Jesus Fernandez-Bes
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Adaptive Diffusion Schemes for Heterogeneous Networks
J Fernandez-Bes, J Arenas-García, M Silva, LA Azpicueta-Ruiz
IEEE Transactions on Signal Processing 65 (21), 5661 - 5674, 2017
A probabilistic least-mean-squares filter
J Fernandez-Bes, V Elvira, S Van Vaerenbergh
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
Mechanisms underlying interactions between low-frequency oscillations and beat-to-beat variability of celullar ventricular repolarization in response to sympathetic stimulation …
DA Sampedro-Puente, J Fernandez-Bes, B Porter, S Van Duijvenboden, ...
Frontiers in physiology 10, 443488, 2019
Distributed estimation in diffusion networks using affine least-squares combiners
J Fernandez-Bes, LA Azpicueta-Ruiz, J Arenas-Garcia, MTM Silva
Digital Signal Processing 36, 1-14, 2015
Adjustment of combination weights over adaptive diffusion networks
J Fernandez-Bes, J Arenas-García, AH Sayed
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions
J Fernandez-Bes, J Cid-Sueiro, A Marques
IEEE Journal on Selected Areas in Communications 33 (8), 1717 - 1729, 2015
Time course of low-frequency oscillatory behavior in human ventricular repolarization following enhanced sympathetic activity and relation to arrhythmogenesis
DA Sampedro-Puente, J Fernandez-Bes, N Szentandrássy, P Nánási, ...
Frontiers in physiology 10, 497635, 2020
A novel scheme for diffusion networks with least-squares adaptive combiners
J Fernández-Bes, LA Azpicueta-Ruiz, MTM Silva, J Arenas-Garcıa
Machine Learning for Signal Processing, 2009. MLSP 2012. IEEE International …, 2012
On The Relationship Between Online Gaussian Process Regression And Kernel Least Mean Squares Algorithms
S Van Vaerenbergh, J Fernandez-Bes, V Elvira
2016 IEEE International Workshop on Machine Learning for Signal Processing …, 2016
Complex interaction between low-frequency APD oscillations and beat-to-beat APD variability in humans is governed by the sympathetic nervous system
SV Duijvenboden, B Porter, E Pueyo, DA Sampedro-Puente, ...
Frontiers in Physiology 10, 1582, 2020
Characterization of Spatio-Temporal Cardiac Action Potential Variability at Baseline and Under -Adrenergic Stimulation by Combined Unscented Kalman Filter …
DA Sampedro-Puente, F Raphel, J Fernandez-Bes, P Laguna, ...
IEEE journal of biomedical and health informatics 25 (1), 276-288, 2020
Data-driven identification of stochastic model parameters and state variables: Application to the study of cardiac beat-to-beat variability
DA Sampedro-Puente, J Fernandez-Bes, L Virág, A Varró, E Pueyo
IEEE journal of biomedical and health informatics 24 (3), 693-704, 2019
Censoring diffusion for harvesting WSNs
J Fernandez-Bes, R Arroyo-Valles, J Arenas-García, J Cid-Sueiro
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation
J Fernandez-Bes, AG Marques, J Cid-Sueiro
ISWCS 2013; The Tenth International Symposium on Wireless Communication …, 2013
Decentralized Detection with Energy-Aware Greedy Selective Sensors
J Fernández-Bes, J Cid-Sueiro
Cognitive Information Processing (CIP), 2012 3rd International Workshop on, 1-6, 2012
Cooperative data censoring for energy-efficient communications in sensor networks
J Fernández-Bes, R Arroyo-Valles, J Cid-Sueiro
2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011
Identification of Parameters describing Phenomenological Cardiac Action Potential Models using Sigma-Point Methods
J Fernandez-Bes, DA Sampedro-Puente, E Pueyo
Computing 44, 1, 2017
Asymptotic analysis of cooperative censoring policies in sensor networks
J Fernandez-Bes, R Arroyo-Valles, J Cid-Sueiro
Ad Hoc Networks 29, 63-77, 2015
Improved least-squares-based combiners for diffusion networks
J Fernandez-Bes, LA Azpicueta-Ruiz, M Silva, J Arenas-García
Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth …, 2013
Energy generation prediction: Lessons learned from the use of Kaggle in Machine Learning Course
J Fernandez-Bes, J Arenas-García, J Cid-Sueiro
NIPS Workshop: Challenges in Machine Learning: Gaming and Education., 2016
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