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Luca Faes

Showing results (101-110 of 189) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|September 11, 2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causalityAlessandro Montalto, Sebastiano Stramaglia, Luca Faes, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
Extending the spectral decomposition of Granger causality to include instantaneous influences: application to the control mechanisms of heart rate variabilityD Nuzzi, S Stramaglia, M Javorka, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Investigating The Effect Of Systolic And Diastolic Arterial Pressures On Mean Pressure Through Partial Information DecompositionLaura Sparacino, Riccardo Pernice, Chiara Bara, et al.
Frontiers in Network Physiology|November 3, 2023
Time-varying information measures: an adaptive estimation of information storage with application to brain-heart interactionsYuri Antonacci, Chiara Barà, Andrea Zaccaro, et al.
IEEE Journal of Biomedical and Health Informatics|March 31, 2026
A Principled and Data-efficient Information-theoretic Method for Feature SelectionMarta Iovino, Ivan Lazic, Chiara Bara, et al.
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRISebastiano Stramaglia, Leonardo Angelini, Guorong Wu, et al.
Plos One|June 5, 2015
Cardiorespiratory Information Dynamics during Mental Arithmetic and Sustained AttentionDevy Widjaja, Alessandro Montalto, Elke Vlemincx, et al.
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
Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability<sup></sup>Riccardo Pernice, Gabriele Volpes, Jana Cernanova Krohova, et al.
Physiological Measurement|November 13, 2024
Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indicesMarta Iovino, Ivan Lazic, Tatjana Loncar-Turukalo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Causal brain-heart information transfer during visual emotional elicitation in healthy subjects: Preliminary evaluations and future perspectivesLuca Faes, Alberto Greco, Antonio Lanata, et al.
Pageof 19

Showing results (101-110 of 189) with videos related to

Sort By:
Pageof 19
Neural Networks : the Official Journal of the International Neural Network Society|September 11, 2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causalityAlessandro Montalto, Sebastiano Stramaglia, Luca Faes, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
Extending the spectral decomposition of Granger causality to include instantaneous influences: application to the control mechanisms of heart rate variabilityD Nuzzi, S Stramaglia, M Javorka, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Investigating The Effect Of Systolic And Diastolic Arterial Pressures On Mean Pressure Through Partial Information DecompositionLaura Sparacino, Riccardo Pernice, Chiara Bara, et al.
Frontiers in Network Physiology|November 3, 2023
Time-varying information measures: an adaptive estimation of information storage with application to brain-heart interactionsYuri Antonacci, Chiara Barà, Andrea Zaccaro, et al.
IEEE Journal of Biomedical and Health Informatics|March 31, 2026
A Principled and Data-efficient Information-theoretic Method for Feature SelectionMarta Iovino, Ivan Lazic, Chiara Bara, et al.
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRISebastiano Stramaglia, Leonardo Angelini, Guorong Wu, et al.
Plos One|June 5, 2015
Cardiorespiratory Information Dynamics during Mental Arithmetic and Sustained AttentionDevy Widjaja, Alessandro Montalto, Elke Vlemincx, et al.
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
Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability<sup></sup>Riccardo Pernice, Gabriele Volpes, Jana Cernanova Krohova, et al.
Physiological Measurement|November 13, 2024
Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indicesMarta Iovino, Ivan Lazic, Tatjana Loncar-Turukalo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Causal brain-heart information transfer during visual emotional elicitation in healthy subjects: Preliminary evaluations and future perspectivesLuca Faes, Alberto Greco, Antonio Lanata, et al.
Pageof 19