Daniel Straub

According to our database, Daniel Straub authored at least 39 papers between 2006 and 2024.

Collaborative distances:

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

2024

POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance.

Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi

Mach. Learn., October, 2024

A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance.

Antonios Kamariotis, Konstantinos Tatsis, Eleni N. Chatzi, Kai Goebel, Daniel Straub

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

Bayesian improved cross entropy method with categorical mixture models for network reliability assessment.

Jianpeng Chan, Iason Papaioannou, Daniel Straub

Reliab. Eng. Syst. Saf., 2024

Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems.

Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden

CoRR, 2024

2023

Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems.

Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi

Reliab. Eng. Syst. Saf., November, 2023

Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method.

Max Ehre, Rafael Flock, Martin Fußeder, Iason Papaioannou, Daniel Straub

SIAM/ASA J. Uncertain. Quantification, March, 2023

Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling.

Michael Engel, Oindrila Kanjilal, Iason Papaioannou, Daniel Straub

J. Comput. Phys., 2023

An investigation of belief-free DRL and MCTS for inspection and maintenance planning.

Daniel Koutas, Elizabeth Bismut, Daniel Straub

CoRR, 2023

2022

Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis.

Max Ehre, Iason Papaioannou, Bruno Sudret, Daniel Straub

SIAM J. Sci. Comput., 2022

Decision-theoretic reliability sensitivity.

Daniel Straub, Max Ehre, Iason Papaioannou

Reliab. Eng. Syst. Saf., 2022

Optimal life-cycle mitigation of fatigue failure risk for structural systems.

Jorge Mendoza, Elizabeth Bismut, Daniel Straub, Jochen Köhler

Reliab. Eng. Syst. Saf., 2022

An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states.

Jianpeng Chan, Iason Papaioannou, Daniel Straub

Reliab. Eng. Syst. Saf., 2022

Reliability-based inspection and maintenance planning of a nuclear feeder piping system.

Elizabeth Bismut, Mahesh D. Pandey, Daniel Straub

Reliab. Eng. Syst. Saf., 2022

Bayesian post-processing of Monte Carlo simulation in reliability analysis.

Wolfgang Betz, Iason Papaioannou, Daniel Straub

Reliab. Eng. Syst. Saf., 2022

2021

Variance-based reliability sensitivity analysis and the FORM α-factors.

Iason Papaioannou, Daniel Straub

Reliab. Eng. Syst. Saf., 2021

Optimal adaptive inspection and maintenance planning for deteriorating structural systems.

Elizabeth Bismut, Daniel Straub

Reliab. Eng. Syst. Saf., 2021

Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation.

Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub

SIAM/ASA J. Uncertain. Quantification, 2021

Rare event estimation using stochastic spectral embedding.

P.-R. Wagner, Stefano Marelli, Iason Papaioannou, Daniel Straub, Bruno Sudret

CoRR, 2021

Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures.

Nina Korshunova, Iason Papaioannou, Stefan Kollmannsberger, Daniel Straub, Ernst Rank

CoRR, 2021

Value of information from vibration-based structural health monitoring extracted via Bayesian model updating.

Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub

CoRR, 2021

Parameter tuning for a Markov-based multi-sensor system.

Minhao Qiu, Marco Kryda, Florian Bock, Tobias Antesberger, Daniel Straub, Reinhard German

Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020

Exploiting Redundancy for Reliability Analysis of Sensor Perception in Automated Driving Vehicles.

Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub

IEEE Trans. Intell. Transp. Syst., 2020

Global sensitivity analysis in high dimensions with PLS-PCE.

Max Ehre, Iason Papaioannou, Daniel Straub

Reliab. Eng. Syst. Saf., 2020

A framework for global reliability sensitivity analysis in the presence of multi-uncertainty.

Max Ehre, Iason Papaioannou, Daniel Straub

Reliab. Eng. Syst. Saf., 2020

Sparse Polynomial Chaos expansions using variational relevance vector machines.

Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile

J. Comput. Phys., 2020

2019

Reliability Assessment of Safety-Critical Sensor Information: Does One Need a Reference Truth?

Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub

IEEE Trans. Reliab., 2019

Evaluating component importance and reliability of power transmission networks subject to windstorms: methodology and application to the nordic grid.

Anke Scherb, Luca Garrè, Daniel Straub

Reliab. Eng. Syst. Saf., 2019

Improved cross entropy-based importance sampling with a flexible mixture model.

Iason Papaioannou, Sebastian Geyer, Daniel Straub

Reliab. Eng. Syst. Saf., 2019

Matrix-based Bayesian Network for efficient memory storage and flexible inference.

Ji-Eun Byun, Kilian Zwirglmaier, Daniel Straub, Junho Song

Reliab. Eng. Syst. Saf., 2019

PLS-based adaptation for efficient PCE representation in high dimensions.

Iason Papaioannou, Max Ehre, Daniel Straub

J. Comput. Phys., 2019

2017

Capturing cognitive causal paths in human reliability analysis with Bayesian network models.

Kilian Zwirglmaier, Daniel Straub, Katrina M. Groth

Reliab. Eng. Syst. Saf., 2017

2016

A discretization procedure for rare events in Bayesian networks.

Kilian Zwirglmaier, Daniel Straub

Reliab. Eng. Syst. Saf., 2016

Bayesian analysis of rare events.

Daniel Straub, Iason Papaioannou, Wolfgang Betz

J. Comput. Phys., 2016

2015

Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning.

Martina Sättele, Michael Bründl, Daniel Straub

Reliab. Eng. Syst. Saf., 2015

2013

Efficient Bayesian network modeling of systems.

Michelle Bensi, Armen Der Kiureghian, Daniel Straub

Reliab. Eng. Syst. Saf., 2013

Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes.

Olga Spacková, Daniel Straub

Comput. Aided Civ. Infrastructure Eng., 2013

2012

Probabilistic Graphical Models for Flood State Detection of Roads Combining Imagery and DEM.

Daniel Frey, Matthias Butenuth, Daniel Straub

IEEE Geosci. Remote. Sens. Lett., 2012

2006

Computational Aspects of Risk-Based Inspection Planning.

Daniel Straub, Michael H. Faber

Comput. Aided Civ. Infrastructure Eng., 2006

A Computational Framework for Risk Assessment of RC Structures Using Indicators.

Michael H. Faber, Daniel Straub, Marc A. Maes

Comput. Aided Civ. Infrastructure Eng., 2006