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Journal Articles
- 2024
[j7]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: 109806 (2024)- [j6]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: 110309 (2024) - 2021
- [j5]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: 107673 (2021) - [j4]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: 107935 (2021) - [j3]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: 107972 (2021) - 2020
- [j2]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: 106988 (2020) - 2015
- [j1]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): 140-169 (2015)
Conference and Workshop Papers
- 2023
- [c3]Jasper Behrensdorf, Matteo Broggi, Michael Beer:
Imprecise Survival Signature Approximation Using Interval Predictor Models. SSCI 2023: 506-511 - 2019
- [c2]Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes:
Sensitivity analysis of prior beliefs in advanced Bayesian networks. SSCI 2019: 776-783 - 2017
- [c1]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: 1-8
Informal and Other Publications
- 2024
- [i2]Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer:
Transport Map Coupling Filter for State-Parameter Estimation. CoRR abs/2407.02198 (2024) - [i1]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 abs/2407.11053 (2024)
Coauthor Index
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