Matteo Broggi

According to our database, Matteo Broggi authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Network reliability analysis through survival signature and machine learning techniques.

Yan Shi, Jasper Behrensdorf, Jiayan Zhou, Yue Hu, Matteo Broggi, Michael Beer

Reliab. Eng. Syst. Saf., February, 2024

Sampling and active learning methods for network reliability estimation using K-terminal spanning tree.

Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer

Reliab. Eng. Syst. Saf., 2024

Transport Map Coupling Filter for State-Parameter Estimation.

Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer

CoRR, 2024

2023

Imprecise Survival Signature Approximation Using Interval Predictor Models.

Jasper Behrensdorf, Matteo Broggi, Michael Beer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2021

Failure probability estimation of a class of series systems by multidomain Line Sampling.

Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi

Reliab. Eng. Syst. Saf., 2021

Efficient reliability analysis of complex systems in consideration of imprecision.

Julian Salomon, Niklas R. Winnewisser, Pengfei Wei, Matteo Broggi, Michael Beer

Reliab. Eng. Syst. Saf., 2021

Numerically efficient computation of the survival signature for the reliability analysis of large networks.

Jasper Behrensdorf, Tobias-Emanuel Regenhardt, Matteo Broggi, Michael Beer

Reliab. Eng. Syst. Saf., 2021

2020

Reliability and importance analysis of uncertain system with common cause failures based on survival signature.

Jinhua Mi, Michael Beer, Yan-Feng Li, Matteo Broggi, Yuhua Cheng

Reliab. Eng. Syst. Saf., 2020

2019

Sensitivity analysis of prior beliefs in advanced Bayesian networks.

Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2017

Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure.

Matteo Broggi, Matthias G. R. Faes, Edoardo Patelli, Yves Govers, David Moens, Michael Beer

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2015

Uncertainty Management in Multidisciplinary Design of Critical Safety Systems.

Edoardo Patelli, Diego A. Alvarez, Matteo Broggi, Marco de Angelis

J. Aerosp. Inf. Syst., 2015