publications
Here you can find some of my publications. Go to my Google Scholar Profile if you want to find the most updated list.
2020
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Complex interaction between low-frequency APD oscillations and beat-to-beat APD variability in humans is governed by the sympathetic nervous systemFrontiers in Physiology 2020
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Time course of low-frequency oscillatory behavior in human ventricular repolarization following enhanced sympathetic activity and relation to arrhythmogenesisFrontiers in physiology 2020
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Characterization of Spatio-Temporal Cardiac Action Potential Variability at Baseline and Under $\backslashbeta $-Adrenergic Stimulation by Combined Unscented Kalman Filter and Double Greedy Dimension ReductionIEEE Journal of Biomedical and Health Informatics 2020
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In Silico Characterization of Repolarization Duration and Variability in the Long QT1 Syndrome Under β-Adrenergic StimulationIn 2020 Computing in Cardiology 2020
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Caracterización in silico de la duración de la repolarización y su variabilidad en el sı́ndrome de QT Largo Tipo1 bajo estimulación beta adrenérgica.In XXXVIII Congreso Anual de la Sociedad Española de Ingenierı́a Biomédica. CASEIB 2020: Libro de actas 2020
2019
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Poster Session 1-43rd EWGCCE MeetingEP Europace 2019
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Data-driven identification of stochastic model parameters and state variables: Application to the study of cardiac beat-to-beat variabilityIEEE journal of biomedical and health informatics 2019
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Mechanisms underlying interactions between low-frequency oscillations and beat-to-beat variability of celullar ventricular repolarization in response to sympathetic stimulation: implications for arrhythmogenesisFrontiers in physiology 2019
2018
2017
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Adaptive Diffusion Schemes for Heterogeneous NetworksIEEE Transactions on Signal Processing 2017
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Identification of Parameters describing Phenomenological Cardiac Action Potential Models using Sigma-Point MethodsComputing 2017
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Differential Responses to Beta-Adrenergic Stimulation in the Long-QT Syndrome Type 1: Characterization and MechanismsComputing 2017
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Aligning Heterogeneous Language Vocabularies using Word-EmbeddingsIn ICML Workshop: Machine Learning in Speech and Language Processing (ICML 2017) 2017
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Caracterización de la respuesta a la estimulación beta-adrenérgica en el sı́ndrome LQT1In ICML Workshop: Machine Learning in Speech and Language Processing (ICML 2017) 2017
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Unscented Kalman Filter para el ajuste de parámetros de modelos fenomenológicos de potencial de acción cardı́acoIn ICML Workshop: Machine Learning in Speech and Language Processing (ICML 2017) 2017
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Caracterización de la respuesta a la estimulación betaadrenérgica en el sı́ndrome LQT1In XXXV Congreso anual de la Sociedad Española de Ingenierı́a Biomédica: Libro de actas 2017
2016
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On The Relationship Between Online Gaussian Process Regression And Kernel Least Mean Squares AlgorithmsIn 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2016
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On the Relationship between Online Optimizers and Recursive FiltersIn NIPS Workshop: Optimizing the optimizers. 30th Conference on Neural Information Processing Systems (NIPS 2016) 2016
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Energy generation prediction: Lessons learned from the use of Kaggle in Machine Learning CourseIn NIPS Workshop: Challenges in Machine Learning: Gaming and Education. 2016
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Unscented Kalman Filter for Unobservable Parameter Estimation in Heart Cell SignalsIn Actas de las V Jornadas Jovenes Investigadores del I3A 2016
2015
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Distributed estimation in diffusion networks using affine least-squares combinersDigital Signal Processing 2015
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An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated SolutionsIEEE Journal on Selected Areas in Communications 2015
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Asymptotic analysis of cooperative censoring policies in sensor networksAd Hoc Networks 2015
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Censoring diffusion for harvesting WSNsIn 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2015
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A probabilistic least-mean-squares filterIn 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
2014
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Adjustment of combination weights over adaptive diffusion networksIn 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014
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Estimacion distribuida con redes de difusion: algoritmo con combinadores adaptativos y agentes que preservan estimaciones locales2014
2013
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Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual ApproximationIn ISWCS 2013; The Tenth International Symposium on Wireless Communication Systems 2013
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Improved least-squares-based combiners for diffusion networksIn Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on 2013
2012
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Decentralized Detection with Energy-Aware Greedy Selective SensorsIn Cognitive Information Processing (CIP), 2012 3rd International Workshop on 2012
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A novel scheme for diffusion networks with least-squares adaptive combinersIn Machine Learning for Signal Processing, 2009. MLSP 2012. IEEE International Workshop on 2012
2011
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Cooperative data censoring for energy-efficient communications in sensor networksIn 2011 IEEE International Workshop on Machine Learning for Signal Processing 2011
2010
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Segmentación de campo de juego en vı́deos de baloncesto para detección de eventos en tiempo realIn 2011 IEEE International Workshop on Machine Learning for Signal Processing 2010