Daniel Straub

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 34

Top Topics

High Dimensions

Relevance Vector Machines

Reliability Analysis

Top Venues

Reliab. Eng. Syst. Saf.

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

Publications

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
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. CoRR (2024)
Antonios Kamariotis, Konstantinos Tatsis, Eleni N. Chatzi, Kai Goebel, Daniel Straub
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance. Reliab. Eng. Syst. Saf. 242 (2024)
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance. CoRR (2023)
Michael Engel, Oindrila Kanjilal, Iason Papaioannou, Daniel Straub
Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling. J. Comput. Phys. 473 (2023)
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. Reliab. Eng. Syst. Saf. 239 (2023)
Max Ehre, Rafael Flock, Martin Fußeder, Iason Papaioannou, Daniel Straub
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method. SIAM/ASA J. Uncertain. Quantification 11 (1) (2023)
Daniel Koutas, Elizabeth Bismut, Daniel Straub
An investigation of belief-free DRL and MCTS for inspection and maintenance planning. CoRR (2023)
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. CoRR (2022)
Elizabeth Bismut, Mahesh D. Pandey, Daniel Straub
Reliability-based inspection and maintenance planning of a nuclear feeder piping system. Reliab. Eng. Syst. Saf. 224 (2022)
Wolfgang Betz, Iason Papaioannou, Daniel Straub
Bayesian post-processing of Monte Carlo simulation in reliability analysis. Reliab. Eng. Syst. Saf. 227 (2022)
Jianpeng Chan, Iason Papaioannou, Daniel Straub
An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states. Reliab. Eng. Syst. Saf. 225 (2022)
Max Ehre, Iason Papaioannou, Bruno Sudret, Daniel Straub
Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis. SIAM J. Sci. Comput. 44 (3) (2022)
Jorge Mendoza, Elizabeth Bismut, Daniel Straub, Jochen Köhler
Optimal life-cycle mitigation of fatigue failure risk for structural systems. Reliab. Eng. Syst. Saf. 222 (2022)
Daniel Straub, Max Ehre, Iason Papaioannou
Decision-theoretic reliability sensitivity. Reliab. Eng. Syst. Saf. 221 (2022)
Nina Korshunova, Iason Papaioannou, Stefan Kollmannsberger, Daniel Straub, Ernst Rank
Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures. CoRR (2021)
Minhao Qiu, Marco Kryda, Florian Bock, Tobias Antesberger, Daniel Straub, Reinhard German
Parameter tuning for a Markov-based multi-sensor system. SEAA (2021)
Elizabeth Bismut, Daniel Straub
Optimal adaptive inspection and maintenance planning for deteriorating structural systems. Reliab. Eng. Syst. Saf. 215 (2021)
Iason Papaioannou, Daniel Straub
Variance-based reliability sensitivity analysis and the FORM α-factors. Reliab. Eng. Syst. Saf. 210 (2021)
Elizabeth Bismut, Daniel Straub
Optimal adaptive inspection and maintenance planning for deteriorating structural systems. CoRR (2021)
Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub
Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Antonios Kamariotis, Eleni Chatzi, Daniel Straub
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating. CoRR (2021)
Max Ehre, Iason Papaioannou, Daniel Straub
Global sensitivity analysis in high dimensions with PLS-PCE. Reliab. Eng. Syst. Saf. 198 (2020)
Max Ehre, Iason Papaioannou, Daniel Straub
A framework for global reliability sensitivity analysis in the presence of multi-uncertainty. Reliab. Eng. Syst. Saf. 195 (2020)
Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub
Exploiting Redundancy for Reliability Analysis of Sensor Perception in Automated Driving Vehicles. IEEE Trans. Intell. Transp. Syst. 21 (12) (2020)
Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile
Sparse Polynomial Chaos expansions using variational relevance vector machines. J. Comput. Phys. 416 (2020)
Anke Scherb, Luca Garrè, Daniel Straub
Evaluating component importance and reliability of power transmission networks subject to windstorms: methodology and application to the nordic grid. Reliab. Eng. Syst. Saf. 191 (2019)
Iason Papaioannou, Sebastian Geyer, Daniel Straub
Improved cross entropy-based importance sampling with a flexible mixture model. Reliab. Eng. Syst. Saf. 191 (2019)
Iason Papaioannou, Max Ehre, Daniel Straub
PLS-based adaptation for efficient PCE representation in high dimensions. J. Comput. Phys. 387 (2019)
Ji-Eun Byun, Kilian Zwirglmaier, Daniel Straub, Junho Song
Matrix-based Bayesian Network for efficient memory storage and flexible inference. Reliab. Eng. Syst. Saf. 185 (2019)
Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines. CoRR (2019)
Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub
Reliability Assessment of Safety-Critical Sensor Information: Does One Need a Reference Truth? IEEE Trans. Reliab. 68 (4) (2019)
Kilian Zwirglmaier, Daniel Straub, Katrina M. Groth
Capturing cognitive causal paths in human reliability analysis with Bayesian network models. Reliab. Eng. Syst. Saf. 158 (2017)
Daniel Straub, Iason Papaioannou, Wolfgang Betz
Bayesian analysis of rare events. J. Comput. Phys. 314 (2016)
Kilian Zwirglmaier, Daniel Straub
A discretization procedure for rare events in Bayesian networks. Reliab. Eng. Syst. Saf. 153 (2016)
Martina Sättele, Michael Bründl, Daniel Straub
Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning. Reliab. Eng. Syst. Saf. 142 (2015)
Michelle Bensi, Armen Der Kiureghian, Daniel Straub
Efficient Bayesian network modeling of systems. Reliab. Eng. Syst. Saf. 112 (2013)
Olga Spacková, Daniel Straub
Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes. Comput. Aided Civ. Infrastructure Eng. 28 (1) (2013)
Daniel Frey, Matthias Butenuth, Daniel Straub
Probabilistic Graphical Models for Flood State Detection of Roads Combining Imagery and DEM. IEEE Geosci. Remote. Sens. Lett. 9 (6) (2012)
Daniel Straub, Michael H. Faber
Computational Aspects of Risk-Based Inspection Planning. Comput. Aided Civ. Infrastructure Eng. 21 (3) (2006)
Michael H. Faber, Daniel Straub, Marc A. Maes
A Computational Framework for Risk Assessment of RC Structures Using Indicators. Comput. Aided Civ. Infrastructure Eng. 21 (3) (2006)