A Bayesian approach for the median filter in image processing. - Giovanni Sebastiani; Sebastiano Stramaglia (Signal Process., 1997)

Interferometric SAR Phase Unwrapping by Parallel Tempering on a APE100/Quadrics Supercomputer. - Sebastiano Stramaglia; Guido Pasquariello; Luciano Guerriero; Arcangelo Distante (HPCN Europe, 1998)

Local and global strategies for InSAR phase unwrapping. - Alberto Refice; Maria Teresa Chiaradia; Luciano Guerriero; Giovanni Nico; Palma N. Blonda; Guido Pasquariello; Giuseppe Satalino; Sebastiano Stramaglia; Nicola Veneziani (SAR, 1998)

AGAPE: Parallel Genetic Algorithm Programming Environment Developed for ape100/quadrics. - Armando Sternieri; P. Anelli; Sebastiano Stramaglia; U. Emiliani (Comput. Artif. Intell., 1999)

Use of scaling information for stochastic atmospheric absolute phase screen retrieval. - Alberto Refice; Fabio Bovenga; Sebastiano Stramaglia; Domenico Conte (IGARSS, 2002)

Phase unwrapping by means of scaling information and global optimization algorithms. - Fabio Bovenga; Alberto Refice; Sebastiano Stramaglia; Domenico Conte (SAR, 2002)

Discrimination of different sources of signals in permanent scatterers technique by means of independent component analysis. - Fabio Bovenga; Sebastiano Stramaglia; Raffaele Nutricato; Alberto Refice (IGARSS, 2003)

Nonlinear parametric model for Granger causality of time series - Daniele Marinazzo; Mario Pellicoro; Sebastiano Stramaglia (CoRR, 2006)

An Invariance Property of Predictors in Kernel-Induced Hypothesis Spaces. - Nicola Ancona; Sebastiano Stramaglia (Neural Comput., 2006)

Causality and communities in neural networks. - Leonardo Angelini; Daniele Marinazzo; Mario Pellicoro; Sebastiano Stramaglia (ESANN, 2007)

Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series. - Leonardo Angelini; Roberto Maestri; Daniele Marinazzo; Luigi Nitti; Mario Pellicoro; Gian Domenico Pinna; Sebastiano Stramaglia; Salvatore A. Tupputi (Artif. Intell. Medicine, 2007)

Semi-supervised learning by search of optimal target vector. - Leonardo Angelini; Daniele Marinazzo; Mario Pellicoro; Sebastiano Stramaglia (Pattern Recognit. Lett., 2008)

Nonlinear connectivity by Granger causality. - Daniele Marinazzo; Wei Liao 001; Huafu Chen; Sebastiano Stramaglia (NeuroImage, 2011)

Expanding the transfer entropy to identify information subgraphs in complex systems. - Sebastiano Stramaglia; Guo-Rong Wu 003; Mario Pellicoro; Daniele Marinazzo (EMBC, 2012)

Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering. - Guorong Wu 003; Sebastiano Stramaglia; Daniele Marinazzo (ICONIP (1), 2012)

Causal Information Approach to Partial Conditioning in Multivariate Data Sets. - Daniele Marinazzo; Mario Pellicoro; Sebastiano Stramaglia (Comput. Math. Methods Medicine, 2012)

Information flow in a network model and the law of diminishing marginal returns - Daniele Marinazzo; Mario Pellicoro; Guo-Rong Wu 003; Leonardo Angelini; Sebastiano Stramaglia (CoRR, 2012)

Effective connectivity and cortical information flow under visual stimulation in migraine with aura. - Gabriele Trotta; Sebastiano Stramaglia; Mario Pellicoro; Roberto Bellotti; Daniele Marinazzo; Marina de Tommaso (IWASI, 2013)

Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality. - Guo-Rong Wu 003; Wei Liao 001; Sebastiano Stramaglia; Huafu Chen; Daniele Marinazzo (Brain Connect., 2013)

A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. - Guo-Rong Wu 003; Wei Liao 001; Sebastiano Stramaglia; Jurong Ding; Huafu Chen; Daniele Marinazzo (Medical Image Anal., 2013)

Synergy and redundancy in the Granger causal analysis of dynamical networks. - Sebastiano Stramaglia; Jesús M. Cortés; Daniele Marinazzo (CoRR, 2014)

Synergy, redundancy and unnormalized Granger causality. - Sebastiano Stramaglia; Leonardo Angelini; Jesús M. Cortés; Daniele Marinazzo (EMBC, 2015)

Information Flow Between Resting-State Networks. - Ibai Díez; Asier Erramuzpe; Iñaki Escudero; Beatriz Mateos; Alberto Cabrera; Daniele Marinazzo; Ernesto J. Sanz-Arigita; Sebastiano Stramaglia; Jesús M. Cortés Diaz (Brain Connect., 2015)

Longitudinal variations of brain functional connectivity: A case report study based on a mouse model of epilepsy. - Asier Erramuzpe; J. M. Encinas; Amanda Sierra; Mirjana Maletic-Savatic; A. L. Brewster; Anne E. Anderson; Sebastiano Stramaglia; Jesús M. Cortés (F1000Research, 2015)

Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. - Alessandro Montalto; Sebastiano Stramaglia; Luca Faes; Giovanni Tessitore; Roberto Prevete; Daniele Marinazzo (Neural Networks, 2015)

Multiscale analysis of information dynamics for linear multivariate processes. - Luca Faes; Alessandro Montalto; Sebastiano Stramaglia; Giandomenico Nollo; Daniele Marinazzo (EMBC, 2016)

Geometry Shapes Propagation: Assessing the Presence and Absence of Cortical Symmetries through a Computational Model of Cortical Spreading Depression. - Julia M. Kroos; Ibai Díez; Jesús M. Cortés; Sebastiano Stramaglia; Luca Gerardo-Giorda (Frontiers Comput. Neurosci., 2016)

Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI. - Sebastiano Stramaglia; Leonardo Angelini; Guorong Wu 003; Jesús M. Cortés; Luca Faes; Daniele Marinazzo (IEEE Trans. Biomed. Eng., 2016)

Multiscale Granger causality analysis by à trous wavelet transform. - Sebastiano Stramaglia; Iege Bassez; Luca Faes; Daniele Marinazzo (IWASI, 2017)

Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes. - Luca Faes; Daniele Marinazzo; Sebastiano Stramaglia (Entropy, 2017)

Interaction Information Along Lifespan of the Resting Brain Dynamics Reveals a Major Redundant Role of the Default Mode Network. - Borja Camino-Pontes; Ibai Díez; Antonio Jimenez-Marin; Javier Rasero; Asier Erramuzpe; Paolo Bonifazi; Sebastiano Stramaglia; Stephan P. Swinnen; Jesús M. Cortés (Entropy, 2018)

Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress. - Jana Krohova; Luca Faes; Barbora Czippelova; Zuzana Turianikova; Nikoleta Mazgutova; Riccardo Pernice; Alessandro Busacca; Daniele Marinazzo; Sebastiano Stramaglia; Michal Javorka (Entropy, 2019)

Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability. - Davide Nuzzi; Luca Faes; Michal Javorka; Daniele Marinazzo; Sebastiano Stramaglia (EUSIPCO, 2020)

Beyond pairwise network similarity: exploring Mediation and Suppression between networks. - Lucas Lacasa; Sebastiano Stramaglia; Daniele Marinazzo (CoRR, 2020)

Synergistic Information Transfer in the Global System of Financial Markets. - Tomas Scagliarini; Luca Faes; Daniele Marinazzo; Sebastiano Stramaglia; Rosario N. Mantegna (Entropy, 2020)

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition. - Yuri Antonacci; Ludovico Minati; Davide Nuzzi; Gorana Mijatovic; Riccardo Pernice; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Access, 2021)

A Controlled Thermoalgesic Stimulation Device for Exploring Novel Pain Perception Biomarkers. - Maider Nuñez-Ibero; Borja Camino-Pontes; Ibai Díez; Asier Erramuzpe; Endika Martinez-Gutierrez; Sebastiano Stramaglia; Javier O. Alvarez-Cienfuegos; Jesús M. Cortés (IEEE J. Biomed. Health Informatics, 2021)

Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach. - Laura Sparacino; Yuri Antonacci; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (COMPLEX NETWORKS (1), 2022)

Disentangling high-order mechanisms and high-order behaviours in complex systems. - Fernando E. Rosas; Pedro A. M. Mediano; Andrea I. Luppi; Thomas F. Varley; Joseph T. Lizier; Sebastiano Stramaglia; Henrik J. Jensen; Daniele Marinazzo (CoRR, 2022)

Gradients of O-information: low-order descriptors of high-order dependencies. - Tomas Scagliarini; Davide Nuzzi; Yuri Antonacci; Luca Faes; Fernando E. Rosas; Daniele Marinazzo; Sebastiano Stramaglia (CoRR, 2022)

Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance. - Kenzo Clauw; Sebastiano Stramaglia; Daniele Marinazzo (CoRR, 2022)

Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. - Gorana Mijatovic; Dragan Kljajic; Karolina K. Kasas-Lazetic; Miodrag Milutinov; Salvatore Stivala; Alessandro Busacca; Alfonso C. Cino; Sebastiano Stramaglia; Luca Faes (Entropy, 2022)

A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes. - Luca Faes; Gorana Mijatovic; Yuri Antonacci; Riccardo Pernice; Chiara Barà; Laura Sparacino; Marco Sammartino; Alberto Porta; Daniele Marinazzo; Sebastiano Stramaglia (IEEE Trans. Signal Process., 2022)

Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition. - Luca Faes; Gorana Mijatovic; Laura Sparacino; Yuri Antonacci; Daniele Marinazzo; Sebastiano Stramaglia (EMBC, 2023)

Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition. - Kenzo Clauw; Sebastiano Stramaglia; Daniele Marinazzo (CoRR, 2024)

Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress. - Marta Iovino; Marlis Ontivero-Ortega; Chiara Barà; Sebastiano Stramaglia; Michal Javorka; Riccardo Pernice; Luca Faes (COINS, 2025)

Network Representation of Higher-Order Interactions Based on Information Dynamics. - Gorana Mijatovic; Yuri Antonacci; Michal Javorka; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (IEEE Trans. Netw. Sci. Eng., 2025)

Decomposing Multivariate Information Rates in Networks of Random Processes. - Laura Sparacino; Gorana Mijatovic; Yuri Antonacci; Leonardo Ricci; Daniele Marinazzo; Sebastiano Stramaglia; Luca Faes (CoRR, 2025)

Information-theoretic Quantification of High-order Feature Effects in Classification Problems. - Ivan Lazic; Chiara Barà; Marta Iovino; Sebastiano Stramaglia; Niksa Jakovljevic; Luca Faes (CoRR, 2025)

Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease. - Marlis Ontivero-Ortega; Alessandro Fania; Antonio Lacalamita; Roberto Bellotti; Alfonso Monaco; Sebastiano Stramaglia (CoRR, 2025)

A Model-Free Method to Quantify Memory Utilization in Neural Point Processes. - Gorana Mijatovic; Sebastiano Stramaglia; Luca Faes (IEEE Trans. Biomed. Eng., 2025)