An efficient method for chaotic signal parameter estimation. - Carlos Pantaleón; David Luengo; Ignacio Santamaría (EUSIPCO, 2000)

Bayesian estimation of a class of chaotic signals. - Carlos Pantaleón; David Luengo; Ignacio Santamaría (ICASSP, 2000)

Optimal estimation of chaotic signals generated by piecewise-linear maps. - Carlos Pantaleón; David Luengo; Ignacio Santamaría (IEEE Signal Process. Lett., 2000)

Chaotic AR(1) model estimation. - Carlos Pantaleón; David Luengo; Ignacio Santamaría (ICASSP, 2001)

Bayesian estimation of discrete chaotic signals by MCMC. - David Luengo; Carlos Pantaleón; Ignacio Santamaría (EUSIPCO, 2002)

Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. - Deniz Erdogmus; José Carlos Príncipe; Luis Vielva; David Luengo (ICANN, 2002)

Estimation of a certain class of chaotic signals: An em-based approach. - Carlos Pantaleón; Luis Vielva; David Luengo; Ignacio Santamaría (ICASSP, 2002)

Underdetermined blind separation of sparse sources with instantaneous and convolutive mixtures. - David Luengo; Ignacio Santamaría; Luis Vielva; Carlos Pantaleón (NNSP, 2003)

Bayesian estimation of chaotic signals generated by piecewise-linear maps. - Carlos Pantaleón; Luis Vielva; David Luengo; Ignacio Santamaría (Signal Process., 2003)

A fast blind SIMO channel identification algorithm for sparse sources. - David Luengo; Ignacio Santamaría; Jesús Ibáñez 002; Luis Vielva; Carlos Pantaleón (IEEE Signal Process. Lett., 2003)

Universal piecewise linear least squares prediction. - David Luengo; Suleyman Serdar Kozat; Andrew C. Singer (ISIT, 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 (MIPS, 2004)

Multiple Composite Hypothesis Testing: A Competitive Approach. - David Luengo; Carlos Pantaleón; Ignacio Santamaría; Luis Vielva; Jesús Ibáñez 002 (J. VLSI Signal Process., 2004)

Asymptotically optimal maximum-likelihood estimation of a class of chaotic signals using the Viterbi algorithm. - David Luengo; Ignacio Santamaría; Luis Vielva (EUSIPCO, 2005)

A general solution to blind inverse problems for sparse input signals. - David Luengo; Ignacio Santamaría; Luis Vielva (Neurocomputing, 2005)

Latent Force Models. - Mauricio A. Álvarez; David Luengo; Neil D. Lawrence (AISTATS, 2009)

Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. - Mauricio A. Álvarez; David Luengo; Michalis K. Titsias; Neil D. Lawrence (AISTATS, 2010)

Distributed target detection in centralized wireless sensor networks with communication constraints. - Jose Luis Barbosa; David Luengo (EUSIPCO, 2011)

Sparse spectral analysis of atrial fibrillation electrograms. - Sandra Monzón; Tom Trigano; David Luengo; Antonio Artés-Rodríguez (MLSP, 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)

Fully adaptive Gaussian mixture Metropolis-Hastings algorithm. - David Luengo; Luca Martino (ICASSP, 2013)

Cross-products LASSO. - David Luengo; Javier Vía; Sandra Monzón; Tom Trigano; Antonio Artés-Rodríguez (ICASSP, 2013)

Efficient monte carlo optimization for multi-label classifier chains. - Jesse Read; Luca Martino; David Luengo (ICASSP, 2013)

Linear Latent Force Models Using Gaussian Processes. - Mauricio A. Álvarez; David Luengo; Neil D. Lawrence (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Grouped sparsity algorithm for multichannel intracardiac ECG synchronization. - Thomas Trigano; V. Kolesnikov; David Luengo; Antonio Artés-Rodríguez (EUSIPCO, 2014)

Monte Carlo limit cycle characterization. - David Luengo; David Oses; Luca Martino (ICASSP, 2014)

An adaptive population importance sampler. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (ICASSP, 2014)

Independent doubly Adaptive Rejection Metropolis Sampling. - Luca Martino; Jesse Read; David Luengo (ICASSP, 2014)

Orthogonal MCMC algorithms. - Luca Martino; Victor Elvira; David Luengo; Antonio Artés-Rodríguez; Jukka Corander (SSP, 2014)

Efficient monte carlo methods for multi-dimensional learning with classifier chains. - Jesse Read; Luca Martino; David Luengo (Pattern Recognit., 2014)

On sample generation and weight calculation in multiple importance sampling. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (ACSSC, 2015)

Bias correction for distributed Bayesian estimators. - David Luengo; Luca Martino; Victor Elvira; Mónica F. Bugallo (CAMSAP, 2015)

Causality Analysis of Atrial Fibrillation Electrograms. - David Luengo; Gonzalo Rios-Muñoz; Víctor Elvira (CinC, 2015)

Parallel interacting Markov adaptive importance sampling. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (EUSIPCO, 2015)

A gradient adaptive population importance sampler. - Víctor Elvira; Luca Martino; David Luengo; Jukka Corander (ICASSP, 2015)

Efficient linear combination of partial Monte Carlo estimators. - David Luengo; Luca Martino; Víctor Elvira; Mónica F. Bugallo (ICASSP, 2015)

Smelly parallel MCMC chains. - Luca Martino; Víctor Elvira; David Luengo; Antonio Artés-Rodríguez; Jukka Corander (ICASSP, 2015)

A fast universal self-tuned sampler within Gibbs sampling. - Luca Martino; H. Yang; David Luengo; Juho Kanniainen; Jukka Corander (Digit. Signal Process., 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)

Scalable multi-output label prediction: From classifier chains to classifier trellises. - Jesse Read; Luca Martino; Pablo M. Olmos; David Luengo (Pattern Recognit., 2015)

Efficient Multiple Importance Sampling Estimators. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (IEEE Signal Process. Lett., 2015)

An Adaptive Population Importance Sampler: Learning From Uncertainty. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (IEEE Trans. Signal Process., 2015)

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. - Luca Martino; Jesse Read; David Luengo (IEEE Trans. Signal Process., 2015)

Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. - David Luengo; Victor Elvira (CinC, 2016)

A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. - David Luengo; Gonzalo Rios-Muñoz; Victor Elvira; Antonio Artés-Rodríguez (ICASSP, 2016)

Parallel metropolis chains with cooperative adaptation. - Luca Martino; Victor Elvira; David Luengo; Francisco Louzada 001 (ICASSP, 2016)

Adaptive population importance samplers: A general perspective. - Luca Martino; Victor Elvira; David Luengo; Francisco Louzada 001 (SAM, 2016)

Latent force models for earth observation time series prediction. - David Luengo; Manuel Campos-Taberner; Gustau Camps-Valls (MLSP, 2016)

Multiple importance sampling with overlapping sets of proposals. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (SSP, 2016)

Sticky proposal densities for adaptive MCMC methods. - Luca Martino; Roberto Casarin; David Luengo (SSP, 2016)

Orthogonal parallel MCMC methods for sampling and optimization. - Luca Martino; Víctor Elvira; David Luengo; Jukka Corander; Francisco Louzada 001 (Digit. Signal Process., 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)

Heretical Multiple Importance Sampling. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (IEEE Signal Process. Lett., 2016)

Population Monte Carlo schemes with reduced path degeneracy. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (CAMSAP, 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 (EUSIPCO, 2017)

Compact framework for reproducible analysis of finite wordlength effects in linear digital networks. - David Luengo; David Oses; Fernando Cruz-Roldán (EUSIPCO, 2017)

Anti-tempered layered adaptive importance sampling. - Luca Martino; Victor Elvira; David Luengo (DSP, 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 (SCIA (2), 2017)

Layered adaptive importance sampling. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (Stat. Comput., 2017)

Improving population Monte Carlo: Alternative weighting and resampling schemes. - Víctor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (Signal Process., 2017)

Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms. - Tom Trigano; Igor Shevtsov; David Luengo (Signal Process., 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)

Channel Estimation Based on the Discrete Cosine Transform Type-III Even. - María Elena Domínguez Jiménez; David Luengo; Gabriela Sansigre Vidal (EUSIPCO, 2018)

Channel Estimation Using Type-III Even Discrete Cosine Transform in Multicarrier Communications. - Elena Domínguez Jiménez; David Luengo; Fernando Cruz-Roldán (SSP, 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 (TSP, 2018)

Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals. - David Luengo; David Meltzer; Tom Trigano (TSP, 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)

Efficient linear fusion of partial estimators. - David Luengo; Luca Martino; Víctor Elvira; Mónica F. Bugallo (Digit. Signal Process., 2018)

Adaptive independent sticky MCMC algorithms. - Luca Martino; Roberto Casarin; Fabrizio Leisen; David Luengo (EURASIP J. Adv. Signal Process., 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)

Overcomplete Multi-scale Dictionaries for Efficient Representation of ECG Signals. - David Meltzer; David Luengo; Tom Trigano (EUROCAST (2), 2019)

A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling. - David Meltzer; David Luengo (ICASSP, 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 (TSP, 2019)

Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods. - David Meltzer; David Luengo (TSP, 2019)

Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels. - Luca Martino; David Luengo (Commun. Stat. Simul. Comput., 2019)

Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms. - David Luengo; Gonzalo Rios-Muñoz; Victor Elvira; Carlos Sánchez 005; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2019)

Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions. - David Luengo; Javier Vía; Tom Trigano (EUSIPCO, 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)

Fast proximal optimization for sparse reconstruction with dictionaries based on translated waveforms. - Tom Trigano; Shira Vaknin; David Luengo (Signal Process., 2020)

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)

An efficient clustering-based non-fiducial approach for ECG biometric recognition. - David Meltzer; David Luengo (EUSIPCO, 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)

Intracardiac ECG pulse localization using overlapping block sparse reconstruction. - Tom Trigano; David Luengo (Biomed. Signal Process. Control., 2023)

Efficient Clustering-Based electrocardiographic biometric identification. - David Meltzer; David Luengo (Expert Syst. Appl., 2023)

Adaptive Trend Filtering for ECG Denoising and Delineation. - Tom Trigano; Shlomi Talala; David Luengo (IEEE J. Biomed. Health Informatics, 2023)

Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems. - Mario Refoyo; David Luengo (xAI (3), 2024)

Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification. - Mario Refoyo; David Luengo (CoRR, 2025)

Jensen-Tsallis divergence for supervised classification under data imbalance. - Antonio Squicciarini; Tom Trigano; David Luengo (Mach. Learn., 2025)