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A support vector Laplacian distance Kernel approach to the inverse problem in intracardiac electrophysiology
Conference ObjectAbstract: The accurate estimation of the intracardiac electrical sources from a reduced set of electrodes at sPalabras claves:Dual Signal Model, electrophysiology, Inverse Problem, Laplacian, Mercer Kernel, Support Vector MachineAutores:Caulier-Cisterna R.P., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Sanromán-Junquera M.Fuentes:scopusDifferential Beat Accuracy for ECG Family Classification Using Machine Learning
ArticleAbstract: Holter systems record the electrocardiogram (ECG), which is used to identify beat families accordingPalabras claves:differential beat accuracy, differential confusion matrix, ECG morphology, family beats, Machine learning, MIT-BIH databaseAutores:Caulier-Cisterna R.P., GarcÍa-Alberola A., Goya-Esteban R., Jose Luis Rojo-Álvarez, Vadillo-Valderrama A.Fuentes:scopusOnline service function chain deployment for live-streaming in virtualized content delivery networks: A deep reinforcement learning approach
ArticleAbstract: Video delivery is exploiting 5G networks to enable higher server consolidation and deployment flexibPalabras claves:5g networks, Deep reinforcement learning, Live-video delivery, Network function virtualization, Service function chain deployment, Virtualized content delivery networksAutores:Aminael Sánchez-Rodríguez, Caulier-Cisterna R.P., Celsi L.R., Mecella M., Moreno J.F.C., Sattler R.Fuentes:googlescopus