Michael Beer

According to our database, Michael Beer authored at least 61 papers between 2003 and 2025.

Collaborative distances:

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

2025

Unsupervised graph transfer network with hybrid attention mechanism for fault diagnosis under variable operating conditions.

Zihao Lei, Feiyu Tian, Yu Su, Guangrui Wen, Ke Feng, Xuefeng Chen, Michael Beer, Chunsheng Yang

Reliab. Eng. Syst. Saf., 2025

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

Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines.

Wentao Mao, Wen Zhang, Ke Feng, Michael Beer, Chunsheng Yang

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

Optimal borehole placement for the design of rectangular shallow foundation systems under undrained soil conditions: A stochastic framework.

Danko J. Jerez, M. Chwala, Hector A. Jensen, Michael Beer

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

Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment.

Lechang Yang, Xinyao Zhang, Zitong Lu, Yuqiang Fu, David Moens, Michael Beer

Reliab. Eng. Syst. Saf., 2024

Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities.

Lei Wang, Zhuo Hu, Chao Dang, Michael Beer

Reliab. Eng. Syst. Saf., 2024

An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm.

Youbao Jiang, Xuyang Zhang, Michael Beer, Hao Zhou, Yu Leng

Reliab. Eng. Syst. Saf., 2024

A sequential sampling-based Bayesian numerical method for reliability-based design optimization.

Fangqi Hong, Pengfei Wei, Jiangfeng Fu, Michael Beer

Reliab. Eng. Syst. Saf., 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

Bayesian active learning line sampling with log-normal process for rare-event probability estimation.

Chao Dang, Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer

Reliab. Eng. Syst. Saf., 2024

Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities.

Chao Dang, Michael Beer

Reliab. Eng. Syst. Saf., 2024

Physics-informed neural network classification framework for reliability analysis.

Yan Shi, Michael Beer

Expert Syst. Appl., 2024

Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems.

Wang-Ji Yan, Lin-Feng Mei, Jiang Mo, Costas Papadimitriou, Ka-Veng Yuen, Michael Beer

CoRR, 2024

Transport Map Coupling Filter for State-Parameter Estimation.

Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer

CoRR, 2024

From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing.

Niklas R. Winnewisser, Michael Beer, Vladik Kreinovich, Olga Kosheleva

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2024

2023

An efficient meta-model-based method for uncertainty propagation problems involving non-parameterized probability-boxes.

Kun Zhang, Ning Chen, Jian Liu, Shaohui Yin, Michael Beer

Reliab. Eng. Syst. Saf., October, 2023

Probabilistic risk assessment of earth dams with spatially variable soil properties using random adaptive finite element limit analysis.

Kang Liao, Yiping Wu, Fasheng Miao, Yutao Pan, Michael Beer

Eng. Comput., October, 2023

A single-loop time-variant reliability evaluation via a decoupling strategy and probability distribution reconstruction.

Yang Zhang, Jun Xu, Michael Beer

Reliab. Eng. Syst. Saf., April, 2023

Global failure probability function estimation based on an adaptive strategy and combination algorithm.

Xiukai Yuan, Yugeng Qian, Jingqiang Chen, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer

Reliab. Eng. Syst. Saf., 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

Fourier Transform and Other Quadratic Problems Under Interval Uncertainty.

Oscar Galindo, Christopher Ibarra, Vladik Kreinovich, Michael Beer

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

2022

An efficient reliability analysis method for structures with hybrid time-dependent uncertainty.

Kun Zhang, Ning Chen, Peng Zeng, Jian Liu, Michael Beer

Reliab. Eng. Syst. Saf., 2022

Robust data-driven human reliability analysis using credal networks.

Caroline Morais, Hector Diego Estrada-Lugo, Silvia Tolo, Tiago Jacques, Raphael Moura, Michael Beer, Edoardo Patelli

Reliab. Eng. Syst. Saf., 2022

An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters.

Danko J. Jerez, Hector A. Jensen, Michael Beer

Reliab. Eng. Syst. Saf., 2022

Parallel adaptive Bayesian quadrature for rare event estimation.

Chao Dang, Pengfei Wei, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer

Reliab. Eng. Syst. Saf., 2022

An efficient approach for dynamic-reliability-based topology optimization of braced frame structures with probability density evolution method.

Jia-Shu Yang, Jianbing Chen, Michael Beer, Hector A. Jensen

Adv. Eng. Softw., 2022

2021

Efficient imprecise reliability analysis using the Augmented Space Integral.

Xiukai Yuan, Matthias G. R. Faes, Shaolong Liu, Marcos A. Valdebenito, Michael Beer

Reliab. Eng. Syst. Saf., 2021

Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics.

Lechang Yang, Pidong Wang, Qiang Wang, Sifeng Bi, Rui Peng, Jasper Behrensdorf, Michael Beer

Reliab. Eng. Syst. Saf., 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

Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space.

Xiukai Yuan, Shaolong Liu, Marcos A. Valdebenito, Matthias G. R. Faes, Danko J. Jerez, Hector A. Jensen, Michael Beer

Adv. Eng. Softw., 2021

Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics.

Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer

Adv. Eng. Softw., 2021

Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields.

Michael Beer, Olga Kosheleva, Vladik Kreinovich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Forward interval propagation through the Fourier discrete transform.

Marco de Angelis, Marco Behrendt, Liam A. Comerford, Yuanjin Zhang, Michael Beer

CoRR, 2020

Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria.

Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Why Spiking Neural Networks Are Efficient: A Theorem.

Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

Reliability analysis with consideration of asymmetrically dependent variables: Discussion and application to geotechnical examples.

Yi Zhang, António Topa Gomes, Michael Beer, Ingo Neumann, Udo Nackenhorst, Chul-Woo Kim

Reliab. Eng. Syst. Saf., 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

Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings.

Marco Behrendt, Liam A. Comerford, Michael Beer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks.

Silvia Tolo, Edoardo Patelli, Michael Beer

Adv. Eng. Softw., 2018

A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures.

Tobias-Emanuel Regenhardt, Md Samdani Azad, Wonsiri Punurai, Michael Beer

ICO, 2018

What If We Do Not Know Correlations?

Michael Beer, Zitong Gong, Ingo Neumann, Songsak Sriboonchitta, Vladik Kreinovich

Proceedings of the Econometrics for Financial Applications, 2018

2017

Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines.

Liam A. Comerford, Michael Beer, Naiwei Lu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 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

How Accurate Are Expert Estimations of Correlation?

Michael Beer, Zitong Gong, Francisco Alejandro Diaz De la O, Vladik Kreinovich

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

2016

Imprecise system reliability and component importance based on survival signature.

Geng Feng, Edoardo Patelli, Michael Beer, Frank P. A. Coolen

Reliab. Eng. Syst. Saf., 2016

2015

Special Issue: Civil-Comp.

Yiannis Tsompanakis, Peter Iványi, André Teófilo Beck, Michael Beer, L. F. Costa Neves, Maria Girardi, H. A. J. Jensen, Kurt Marti, N. L. Rizzi, J. G. Santos da Silva, Alexandros A. Taflanidis, Barry H. V. Topping

Adv. Eng. Softw., 2015

A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors.

Raphael Moura, Christoph Doell, Michael Beer, Rudolf Kruse

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data.

Yuanjin Zhang, Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou

Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

2014

Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis.

Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013

Verified stochastic methods.

Gabor Rebner, Michael Beer, Ekaterina Auer, Matthias Stein

Soft Comput., 2013

Interval or moments: which carry more information?

Michael Beer, Vladik Kreinovich

Soft Comput., 2013

Bayesian approach for inconsistent information.

Matthias Stein, Michael Beer, Vladik Kreinovich

Inf. Sci., 2013

An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data.

Liam A. Comerford, Ioannis A. Kougioumtzoglou, Michael Beer

Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

2012

CUDA Accelerated Fault Tree Analysis with C-XSC.

Gabor Rebner, Michael Beer

Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

2011

Introduction.

Rudolf Kruse, Michael Beer, Lotfi A. Zadeh

Integr. Comput. Aided Eng., 2011

2010

A Summary on Fuzzy Probability Theory.

Michael Beer

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

Fuzzy Probability Theory.

Michael Beer

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

2003

Why Total Quality Management Programs Do Not Persist: The Role of Management Quality and Implications for Leading a TQM Transformation.

Michael Beer

Decis. Sci., 2003