Michael Beer

76 papers Misc 1Journal 53Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dynamic reliability assessment method for multi-state manufacturing system by merging imprecise observational information.
Reliab. Eng. Syst. Saf.
Tudi Huang, Qin Zhang, Michael Beer, Yu Liu, Hong-Zhong Huang
2026 J jnl
Adaptive portfolio optimization-based metamodel method for the multi-armed bandit problem of learning function in slope reliability analysis.
Reliab. Eng. Syst. Saf.
Ningjie Li, Xinli Hu, Jinsong Huang, Michael Beer, Hongchao Zheng
2026 J jnl
Frequency reliability analysis of large-scale high-dimensional stochastic structures.
Reliab. Eng. Syst. Saf.
Zhibao Zheng, Benjamin Hirzinger, Michael Beer, Udo Nackenhorst
2026 J jnl
Path integral solution of the Li-Chen equation and its application to global dynamic reliability via time-variant extreme process.
Reliab. Eng. Syst. Saf.
Meng-Ze Lyu, Yi Luo, Shenghan Zhang, Michael Beer
2026 J jnl
Probabilistic failure analysis of stochastically excited nonlinear structural systems with fractional derivative elements.
Reliab. Eng. Syst. Saf.
Marco Behrendt, Vasileios C. Fragkoulis, George D. Pasparakis, Michael Beer
2026 J jnl
Reliability-Based Maintenance Optimization of Reusable Phased Mission Systems.
Reliab. Eng. Syst. Saf.
Xiang-Yu Li, Haochen Wang, He Li, Xiaoyan Xiong, Zaili Yang, Hong-Zhong Huang, Michael Beer, Jin Wang
2026 J jnl
Unified framework for hybrid aleatory and epistemic uncertainty propagation via decoupled multi-probability density evolution method.
Reliab. Eng. Syst. Saf.
Yi Luo, Meng-Ze Lyu, Matteo Broggi, Marko Thiele, Vasileios C. Fragkoulis, Michael Beer
2026 J jnl
Upper Generalization Bounds for Neural Oscillators.
CoRR
Zifeng Huang, Konstantin M. Zuev, Yong Xia, Michael Beer
2025 J jnl
Bayesian Updating of constitutive parameters under hybrid uncertainties with a novel surrogate model applied to biofilms.
CoRR
Lukas Fritsch, Hendrik Geisler, Jan Grashorn, Felix Klempt, Meisam Soleimani, Matteo Broggi, Philipp Junker, Michael Beer
2025 — conf
How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next.
IUKM (2)
Niklas R. Winnewisser, Michael Beer, Olga Kosheleva, Vladik Kreinovich
2025 J jnl
Physics-embedding multi-response regressor for time-variant system reliability assessment.
Reliab. Eng. Syst. Saf.
Lu-Kai Song, Fei Tao, Xue-Qin Li, Lechang Yang, Yu-Peng Wei, Michael Beer
2025 J jnl
Unsupervised graph transfer network with hybrid attention mechanism for fault diagnosis under variable operating conditions.
Reliab. Eng. Syst. Saf.
Zihao Lei, Feiyu Tian, Yu Su, Guangrui Wen, Ke Feng, Xuefeng Chen, Michael Beer, Chunsheng Yang
2025 J jnl
Upper Approximation Bounds for Neural Oscillators.
CoRR
Zifeng Huang, Konstantin M. Zuev, Yong Xia, Michael Beer
2025 — conf
What Is Optimal Granularity When Estimating Reliability of a Complex Engineering Systems.
IUKM (2)
Niklas R. Winnewisser, Michael Beer, Olga Kosheleva, Vladik Kreinovich
2024 J jnl
A sequential sampling-based Bayesian numerical method for reliability-based design optimization.
Reliab. Eng. Syst. Saf.
Fangqi Hong, Pengfei Wei, Jiangfeng Fu, Michael Beer
2024 J jnl
An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm.
Reliab. Eng. Syst. Saf.
Youbao Jiang, Xuyang Zhang, Michael Beer, Hao Zhou, Yu Leng
2024 J jnl
Bayesian active learning line sampling with log-normal process for rare-event probability estimation.
Reliab. Eng. Syst. Saf.
Chao Dang, Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer
2024 — conf
EnhancedBayesianNetworks.jl: A New Julia Framework for Multi Scenario Risk Assessment.
ICSRS
Andrea Perin, Matteo Broggi, Michael Beer
2024 — conf
From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing.
IPMU (1)
Niklas R. Winnewisser, Michael Beer, Vladik Kreinovich, Olga Kosheleva
2024 J jnl
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems.
CoRR
Wang-Ji Yan, Lin-Feng Mei, Jiang Mo, Costas Papadimitriou, Ka-Veng Yuen, Michael Beer
2024 J jnl
Network reliability analysis through survival signature and machine learning techniques.
Reliab. Eng. Syst. Saf.
Yan Shi, Jasper Behrensdorf, Jiayan Zhou, Yue Hu, Matteo Broggi, Michael Beer
2024 J jnl
Optimal borehole placement for the design of rectangular shallow foundation systems under undrained soil conditions: A stochastic framework.
Reliab. Eng. Syst. Saf.
Danko J. Jerez, M. Chwala, Hector A. Jensen, Michael Beer
2024 J jnl
Physics-informed neural network classification framework for reliability analysis.
Expert Syst. Appl.
Yan Shi, Michael Beer
2024 J jnl
Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities.
Reliab. Eng. Syst. Saf.
Lei Wang, Zhuo Hu, Chao Dang, Michael Beer
2024 J jnl
Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment.
Reliab. Eng. Syst. Saf.
Lechang Yang, Xinyao Zhang, Zitong Lu, Yuqiang Fu, David Moens, Michael Beer
2024 J jnl
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree.
CoRR
Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
2024 J jnl
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree.
Reliab. Eng. Syst. Saf.
Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
2024 J jnl
Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities.
Reliab. Eng. Syst. Saf.
Chao Dang, Michael Beer
2024 J jnl
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines.
Reliab. Eng. Syst. Saf.
Wentao Mao, Wen Zhang, Ke Feng, Michael Beer, Chunsheng Yang
2024 J jnl
Transport Map Coupling Filter for State-Parameter Estimation.
CoRR
Jan Grashorn, Matteo Broggi, Ludovic Chamoin, Michael Beer
2023 J jnl
A single-loop time-variant reliability evaluation via a decoupling strategy and probability distribution reconstruction.
Reliab. Eng. Syst. Saf.
Yang Zhang, Jun Xu, Michael Beer
2023 J jnl
An efficient meta-model-based method for uncertainty propagation problems involving non-parameterized probability-boxes.
Reliab. Eng. Syst. Saf.
Kun Zhang, Ning Chen, Jian Liu, Shaohui Yin, Michael Beer
2023 — ch.
Fourier Transform and Other Quadratic Problems Under Interval Uncertainty.
Decision Making Under Uncertainty and Constraints
Oscar Galindo, Christopher Ibarra, Vladik Kreinovich, Michael Beer
2023 J jnl
Global failure probability function estimation based on an adaptive strategy and combination algorithm.
Reliab. Eng. Syst. Saf.
Xiukai Yuan, Yugeng Qian, Jingqiang Chen, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer
2023 — conf
Imprecise Survival Signature Approximation Using Interval Predictor Models.
SSCI
Jasper Behrensdorf, Matteo Broggi, Michael Beer
2023 J jnl
Probabilistic risk assessment of earth dams with spatially variable soil properties using random adaptive finite element limit analysis.
Eng. Comput.
Kang Liao, Yiping Wu, FaSheng Miao, Yutao Pan, Michael Beer
2022 J jnl
An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters.
Reliab. Eng. Syst. Saf.
Danko J. Jerez, Hector A. Jensen, Michael Beer
2022 J jnl
An efficient approach for dynamic-reliability-based topology optimization of braced frame structures with probability density evolution method.
Adv. Eng. Softw.
Jia-Shu Yang, Jianbing Chen, Michael Beer, Hector A. Jensen
2022 J jnl
An efficient reliability analysis method for structures with hybrid time-dependent uncertainty.
Reliab. Eng. Syst. Saf.
Kun Zhang, Ning Chen, Peng Zeng, Jian Liu, Michael Beer
2022 J jnl
Parallel adaptive Bayesian quadrature for rare event estimation.
Reliab. Eng. Syst. Saf.
Chao Dang, Pengfei Wei, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer
2022 J jnl
Robust data-driven human reliability analysis using credal networks.
Reliab. Eng. Syst. Saf.
Caroline Morais, Hector Diego Estrada-Lugo, Silvia Tolo, Tiago Jacques, Raphael Moura, Michael Beer, Edoardo Patelli
2021 J jnl
Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics.
Adv. Eng. Softw.
Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer
2021 J jnl
Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space.
Adv. Eng. Softw.
Xiukai Yuan, Shaolong Liu, Marcos A. Valdebenito, Matthias G. R. Faes, Danko J. Jerez, Hector A. Jensen, Michael Beer
2021 J jnl
Efficient imprecise reliability analysis using the Augmented Space Integral.
Reliab. Eng. Syst. Saf.
Xiukai Yuan, Matthias G. R. Faes, Shaolong Liu, Marcos A. Valdebenito, Michael Beer
2021 J jnl
Efficient reliability analysis of complex systems in consideration of imprecision.
Reliab. Eng. Syst. Saf.
Julian Salomon, Niklas R. Winnewisser, Pengfei Wei, Matteo Broggi, Michael Beer
2021 J jnl
Failure probability estimation of a class of series systems by multidomain Line Sampling.
Reliab. Eng. Syst. Saf.
Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi
2021 J jnl
Numerically efficient computation of the survival signature for the reliability analysis of large networks.
Reliab. Eng. Syst. Saf.
Jasper Behrensdorf, Tobias-Emanuel Regenhardt, Matteo Broggi, Michael Beer
2021 J jnl
Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics.
Reliab. Eng. Syst. Saf.
Lechang Yang, Pidong Wang, Qiang Wang, Sifeng Bi, Rui Peng, Jasper Behrensdorf, Michael Beer
2021 — conf
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields.
SSCI
Michael Beer, Olga Kosheleva, Vladik Kreinovich
2020 J jnl
Forward interval propagation through the Fourier discrete transform.
CoRR
Marco de Angelis, Marco Behrendt, Liam A. Comerford, Yuanjin Zhang, Michael Beer
2020 J jnl
Reliability and importance analysis of uncertain system with common cause failures based on survival signature.
Reliab. Eng. Syst. Saf.
Jinhua Mi, Michael Beer, Yan-Feng Li, Matteo Broggi, Yuhua Cheng
2020 — conf
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria.
IPMU (1)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2020 — conf
Why Spiking Neural Networks Are Efficient: A Theorem.
IPMU (1)
Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2019 — conf
Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings.
SSCI
Marco Behrendt, Liam A. Comerford, Michael Beer
2019 J jnl
Reliability analysis with consideration of asymmetrically dependent variables: Discussion and application to geotechnical examples.
Reliab. Eng. Syst. Saf.
Yi Zhang, António Topa Gomes, Michael Beer, Ingo Neumann, Udo Nackenhorst, Chul-Woo Kim
2019 — conf
Sensitivity analysis of prior beliefs in advanced Bayesian networks.
SSCI
Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes
2018 — conf
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures.
ICO
Tobias-Emanuel Regenhardt, Md Samdani Azad, Wonsiri Punurai, Michael Beer
2018 J jnl
An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks.
Adv. Eng. Softw.
Silvia Tolo, Edoardo Patelli, Michael Beer
2018 — conf
What If We Do Not Know Correlations?
ECONVN
Michael Beer, Zitong Gong, Ingo Neumann, Songsak Sriboonchitta, Vladik Kreinovich
2017 — conf
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure.
SSCI
Matteo Broggi, Matthias G. R. Faes, Edoardo Patelli, Yves Govers, David Moens, Michael Beer
2017 — conf
How Accurate Are Expert Estimations of Correlation?
SSCI
Michael Beer, Zitong Gong, Francisco Alejandro Diaz De la O, Vladik Kreinovich
2017 — conf
Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines.
SSCI
Liam A. Comerford, Michael Beer, Naiwei Lu
2016 J jnl
Imprecise system reliability and component importance based on survival signature.
Reliab. Eng. Syst. Saf.
Geng Feng, Edoardo Patelli, Michael Beer, Frank P. A. Coolen
2015 — conf
A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors.
SSCI
Raphael Moura, Christoph Doell, Michael Beer, Rudolf Kruse
2015 — conf
Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data.
IWSSIP
Yuanjin Zhang, Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou
2015 J jnl
Special Issue: Civil-Comp.
Adv. Eng. Softw.
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
2014 — conf
Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis.
CIES
Liam A. Comerford, Michael Beer, Ioannis A. Kougioumtzoglou
2013 — conf
An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data.
CIES
Liam A. Comerford, Ioannis A. Kougioumtzoglou, Michael Beer
2013 J jnl
Bayesian approach for inconsistent information.
Inf. Sci.
Matthias Stein, Michael Beer, Vladik Kreinovich
2013 J jnl
Interval or moments: which carry more information?
Soft Comput.
Michael Beer, Vladik Kreinovich
2013 J jnl
Verified stochastic methods.
Soft Comput.
Gabor Rebner, Michael Beer, Ekaterina Auer, Matthias Stein
2012 — conf
CUDA Accelerated Fault Tree Analysis with C-XSC.
SUM
Gabor Rebner, Michael Beer
2011 J jnl
Introduction.
Integr. Comput. Aided Eng.
Rudolf Kruse, Michael Beer, Lotfi A. Zadeh
2010 Misc conf
A Summary on Fuzzy Probability Theory.
GrC
Michael Beer
2009 — ch.
Fuzzy Probability Theory.
Encyclopedia of Complexity and Systems Science
Michael Beer
2003 J jnl
Why Total Quality Management Programs Do Not Persist: The Role of Management Quality and Implications for Leading a TQM Transformation.
Decis. Sci.
Michael Beer