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ORCIDAntonio Artés-Rodríguez
Antonio Artés
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- affiliation: Universidad Carlos III of Madrid, Leganés, Spain
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2020 – today
- 2023
[j54]Aurora Cobo Aguilera
, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing transformers with deep probabilistic layers. Neural Networks 161: 565-574 (2023)- [j53]Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Deep autoregressive models with spectral attention. Pattern Recognit. 133: 109014 (2023) - [j52]Lorena Romero-Medrano, Antonio Artés-Rodríguez:
Multi-Source Change-Point Detection over Local Observation Models. Pattern Recognit. 134: 109116 (2023) - [j51]Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
Unsupervised learning of global factors in deep generative models. Pattern Recognit. 134: 109130 (2023) - [i18]María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. CoRR abs/2301.10156 (2023) - 2022
- [j50]Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez:
Medical Data Wrangling With Sequential Variational Autoencoders. IEEE J. Biomed. Health Informatics 26(6): 2737-2745 (2022) - [j49]Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez:
Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection. J. Signal Process. Syst. 94(2): 215-227 (2022) - [i17]Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez:
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. CoRR abs/2201.06968 (2022) - [i16]Fernando Moreno-Pino, María Martínez-García, Pablo M. Olmos, Antonio Artés-Rodríguez:
Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data. CoRR abs/2211.10371 (2022) - 2021
- [j48]Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Change-point detection in hierarchical circadian models. Pattern Recognit. 113: 107820 (2021) - [c68]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Modular Gaussian Processes for Transfer Learning. NeurIPS 2021: 24730-24740 - [i15]Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez:
Medical data wrangling with sequential variational autoencoders. CoRR abs/2103.07206 (2021) - [i14]Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Deep Autoregressive Models with Spectral Attention. CoRR abs/2107.05984 (2021) - [i13]Aurora Cobo Aguilera, Pablo Martinez-Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing Transformers With Deep Probabilistic Layers. CoRR abs/2108.10764 (2021) - [i12]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Modular Gaussian Processes for Transfer Learning. CoRR abs/2110.13515 (2021) - 2020
- [j47]Danae Carreras-García, David Delgado-Gómez, Enrique Baca-García, Antonio Artés-Rodríguez:
A Probabilistic Patient Scheduling Model with Time Variable Slots. Comput. Math. Methods Medicine 2020: 9727096:1-9727096:10 (2020) - [c67]Gonzalo Rios-Muñoz, Fernando Moreno-Pino, Nina Soto, Pablo M. Olmos, Antonio Artés-Rodríguez, Francisco Fernandez-Aviles, Angel Arenal:
Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms. CinC 2020: 1-4 - [c66]Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Continual Learning for Infinite Hierarchical Change-Point Detection. ICASSP 2020: 3582-3586 - [c65]Pablo Bonilla-Escribano, David Ramírez, Antonio Artés-Rodríguez:
Modeling Phone Call Durations via Switching Poisson Processes with Applications in Mental Health. MLSP 2020: 1-6 - [c64]Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez:
Multinomial Sampling for Hierarchical Change-Point Detection. MLSP 2020: 1-6 - [i11]Aurora Cobo Aguilera, Antonio Artés-Rodríguez, Fernando Pérez-Cruz, Pablo Martinez-Olmos:
Robust Sampling in Deep Learning. CoRR abs/2006.02734 (2020) - [i10]Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez:
Multinomial Sampling for Hierarchical Change-Point Detection. CoRR abs/2007.12420 (2020) - [i9]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Recyclable Gaussian Processes. CoRR abs/2010.02554 (2020) - [i8]Pablo Moreno-Muñoz, Lorena Romero-Medrano, Ángela Moreno, Jesús Herrera-López, Enrique Baca-García, Antonio Artés-Rodríguez:
Passive detection of behavioral shifts for suicide attempt prevention. CoRR abs/2011.09848 (2020) - [i7]Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
Unsupervised Learning of Global Factors in Deep Generative Models. CoRR abs/2012.08234 (2020)
2010 – 2019
- 2019
- [j46]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) - [j45]Pablo Bonilla-Escribano, David Ramírez, Alba Sedano-Capdevila, Juan José Campaña-Montes, Enrique Baca-García, Philippe Courtet, Antonio Artés-Rodríguez:
Assessment of e-Social Activity in Psychiatric Patients. IEEE J. Biomed. Health Informatics 23(6): 2247-2256 (2019) - [j44]Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez:
Deep Sequential Models for Suicidal Ideation From Multiple Source Data. IEEE J. Biomed. Health Informatics 23(6): 2286-2293 (2019) - [i6]Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Continual Learning for Infinite Hierarchical Change-Point Detection. CoRR abs/1910.10087 (2019) - [i5]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Continual Multi-task Gaussian Processes. CoRR abs/1911.00002 (2019) - [i4]Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez:
Deep Sequential Models for Suicidal Ideation from Multiple Source Data. CoRR abs/1911.03522 (2019) - 2018
- [j43]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) - [c63]Gonzalo Rios-Muñoz, Antonio Artés-Rodríguez, Joaquín Míguez:
Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation. CinC 2018: 1-4 - [c62]Gonzalo Rios-Muñoz, Sara Rocher, Antonio Artés-Rodríguez, Angel Arenal, Javier Saiz, Carlos Sánchez:
Patient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atrium. CinC 2018: 1-4 - [c61]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Heterogeneous Multi-output Gaussian Process Prediction. NeurIPS 2018: 6712-6721 - [c60]Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric:
A Comparison Of Clipping Strategies For Importance Sampling. SSP 2018: 558-562 - [i3]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Heterogeneous Multi-output Gaussian Process Prediction. CoRR abs/1805.07633 (2018) - [i2]Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Change-Point Detection on Hierarchical Circadian Models. CoRR abs/1809.04197 (2018) - 2017
- [c59]Alfredo Nazábal, Antonio Artés-Rodríguez:
Active Sensing in Human Activity Recognition. IWANN (1) 2017: 157-166 - 2016
- [j42]Alfredo Nazábal, Pablo Garcia-Moreno, Antonio Artés-Rodríguez, Zoubin Ghahramani:
Human Activity Recognition by Combining a Small Number of Classifiers. IEEE J. Biomed. Health Informatics 20(5): 1342-1351 (2016) - [c58]David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Antonio Artés-Rodríguez:
A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. ICASSP 2016: 774-778 - 2015
- [j41]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) - [j40]Pablo G. Moreno, Antonio Artés-Rodríguez, Yee Whye Teh, Fernando Pérez-Cruz:
Bayesian nonparametric crowdsourcing. J. Mach. Learn. Res. 16: 1607-1627 (2015) - [c57]Alfredo Nazábal, Antonio Artés-Rodríguez:
Discriminative spectral learning of hidden markov models for human activity recognition. ICASSP 2015: 1966-1970 - [c56]Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Smelly parallel MCMC chains. ICASSP 2015: 4070-4074 - [i1]Francisco Hernando-Gallego, Antonio Artés-Rodríguez:
Individual performance calibration using physiological stress signals. CoRR abs/1507.03482 (2015) - 2014
- [j39]Jair Montoya-Martínez, Antonio Artés-Rodríguez, Massimiliano Pontil, Lars Kai Hansen:
A regularized matrix factorization approach to induce structured sparse-low-rank solutions in the EEG inverse problem. EURASIP J. Adv. Signal Process. 2014: 97 (2014) - [j38]Hyejung Kim, Sunyoung Kim, Nick Van Helleputte, Antonio Artés, Mario Konijnenburg, Jos Huisken, Chris Van Hoof, Refet Firat Yazicioglu:
A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications. IEEE Trans. Biomed. Circuits Syst. 8(2): 257-267 (2014) - [j37]Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Michael G. Madden, Antonio Artés-Rodríguez:
An Automated Screening System for Tuberculosis. IEEE J. Biomed. Health Informatics 18(3): 855-862 (2014) - [c55]Jair Montoya-Martínez, Antonio Artés-Rodríguez, Massimiliano Pontil:
Structured sparse-low rank matrix factorization for the EEG inverse problem. CIP 2014: 1-6 - [c54]Thomas Trigano, V. Kolesnikov, David Luengo, Antonio Artés-Rodríguez:
Grouped sparsity algorithm for multichannel intracardiac ECG synchronization. EUSIPCO 2014: 1537-1541 - [c53]Victor Elvira, Alfredo Nazábal-Renteria, Antonio Artés-Rodríguez:
A novel feature extraction technique for human activity recognition. SSP 2014: 177-180 - [c52]Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Orthogonal MCMC algorithms. SSP 2014: 364-367 - 2013
- [j36]Manu Perumkunnil Komalan, José Ignacio Gómez Pérez, Christian Tenllado, José Miguel Montañana, Antonio Artés, José Francisco Tirado Fernández, Francky Catthoor:
Design exploration of a NVM based hybrid instruction memory organization for embedded platforms. Des. Autom. Embed. Syst. 17(3-4): 459-483 (2013) - [j35]Antonio Artés, José L. Ayala, Jos Huisken, Francky Catthoor:
Survey of Low-Energy Techniques for Instruction Memory Organisations in Embedded Systems. J. Signal Process. Syst. 70(1): 1-19 (2013) - [j34]Antonio Artés, Robert Fasthuber, José Luis Ayala, Praveen Raghavan, Francky Catthoor:
Design Space Exploration of Distributed Loop Buffer Architectures with Incompatible Loop-Nest Organisations in Embedded Systems. J. Signal Process. Syst. 72(1): 69-85 (2013) - [c51]David Luengo, Javier Vía, Sandra Monzón, Tom Trigano, Antonio Artés-Rodríguez:
Cross-products LASSO. ICASSP 2013: 6118-6122 - [c50]Antonio Artés, José Luis Ayala, Robert Fasthuber, Praveen Raghavan, Francky Catthoor:
Energy impact in the design space exploration of loop buffer schemes in embedded systems. VLSI-SoC 2013: 216-221 - 2012
- [j33]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) - [j32]José M. Leiva-Murillo, Antonio Artés-Rodríguez:
Algorithms for maximum-likelihood bandwidth selection in kernel density estimators. Pattern Recognit. Lett. 33(13): 1717-1724 (2012) - [j31]Antonio Artés, José L. Ayala, Francky Catthoor:
Power Impact of Loop Buffer Schemes for Biomedical Wireless Sensor Nodes. Sensors 12(11): 15088-15118 (2012) - [j30]José M. Leiva-Murillo, Antonio Artés-Rodríguez:
Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1180-1189 (2012) - [c49]Blanca Florentino-Liaño, Niamh O'Mahony, Antonio Artés-Rodríguez:
Hierarchical Dynamic Model for Human Daily Activity Recognition. BIOSIGNALS 2012: 61-68 - [c48]Blanca Florentino-Liaño, Niamh O'Mahony, Antonio Artés-Rodríguez:
Human activity recognition using inertial sensors with invariance to sensor orientation. CIP 2012: 1-6 - [c47]Pablo Garcia-Moreno, Antonio Artés-Rodríguez, Lars Kai Hansen:
A Hold-out method to correct PCA variance inflation. CIP 2012: 1-6 - [c46]Jair Montoya-Martínez, Antonio Artés-Rodríguez, Lars Kai Hansen, Massimiliano Pontil:
Structured sparsity regularization approach to the EEG inverse problem. CIP 2012: 1-6 - [c45]Antonio Artés, José L. Ayala, Francky Catthoor:
IMOSIM: Exploration tool for Instruction Memory Organisations based on accurate cycle-level energy modelling. ICECS 2012: 893-896 - [c44]Blanca Florentino-Liaño, Niamh O'Mahony, Antonio Artés-Rodríguez:
Long term human activity recognition with automatic orientation estimation. MLSP 2012: 1-6 - [c43]Sandra Monzón, Tom Trigano, David Luengo, Antonio Artés-Rodríguez:
Sparse spectral analysis of atrial fibrillation electrograms. MLSP 2012: 1-6 - 2011
- [j29]David Delgado-Gómez, Hilario Blasco-Fontecilla, AnaLucia A. Alegria, Teresa Legido-Gil, Antonio Artés-Rodríguez, Enrique Baca-García:
Improving the accuracy of suicide attempter classification. Artif. Intell. Medicine 52(3): 165-168 (2011) - [j28]David Delgado-Gómez, David Aguado, Jorge Lopez-Castroman, Carlos Santa Cruz, Antonio Artés-Rodríguez:
Improving sale performance prediction using support vector machines. Expert Syst. Appl. 38(5): 5129-5132 (2011) - [j27]Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Extended Input Space Support Vector Machine. IEEE Trans. Neural Networks 22(1): 158-163 (2011) - [c42]Jorge Plata-Chaves, Marcelino Lázaro, Antonio Artés-Rodríguez:
Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations. FUSION 2011: 1-6 - [c41]Shan Gong, Antonio Artés-Rodríguez:
Fast Background Elimination in Fluorescence Microbiology Images: Comparison of Four Algorithms. EANN/AIAI (2) 2011: 285-290 - [c40]Antonio Artés, José Luis Ayala, Ashoka Visweswara Sathanur, Jos Huisken, Francky Catthoor:
Run-time self-tuning banked loop buffer architecture for power optimization of dynamic workload applications. VLSI-SoC 2011: 136-141 - 2010
- [j26]David Delgado-Gómez, Federico Sukno, David Aguado, Carlos Santa Cruz, Antonio Artés-Rodríguez:
Individual identification using personality traits. J. Netw. Comput. Appl. 33(3): 293-299 (2010) - [c39]Pablo Viñuelas-Peris, Antonio Artés-Rodríguez:
Bayesian joint recovery of correlated signals in Distributed Compressed Sensing. CIP 2010: 382-387 - [c38]Antonio Artés, Filipa Duarte, Maryam Ashouei, Jos Huisken, José Luis Ayala, David Atienza, Francky Catthoor:
Energy Efficiency Using Loop Buffer based Instruction Memory Organizations. IWIA 2010: 59-67
2000 – 2009
- 2009
- [j25]Marcelino Lázaro, Matilde Sánchez Fernández, Antonio Artés-Rodríguez:
Optimal Sensor Selection in Binary Heterogeneous Sensor Networks. IEEE Trans. Signal Process. 57(4): 1577-1587 (2009) - 2008
- [j24]José M. Leiva-Murillo, Sancho Salcedo-Sanz, Ascensión Gallardo-Antolín, Antonio Artés-Rodríguez:
A simulated annealing approach to speaker segmentation in audio databases. Eng. Appl. Artif. Intell. 21(4): 499-508 (2008) - [c37]José-Emilio Vila-Forcén, Antonio Artés-Rodríguez, Javier Garcia-Frías:
Compressive sensing detection of stochastic signals. CISS 2008: 956-960 - [c36]Ricardo Santiago-Mozos, Ramón Fernández-Lorenzana, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
On the uncertainty in sequential hypothesis testing. ISBI 2008: 1223-1226 - 2007
- [j23]José M. Leiva-Murillo, Antonio Artés-Rodríguez:
Maximization of Mutual Information for Supervised Linear Feature Extraction. IEEE Trans. Neural Networks 18(5): 1433-1441 (2007) - [j22]Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, N. Víctor Jiménez:
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. IEEE Trans. Syst. Man Cybern. Part C 37(3): 359-372 (2007) - [c35]Juan C. Alonso-Bayal, Ricardo Santiago-Mozos, José M. Leiva-Murillo, Marcelino Lázaro, Antonio Artés-Rodríguez:
Real-time tracking and identification on an intelligent IR-based surveillance system. AVSS 2007: 277-282 - [c34]Joaquín Míguez, Antonio Artés-Rodríguez:
Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks. EUSIPCO 2007: 896-900 - [c33]Marcelino Lázaro, Antonio Artés-Rodríguez:
Optimal Sensor Selection in Heterogeneous Sensor Networks. ICASSP (2) 2007: 1017-1020 - [c32]Marcelino Lázaro, José M. Leiva-Murillo, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. IJCNN 2007: 1464-1469 - [c31]Mahesh Vemula, Joaquín Míguez, Antonio Artés-Rodríguez:
A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network. WPNC 2007: 49-54 - 2006
- [j21]Joaquín Míguez, Antonio Artés-Rodríguez:
Particle Filtering Algorithms for Tracking a Maneuvering Target Using a Network of Wireless Dynamic Sensors. EURASIP J. Adv. Signal Process. 2006 (2006) - [c30]Joaquín Míguez, Antonio Artés-Rodríguez:
A particle filter for beacon-free node location and target tracking in sensor networks. EUSIPCO 2006: 1-4 - [c29]José M. Leiva-Murillo, Antonio Artés-Rodríguez:
A Fixed-Point Algorithm for Finding the Optimal Covariance Matrix in Kernel Density Modeling. ICASSP (5) 2006: 705-708 - [c28]Ricardo Santiago-Mozos, Antonio Artés-Rodríguez:
Distributed Hypothesis Testing Using Local Learning Based Classifiers. ICASSP (4) 2006: 861-864 - [c27]Joaquín Míguez, Antonio Artés-Rodríguez:
A Monte Carlo Method for Joint Node Location and Maneuvering Target Tracking in a Sensor Network. ICASSP (4) 2006: 989-992 - 2005
- [j20]Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. Neurocomputing 69(1-3): 42-61 (2005) - [j19]Fernando Pérez-Cruz, Carlos Bousoño-Calzón, Antonio Artés-Rodríguez:
Convergence of the IRWLS Procedure to the Support Vector Machine Solution. Neural Comput. 17(1): 7-18 (2005) - [j18]Marcelino Lázaro, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Learning a function and its derivative forcing the support vector expansion. IEEE Signal Process. Lett. 12(3): 194-197 (2005) - [c26]Antonio Artés-Rodríguez, Marcelino Lázaro, Matilde Sánchez Fernández:
Decentralized detection in dense sensor networks with censored transmissions. ICASSP (4) 2005: 817-820 - 2004
- [j17]Manel Martínez-Ramón, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
Adaptively combined LMS and logistic equalizers. IEEE Signal Process. Lett. 11(10): 777-779 (2004) - [j16]Antonio Artés-Rodríguez, José Luis Fernández-Villacañas Martín:
Special Issue on Learning: Advances in Multimedia Communications, Information Processing, and Education. IEEE Trans. Syst. Man Cybern. Part C 34(4): 381-382 (2004) - [j15]José Luis Rojo-Álvarez, Luis Martínez-Ramón, Mario de Prado-Cumplido, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Support vector method for robust ARMA system identification. IEEE Trans. Signal Process. 52(1): 155-164 (2004) - [j14]Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. J. VLSI Signal Process. 37(2-3): 223-235 (2004) - [c25]Fernando Pérez-Cruz, Marcelino Lázaro, Antonio Artés-Rodríguez:
Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function. EUSIPCO 2004: 597-600 - [c24]Antonio Artés-Rodríguez, Ricardo Torres-Lopez, Lang Tong:
Distributed detection by multiple tests in sensor networks using range information. EUSIPCO 2004: 797-800 - [c23]José M. Leiva-Murillo, Antonio Artés-Rodríguez:
A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction. ICA 2004: 271-278 - [c22]Antonio Artés-Rodríguez:
Decentralized detection in sensor networks using range information. ICASSP (2) 2004: 265-268 - 2003
- [j13]José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Ana García Armada, Antonio Artés-Rodríguez:
A robust support vector algorithm for nonparametric spectral analysis. IEEE Signal Process. Lett. 10(11): 320-323 (2003) - [j12]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Empirical risk minimization for support vector classifiers. IEEE Trans. Neural Networks 14(2): 296-303 (2003) - [c21]Ricardo Santiago-Mozos, José M. Leiva-Murillo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images. AVSS 2003: 122- - [c20]Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Support vector machine for the simultaneous approximation of a function and its derivative. NNSP 2003: 189-198 - 2002
- [c19]Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Adaptive SVC for nonlinear channel equalization. EUSIPCO 2002: 1-4 - [c18]Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Puncturing Multi-class Support Vector Machines. ICANN 2002: 751-756 - [c17]Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Multi-dimensional Function Approximation and Regression Estimation. ICANN 2002: 757-762 - [c16]José Luis Rojo-Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Support Vector Robust Algorithms for Non-parametric Spectral Analysis. ICANN 2002: 1100-1105 - [c15]José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez:
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. ICANN 2002: 1106-1111 - 2001
- [j11]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
SVC-based equalizer for burst TDMA transmissions. Signal Process. 81(8): 1681-1693 (2001) - [j10]Francisco Javier González-Serrano, Juan José Murillo-Fuentes, Antonio Artés-Rodríguez:
GCMAC-based predistortion for digital modulations. IEEE Trans. Commun. 49(9): 1679-1689 (2001) - [j9]Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. IEEE Trans. Neural Networks 12(5): 1047-1059 (2001) - [c14]Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
A new optimizing procedure for ν-support vector regressor. ICASSP 2001: 1265-1268 - 2000
- [j8]María Ángeles Losada, Gulay Tohumoglu, David Fraile, Antonio Artés:
Multi-iteration wavelet zero-tree coding for image compression. Signal Process. 80(7): 1281-1287 (2000) - [c13]Manel Martínez-Ramón, José-Luis Sancho-Gómez, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise. EUSIPCO 2000: 1-4 - [c12]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
An IRWLS procedure for SVR. EUSIPCO 2000: 1-4 - [c11]Ignacio Santamaría, Antonio Artés, Rafael González Ayestarán, Carlos Pantaleón:
A data-adaptive regularization method for line spectrum estimation. EUSIPCO 2000: 1-4 - [c10]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
Support vector classifier with hyperbolic tangent penalty function. ICASSP 2000: 3458-3461 - [c9]Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Ángel Navia-Vázquez, Antonio Artés-Rodríguez:
Fast Training of Support Vector Classifiers. NIPS 2000: 734-740
1990 – 1999
- 1999
- [j7]Ignacio Santamaría, Carlos Pantaleón, Jesús Ibáñez, Antonio Artés-Rodríguez:
Deconvolution of seismic data using adaptive Gaussian mixtures. IEEE Trans. Geosci. Remote. Sens. 37(2): 855-859 (1999) - 1998
- [j6]Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Fourier analysis of the generalized CMAC neural network. Neural Networks 11(3): 391-396 (1998) - [j5]Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Generalizing CMAC architecture and training. IEEE Trans. Neural Networks 9(6): 1509-1514 (1998) - [c8]Francisco Javier González-Serrano, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Reduced-complexity decision-feedback equalizer for nonlinear channels. EUSIPCO 1998: 1-4 - [c7]Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
GGMAC-based equalizer for nonlinear channels. ICASSP 1998: 1165-1168 - 1996
- [j4]Ignacio Santamaría-Caballero, Carlos J. Pantaleón-Prieto, Antonio Artés-Rodríguez:
Sparse deconvolution using adaptive mixed-Gaussian models. Signal Process. 54(2): 161-172 (1996) - [j3]Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Wiener extrapolation of sequences and the expectation-maximization algorithm. IEEE Signal Process. Lett. 3(9): 260-262 (1996) - [c6]Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez, Jesús Cid-Sueiro, Manel Martínez-Ramón:
Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning. EUSIPCO 1996: 1-6 - [c5]Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
A fast LUT+CMAC data predistorter. EUSIPCO 1996: 1-4 - [c4]Ignacio Santamaría-Caballero, Carlos J. Pantaleón-Prieto, Fernando Díaz-de-María, Antonio Artés-Rodríguez:
A new inverse filter criterion for blind deconvolution of spiky signals using Gaussian mixtures. ICASSP 1996: 1680-1683 - 1994
- [j2]Jesús Cid-Sueiro, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Recurrent radial basis function networks for optimal symbol-by-symbol equalization. Signal Process. 40(1): 53-63 (1994) - 1993
- [c3]Fernando Pérez-Cruz, Domingo Docampo, Antonio Artés, Chaouki T. Abdallah:
Feasibility analysis of channel equalizers using Kharitonov-type results. ICASSP (3) 1993: 579-582 - 1991
- [c2]Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez, Juan Antonio A. Hernández-Méndez:
Phase constraining algorithms for data blind equalization. ICASSP 1991: 1929-1932 - 1990
- [j1]Aníbal R. Figueiras-Vidal, Domingo Docampo-Amoedo, José R. Casar Corredera, Antonio Artés-Rodríguez:
Adaptive iterative algorithms for spiky deconvolution. IEEE Trans. Acoust. Speech Signal Process. 38(8): 1462-1466 (1990) - [c1]Aníbal R. Figueiras-Vidal, Domingo Docampo-Amoedo, José R. Casar Corredera, Antonio Artés-Rodríguez:
On using the adaptive delay filter in sparse identification and extensions to sparse deconvolution and sinusoid detection. ICASSP 1990: 2503-2506
Coauthor Index
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