Michael Beer
Orcid: 0000-0002-0611-0345
According to our database1,
Michael Beer
authored at least 48 papers
between 2003 and 2024.
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Bibliography
2024
Network reliability analysis through survival signature and machine learning techniques.
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.
Reliab. Eng. Syst. Saf., February, 2024
Optimal borehole placement for the design of rectangular shallow foundation systems under undrained soil conditions: A stochastic framework.
Reliab. Eng. Syst. Saf., February, 2024
2023
An efficient meta-model-based method for uncertainty propagation problems involving non-parameterized probability-boxes.
Reliab. Eng. Syst. Saf., October, 2023
Probabilistic risk assessment of earth dams with spatially variable soil properties using random adaptive finite element limit analysis.
Eng. Comput., October, 2023
A single-loop time-variant reliability evaluation via a decoupling strategy and probability distribution reconstruction.
Reliab. Eng. Syst. Saf., April, 2023
Global failure probability function estimation based on an adaptive strategy and combination algorithm.
Reliab. Eng. Syst. Saf., 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
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.
Reliab. Eng. Syst. Saf., 2022
Reliab. Eng. Syst. Saf., 2022
An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters.
Reliab. Eng. Syst. Saf., 2022
Reliab. Eng. Syst. Saf., 2022
An efficient approach for dynamic-reliability-based topology optimization of braced frame structures with probability density evolution method.
Adv. Eng. Softw., 2022
2021
Reliab. Eng. Syst. Saf., 2021
Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics.
Reliab. Eng. Syst. Saf., 2021
Failure probability estimation of a class of series systems by multidomain Line Sampling.
Reliab. Eng. Syst. Saf., 2021
Reliab. Eng. Syst. Saf., 2021
Numerically efficient computation of the survival signature for the reliability analysis of large networks.
Reliab. Eng. Syst. Saf., 2021
Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space.
Adv. Eng. Softw., 2021
Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics.
Adv. Eng. Softw., 2021
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields.
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.
Reliab. Eng. Syst. Saf., 2020
Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
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.
Reliab. Eng. Syst. Saf., 2019
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.
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.
Adv. Eng. Softw., 2018
A Novel Application of System Survival Signature in Reliability Assessment of Offshore Structures.
ICO, 2018
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.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
Reliab. Eng. Syst. Saf., 2016
2015
A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data.
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.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014
2013
An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013
2012
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012
2011
2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
2009
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.
Decis. Sci., 2003