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2020 – today
- 2024
[c52]Mario Refoyo, David Luengo
:
Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems. xAI (3) 2024: 3-17- 2023
- [j34]Tom Trigano, David Luengo:
Intracardiac ECG pulse localization using overlapping block sparse reconstruction. Biomed. Signal Process. Control. 79(Part): 103921 (2023) - [j33]David Meltzer, David Luengo:
Efficient Clustering-Based electrocardiographic biometric identification. Expert Syst. Appl. 219: 119609 (2023) - [j32]Tom Trigano, Shlomi Talala, David Luengo:
Adaptive Trend Filtering for ECG Denoising and Delineation. IEEE J. Biomed. Health Informatics 27(12): 5755-5766 (2023) - 2022
- [j31]Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls:
Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c51]David Meltzer, David Luengo:
An efficient clustering-based non-fiducial approach for ECG biometric recognition. EUSIPCO 2022: 623-627 - 2021
- [j30]María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal, Fernando Cruz-Roldán:
A Novel Scheme of Multicarrier Modulation With the Discrete Cosine Transform. IEEE Trans. Wirel. Commun. 20(12): 7992-8005 (2021) - [i6]Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls:
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions. CoRR abs/2104.08134 (2021) - [i5]David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä:
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR abs/2107.11820 (2021) - 2020
- [j29]David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä:
A survey of Monte Carlo methods for parameter estimation. EURASIP J. Adv. Signal Process. 2020(1): 25 (2020) - [j28]Tom Trigano, Shira Vaknin, David Luengo:
Fast proximal optimization for sparse reconstruction with dictionaries based on translated waveforms. Signal Process. 169: 107379 (2020) - [c50]David Luengo, Javier Vía, Tom Trigano:
Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions. EUSIPCO 2020: 2045-2049
2010 – 2019
- 2019
- [j27]Luca Martino, David Luengo:
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels. Commun. Stat. Simul. Comput. 48(6): 1798-1814 (2019) - [j26]David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Carlos Sánchez, Antonio Artés-Rodríguez:
Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms. IEEE J. Biomed. Health Informatics 23(1): 143-155 (2019) - [c49]David Meltzer, David Luengo, Tom Trigano:
Overcomplete Multi-scale Dictionaries for Efficient Representation of ECG Signals. EUROCAST (2) 2019: 331-338 - [c48]David Meltzer, David Luengo:
A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling. ICASSP 2019: 1085-1089 - [c47]David Meltzer, David Luengo:
Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods. TSP 2019: 552-556 - [c46]María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Oses, David Luengo:
On the Feasibility of SISO /MIMO-PLC based on the Discrete Cosine Transform Type-III even. TSP 2019: 566-570 - [e1]David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy V. Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly G. Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva:
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. CEUR Workshop Proceedings 2353, CEUR-WS.org 2019 [contents] - 2018
- [j25]Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro:
Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. 68: 69-82 (2018) - [j24]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear fusion of partial estimators. Digit. Signal Process. 78: 265-283 (2018) - [j23]Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo:
Adaptive independent sticky MCMC algorithms. EURASIP J. Adv. Signal Process. 2018: 5 (2018) - [j22]Francisco Hernando-Gallego, David Luengo, Antonio Artés-Rodríguez:
Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution. IEEE J. Biomed. Health Informatics 22(5): 1385-1394 (2018) - [c45]María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal:
Channel Estimation Based on the Discrete Cosine Transform Type-III Even. EUSIPCO 2018: 1297-1301 - [c44]Elena Domínguez Jiménez, David Luengo, Fernando Cruz-Roldán:
Channel Estimation Using Type-III Even Discrete Cosine Transform in Multicarrier Communications. SSP 2018: 498-502 - [c43]María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Luengo:
Signal Reconstruction in Multicarrier Comunications by Means of the Discrete Cosine Transform Type-III Even. TSP 2018: 1-4 - [c42]David Luengo, David Meltzer, Tom Trigano:
Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals. TSP 2018: 1-5 - 2017
- [j21]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Layered adaptive importance sampling. Stat. Comput. 27(3): 599-623 (2017) - [j20]Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. 131: 77-91 (2017) - [j19]Tom Trigano, Igor Shevtsov, David Luengo:
Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms. Signal Process. 139: 131-135 (2017) - [j18]Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric:
Adaptive Importance Sampling: The past, the present, and the future. IEEE Signal Process. Mag. 34(4): 60-79 (2017) - [c41]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP 2017: 1-5 - [c40]David Luengo, David Oses, Fernando Cruz-Roldán:
Compact framework for reproducible analysis of finite wordlength effects in linear digital networks. EUSIPCO 2017: 1362-1366 - [c39]María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal, Fernando Cruz-Roldán:
A novel channel estimation scheme for multicarrier communications with the Type-I even discrete cosine transform. EUSIPCO 2017: 2239-2243 - [c38]Luca Martino, Victor Elvira, David Luengo:
Anti-tempered layered adaptive importance sampling. DSP 2017: 1-5 - [c37]Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo:
Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) 2017: 205-217 - 2016
- [j17]Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada:
Orthogonal parallel MCMC methods for sampling and optimization. Digit. Signal Process. 58: 64-84 (2016) - [j16]Fernando Cruz-Roldán, María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Luengo, Marc Moonen:
DCT-based channel estimation for single- and multicarrier communications. Signal Process. 128: 332-339 (2016) - [j15]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. 23(10): 1474-1478 (2016) - [c36]David Luengo, Victor Elvira:
Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. CinC 2016 - [c35]David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Antonio Artés-Rodríguez:
A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. ICASSP 2016: 774-778 - [c34]Luca Martino, Victor Elvira, David Luengo, Francisco Louzada:
Parallel metropolis chains with cooperative adaptation. ICASSP 2016: 3974-3978 - [c33]Luca Martino, Victor Elvira, David Luengo, Francisco Louzada:
Adaptive population importance samplers: A general perspective. SAM 2016: 1-5 - [c32]David Luengo, Manuel Campos-Taberner, Gustau Camps-Valls:
Latent force models for earth observation time series prediction. MLSP 2016: 1-6 - [c31]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Multiple importance sampling with overlapping sets of proposals. SSP 2016: 1-5 - [c30]Luca Martino, Roberto Casarin, David Luengo:
Sticky proposal densities for adaptive MCMC methods. SSP 2016: 1-5 - 2015
- [j14]Luca Martino, H. Yang, David Luengo, Juho Kanniainen, Jukka Corander:
A fast universal self-tuned sampler within Gibbs sampling. Digit. Signal Process. 47: 68-83 (2015) - [j13]David Luengo, Sandra Monzón, Tom Trigano, Javier Vía, Antonio Artés-Rodríguez:
Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation. Integr. Comput. Aided Eng. 22(1): 71-85 (2015) - [j12]Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo:
Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. 48(6): 2096-2109 (2015) - [j11]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. 22(10): 1757-1761 (2015) - [j10]Luca Martino, Jesse Read, David Luengo:
Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. IEEE Trans. Signal Process. 63(12): 3123-3138 (2015) - [j9]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Trans. Signal Process. 63(16): 4422-4437 (2015) - [c29]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
On sample generation and weight calculation in multiple importance sampling. ACSSC 2015: 1709-1713 - [c28]David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo:
Bias correction for distributed Bayesian estimators. CAMSAP 2015: 253-256 - [c27]David Luengo, Gonzalo Rios-Muñoz, Víctor Elvira:
Causality Analysis of Atrial Fibrillation Electrograms. CinC 2015: 585-588 - [c26]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Parallel interacting Markov adaptive importance sampling. EUSIPCO 2015: 499-503 - [c25]Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Smelly parallel MCMC chains. ICASSP 2015: 4070-4074 - [c24]Víctor Elvira, Luca Martino, David Luengo, Jukka Corander:
A gradient adaptive population importance sampler. ICASSP 2015: 4075-4079 - [c23]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear combination of partial Monte Carlo estimators. ICASSP 2015: 4100-4104 - [i4]Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo:
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR abs/1501.04870 (2015) - [i3]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Layered Adaptive Importance Sampling. CoRR abs/1505.04732 (2015) - 2014
- [j8]Jesse Read, Luca Martino, David Luengo:
Efficient monte carlo methods for multi-dimensional learning with classifier chains. Pattern Recognit. 47(3): 1535-1546 (2014) - [c22]Thomas Trigano, V. Kolesnikov, David Luengo, Antonio Artés-Rodríguez:
Grouped sparsity algorithm for multichannel intracardiac ECG synchronization. EUSIPCO 2014: 1537-1541 - [c21]Luca Martino, Jesse Read, David Luengo:
Independent doubly Adaptive Rejection Metropolis Sampling. ICASSP 2014: 7998-8002 - [c20]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
An adaptive population importance sampler. ICASSP 2014: 8038-8042 - [c19]David Luengo, David Oses, Luca Martino:
Monte Carlo limit cycle characterization. ICASSP 2014: 8043-8047 - [c18]Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Orthogonal MCMC algorithms. SSP 2014: 364-367 - 2013
- [j7]Mauricio A. Álvarez, David Luengo, Neil D. Lawrence:
Linear Latent Force Models Using Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2693-2705 (2013) - [c17]Jesse Read, Luca Martino, David Luengo:
Efficient monte carlo optimization for multi-label classifier chains. ICASSP 2013: 3457-3461 - [c16]David Luengo, Javier Vía, Sandra Monzón, Tom Trigano, Antonio Artés-Rodríguez:
Cross-products LASSO. ICASSP 2013: 6118-6122 - [c15]David Luengo, Luca Martino:
Fully adaptive Gaussian mixture Metropolis-Hastings algorithm. ICASSP 2013: 6148-6152 - 2012
- [j6]David Luengo, Sandra Monzón, Antonio Artés-Rodríguez:
Novel fast random search clustering algorithm for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs. Neurocomputing 87: 62-78 (2012) - [c14]Sandra Monzón, Tom Trigano, David Luengo, Antonio Artés-Rodríguez:
Sparse spectral analysis of atrial fibrillation electrograms. MLSP 2012: 1-6 - [i2]Jesse Read, Luca Martino, David Luengo:
Efficient Monte Carlo Optimization for Multi-label Classifier Chains. CoRR abs/1211.2190 (2012) - 2011
- [c13]Jose Luis Barbosa, David Luengo:
Distributed target detection in centralized wireless sensor networks with communication constraints. EUSIPCO 2011: 412-416 - [i1]Mauricio A. Álvarez, David Luengo, Neil D. Lawrence:
Linear Latent Force Models using Gaussian Processes. CoRR abs/1107.2699 (2011) - 2010
- [c12]Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence:
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. AISTATS 2010: 25-32
2000 – 2009
- 2009
- [c11]Mauricio A. Álvarez, David Luengo, Neil D. Lawrence:
Latent Force Models. AISTATS 2009: 9-16 - 2005
- [j5]David Luengo, Ignacio Santamaría, Luis Vielva:
A general solution to blind inverse problems for sparse input signals. Neurocomputing 69(1-3): 198-215 (2005) - [c10]David Luengo, Ignacio Santamaría, Luis Vielva:
Asymptotically optimal maximum-likelihood estimation of a class of chaotic signals using the Viterbi algorithm. EUSIPCO 2005: 1-4 - 2004
- [j4]David Luengo, Carlos Pantaleón, Ignacio Santamaría, Luis Vielva, Jesús Ibáñez:
Multiple Composite Hypothesis Testing: A Competitive Approach. J. VLSI Signal Process. 37(2-3): 319-331 (2004) - [c9]David Luengo, Suleyman Serdar Kozat, Andrew C. Singer:
Universal piecewise linear least squares prediction. ISIT 2004: 198 - [c8]Maria Victoria Higuero, Juanjo Unzilla, Eduardo Jacob, Purificación Sáiz, David Luengo:
Application of 'Attack Trees' Technique to Copyright Protection Protocols Using Watermarking and Definition of a New Transactions Protocol SecDP (Secure Distribution Protocol). MIPS 2004: 264-275 - 2003
- [j3]Carlos Pantaleón, Luis Vielva, David Luengo, Ignacio Santamaría:
Bayesian estimation of chaotic signals generated by piecewise-linear maps. Signal Process. 83(3): 659-664 (2003) - [j2]David Luengo, Ignacio Santamaría, Jesús Ibáñez, Luis Vielva, Carlos Pantaleón:
A fast blind SIMO channel identification algorithm for sparse sources. IEEE Signal Process. Lett. 10(5): 148-151 (2003) - [c7]David Luengo, Ignacio Santamaría, Luis Vielva, Carlos Pantaleón:
Underdetermined blind separation of sparse sources with instantaneous and convolutive mixtures. NNSP 2003: 279-288 - 2002
- [c6]David Luengo, Carlos Pantaleón, Ignacio Santamaría:
Bayesian estimation of discrete chaotic signals by MCMC. EUSIPCO 2002: 1-4 - [c5]Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo:
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. ICANN 2002: 456-461 - [c4]Carlos Pantaleón, Luis Vielva, David Luengo, Ignacio Santamaría:
Estimation of a certain class of chaotic signals: An em-based approach. ICASSP 2002: 1129-1132 - 2001
- [c3]Carlos Pantaleón, David Luengo, Ignacio Santamaría:
Chaotic AR(1) model estimation. ICASSP 2001: 3477-3480 - 2000
- [j1]Carlos Pantaleón, David Luengo, Ignacio Santamaría:
Optimal estimation of chaotic signals generated by piecewise-linear maps. IEEE Signal Process. Lett. 7(8): 235-237 (2000) - [c2]Carlos Pantaleón, David Luengo, Ignacio Santamaría:
An efficient method for chaotic signal parameter estimation. EUSIPCO 2000: 1-4 - [c1]Carlos Pantaleón, David Luengo, Ignacio Santamaría:
Bayesian estimation of a class of chaotic signals. ICASSP 2000: 193-196
Coauthor Index
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