Sebastiano Stramaglia

56 papers B 1C 2Journal 40Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Model-Free Method to Quantify Memory Utilization in Neural Point Processes. IEEE Trans. Biomed. Eng. Gorana Mijatovic, Sebastiano Stramaglia, Luca Faes
2025	—	`conf`	Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress. COINS Marta Iovino, Marlis Ontivero-Ortega, Chiara Barà, Sebastiano Stramaglia, Michal Javorka, Riccardo Pernice, Luca Faes
2025	J	`jnl`	Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease. CoRR Marlis Ontivero-Ortega, Alessandro Fania, Antonio Lacalamita, Roberto Bellotti, Alfonso Monaco, Sebastiano Stramaglia
2025	J	`jnl`	Decomposing Multivariate Information Rates in Networks of Random Processes. CoRR Laura Sparacino, Gorana Mijatovic, Yuri Antonacci, Leonardo Ricci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2025	J	`jnl`	Information-theoretic Quantification of High-order Feature Effects in Classification Problems. CoRR Ivan Lazic, Chiara Barà, Marta Iovino, Sebastiano Stramaglia, Niksa Jakovljevic, Luca Faes
2025	J	`jnl`	Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies. Entropy Marlis Ontivero-Ortega, Gorana Mijatovic, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia
2025	J	`jnl`	Network Representation of Higher-Order Interactions Based on Information Dynamics. IEEE Trans. Netw. Sci. Eng. Gorana Mijatovic, Yuri Antonacci, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2024	J	`jnl`	Functional Hypergraphs of Stock Markets. Entropy Jerry Jones David, Narayan G. Sabhahit, Sebastiano Stramaglia, T. Di Matteo, Stefano Boccaletti, Sarika Jalan
2024	J	`jnl`	Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition. CoRR Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo
2023	—	`conf`	Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. EMBC Luca Faes, Gorana Mijatovic, Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia
2022	J	`jnl`	A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. IEEE Trans. Signal Process. Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia
2022	J	`jnl`	Disentangling high-order mechanisms and high-order behaviours in complex systems. CoRR Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Thomas F. Varley, Joseph T. Lizier, Sebastiano Stramaglia, Henrik J. Jensen, Daniele Marinazzo
2022	J	`jnl`	Gradients of O-information: low-order descriptors of high-order dependencies. CoRR Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia
2022	J	`jnl`	Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance. CoRR Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo
2022	J	`jnl`	Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. Entropy Gorana Mijatovic, Dragan Kljajic, Karolina K. Kasas-Lazetic, Miodrag Milutinov, Salvatore Stivala, Alessandro Busacca, Alfonso C. Cino, Sebastiano Stramaglia, Luca Faes
2022	—	`conf`	Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. COMPLEX NETWORKS (1) Laura Sparacino, Yuri Antonacci, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2021	J	`jnl`	A Controlled Thermoalgesic Stimulation Device for Exploring Novel Pain Perception Biomarkers. IEEE J. Biomed. Health Informatics Maider Nuñez-Ibero, Borja Camino-Pontes, Ibai Díez, Asier Erramuzpe, Endika Martinez-Gutierrez, Sebastiano Stramaglia, Javier O. Alvarez-Cienfuegos, Jesús M. Cortés
2021	J	`jnl`	Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. IEEE Access Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2020	J	`jnl`	Beyond pairwise network similarity: exploring Mediation and Suppression between networks. CoRR Lucas Lacasa, Sebastiano Stramaglia, Daniele Marinazzo
2020	—	`conf`	Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability. EUSIPCO Davide Nuzzi, Luca Faes, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia
2020	J	`jnl`	Synergistic Information Transfer in the Global System of Financial Markets. Entropy Tomas Scagliarini, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, Rosario N. Mantegna
2019	J	`jnl`	Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress. Entropy Jana Krohova, Luca Faes, Barbora Czippelova, Zuzana Turianikova, Nikoleta Mazgutova, Riccardo Pernice, Alessandro Busacca, Daniele Marinazzo, Sebastiano Stramaglia, Michal Javorka
2018	J	`jnl`	Interaction Information Along Lifespan of the Resting Brain Dynamics Reveals a Major Redundant Role of the Default Mode Network. Entropy Borja Camino-Pontes, Ibai Díez, Antonio Jimenez-Marin, Javier Rasero, Asier Erramuzpe, Paolo Bonifazi, Sebastiano Stramaglia, Stephan P. Swinnen, Jesús M. Cortés
2017	—	`conf`	Multiscale Granger causality analysis by à trous wavelet transform. IWASI Sebastiano Stramaglia, Iege Bassez, Luca Faes, Daniele Marinazzo
2017	J	`jnl`	Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes. Entropy Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia
2016	J	`jnl`	Geometry Shapes Propagation: Assessing the Presence and Absence of Cortical Symmetries through a Computational Model of Cortical Spreading Depression. Frontiers Comput. Neurosci. Julia M. Kroos, Ibai Díez, Jesús M. Cortés, Sebastiano Stramaglia, Luca Gerardo-Giorda
2016	J	`jnl`	Multiscale Analysis of Information Dynamics for Linear Multivariate Processes. CoRR Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
2016	—	`conf`	Multiscale analysis of information dynamics for linear multivariate processes. EMBC Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo
2016	J	`jnl`	Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI. IEEE Trans. Biomed. Eng. Sebastiano Stramaglia, Leonardo Angelini, Guorong Wu, Jesús M. Cortés, Luca Faes, Daniele Marinazzo
2015	J	`jnl`	Information Flow Between Resting-State Networks. Brain Connect. Ibai Díez, Asier Erramuzpe, Iñaki Escudero, Beatriz Mateos, Alberto Cabrera, Daniele Marinazzo, Ernesto J. Sanz-Arigita, Sebastiano Stramaglia, Jesús M. Cortés Diaz
2015	J	`jnl`	Longitudinal variations of brain functional connectivity: A case report study based on a mouse model of epilepsy. F1000Research Asier Erramuzpe, J. M. Encinas, Amanda Sierra, Mirjana Maletic-Savatic, A. L. Brewster, Anne E. Anderson, Sebastiano Stramaglia, Jesús M. Cortés
2015	J	`jnl`	Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. Neural Networks Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo
2015	—	`conf`	Synergy, redundancy and unnormalized Granger causality. EMBC Sebastiano Stramaglia, Leonardo Angelini, Jesús M. Cortés, Daniele Marinazzo
2015	J	`jnl`	Synergy, redundancy and unnormalized Granger causality. CoRR Sebastiano Stramaglia, Leonardo Angelini, Jesús M. Cortés, Daniele Marinazzo
2014	J	`jnl`	Synergy and redundancy in the Granger causal analysis of dynamical networks. CoRR Sebastiano Stramaglia, Jesús M. Cortés, Daniele Marinazzo
2013	J	`jnl`	A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Medical Image Anal. Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Jurong Ding, Huafu Chen, Daniele Marinazzo
2013	—	`conf`	Effective connectivity and cortical information flow under visual stimulation in migraine with aura. IWASI Gabriele Trotta, Sebastiano Stramaglia, Mario Pellicoro, Roberto Bellotti, Daniele Marinazzo, Marina de Tommaso
2013	J	`jnl`	Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality. Brain Connect. Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Huafu Chen, Daniele Marinazzo
2012	J	`jnl`	Causal Information Approach to Partial Conditioning in Multivariate Data Sets. Comput. Math. Methods Medicine Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
2012	—	`conf`	Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering. ICONIP (1) Guorong Wu, Sebastiano Stramaglia, Daniele Marinazzo
2012	J	`jnl`	Expanding the Transfer Entropy to Identify Information Subgraphs in Complex Systems CoRR Sebastiano Stramaglia, Guo-Rong Wu, Mario Pellicoro, Daniele Marinazzo
2012	—	`conf`	Expanding the transfer entropy to identify information subgraphs in complex systems. EMBC Sebastiano Stramaglia, Guo-Rong Wu, Mario Pellicoro, Daniele Marinazzo
2012	J	`jnl`	Information flow in a network model and the law of diminishing marginal returns CoRR Daniele Marinazzo, Mario Pellicoro, Guo-Rong Wu, Leonardo Angelini, Sebastiano Stramaglia
2011	J	`jnl`	Nonlinear connectivity by Granger causality. NeuroImage Daniele Marinazzo, Wei Liao, Huafu Chen, Sebastiano Stramaglia
2008	J	`jnl`	Semi-supervised learning by search of optimal target vector. Pattern Recognit. Lett. Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
2007	B	`conf`	Causality and communities in neural networks. ESANN Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
2007	J	`jnl`	Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series. Artif. Intell. Medicine Leonardo Angelini, Roberto Maestri, Daniele Marinazzo, Luigi Nitti, Mario Pellicoro, Gian Domenico Pinna, Sebastiano Stramaglia, Salvatore A. Tupputi
2006	J	`jnl`	An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces. Neural Comput. Nicola Ancona, Sebastiano Stramaglia
2006	J	`jnl`	Nonlinear parametric model for Granger causality of time series CoRR Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
2003	C	`conf`	Discrimination of different sources of signals in permanent scatterers technique by means of independent component analysis. IGARSS Fabio Bovenga, Sebastiano Stramaglia, Raffaele Nutricato, Alberto Refice
2002	—	`conf`	Phase unwrapping by means of scaling information and global optimization algorithms. SAR Fabio Bovenga, Alberto Refice, Sebastiano Stramaglia, Domenico Conte
2002	C	`conf`	Use of scaling information for stochastic atmospheric absolute phase screen retrieval. IGARSS Alberto Refice, Fabio Bovenga, Sebastiano Stramaglia, Domenico Conte
1999	J	`jnl`	AGAPE: Parallel Genetic Algorithm Programming Environment Developed for ape100/quadrics. Comput. Artif. Intell. Armando Sternieri, P. Anelli, Sebastiano Stramaglia, U. Emiliani
1998	—	`conf`	Interferometric SAR Phase Unwrapping by Parallel Tempering on a APE100/Quadrics Supercomputer. HPCN Europe Sebastiano Stramaglia, Guido Pasquariello, Luciano Guerriero, Arcangelo Distante
1998	—	`conf`	Local and global strategies for InSAR phase unwrapping. SAR Alberto Refice, Maria Teresa Chiaradia, Luciano Guerriero, Giovanni Nico, Palma N. Blonda, Guido Pasquariello, Giuseppe Satalino, Sebastiano Stramaglia, Nicola Veneziani
1997	J	`jnl`	A Bayesian approach for the median filter in image processing. Signal Process. Giovanni Sebastiani, Sebastiano Stramaglia