Matteo Broggi

15 papers Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unified framework for hybrid aleatory and epistemic uncertainty propagation via decoupled multi-probability density evolution method.
Reliab. Eng. Syst. Saf.
Yi Luo, Meng-Ze Lyu, Matteo Broggi, Marko Thiele, Vasileios C. Fragkoulis, Michael Beer
2025 J jnl
Bayesian Updating of constitutive parameters under hybrid uncertainties with a novel surrogate model applied to biofilms.
CoRR
Lukas Fritsch, Hendrik Geisler, Jan Grashorn, Felix Klempt, Meisam Soleimani, Matteo Broggi, Philipp Junker, Michael Beer
2024 — conf
EnhancedBayesianNetworks.jl: A New Julia Framework for Multi Scenario Risk Assessment.
ICSRS
Andrea Perin, Matteo Broggi, Michael Beer
2024 J jnl
Network reliability analysis through survival signature and machine learning techniques.
Reliab. Eng. Syst. Saf.
Yan Shi, Jasper Behrensdorf, Jiayan Zhou, Yue Hu, Matteo Broggi, Michael Beer
2024 J jnl
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree.
CoRR
Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
2024 J jnl
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree.
Reliab. Eng. Syst. Saf.
Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
2024 J jnl
Transport Map Coupling Filter for State-Parameter Estimation.
CoRR
Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer
2023 — conf
Imprecise Survival Signature Approximation Using Interval Predictor Models.
SSCI
Jasper Behrensdorf, Matteo Broggi, Michael Beer
2021 J jnl
Efficient reliability analysis of complex systems in consideration of imprecision.
Reliab. Eng. Syst. Saf.
Julian Salomon, Niklas R. Winnewisser, Pengfei Wei, Matteo Broggi, Michael Beer
2021 J jnl
Failure probability estimation of a class of series systems by multidomain Line Sampling.
Reliab. Eng. Syst. Saf.
Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi
2021 J jnl
Numerically efficient computation of the survival signature for the reliability analysis of large networks.
Reliab. Eng. Syst. Saf.
Jasper Behrensdorf, Tobias-Emanuel Regenhardt, Matteo Broggi, Michael Beer
2020 J jnl
Reliability and importance analysis of uncertain system with common cause failures based on survival signature.
Reliab. Eng. Syst. Saf.
Jinhua Mi, Michael Beer, Yan-Feng Li, Matteo Broggi, Yuhua Cheng
2019 — conf
Sensitivity analysis of prior beliefs in advanced Bayesian networks.
SSCI
Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes
2017 — conf
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure.
SSCI
Matteo Broggi, Matthias G. R. Faes, Edoardo Patelli, Yves Govers, David Moens, Michael Beer
2015 J jnl
Uncertainty Management in Multidisciplinary Design of Critical Safety Systems.
J. Aerosp. Inf. Syst.
Edoardo Patelli, Diego A. Alvarez, Matteo Broggi, Marco de Angelis