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)

Computational Aspects of Risk-Based Inspection Planning. - Daniel Straub; Michael H. Faber (Comput. Aided Civ. Infrastructure Eng., 2006)

Probabilistic Graphical Models for Flood State Detection of Roads Combining Imagery and DEM. - Daniel Frey 003; Matthias Butenuth; Daniel Straub (IEEE Geosci. Remote. Sens. Lett., 2012)

Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes. - Olga Spacková; Daniel Straub (Comput. Aided Civ. Infrastructure Eng., 2013)

Efficient Bayesian network modeling of systems. - Michelle Bensi; Armen Der Kiureghian; Daniel Straub (Reliab. Eng. Syst. Saf., 2013)

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)

Bayesian analysis of rare events. - Daniel Straub; Iason Papaioannou; Wolfgang Betz (J. Comput. Phys., 2016)

A discretization procedure for rare events in Bayesian networks. - Kilian Zwirglmaier; Daniel Straub (Reliab. Eng. Syst. Saf., 2016)

Capturing cognitive causal paths in human reliability analysis with Bayesian network models. - Kilian Zwirglmaier; Daniel Straub; Katrina M. Groth (Reliab. Eng. Syst. Saf., 2017)

PLS-based adaptation for efficient PCE representation in high dimensions. - Iason Papaioannou; Max Ehre; Daniel Straub (J. Comput. Phys., 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)

Improved cross entropy-based importance sampling with a flexible mixture model. - Iason Papaioannou; Sebastian Geyer; Daniel Straub (Reliab. Eng. Syst. Saf., 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)

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)

Sparse Polynomial Chaos expansions using variational relevance vector machines. - Panagiotis Tsilifis; Iason Papaioannou; Daniel Straub; Fabio Nobile (J. Comput. Phys., 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)

Global sensitivity analysis in high dimensions with PLS-PCE. - Max Ehre; Iason Papaioannou; Daniel Straub (Reliab. Eng. Syst. Saf., 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)

Parameter tuning for a Markov-based multi-sensor system. - Minhao Qiu; Marco Kryda; Florian Bock; Tobias Antesberger; Daniel Straub; Reinhard German (SEAA, 2021)

Value of information from vibration-based structural health monitoring extracted via Bayesian model updating. - Antonios Kamariotis; Eleni N. Chatzi; Daniel Straub (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)

Rare event estimation using stochastic spectral embedding. - P.-R. Wagner; Stefano Marelli; Iason Papaioannou; Daniel Straub; Bruno Sudret (CoRR, 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)

Optimal adaptive inspection and maintenance planning for deteriorating structural systems. - Elizabeth Bismut; Daniel Straub (Reliab. Eng. Syst. Saf., 2021)

Variance-based reliability sensitivity analysis and the FORM α-factors. - Iason Papaioannou; Daniel Straub (Reliab. Eng. Syst. Saf., 2021)

Bayesian post-processing of Monte Carlo simulation in reliability analysis. - Wolfgang Betz; 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)

An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states. - Jianpeng Chan; Iason Papaioannou; Daniel Straub (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)

Decision-theoretic reliability sensitivity. - Daniel Straub; Max Ehre; Iason Papaioannou (Reliab. Eng. Syst. Saf., 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)

An investigation of belief-free DRL and MCTS for inspection and maintenance planning. - Daniel Koutas; Elizabeth Bismut; Daniel Straub (CoRR, 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)

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, 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., 2023)

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)

Branch-and-bound algorithm for efficient reliability analysis of general coherent systems. - Ji-Eun Byun; Hyeuk Ryu; Daniel Straub (CoRR, 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)

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., 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., 2024)

FORM-based global reliability sensitivity analysis of systems with multiple failure modes. - Iason Papaioannou; Daniel Straub (Reliab. Eng. Syst. Saf., 2025)

Convex Is Back: Solving Belief MDPs With Convexity-Informed Deep Reinforcement Learning. - Daniel Koutas; Daniel Hettegger; Konstantinos G. Papakonstantinou; Daniel Straub (CoRR, 2025)

Deep Belief Markov Models for POMDP Inference. - Giacomo Arcieri; Konstantinos G. Papakonstantinou; Daniel Straub; Eleni N. Chatzi (CoRR, 2025)

Safety integrity framework for automated driving. - Moritz Werling; Rainer Faller; Wolfgang Betz; Daniel Straub (CoRR, 2025)