Pubblicazioni
Pubblicazioni trovate: 405
- A Bayesian Network Approach for the Interpretation of Cyber Attacks to Power Systems
Davide Cerotti, Daniele Codetta Raiteri, Giovanna Dondossola, Lavinia Egidi, Giuliana Franceschinis, Luigi Portinale, Roberta Terruggia
Apparso su Italian Conference on Cyber Security, CEUR Workshop Proceedings, vol. 2315, Ed. CEUR-WS, 2019 - Deriving Symbolic and Parametric Structural Relations in Symmetric Nets: Focus on Composition Operator
Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis
Apparso su TR-INF-2019-03-01-UNIPMN, Ed. DiSIT, Computer Science Institute, UPO, 2019 - Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets without Unfolding
Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Simone Pernice
Apparso su TR-INF-2018-07-03-UNIPMN, Ed. DiSIT, Computer Science Institute, UPO, 2018 - Mean field analysis for Continuous Time Bayesian Networks
Davide Cerotti, Daniele Codetta Raiteri
Apparso su Communications in Computer and Information Science, vol. 825, Ed. Springer, 2018, Pagine: 156-169 - Decision Networks for Security Risk Assessment of Critical Infrastructures
Daniele Codetta Raiteri, Luigi Portinale
Apparso su ACM Transactions on Internet Technology, vol. 18(3), Ed. ACM, 2018 - Investigating the role of ensemble learning in high-value wine identification
Luigi Portinale, Monica Locatelli
Apparso su Proc. 30th International Conference on Innovative Applications of Artificial Intelligence (IAAI18), Ed. AAAI Press, 2018 - Power (set) Description Logic
Laura Giordano, Alberto Policriti
Apparso su TR-INF-2018-02-02-UNIPMN, Ed. DiSIT, Computer Science Institute, UPO, 2018 - A Game-Theoretic Approach to Coalition Formation in Fog Provider Federations (Extended Version)
Cosimo Anglano, Massimo Canonico, Paolo Castagno, Marco Guazzone, Matteo Sereno
Apparso su TR-INF-2018-02-01-UNIPMN, Ed. DiSIT, Computer Science Institute, UPO, 2018 - Mean field analysis for Continuous Time Bayesian Networks
Davide Cerotti, Daniele Codetta Raiteri
Apparso su New Frontiers in Quantitative Methods in Informatics (InfQ), 2017 - Authenticity Assessment and Protection of High-Quality Nebbiolo-based Italian Wines through Machine Learning
Luigi Portinale, Marco Arlorio, Jean Daniel Coisson, Giorgio Leonardi, Fabiano Travaglia, Monica Locatelli
Apparso su Chemometrics and Intelligent Systems Laboratory, vol 171, Ed. Elsevier, 2017, Pagine: 182-197
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