Matteo Broggi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 11

Top Topics

Active Learning

Reliability Analysis

Probability Estimation

Top Venues

Reliab. Eng. Syst. Saf.

J. Aerosp. Inf. Syst.

Publications

Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree. Reliab. Eng. Syst. Saf. 250 (2024)
Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer
Transport Map Coupling Filter for State-Parameter Estimation. CoRR (2024)
Yan Shi, Jasper Behrensdorf, Jiayan Zhou, Yue Hu, Matteo Broggi, Michael Beer
Network reliability analysis through survival signature and machine learning techniques. Reliab. Eng. Syst. Saf. 242 (2024)
Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree. CoRR (2024)
Jasper Behrensdorf, Matteo Broggi, Michael Beer
Imprecise Survival Signature Approximation Using Interval Predictor Models. SSCI (2023)
Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi
Failure probability estimation of a class of series systems by multidomain Line Sampling. Reliab. Eng. Syst. Saf. 213 (2021)
Julian Salomon, Niklas Winnewisser, Pengfei Wei, Matteo Broggi, Michael Beer
Efficient reliability analysis of complex systems in consideration of imprecision. Reliab. Eng. Syst. Saf. 216 (2021)
Jasper Behrensdorf, Tobias-Emanuel Regenhardt, Matteo Broggi, Michael Beer
Numerically efficient computation of the survival signature for the reliability analysis of large networks. Reliab. Eng. Syst. Saf. 216 (2021)
Jinhua Mi, Michael Beer, Yan-Feng Li, Matteo Broggi, Yuhua Cheng
Reliability and importance analysis of uncertain system with common cause failures based on survival signature. Reliab. Eng. Syst. Saf. 201 (2020)
Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes
Sensitivity analysis of prior beliefs in advanced Bayesian networks. SSCI (2019)
Matteo Broggi, Matthias G. R. Faes, Edoardo Patelli, Yves Govers, David Moens, Michael Beer
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure. SSCI (2017)
Edoardo Patelli, Diego A. Alvarez, Matteo Broggi, Marco de Angelis
Uncertainty Management in Multidisciplinary Design of Critical Safety Systems. J. Aerosp. Inf. Syst. 12 (1) (2015)