Michael Beer

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 47

Top Topics

Credal Networks

Probability Estimation

Reliability Analysis

Top Venues

Reliab. Eng. Syst. Saf.

Adv. Eng. Softw.

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)
Wentao Mao, Wen Zhang, Ke Feng, Michael Beer, Chunsheng Yang
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines. Reliab. Eng. Syst. Saf. 242 (2024)
Danko J. Jerez, M. Chwala, Hector A. Jensen, Michael Beer
Optimal borehole placement for the design of rectangular shallow foundation systems under undrained soil conditions: A stochastic framework. Reliab. Eng. Syst. Saf. 242 (2024)
Fangqi Hong, Pengfei Wei, Jiangfeng Fu, Michael Beer
A sequential sampling-based Bayesian numerical method for reliability-based design optimization. Reliab. Eng. Syst. Saf. 244 (2024)
Lechang Yang, Xinyao Zhang, Zitong Lu, Yuqiang Fu, David Moens, Michael Beer
Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment. Reliab. Eng. Syst. Saf. 250 (2024)
Chao Dang, Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer
Bayesian active learning line sampling with log-normal process for rare-event probability estimation. Reliab. Eng. Syst. Saf. 246 (2024)
Chao Dang, Michael Beer
Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities. Reliab. Eng. Syst. Saf. 246 (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)
Lei Wang, Zhuo Hu, Chao Dang, Michael Beer
Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities. Reliab. Eng. Syst. Saf. 244 (2024)
Youbao Jiang, Xuyang Zhang, Michael Beer, Hao Zhou, Yu Leng
An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm. Reliab. Eng. Syst. Saf. 245 (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)
Yan Shi, Michael Beer
Physics-informed neural network classification framework for reliability analysis. Expert Syst. Appl. 258 (2024)
Kun Zhang, Ning Chen, Jian Liu, Shaohui Yin, Michael Beer
An efficient meta-model-based method for uncertainty propagation problems involving non-parameterized probability-boxes. Reliab. Eng. Syst. Saf. 238 (2023)
Jasper Behrensdorf, Matteo Broggi, Michael Beer
Imprecise Survival Signature Approximation Using Interval Predictor Models. SSCI (2023)
Xiukai Yuan, Yugeng Qian, Jingqiang Chen, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer
Global failure probability function estimation based on an adaptive strategy and combination algorithm. Reliab. Eng. Syst. Saf. 231 (2023)
Kang Liao, Yiping Wu, Fasheng Miao, Yutao Pan, Michael Beer
Probabilistic risk assessment of earth dams with spatially variable soil properties using random adaptive finite element limit analysis. Eng. Comput. 39 (5) (2023)
Yang Zhang, Jun Xu, Michael Beer
A single-loop time-variant reliability evaluation via a decoupling strategy and probability distribution reconstruction. Reliab. Eng. Syst. Saf. 232 (2023)
Danko J. Jerez, Hector A. Jensen, Michael Beer
An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters. Reliab. Eng. Syst. Saf. 225 (2022)
Jia-Shu Yang, Jianbing Chen, Michael Beer, Hector A. Jensen
An efficient approach for dynamic-reliability-based topology optimization of braced frame structures with probability density evolution method. Adv. Eng. Softw. 173 (2022)
Chao Dang, Pengfei Wei, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer
Parallel adaptive Bayesian quadrature for rare event estimation. Reliab. Eng. Syst. Saf. 225 (2022)
Caroline Morais, Hector Diego Estrada-Lugo, Silvia Tolo, Tiago Jacques, Raphael Moura, Michael Beer, Edoardo Patelli
Robust data-driven human reliability analysis using credal networks. Reliab. Eng. Syst. Saf. 218 (Part) (2022)
Kun Zhang, Ning Chen, Peng Zeng, Jian Liu, Michael Beer
An efficient reliability analysis method for structures with hybrid time-dependent uncertainty. Reliab. Eng. Syst. Saf. 228 (2022)
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)
Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer
Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics. Adv. Eng. Softw. 155 (2021)
Xiukai Yuan, Matthias G. R. Faes, Shaolong Liu, Marcos A. Valdebenito, Michael Beer
Efficient imprecise reliability analysis using the Augmented Space Integral. Reliab. Eng. Syst. Saf. 210 (2021)
Xiukai Yuan, Shaolong Liu, Marcos A. Valdebenito, Matthias G. R. Faes, Danko J. Jerez, Hector A. Jensen, Michael Beer
Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space. Adv. Eng. Softw. (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)
Michael Beer, Olga Kosheleva, Vladik Kreinovich
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. SSCI (2021)
Lechang Yang, Pidong Wang, Qiang Wang, Sifeng Bi, Rui Peng, Jasper Behrensdorf, Michael Beer
Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics. Reliab. Eng. Syst. Saf. 209 (2021)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
Why Spiking Neural Networks Are Efficient: A Theorem. IPMU (1) (2020)
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)
Marco De Angelis, Marco Behrendt, Liam A. Comerford, Yuanjin Zhang, Michael Beer
Forward interval propagation through the Fourier discrete transform. CoRR (2020)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria. IPMU (1) (2020)
Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes
Sensitivity analysis of prior beliefs in advanced Bayesian networks. SSCI (2019)
Marco Behrendt, Liam A. Comerford, Michael Beer
Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings. SSCI (2019)
Yi Zhang, António Topa Gomes, Michael Beer, Ingo Neumann, Udo Nackenhorst, Chul-Woo Kim
Reliability analysis with consideration of asymmetrically dependent variables: Discussion and application to geotechnical examples. Reliab. Eng. Syst. Saf. 185 (2019)
Michael Beer, Zitong Gong, Ingo Neumann, Songsak Sriboonchitta, Vladik Kreinovich
What If We Do Not Know Correlations? ECONVN (2018)
Silvia Tolo, Edoardo Patelli, Michael Beer
An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks. Adv. Eng. Softw. 115 (2018)
Tobias-Emanuel Regenhardt, Md Samdani Azad, Wonsiri Punurai, Michael Beer
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures. ICO (2018)
Liam A. Comerford, Michael Beer, Naiwei Lu
Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines. SSCI (2017)
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)
Michael Beer, Zitong Gong, Francisco Alejandro Diaz De la O, Vladik Kreinovich
How Accurate Are Expert Estimations of Correlation? SSCI (2017)
Geng Feng, Edoardo Patelli, Michael Beer, Frank P. A. Coolen
Imprecise system reliability and component importance based on survival signature. Reliab. Eng. Syst. Saf. 150 (2016)
Raphael Moura, Christoph Doell, Michael Beer, Rudolf Kruse
A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors. SSCI (2015)
Yuanjin Zhang, Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou
Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data. IWSSIP (2015)
Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou
Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis. CIES (2014)
Gabor Rebner, Michael Beer, Ekaterina Auer, Matthias Stein
Verified stochastic methods. Soft Comput. 17 (8) (2013)
Liam A. Comerford, Ioannis A. Kougioumtzoglou, Michael Beer
An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data. CIES (2013)
Michael Beer, Vladik Kreinovich
Interval or moments: which carry more information? Soft Comput. 17 (8) (2013)
Matthias Stein, Michael Beer, Vladik Kreinovich
Bayesian approach for inconsistent information. Inf. Sci. 245 (2013)
Gabor Rebner, Michael Beer
CUDA Accelerated Fault Tree Analysis with C-XSC. SUM (2012)
Rudolf Kruse, Michael Beer, Lotfi A. Zadeh
Introduction. Integr. Comput. Aided Eng. 18 (3) (2011)
Michael Beer
A Summary on Fuzzy Probability Theory. GrC (2010)
Michael Beer
Why Total Quality Management Programs Do Not Persist: The Role of Management Quality and Implications for Leading a TQM Transformation. Decis. Sci. 34 (4) (2003)