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In Silico Characterization of Repolarization Duration and Variability in the Long QT1 Syndrome Under β-Adrenergic Stimulation., , , , , and . CinC, page 1-4. IEEE, (2020)A novel scheme for diffusion networks with least-squares adaptive combiners., , , and . MLSP, page 1-6. IEEE, (2012)Adjustment of combination weights over adaptive diffusion networks., , and . ICASSP, page 6409-6413. IEEE, (2014)Differential Responses to Beta-Adrenergic Stimulation in the Long QT Syndrome Type 1: Characterization and Mechanisms., , and . CinC, www.cinc.org, (2017)Distributed estimation in diffusion networks using affine least-squares combiners., , , and . Digit. Signal Process., (2015)On the relationship between online Gaussian process regression and kernel least mean squares algorithms., , and . MLSP, page 1-6. IEEE, (2016)Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation., , and . ISWCS, page 1-5. VDE-Verlag / IEEE, (2013)Cooperative data censoring for energy-efficient communications in Sensor Networks., , and . MLSP, page 1-6. IEEE, (2011)Decoupled Adapt-then-Combine diffusion networks with adaptive combiners., , , and . CoRR, (2015)Asymptotic analysis of cooperative censoring policies in sensor networks., , and . Ad Hoc Networks, (2015)