Antonio Artés-Rodríguez

ORCID

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 41

Top Venues

CoRR

IEEE J. Biomed. Health Informatics

ICASSP

Pattern Recognit.

Publications

Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
Deep autoregressive models with spectral attention. Pattern Recognit. 133 (2023)
Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
Regularizing transformers with deep probabilistic layers. Neural Networks 161 (2023)
Lorena Romero-Medrano, Antonio Artés-Rodríguez
Multi-Source Change-Point Detection over Local Observation Models. Pattern Recognit. 134 (2023)
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
Unsupervised learning of global factors in deep generative models. Pattern Recognit. 134 (2023)
María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. CoRR (2023)
Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez
Medical Data Wrangling With Sequential Variational Autoencoders. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. CoRR (2022)
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 (2022)
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) (2022)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Modular Gaussian Processes for Transfer Learning. NeurIPS (2021)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Modular Gaussian Processes for Transfer Learning. CoRR (2021)
Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
Deep Autoregressive Models with Spectral Attention. CoRR (2021)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Change-point detection in hierarchical circadian models. Pattern Recognit. 113 (2021)
Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez
Medical data wrangling with sequential variational autoencoders. CoRR (2021)
Aurora Cobo Aguilera, Pablo Martinez-Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
Regularizing Transformers With Deep Probabilistic Layers. CoRR (2021)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Recyclable Gaussian Processes. CoRR (2020)
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
Multinomial Sampling for Hierarchical Change-Point Detection. CoRR (2020)
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 (2020)
Pablo Bonilla-Escribano, David Ramírez, Antonio Artés-Rodríguez
Modeling Phone Call Durations via Switching Poisson Processes with Applications in Mental Health. MLSP (2020)
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 (2020)
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
Multinomial Sampling for Hierarchical Change-Point Detection. MLSP (2020)
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)
Aurora Cobo Aguilera, Antonio Artés-Rodríguez, Fernando Pérez-Cruz, Pablo Martinez-Olmos
Robust Sampling in Deep Learning. CoRR (2020)
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
Unsupervised Learning of Global Factors in Deep Generative Models. CoRR (2020)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Continual Learning for Infinite Hierarchical Change-Point Detection. ICASSP (2020)
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) (2019)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Continual Multi-task Gaussian Processes. CoRR (2019)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Continual Learning for Infinite Hierarchical Change-Point Detection. CoRR (2019)
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) (2019)
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 (2019)
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) (2019)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Heterogeneous Multi-output Gaussian Process Prediction. NeurIPS (2018)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Heterogeneous Multi-output Gaussian Process Prediction. CoRR (2018)
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)
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) (2018)
Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric
A Comparison Of Clipping Strategies For Importance Sampling. SSP (2018)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Change-Point Detection on Hierarchical Circadian Models. CoRR (2018)
Gonzalo Rios-Muñoz, Antonio Artés-Rodríguez, Joaquín Míguez
Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation. CinC (2018)
Alfredo Nazábal, Antonio Artés-Rodríguez
Active Sensing in Human Activity Recognition. IWANN (1) (2017)
David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Antonio Artés-Rodríguez
A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. ICASSP (2016)
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) (2016)
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) (2015)
Francisco Hernando-Gallego, Antonio Artés-Rodríguez
Individual performance calibration using physiological stress signals. CoRR (2015)
Alfredo Nazábal, Antonio Artés-Rodríguez
Discriminative spectral learning of hidden markov models for human activity recognition. ICASSP (2015)
Pablo G. Moreno, Antonio Artés-Rodríguez, Yee Whye Teh, Fernando Pérez-Cruz
Bayesian nonparametric crowdsourcing. J. Mach. Learn. Res. 16 (2015)
Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
Smelly parallel MCMC chains. ICASSP (2015)
Jair Montoya-Martínez, Antonio Artés-Rodríguez, Massimiliano Pontil
Structured sparse-low rank matrix factorization for the EEG inverse problem. CIP (2014)
Victor Elvira, Alfredo Nazábal-Renteria, Antonio Artés-Rodríguez
A novel feature extraction technique for human activity recognition. SSP (2014)
Thomas Trigano, V. Kolesnikov, David Luengo, Antonio Artés-Rodríguez
Grouped sparsity algorithm for multichannel intracardiac ECG synchronization. EUSIPCO (2014)
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) (2014)
Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
Orthogonal MCMC algorithms. SSP (2014)
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 (2014)
David Luengo, Javier Vía, Sandra Monzón, Tom Trigano, Antonio Artés-Rodríguez
Cross-products LASSO. ICASSP (2013)
Sandra Monzón, Tom Trigano, David Luengo, Antonio Artés-Rodríguez
Sparse spectral analysis of atrial fibrillation electrograms. MLSP (2012)
Blanca Florentino-Liaño, Niamh O'Mahony, Antonio Artés-Rodríguez
Human activity recognition using inertial sensors with invariance to sensor orientation. CIP (2012)
Pablo Garcia-Moreno, Antonio Artés-Rodríguez, Lars Kai Hansen
A Hold-out method to correct PCA variance inflation. CIP (2012)
José M. Leiva-Murillo, Antonio Artés-Rodríguez
Algorithms for maximum-likelihood bandwidth selection in kernel density estimators. Pattern Recognit. Lett. 33 (13) (2012)
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) (2012)
Blanca Florentino-Liaño, Niamh O'Mahony, Antonio Artés-Rodríguez
Hierarchical Dynamic Model for Human Daily Activity Recognition. BIOSIGNALS (2012)
Blanca Florentino-Liaño, Niamh O'Mahony, Antonio Artés-Rodríguez
Long term human activity recognition with automatic orientation estimation. MLSP (2012)
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 (2012)
Jair Montoya-Martínez, Antonio Artés-Rodríguez, Lars Kai Hansen, Massimiliano Pontil
Structured sparsity regularization approach to the EEG inverse problem. CIP (2012)
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) (2011)
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) (2011)
Shan Gong, Antonio Artés-Rodríguez
Fast Background Elimination in Fluorescence Microbiology Images: Comparison of Four Algorithms. EANN/AIAI (2) (2011)
Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
Extended Input Space Support Vector Machine. IEEE Trans. Neural Networks 22 (1) (2011)
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)
Pablo Viñuelas-Peris, Antonio Artés-Rodríguez
Bayesian joint recovery of correlated signals in Distributed Compressed Sensing. CIP (2010)
David Delgado-Gómez, Federico Sukno, David Aguado, Carlos Santa Cruz, Antonio Artés-Rodríguez
Individual identification using personality traits. J. Netw. Comput. Appl. 33 (3) (2010)
Marcelino Lázaro, Matilde Sánchez Fernández, Antonio Artés-Rodríguez
Optimal Sensor Selection in Binary Heterogeneous Sensor Networks. IEEE Trans. Signal Process. 57 (4) (2009)
José-Emilio Vila-Forcén, Antonio Artés-Rodríguez, Javier Garcia-Frías
Compressive sensing detection of stochastic signals. CISS (2008)
Ricardo Santiago-Mozos, Ramón Fernández-Lorenzana, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
On the uncertainty in sequential hypothesis testing. ISBI (2008)
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) (2008)
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) (2007)
Joaquín Míguez, Antonio Artés-Rodríguez
Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks. EUSIPCO (2007)
Mahesh Vemula, Joaquín Míguez, Antonio Artés-Rodríguez
A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network. WPNC (2007)
Marcelino Lázaro, Antonio Artés-Rodríguez
Optimal Sensor Selection in Heterogeneous Sensor Networks. ICASSP (2) (2007)
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)
José M. Leiva-Murillo, Antonio Artés-Rodríguez
Maximization of Mutual Information for Supervised Linear Feature Extraction. IEEE Trans. Neural Networks 18 (5) (2007)
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)
Joaquín Míguez, Antonio Artés-Rodríguez
A particle filter for beacon-free node location and target tracking in sensor networks. EUSIPCO (2006)
José M. Leiva-Murillo, Antonio Artés-Rodríguez
A Fixed-Point Algorithm for Finding the Optimal Covariance Matrix in Kernel Density Modeling. ICASSP (5) (2006)
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)
Ricardo Santiago-Mozos, Antonio Artés-Rodríguez
Distributed Hypothesis Testing Using Local Learning Based Classifiers. ICASSP (4) (2006)
Joaquín Míguez, Antonio Artés-Rodríguez
A Monte Carlo Method for Joint Node Location and Maneuvering Target Tracking in a Sensor Network. ICASSP (4) (2006)
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) (2005)
Antonio Artés-Rodríguez, Marcelino Lázaro, Matilde Sánchez Fernández
Decentralized detection in dense sensor networks with censored transmissions. ICASSP (4) (2005)
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) (2005)
Fernando Pérez-Cruz, Carlos Bousoño-Calzón, Antonio Artés-Rodríguez
Convergence of the IRWLS Procedure to the Support Vector Machine Solution. Neural Comput. 17 (1) (2005)
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) (2004)
Antonio Artés-Rodríguez
Decentralized detection in sensor networks using range information. ICASSP (2) (2004)
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)
José M. Leiva-Murillo, Antonio Artés-Rodríguez
A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction. ICA (2004)
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) (2004)
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) (2004)
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) (2004)
Antonio Artés-Rodríguez, Ricardo Torres-Lopez, Lang Tong
Distributed detection by multiple tests in sensor networks using range information. EUSIPCO (2004)
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)
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)
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) (2003)

Antonio Artés-Rodríguez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Antonio Artés-Rodríguez