On using the adaptive delay filter in sparse identification and extensions to sparse deconvolution and sinusoid detection. - Aníbal R. Figueiras-Vidal; Domingo Docampo-Amoedo; José R. Casar Corredera; Antonio Artés-Rodríguez (ICASSP, 1990)

Adaptive iterative algorithms for spiky deconvolution. - Aníbal R. Figueiras-Vidal; Domingo Docampo-Amoedo; José R. Casar Corredera; Antonio Artés-Rodríguez (IEEE Trans. Acoust. Speech Signal Process., 1990)

Phase constraining algorithms for data blind equalization. - Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez; Juan Antonio A. Hernández-Méndez (ICASSP, 1991)

Feasibility analysis of channel equalizers using Kharitonov-type results. - Fernando Pérez-Cruz; Domingo Docampo; Antonio Artés; Chaouki T. Abdallah (ICASSP (3), 1993)

Recurrent radial basis function networks for optimal symbol-by-symbol equalization. - Jesús Cid-Sueiro; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (Signal Process., 1994)

Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning. - Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez; Jesús Cid-Sueiro; Manel Martínez-Ramón (EUSIPCO, 1996)

A fast LUT+CMAC data predistorter. - Francisco Javier González-Serrano; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (EUSIPCO, 1996)

A new inverse filter criterion for blind deconvolution of spiky signals using Gaussian mixtures. - Ignacio Santamaría-Caballero; Carlos J. Pantaleón-Prieto; Fernando Díaz-de-María; Antonio Artés-Rodríguez (ICASSP, 1996)

Sparse deconvolution using adaptive mixed-Gaussian models. - Ignacio Santamaría-Caballero; Carlos J. Pantaleón-Prieto; Antonio Artés-Rodríguez (Signal Process., 1996)

Wiener extrapolation of sequences and the expectation-maximization algorithm. - Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (IEEE Signal Process. Lett., 1996)

Reduced-complexity decision-feedback equalizer for nonlinear channels. - Francisco Javier González-Serrano; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (EUSIPCO, 1998)

GGMAC-based equalizer for nonlinear channels. - Francisco Javier González-Serrano; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (ICASSP, 1998)

Fourier analysis of the generalized CMAC neural network. - Francisco Javier González-Serrano; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (Neural Networks, 1998)

Generalizing CMAC architecture and training. - Francisco Javier González-Serrano; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (IEEE Trans. Neural Networks, 1998)

Deconvolution of seismic data using adaptive Gaussian mixtures. - Ignacio Santamaría; Carlos Pantaleón; Jesús Ibáñez 002; Antonio Artés-Rodríguez (IEEE Trans. Geosci. Remote. Sens., 1999)

Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise. - Manel Martínez-Ramón; José-Luis Sancho-Gómez; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (EUSIPCO, 2000)

An IRWLS procedure for SVR. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (EUSIPCO, 2000)

A data-adaptive regularization method for line spectrum estimation. - Ignacio Santamaría; Antonio Artés; Rafael González Ayestarán; Carlos Pantaleón (EUSIPCO, 2000)

Support vector classifier with hyperbolic tangent penalty function. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (ICASSP, 2000)

Fast Training of Support Vector Classifiers. - Fernando Pérez-Cruz; Pedro Luis Alarcón-Diana; Ángel Navia-Vázquez; Antonio Artés-Rodríguez (NIPS, 2000)

Multi-iteration wavelet zero-tree coding for image compression. - María Ángeles Losada; Gulay Tohumoglu; David Fraile; Antonio Artés (Signal Process., 2000)

A new optimizing procedure for ν-support vector regressor. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (ICASSP, 2001)

SVC-based equalizer for burst TDMA transmissions. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (Signal Process., 2001)

GCMAC-based predistortion for digital modulations. - Francisco Javier González-Serrano; Juan José Murillo-Fuentes; Antonio Artés-Rodríguez (IEEE Trans. Commun., 2001)

Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. - Ángel Navia-Vázquez; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2001)

Adaptive SVC for nonlinear channel equalization. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (EUSIPCO, 2002)

Puncturing Multi-class Support Vector Machines. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (ICANN, 2002)

Multi-dimensional Function Approximation and Regression Estimation. - Fernando Pérez-Cruz; Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (ICANN, 2002)

Support Vector Robust Algorithms for Non-parametric Spectral Analysis. - José Luis Rojo-Álvarez; Arcadi García-Alberola; Manel Martínez-Ramón; Mariano Valdés; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (ICANN, 2002)

Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Aníbal R. Figueiras-Vidal; Mario de Prado-Cumplido; Antonio Artés-Rodríguez (ICANN, 2002)

Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images. - Ricardo Santiago-Mozos; José M. Leiva-Murillo; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (AVSS, 2003)

Support vector machine for the simultaneous approximation of a function and its derivative. - Marcelino Lázaro; Ignacio Santamaría; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (NNSP, 2003)

A robust support vector algorithm for nonparametric spectral analysis. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Aníbal R. Figueiras-Vidal; Ana García Armada; Antonio Artés-Rodríguez (IEEE Signal Process. Lett., 2003)

Empirical risk minimization for support vector classifiers. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (IEEE Trans. Neural Networks, 2003)

Distributed detection by multiple tests in sensor networks using range information. - Antonio Artés-Rodríguez; Ricardo Torres-Lopez; Lang Tong 001 (EUSIPCO, 2004)

Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function. - Fernando Pérez-Cruz; Marcelino Lázaro; Antonio Artés-Rodríguez (EUSIPCO, 2004)

A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction. - José M. Leiva-Murillo; Antonio Artés-Rodríguez (ICA, 2004)

Decentralized detection in sensor networks using range information. - Antonio Artés-Rodríguez (ICASSP (2), 2004)

Speeding up the IRWLS convergence to the SVM solution. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (IJCNN, 2004)

Adaptively combined LMS and logistic equalizers. - Manel Martínez-Ramón; Antonio Artés-Rodríguez; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (IEEE Signal Process. Lett., 2004)

Special Issue on Learning: Advances in Multimedia Communications, Information Processing, and Education. - Antonio Artés-Rodríguez; José Luis Fernández-Villacañas Martín (IEEE Trans. Syst. Man Cybern. Part C, 2004)

Support vector method for robust ARMA system identification. - José Luis Rojo-Álvarez; Luis Martínez-Ramón; Mario de Prado-Cumplido; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (IEEE Trans. Signal Process., 2004)

Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. - Ángel Navia-Vázquez; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (J. VLSI Signal Process., 2004)

Decentralized detection in dense sensor networks with censored transmissions. - Antonio Artés-Rodríguez; Marcelino Lázaro; Matilde Sánchez Fernández (ICASSP (4), 2005)

Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. - Marcelino Lázaro; Ignacio Santamaría; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (Neurocomputing, 2005)

Convergence of the IRWLS Procedure to the Support Vector Machine Solution. - Fernando Pérez-Cruz; Carlos Bousoño-Calzón; Antonio Artés-Rodríguez (Neural Comput., 2005)

Learning a function and its derivative forcing the support vector expansion. - Marcelino Lázaro; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (IEEE Signal Process. Lett., 2005)

A particle filter for beacon-free node location and target tracking in sensor networks. - Joaquín Míguez; Antonio Artés-Rodríguez (EUSIPCO, 2006)

A Fixed-Point Algorithm for Finding the Optimal Covariance Matrix in Kernel Density Modeling. - José M. Leiva-Murillo; Antonio Artés-Rodríguez (ICASSP (5), 2006)

A Monte Carlo Method for Joint Node Location and Maneuvering Target Tracking in a Sensor Network. - Joaquín Míguez; Antonio Artés-Rodríguez (ICASSP (4), 2006)

Distributed Hypothesis Testing Using Local Learning Based Classifiers. - Ricardo Santiago-Mozos; Antonio Artés-Rodríguez (ICASSP (4), 2006)

Particle Filtering Algorithms for Tracking a Maneuvering Target Using a Network of Wireless Dynamic Sensors. - Joaquín Míguez; Antonio Artés-Rodríguez (EURASIP J. Adv. Signal Process., 2006)

Real-time tracking and identification on an intelligent IR-based surveillance system. - Juan C. Alonso-Bayal; Ricardo Santiago-Mozos; José M. Leiva-Murillo; Marcelino Lázaro; Antonio Artés-Rodríguez (AVSS, 2007)

Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks. - Joaquín Míguez; Antonio Artés-Rodríguez (EUSIPCO, 2007)

Optimal Sensor Selection in Heterogeneous Sensor Networks. - Marcelino Lázaro; Antonio Artés-Rodríguez (ICASSP (2), 2007)

A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. - Marcelino Lázaro; José M. Leiva-Murillo; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (IJCNN, 2007)

A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network. - Mahesh Vemula; Joaquín Míguez; Antonio Artés-Rodríguez (WPNC, 2007)

Maximization of Mutual Information for Supervised Linear Feature Extraction. - José M. Leiva-Murillo; Antonio Artés-Rodríguez (IEEE Trans. Neural Networks, 2007)

Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. - Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; N. Víctor Jiménez (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Compressive sensing detection of stochastic signals. - José-Emilio Vila-Forcén; Antonio Artés-Rodríguez; Javier Garcia-Frías (CISS, 2008)

On the uncertainty in sequential hypothesis testing. - Ricardo Santiago-Mozos; Ramón Fernández-Lorenzana; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (ISBI, 2008)

A simulated annealing approach to speaker segmentation in audio databases. - José M. Leiva-Murillo; Sancho Salcedo-Sanz; Ascensión Gallardo-Antolín; Antonio Artés-Rodríguez (Eng. Appl. Artif. Intell., 2008)

Optimal Sensor Selection in Binary Heterogeneous Sensor Networks. - Marcelino Lázaro; Matilde Sánchez Fernández; Antonio Artés-Rodríguez (IEEE Trans. Signal Process., 2009)

Bayesian joint recovery of correlated signals in Distributed Compressed Sensing. - Pablo Viñuelas-Peris; Antonio Artés-Rodríguez (CIP, 2010)

Energy Efficiency Using Loop Buffer based Instruction Memory Organizations. - Antonio Artés; Filipa Duarte; Maryam Ashouei; Jos Huisken; José Luis Ayala; David Atienza; Francky Catthoor (IWIA, 2010)

Individual identification using personality traits. - David Delgado-Gómez; Federico Sukno; David Aguado; Carlos Santa Cruz; Antonio Artés-Rodríguez (J. Netw. Comput. Appl., 2010)

Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations. - Jorge Plata-Chaves; Marcelino Lázaro; Antonio Artés-Rodríguez (FUSION, 2011)

Fast Background Elimination in Fluorescence Microbiology Images: Comparison of Four Algorithms. - Shan Gong; Antonio Artés-Rodríguez (AIAI, 2011)

Run-time self-tuning banked loop buffer architecture for power optimization of dynamic workload applications. - Antonio Artés; José Luis Ayala; Ashoka Visweswara Sathanur; Jos Huisken; Francky Catthoor (VLSI-SoC, 2011)

Improving the accuracy of suicide attempter classification. - David Delgado-Gómez; Hilario Blasco-Fontecilla; AnaLucia A. Alegria; Teresa Legido-Gil; Antonio Artés-Rodríguez; Enrique Baca-García (Artif. Intell. Medicine, 2011)

Improving sale performance prediction using support vector machines. - David Delgado-Gómez; David Aguado; Jorge Lopez-Castroman; Carlos Santa Cruz; Antonio Artés-Rodríguez (Expert Syst. Appl., 2011)

Extended Input Space Support Vector Machine. - Ricardo Santiago-Mozos; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (IEEE Trans. Neural Networks, 2011)

Hierarchical Dynamic Model for Human Daily Activity Recognition. - Blanca Florentino-Liaño; Niamh O'Mahony; Antonio Artés-Rodríguez (BIOSIGNALS, 2012)

Human activity recognition using inertial sensors with invariance to sensor orientation. - Blanca Florentino-Liaño; Niamh O'Mahony; Antonio Artés-Rodríguez (CIP, 2012)

A Hold-out method to correct PCA variance inflation. - Pablo Garcia-Moreno; Antonio Artés-Rodríguez; Lars Kai Hansen (CIP, 2012)

Structured sparsity regularization approach to the EEG inverse problem. - Jair Montoya-Martínez; Antonio Artés-Rodríguez; Lars Kai Hansen; Massimiliano Pontil (CIP, 2012)

IMOSIM: Exploration tool for Instruction Memory Organisations based on accurate cycle-level energy modelling. - Antonio Artés; José L. Ayala; Francky Catthoor (ICECS, 2012)

Long term human activity recognition with automatic orientation estimation. - Blanca Florentino-Liaño; Niamh O'Mahony; Antonio Artés-Rodríguez (MLSP, 2012)

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)

Algorithms for maximum-likelihood bandwidth selection in kernel density estimators. - José M. Leiva-Murillo; Antonio Artés-Rodríguez (Pattern Recognit. Lett., 2012)

Power Impact of Loop Buffer Schemes for Biomedical Wireless Sensor Nodes. - Antonio Artés; José L. Ayala; Francky Catthoor (Sensors, 2012)

Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review. - José M. Leiva-Murillo; Antonio Artés-Rodríguez (IEEE Trans. Syst. Man Cybern. Part C, 2012)

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

Energy impact in the design space exploration of loop buffer schemes in embedded systems. - Antonio Artés; José Luis Ayala; Robert Fasthuber; Praveen Raghavan; Francky Catthoor (VLSI-SoC, 2013)

Design exploration of a NVM based hybrid instruction memory organization for embedded platforms. - Manu Perumkunnil Komalan; José Ignacio Gómez Pérez; Christian Tenllado; José Miguel Montañana; Antonio Artés; José Francisco Tirado Fernández; Francky Catthoor (Des. Autom. Embed. Syst., 2013)

Survey of Low-Energy Techniques for Instruction Memory Organisations in Embedded Systems. - Antonio Artés; José L. Ayala; Jos Huisken; Francky Catthoor (J. Signal Process. Syst., 2013)

Design Space Exploration of Distributed Loop Buffer Architectures with Incompatible Loop-Nest Organisations in Embedded Systems. - Antonio Artés; Robert Fasthuber; José Luis Ayala; Praveen Raghavan; Francky Catthoor (J. Signal Process. Syst., 2013)

Structured sparse-low rank matrix factorization for the EEG inverse problem. - Jair Montoya-Martínez; Antonio Artés-Rodríguez; Massimiliano Pontil (CIP, 2014)

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

A novel feature extraction technique for human activity recognition. - Victor Elvira; Alfredo Nazábal-Renteria; Antonio Artés-Rodríguez (SSP, 2014)

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

A regularized matrix factorization approach to induce structured sparse-low-rank solutions in the EEG inverse problem. - Jair Montoya-Martínez; Antonio Artés-Rodríguez; Massimiliano Pontil; Lars Kai Hansen (EURASIP J. Adv. Signal Process., 2014)

A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications. - Hyejung Kim; Sunyoung Kim; Nick Van Helleputte; Antonio Artés; Mario Konijnenburg; Jos Huisken; Chris Van Hoof; Refet Firat Yazicioglu (IEEE Trans. Biomed. Circuits Syst., 2014)

An Automated Screening System for Tuberculosis. - Ricardo Santiago-Mozos; Fernando Pérez-Cruz; Michael G. Madden; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2014)

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

Discriminative spectral learning of hidden markov models for human activity recognition. - Alfredo Nazábal; Antonio Artés-Rodríguez (ICASSP, 2015)

Individual performance calibration using physiological stress signals. - Francisco Hernando-Gallego; Antonio Artés-Rodríguez (CoRR, 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)

Bayesian nonparametric crowdsourcing. - Pablo G. Moreno; Antonio Artés-Rodríguez; Yee Whye Teh; Fernando Pérez-Cruz (J. Mach. Learn. Res., 2015)

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

Human Activity Recognition by Combining a Small Number of Classifiers. - Alfredo Nazábal; Pablo Garcia-Moreno; Antonio Artés-Rodríguez; Zoubin Ghahramani (IEEE J. Biomed. Health Informatics, 2016)

Active Sensing in Human Activity Recognition. - Alfredo Nazábal; Antonio Artés-Rodríguez (IWANN (1), 2017)

Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation. - Gonzalo Rios-Muñoz; Antonio Artés-Rodríguez; Joaquín Míguez (CinC, 2018)

Patient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atrium. - Gonzalo Rios-Muñoz; Sara Rocher; Antonio Artés-Rodríguez; Angel Arenal; Javier Saiz; Carlos Sánchez 005 (CinC, 2018)

Heterogeneous Multi-output Gaussian Process Prediction. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (NeurIPS, 2018)

A Comparison Of Clipping Strategies For Importance Sampling. - Luca Martino; Victor Elvira; Joaquín Míguez; Antonio Artés-Rodríguez; Petar M. Djuric (SSP, 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)

Continual Multi-task Gaussian Processes. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (CoRR, 2019)

Assessment of e-Social Activity in Psychiatric Patients. - Pablo Bonilla-Escribano; David Ramírez 001; Alba Sedano-Capdevila; Juan José Campaña-Montes; Enrique Baca-García; Philippe Courtet; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 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)

Deep Sequential Models for Suicidal Ideation From Multiple Source Data. - Ignacio Peis; Pablo M. Olmos; Constanza Vera-Varela; María Luisa Barrigón; Philippe Courtet; Enrique Baca-García; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2019)

Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms. - Gonzalo Rios-Muñoz; Fernando Moreno-Pino; Nina Soto; Pablo M. Olmos; Antonio Artés-Rodríguez; Francisco Fernandez-Aviles; Angel Arenal (CinC, 2020)

Continual Learning for Infinite Hierarchical Change-Point Detection. - Pablo Moreno-Muñoz; David Ramírez 001; Antonio Artés-Rodríguez (ICASSP, 2020)

Modeling Phone Call Durations via Switching Poisson Processes with Applications in Mental Health. - Pablo Bonilla-Escribano; David Ramírez 001; Antonio Artés-Rodríguez (MLSP, 2020)

Multinomial Sampling for Hierarchical Change-Point Detection. - Lorena Romero-Medrano; Pablo Moreno-Muñoz; Antonio Artés-Rodríguez (MLSP, 2020)

A Probabilistic Patient Scheduling Model with Time Variable Slots. - Danae Carreras-García; David Delgado-Gómez; Enrique Baca-García; Antonio Artés-Rodríguez (Comput. Math. Methods Medicine, 2020)

Robust Sampling in Deep Learning. - Aurora Cobo Aguilera; Antonio Artés-Rodríguez; Fernando Pérez-Cruz; Pablo Martinez-Olmos (CoRR, 2020)

Recyclable Gaussian Processes. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (CoRR, 2020)

Passive detection of behavioral shifts for suicide attempt prevention. - Pablo Moreno-Muñoz; Lorena Romero-Medrano; Ángela Moreno; Jesús Herrera-López; Enrique Baca-García; Antonio Artés-Rodríguez (CoRR, 2020)

Modular Gaussian Processes for Transfer Learning. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (NeurIPS, 2021)

Change-point detection in hierarchical circadian models. - Pablo Moreno-Muñoz; David Ramírez 001; Antonio Artés-Rodríguez (Pattern Recognit., 2021)

PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. - Fernando Moreno-Pino; Emese Sükei; Pablo M. Olmos; Antonio Artés-Rodríguez (CoRR, 2022)

Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data. - Fernando Moreno-Pino; María Martínez-García; Pablo M. Olmos; Antonio Artés-Rodríguez (CoRR, 2022)

Medical Data Wrangling With Sequential Variational Autoencoders. - Daniel Barrejón; Pablo M. Olmos; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2022)

Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection. - Lorena Romero-Medrano; Pablo Moreno-Muñoz; Antonio Artés-Rodríguez (J. Signal Process. Syst., 2022)

Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. - María Martínez-García; Fernando Moreno-Pino; Pablo M. Olmos; Antonio Artés-Rodríguez (CoRR, 2023)

Deep autoregressive models with spectral attention. - Fernando Moreno-Pino; Pablo M. Olmos; Antonio Artés-Rodríguez (Pattern Recognit., 2023)

Unsupervised learning of global factors in deep generative models. - Ignacio Peis; Pablo M. Olmos; Antonio Artés-Rodríguez (Pattern Recognit., 2023)

Multi-Source Change-Point Detection over Local Observation Models. - Lorena Romero-Medrano; Antonio Artés-Rodríguez (Pattern Recognit., 2023)

Regularizing transformers with deep probabilistic layers. - Aurora Cobo Aguilera; Pablo M. Olmos; Antonio Artés-Rodríguez; Fernando Pérez-Cruz (Neural Networks, 2023)

A Foundation Model for Patient Behavior Monitoring and Suicide Detection. - Rodrigo Oliver; Josué Pérez-Sabater; Leire Paz-Arbaizar; Alejandro Lancho; Antonio Artés; Pablo M. Olmos (CoRR, 2025)