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Luca Faes

Showing results (11-20 of 189) with videos related to

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Biomedizinische Technik. Biomedical Engineering|October 26, 2006
Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability seriesLuca Faes, Roberta Cucino, Giandomenico Nollo
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2008
Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighborsLuca Faes, Alberto Porta, Giandomenico Nollo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time seriesLuca Faes, Silvia Erla, Giandomenico Nollo
IEEE Transactions on Bio-Medical Engineering|February 24, 2010
Testing frequency-domain causality in multivariate time seriesLuca Faes, Alberto Porta, Giandomenico Nollo
Physical Review. E|January 15, 2022
Inferring directionality of coupled dynamical systems using Gaussian process priors: Application on neurovascular systemsAmeer Ghouse, Luca Faes, Gaetano Valenza
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 7, 2011
Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding techniqueLuca Faes, Giandomenico Nollo, Alberto Porta
Frontiers in Physiology|November 10, 2011
Information domain approach to the investigation of cardio-vascular, cardio-pulmonary, and vasculo-pulmonary causal couplingsLuca Faes, Giandomenico Nollo, Alberto Porta
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular InteractionsGorana Mijatovic, Yuri Antonacci, Luca Faes
Entropy (Basel, Switzerland)|December 8, 2020
Assessing Complexity in Physiological Systems through Biomedical Signals AnalysisPaolo Castiglioni, Luca Faes, Gaetano Valenza
Computational and Mathematical Methods in Medicine|June 6, 2012
Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysisLuca Faes, Silvia Erla, Giandomenico Nollo
Pageof 19

Showing results (11-20 of 189) with videos related to

Sort By:
Pageof 19
Biomedizinische Technik. Biomedical Engineering|October 26, 2006
Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability seriesLuca Faes, Roberta Cucino, Giandomenico Nollo
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2008
Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighborsLuca Faes, Alberto Porta, Giandomenico Nollo
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time seriesLuca Faes, Silvia Erla, Giandomenico Nollo
IEEE Transactions on Bio-Medical Engineering|February 24, 2010
Testing frequency-domain causality in multivariate time seriesLuca Faes, Alberto Porta, Giandomenico Nollo
Physical Review. E|January 15, 2022
Inferring directionality of coupled dynamical systems using Gaussian process priors: Application on neurovascular systemsAmeer Ghouse, Luca Faes, Gaetano Valenza
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 7, 2011
Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding techniqueLuca Faes, Giandomenico Nollo, Alberto Porta
Frontiers in Physiology|November 10, 2011
Information domain approach to the investigation of cardio-vascular, cardio-pulmonary, and vasculo-pulmonary causal couplingsLuca Faes, Giandomenico Nollo, Alberto Porta
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular InteractionsGorana Mijatovic, Yuri Antonacci, Luca Faes
Entropy (Basel, Switzerland)|December 8, 2020
Assessing Complexity in Physiological Systems through Biomedical Signals AnalysisPaolo Castiglioni, Luca Faes, Gaetano Valenza
Computational and Mathematical Methods in Medicine|June 6, 2012
Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysisLuca Faes, Silvia Erla, Giandomenico Nollo
Pageof 19