Sebastiano Stramaglia

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 25

Top Topics

Functional Connectivity

Information Transfer

Granger Causality

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Luca Faes, Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia
Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. EMBC (2023)
Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Thomas F. Varley, Joseph T. Lizier, Sebastiano Stramaglia, Henrik J. Jensen, Daniele Marinazzo
Disentangling high-order mechanisms and high-order behaviours in complex systems. CoRR (2022)
Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia
A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. IEEE Trans. Signal Process. 70 (2022)
Gorana Mijatovic, Dragan Kljajic, Karolina K. Kasas-Lazetic, Miodrag Milutinov, Salvatore Stivala, Alessandro Busacca, Alfonso C. Cino, Sebastiano Stramaglia, Luca Faes
Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. Entropy 24 (5) (2022)
Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance. CoRR (2022)
Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia
Gradients of O-information: low-order descriptors of high-order dependencies. CoRR (2022)
Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. COMPLEX NETWORKS (1) (2022)
Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. IEEE Access 9 (2021)
Maider Nuñez-Ibero, Borja Camino-Pontes, Ibai Díez, Asier Erramuzpe, Endika Martinez-Gutierrez, Sebastiano Stramaglia, Javier O. Alvarez-Cienfuegos, Jesús M. Cortés
A Controlled Thermoalgesic Stimulation Device for Exploring Novel Pain Perception Biomarkers. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Davide Nuzzi, Luca Faes, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia
Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability. EUSIPCO (2020)
Lucas Lacasa, Sebastiano Stramaglia, Daniele Marinazzo
Beyond pairwise network similarity: exploring Mediation and Suppression between networks. CoRR (2020)
Tomas Scagliarini, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, Rosario N. Mantegna
Synergistic Information Transfer in the Global System of Financial Markets. Entropy 22 (9) (2020)
Jana Krohova, Luca Faes, Barbora Czippelova, Zuzana Turianikova, Nikoleta Mazgutova, Riccardo Pernice, Alessandro Busacca, Daniele Marinazzo, Sebastiano Stramaglia, Michal Javorka
Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress. Entropy 21 (5) (2019)
Borja Camino-Pontes, Ibai Díez, Antonio Jimenez-Marin, Javier Rasero, Asier Erramuzpe, Paolo Bonifazi, Sebastiano Stramaglia, Stephan P. Swinnen, Jesús M. Cortés
Interaction Information Along Lifespan of the Resting Brain Dynamics Reveals a Major Redundant Role of the Default Mode Network. Entropy 20 (10) (2018)
Sebastiano Stramaglia, Iege Bassez, Luca Faes, Daniele Marinazzo
Multiscale Granger causality analysis by à trous wavelet transform. IWASI (2017)
Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes. Entropy 19 (8) (2017)
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
Multiscale Analysis of Information Dynamics for Linear Multivariate Processes. CoRR (2016)
Sebastiano Stramaglia, Leonardo Angelini, Guorong Wu, Jesús M. Cortés, Luca Faes, Daniele Marinazzo
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI. IEEE Trans. Biomed. Eng. 63 (12) (2016)
Julia M. Kroos, Ibai Díez, Jesús M. Cortés, Sebastiano Stramaglia, Luca Gerardo-Giorda
Geometry Shapes Propagation: Assessing the Presence and Absence of Cortical Symmetries through a Computational Model of Cortical Spreading Depression. Frontiers Comput. Neurosci. 10 (2016)
Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
Multiscale analysis of information dynamics for linear multivariate processes. EMBC (2016)
Ibai Díez, Asier Erramuzpe, Iñaki Escudero, Beatriz Mateos, Alberto Cabrera, Daniele Marinazzo, Ernesto J. Sanz-Arigita, Sebastiano Stramaglia, Jesús M. Cortés Diaz
Information Flow Between Resting-State Networks. Brain Connect. 5 (9) (2015)
Asier Erramuzpe, J. M. Encinas, Amanda Sierra, Mirjana Maletic-Savatic, A. L. Brewster, Anne E. Anderson, Sebastiano Stramaglia, Jesús M. Cortés
Longitudinal variations of brain functional connectivity: A case report study based on a mouse model of epilepsy. F1000Research 4 (2015)
Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. Neural Networks 71 (2015)
Sebastiano Stramaglia, Leonardo Angelini, Jesús M. Cortés, Daniele Marinazzo
Synergy, redundancy and unnormalized Granger causality. EMBC (2015)
Sebastiano Stramaglia, Leonardo Angelini, Jesús M. Cortés, Daniele Marinazzo
Synergy, redundancy and unnormalized Granger causality. CoRR (2015)
Sebastiano Stramaglia, Jesús M. Cortés, Daniele Marinazzo
Synergy and redundancy in the Granger causal analysis of dynamical networks. CoRR (2014)
Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Jurong Ding, Huafu Chen, Daniele Marinazzo
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Medical Image Anal. 17 (3) (2013)
Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Huafu Chen, Daniele Marinazzo
Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality. Brain Connect. 3 (3) (2013)
Gabriele Trotta, Sebastiano Stramaglia, Mario Pellicoro, Roberto Bellotti, Daniele Marinazzo, Marina de Tommaso
Effective connectivity and cortical information flow under visual stimulation in migraine with aura. IWASI (2013)
Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
Causal Information Approach to Partial Conditioning in Multivariate Data Sets. Comput. Math. Methods Medicine 2012 (2012)
Daniele Marinazzo, Mario Pellicoro, Guo-Rong Wu, Leonardo Angelini, Sebastiano Stramaglia
Information flow in a network model and the law of diminishing marginal returns CoRR (2012)
Guorong Wu, Sebastiano Stramaglia, Daniele Marinazzo
Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering. ICONIP (1) (2012)
Sebastiano Stramaglia, Guo-Rong Wu, Mario Pellicoro, Daniele Marinazzo
Expanding the transfer entropy to identify information subgraphs in complex systems. EMBC (2012)
Sebastiano Stramaglia, Guo-Rong Wu, Mario Pellicoro, Daniele Marinazzo
Expanding the Transfer Entropy to Identify Information Subgraphs in Complex Systems CoRR (2012)
Daniele Marinazzo, Wei Liao, Huafu Chen, Sebastiano Stramaglia
Nonlinear connectivity by Granger causality. NeuroImage 58 (2) (2011)
Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
Semi-supervised learning by search of optimal target vector. Pattern Recognit. Lett. 29 (1) (2008)
Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
Causality and communities in neural networks. ESANN (2007)
Leonardo Angelini, Roberto Maestri, Daniele Marinazzo, Luigi Nitti, Mario Pellicoro, Gian Domenico Pinna, Sebastiano Stramaglia, Salvatore A. Tupputi
Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series. Artif. Intell. Medicine 41 (3) (2007)
Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
Nonlinear parametric model for Granger causality of time series CoRR (2006)
Nicola Ancona, Sebastiano Stramaglia
An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces. Neural Comput. 18 (4) (2006)
Fabio Bovenga, Sebastiano Stramaglia, Raffaele Nutricato, Alberto Refice
Discrimination of different sources of signals in permanent scatterers technique by means of independent component analysis. IGARSS (2003)
Fabio Bovenga, Alberto Refice, Sebastiano Stramaglia, Domenico Conte
Phase unwrapping by means of scaling information and global optimization algorithms. SAR (2002)
Alberto Refice, Fabio Bovenga, Sebastiano Stramaglia, Domenico Conte
Use of scaling information for stochastic atmospheric absolute phase screen retrieval. IGARSS (2002)
Armando Sternieri, P. Anelli, Sebastiano Stramaglia, U. Emiliani
AGAPE: Parallel Genetic Algorithm Programming Environment Developed for ape100/quadrics. Comput. Artif. Intell. 18 (3) (1999)
Sebastiano Stramaglia, Guido Pasquariello, Luciano Guerriero, Arcangelo Distante
Interferometric SAR Phase Unwrapping by Parallel Tempering on a APE100/Quadrics Supercomputer. HPCN Europe (1998)
Alberto Refice, Maria Teresa Chiaradia, Luciano Guerriero, Giovanni Nico, Palma N. Blonda, Guido Pasquariello, Giuseppe Satalino, Sebastiano Stramaglia, Nicola Veneziani
Local and global strategies for InSAR phase unwrapping. SAR (1998)
Giovanni Sebastiani, Sebastiano Stramaglia
A Bayesian approach for the median filter in image processing. Signal Process. 62 (3) (1997)