Luigi Portinale
Zitiert von
Zitiert von
Improving the analysis of dependable systems by mapping fault trees into Bayesian networks
A Bobbio, L Portinale, M Minichino, E Ciancamerla
Reliability Engineering & System Safety 71 (3), 249-260, 2001
Bayesian networks in reliability
H Langseth, L Portinale
Reliability Engineering & System Safety 92 (1), 92-108, 2007
Cased-based reasoning for medical knowledge-based systems
R Schmidt, S Montani, R Bellazzi, L Portinale, L Gierl
International Journal of Medical Informatics 64 (2-3), 355-367, 2001
Radyban: A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks
S Montani, L Portinale, A Bobbio, D Codetta-Raiteri
Reliability Engineering & System Safety 93 (7), 922-932, 2008
Dynamic Bayesian networks for fault detection, identification, and recovery in autonomous spacecraft
D Codetta-Raiteri, L Portinale
IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (1), 13-24, 2014
Case-based retrieval to support the treatment of end stage renal failure patients
S Montani, L Portinale, G Leonardi, R Bellazzi, R Bellazzi
Artificial Intelligence in Medicine 37 (1), 31-42, 2006
Parametric fault tree for the dependability analysis of redundant systems and its high-level Petri net semantics
A Bobbio, G Franceschinis, R Gaeta, L Portinale
IEEE Transactions on Software Engineering 29 (3), 270-287, 2003
Comparing fault trees and bayesian networks for dependability analysis
A Pasquini, A Bobbio, L Portinale, M Minichino, E Ciancamerla
Computer Safety, Reliability and Security: 18th International Conference …, 1999
Supporting reliability engineers in exploiting the power of dynamic Bayesian networks
L Portinale, DC Raiteri, S Montani
International journal of approximate reasoning 51 (2), 179-195, 2010
A dynamic Bayesian network based framework to evaluate cascading effects in a power grid
D Codetta-Raiteri, A Bobbio, S Montani, L Portinale
Engineering Applications of Artificial Intelligence 25 (4), 683-697, 2012
Multi-modal diagnosis combining case-based and model-based reasoning: a formal and experimental analysis
L Portinale, D Magro, P Torasso
Artificial Intelligence 158 (2), 109-153, 2004
Bayesian networks for dependability analysis: an application to digital control reliability
L Portinale, A Bobbio
arXiv preprint arXiv:1301.6734, 2013
Dynamic Bayesian networks for modeling advanced fault tree features in dependability analysis
S Montani, L Portinale, A Bobbio
Proceedings of the sixteenth European conference on safety and reliability …, 2005
Behavioral Petri nets: a model for diagnostic knowledge representation and reasoning
L Portinale
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27 …, 1997
Diabetic patients management exploiting case-based reasoning techniques
S Montani, R Bellazzi, L Portinale, G d’Annunzio, S Fiocchi, M Stefanelli
Computer methods and programs in biomedicine 62 (3), 205-218, 2000
Using compiled knowledge to guide and focus abductive diagnosis
L Console, L Portinale, DT Dupré
IEEE Transactions on Knowledge and Data Engineering 8 (5), 690-706, 1996
A tool for automatically translating dynamic fault trees into dynamic Bayesian networks
S Montani, L Portinale, A Bobbio, M Varesio, D Codetta-Raiteri
RAMS'06. Annual Reliability and Maintainability Symposium, 2006., 434-441, 2006
Sequential application of heterogeneous models for the safetyanalysis of a control system: a case study
A Bobbio, E Ciancamerla, G Franceschinis, R Gaeta, M Minichino, ...
Reliability Engineering & System Safety 81 (3), 269-280, 2003
ADAPtER: an integrated diagnostic system combining case-based and abductive reasoning
L Portinale, P Torasso
Case-Based Reasoning Research and Development: First International …, 1995
Exploiting T-invariant analysis in diagnostic reasoning on a Petri net model
L Portinale
International Conference on Application and Theory of Petri Nets, 339-356, 1993
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