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)

Fuzzy Probability Theory. - Michael Beer (Encyclopedia of Complexity and Systems Science, 2009)

A Summary on Fuzzy Probability Theory. - Michael Beer (GrC, 2010)

Introduction. - Rudolf Kruse; Michael Beer; Lotfi A. Zadeh (Integr. Comput. Aided Eng., 2011)

CUDA Accelerated Fault Tree Analysis with C-XSC. - Gabor Rebner; Michael Beer (SUM, 2012)

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 (CIES, 2013)

Bayesian approach for inconsistent information. - Matthias Stein; Michael Beer; Vladik Kreinovich (Inf. Sci., 2013)

Interval or moments: which carry more information? - Michael Beer; Vladik Kreinovich (Soft Comput., 2013)

Verified stochastic methods. - Gabor Rebner; Michael Beer; Ekaterina Auer; Matthias Stein (Soft Comput., 2013)

Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis. - Liam A. Comerford; Michael Beer; Ioannis A. Kougioumtzoglou (CIES, 2014)

Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data. - Yuanjin Zhang; Liam A. Comerford; Michael Beer; Ioannis A. Kougioumtzoglou (IWSSIP, 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 (SSCI, 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)

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)

How Accurate Are Expert Estimations of Correlation? - Michael Beer; Zitong Gong; Francisco Alejandro Diaz De la O; Vladik Kreinovich (SSCI, 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 (SSCI, 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 (SSCI, 2017)

What If We Do Not Know Correlations? - Michael Beer; Zitong Gong; Ingo Neumann; Songsak Sriboonchitta; Vladik Kreinovich (ECONVN, 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)

An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks. - Silvia Tolo; Edoardo Patelli; Michael Beer (Adv. Eng. Softw., 2018)

Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings. - Marco Behrendt; Liam A. Comerford; Michael Beer (SSCI, 2019)

Sensitivity analysis of prior beliefs in advanced Bayesian networks. - Longxue He; Michael Beer; Matteo Broggi; Pengfei Wei 002; António Topa Gomes (SSCI, 2019)

Reliability analysis with consideration of asymmetrically dependent variables: Discussion and application to geotechnical examples. - Yi Zhang 019; António Topa Gomes; Michael Beer; Ingo Neumann; Udo Nackenhorst; Chul-Woo Kim (Reliab. Eng. Syst. Saf., 2019)

Why Spiking Neural Networks Are Efficient: A Theorem. - Michael Beer; Julio C. Urenda; Olga Kosheleva; Vladik Kreinovich (IPMU (1), 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 (IPMU (1), 2020)

Forward interval propagation through the Fourier discrete transform. - Marco de Angelis 002; Marco Behrendt; Liam A. Comerford; Yuanjin Zhang; Michael Beer (CoRR, 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 001 (Reliab. Eng. Syst. Saf., 2020)

Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. - Michael Beer; Olga Kosheleva; Vladik Kreinovich (SSCI, 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 002; Michael Beer (Adv. Eng. Softw., 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)

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)

Efficient reliability analysis of complex systems in consideration of imprecision. - Julian Salomon; Niklas R. Winnewisser; Pengfei Wei 002; Matteo Broggi; 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 002; Jingwen Song; Michael Beer; Matteo Broggi (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)

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)

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)

Parallel adaptive Bayesian quadrature for rare event estimation. - Chao Dang; Pengfei Wei 002; Matthias G. R. Faes; Marcos A. Valdebenito; Michael Beer (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)

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 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)

Fourier Transform and Other Quadratic Problems Under Interval Uncertainty. - Oscar Galindo; Christopher Ibarra; Vladik Kreinovich; Michael Beer (Decision Making Under Uncertainty and Constraints, 2023)

Imprecise Survival Signature Approximation Using Interval Predictor Models. - Jasper Behrensdorf; Matteo Broggi; Michael Beer (SSCI, 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)

A single-loop time-variant reliability evaluation via a decoupling strategy and probability distribution reconstruction. - Yang Zhang 121; Jun Xu; Michael Beer (Reliab. Eng. Syst. Saf., 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., 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., 2023)

EnhancedBayesianNetworks.jl: A New Julia Framework for Multi Scenario Risk Assessment. - Andrea Perin; Matteo Broggi; Michael Beer (ICSRS, 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 (IPMU (1), 2024)

Transport Map Coupling Filter for State-Parameter Estimation. - Jan Grashorn; Matteo Broggi; Ludovic Chamoin; Michael Beer (CoRR, 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)

Physics-informed neural network classification framework for reliability analysis. - Yan Shi; Michael Beer (Expert Syst. Appl., 2024)

Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities. - Chao Dang; 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 002; Jingwen Song; 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 002; Yan Shi 014; Jinxing Liu; Matteo Broggi; Michael Beer (Reliab. Eng. Syst. Saf., 2024)

A sequential sampling-based Bayesian numerical method for reliability-based design optimization. - Fangqi Hong; Pengfei Wei 002; Jiangfeng Fu; 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)

Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities. - Lei Wang; Zhuo Hu; Chao Dang; Michael Beer (Reliab. Eng. Syst. Saf., 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)

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., 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., 2024)

Network reliability analysis through survival signature and machine learning techniques. - Yan Shi 014; Jasper Behrensdorf; Jiayan Zhou; Yue Hu; Matteo Broggi; Michael Beer (Reliab. Eng. Syst. Saf., 2024)

What Is Optimal Granularity When Estimating Reliability of a Complex Engineering Systems. - Niklas R. Winnewisser; Michael Beer; Olga Kosheleva; Vladik Kreinovich (IUKM (2), 2025)

How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next. - Niklas R. Winnewisser; Michael Beer; Olga Kosheleva; Vladik Kreinovich (IUKM (2), 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 002; Michael Beer; Chunsheng Yang (Reliab. Eng. Syst. Saf., 2025)

Physics-embedding multi-response regressor for time-variant system reliability assessment. - Lu-Kai Song; Fei Tao; Xue-Qin Li; Lechang Yang; Yu-Peng Wei; Michael Beer (Reliab. Eng. Syst. Saf., 2025)