trigano, Javier Vía, Antonio Artés-Rodríguez

Integr. Comput. Aided Eng., 2015

A fast universal self-tuned sampler within Gibbs sampling.

Luca Martino, H. Yang, David Luengo, Juho Kanniainen, Jukka Corander

Digit. Signal Process., 2015

Smelly parallel MCMC chains.

Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient linear combination of partial Monte Carlo estimators.

David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A gradient adaptive population importance sampler.

Víctor Elvira, Luca Martino, David Luengo, Jukka Corander

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Parallel interacting Markov adaptive importance sampling.

Luca Martino, Victor Elvira, David Luengo, Jukka Corander

Proceedings of the 23rd European Signal Processing Conference, 2015

Causality Analysis of Atrial Fibrillation Electrograms.

David Luengo, Gonzalo Rios-Muñoz, Víctor Elvira

Proceedings of the Computing in Cardiology, 2015

Bias correction for distributed Bayesian estimators.

David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

On sample generation and weight calculation in multiple importance sampling.

Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Efficient monte carlo methods for multi-dimensional learning with classifier chains.

Jesse Read, Luca Martino, David Luengo

Pattern Recognit., 2014

Orthogonal MCMC algorithms.

Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Independent doubly Adaptive Rejection Metropolis Sampling.

Luca Martino, Jesse Read, David Luengo

Proceedings of the IEEE International Conference on Acoustics, 2014

An adaptive population importance sampler.

Luca Martino, Victor Elvira, David Luengo, Jukka Corander

Proceedings of the IEEE International Conference on Acoustics, 2014

Monte Carlo limit cycle characterization.

David Luengo, David Oses, Luca Martino

Proceedings of the IEEE International Conference on Acoustics, 2014

Grouped sparsity algorithm for multichannel intracardiac ECG synchronization.

Thomas Trigano, V. Kolesnikov, David Luengo, Antonio Artés-Rodríguez

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Linear Latent Force Models Using Gaussian Processes.

Mauricio A. Álvarez, David Luengo, Neil D. Lawrence

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Efficient monte carlo optimization for multi-label classifier chains.

Jesse Read, Luca Martino, David Luengo

Proceedings of the IEEE International Conference on Acoustics, 2013

Cross-products LASSO.

David Luengo, Javier Vía, Sandra Monzón, Tom Trigano, Antonio Artés-Rodríguez

Proceedings of the IEEE International Conference on Acoustics, 2013

Fully adaptive Gaussian mixture Metropolis-Hastings algorithm.

David Luengo, Luca Martino

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Novel fast random search clustering algorithm for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs.

David Luengo, Sandra Monzón, Antonio Artés-Rodríguez

Neurocomputing, 2012

Sparse spectral analysis of atrial fibrillation electrograms.

Sandra Monzón, Tom Trigano, David Luengo, Antonio Artés-Rodríguez

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2011

Distributed target detection in centralized wireless sensor networks with communication constraints.

Jose Luis Barbosa, David Luengo

Proceedings of the 19th European Signal Processing Conference, 2011

2010

Efficient Multioutput Gaussian Processes through Variational Inducing Kernels.

Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009

Latent Force Models.

Mauricio A. Álvarez, David Luengo, Neil D. Lawrence

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2005

A general solution to blind inverse problems for sparse input signals.

David Luengo, Ignacio Santamaría, Luis Vielva

Neurocomputing, 2005

Asymptotically optimal maximum-likelihood estimation of a class of chaotic signals using the Viterbi algorithm.

David Luengo, Ignacio Santamaría, Luis Vielva

Proceedings of the 13th European Signal Processing Conference, 2005

2004

Multiple Composite Hypothesis Testing: A Competitive Approach.

David Luengo, Carlos Pantaleón, Ignacio Santamaría, Luis Vielva, Jesús Ibáñez

J. VLSI Signal Process., 2004

Application of 'Attack Trees' Technique to Copyright Protection Protocols Using Watermarking and Definition of a New Transactions Protocol SecDP (Secure Distribution Protocol).

Maria Victoria Higuero, Juanjo Unzilla, Eduardo Jacob, Purificación Sáiz, David Luengo

Proceedings of the Interactive Multimedia and Next Generation Networks: Second International Workshop on Multimedia Interactive Protocols and Systems, 2004

Universal piecewise linear least squares prediction.

David Luengo, Suleyman Serdar Kozat, Andrew C. Singer

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003

A fast blind SIMO channel identification algorithm for sparse sources.

David Luengo, Ignacio Santamaría, Jesús Ibáñez, Luis Vielva, Carlos Pantaleón

IEEE Signal Process. Lett., 2003

Bayesian estimation of chaotic signals generated by piecewise-linear maps.

Carlos Pantaleón, Luis Vielva, David Luengo, Ignacio Santamaría

Signal Process., 2003

Underdetermined blind separation of sparse sources with instantaneous and convolutive mixtures.

David Luengo, Ignacio Santamaría, Luis Vielva, Carlos Pantaleón

Proceedings of the NNSP 2003, 2003

2002

Estimation of a certain class of chaotic signals: An em-based approach.

Carlos Pantaleón, Luis Vielva, David Luengo, Ignacio Santamaría

Proceedings of the IEEE International Conference on Acoustics, 2002

Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems.

Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo

Proceedings of the Artificial Neural Networks, 2002

Bayesian estimation of discrete chaotic signals by MCMC.

David Luengo, Carlos Pantaleón, Ignacio Santamaría

Proceedings of the 11th European Signal Processing Conference, 2002

2001

Chaotic AR(1) model estimation.

Carlos Pantaleón, David Luengo, Ignacio Santamaría

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Optimal estimation of chaotic signals generated by piecewise-linear maps.

Carlos Pantaleón, David Luengo, Ignacio Santamaría

IEEE Signal Process. Lett., 2000

Bayesian estimation of a class of chaotic signals.

Carlos Pantaleón, David Luengo, Ignacio Santamaría

Proceedings of the IEEE International Conference on Acoustics, 2000

An efficient method for chaotic signal parameter estimation.

Carlos Pantaleón, David Luengo, Ignacio Santamaría

Proceedings of the 10th European Signal Processing Conference, 2000