Topological identification in networks of dynamical systems D Materassi, G Innocenti IEEE Transactions on Automatic Control 55 (8), 1860-1871, 2010 | 214 | 2010 |
On the problem of reconstructing an unknown topology via locality properties of the wiener filter D Materassi, MV Salapaka IEEE transactions on automatic control 57 (7), 1765-1777, 2012 | 199 | 2012 |
Identification of network components in presence of unobserved nodes D Materassi, MV Salapaka 2015 54th IEEE Conference on Decision and Control (CDC), 1563-1568, 2015 | 57 | 2015 |
Unveiling the connectivity structure of financial networks via high-frequency analysis D Materassi, G Innocenti Physica A: Statistical Mechanics and its Applications 388 (18), 3866-3878, 2009 | 50 | 2009 |
Signal selection for estimation and identification in networks of dynamic systems: a graphical model approach D Materassi, MV Salapaka IEEE Transactions on Automatic Control 65 (10), 4138-4153, 2019 | 49 | 2019 |
Notions of separation in graphs of dynamical systems D Materassi, MV Salapaka IFAC Proceedings Volumes 47 (3), 2341-2346, 2014 | 48 | 2014 |
Model identification of a network as compressing sensing D Materassi, G Innocenti, L Giarré, M Salapaka Systems & Control Letters 62 (8), 664-672, 2013 | 47 | 2013 |
Detection of steps in single molecule data T Aggarwal, D Materassi, R Davison, T Hays, M Salapaka Cellular and molecular bioengineering 5, 14-31, 2012 | 44 | 2012 |
Network reconstruction of dynamical polytrees with unobserved nodes D Materassi, MV Salapaka 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 4629-4634, 2012 | 41 | 2012 |
Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid S Talukdar, D Deka, D Materassi, M Salapaka 2017 American Control Conference (ACC), 813-818, 2017 | 36 | 2017 |
Time scaling of chaotic systems: Application to secure communications D Materassi, M Basso International Journal of Bifurcation and Chaos 18 (02), 567-575, 2008 | 30 | 2008 |
Conditions for handling confounding variables in dynamic networks A Dankers, PMJ Van den Hof, D Materassi, HHM Weerts IFAC-PapersOnLine 50 (1), 3983-3988, 2017 | 26 | 2017 |
Reconstruction of directed acyclic networks of dynamical systems D Materassi, MV Salapaka 2013 American Control Conference, 4687-4692, 2013 | 26 | 2013 |
Physics informed topology learning in networks of linear dynamical systems S Talukdar, D Deka, H Doddi, D Materassi, M Chertkov, MV Salapaka Automatica 112, 108705, 2020 | 25 | 2020 |
Optimal selection of observations for identification of multiple modules in dynamic networks S Jahandari, D Materassi IEEE Transactions on Automatic Control 67 (9), 4703-4716, 2022 | 24 | 2022 |
Relations between structure and estimators in networks of dynamical systems D Materassi, MV Salapaka, L Giarrè 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 23 | 2011 |
A modeling approach to multivariate analysis and clusterization theory G Innocenti, D Materassi Journal of physics A: mathematical and theoretical 41 (20), 205101, 2008 | 22 | 2008 |
Sufficient and necessary graphical conditions for miso identification in networks with observational data S Jahandari, D Materassi IEEE Transactions on Automatic Control 67 (11), 5932-5947, 2021 | 21 | 2021 |
Granger-causality meets causal inference in graphical models: Learning networks via non-invasive observations M Dimovska, D Materassi 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5268-5273, 2017 | 21 | 2017 |
Blind learning of tree network topologies in the presence of hidden nodes F Sepehr, D Materassi IEEE Transactions on Automatic Control 65 (3), 1014-1028, 2019 | 20 | 2019 |