Sensitivity estimation of failure probability applying line sampling. - Marcos A. Valdebenito; Hector A. Jensen; H. B. Hernández; Loujaine Mehrez (Reliab. Eng. Syst. Saf., 2018)

Calculation of second order statistics of uncertain linear systems applying reduced order models. - I. V. González; Marcos A. Valdebenito; J. I. Correa; Hector A. Jensen (Reliab. Eng. Syst. Saf., 2019)

An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics. - Hector A. Jensen; F. Mayorga; Marcos A. Valdebenito; Jianbing Chen (Reliab. Eng. Syst. Saf., 2020)

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)

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)

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)

Risk-based Design of Regular Plane Frames Subject to Damage by Abnormal Events: a Conceptual Study. - André Teófilo Beck; Lucas da Rosa Ribeiro; Marcos A. Valdebenito; Hector A. Jensen (CoRR, 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)

A general hierarchical ensemble-learning framework for structural reliability analysis. - Changcong Zhou; Hanlin Zhang; Marcos A. Valdebenito; Haodong Zhao (Reliab. Eng. Syst. Saf., 2022)

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)

Sobolev Neural Network With Residual Weighting as a Surrogate in Linear and Non-Linear Mechanics. - A. O. M. Kilicsoy; J. Liedmann; Marcos A. Valdebenito; F.-J. Barthold; Matthias G. R. Faes (IEEE Access, 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)

Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis. - Jingwen Song; Yifan Cui; Pengfei Wei 002; Marcos A. Valdebenito; Weihong Zhang (Reliab. Eng. Syst. Saf., 2024)

Line sampling for time-variant failure probability estimation using an adaptive combination approach. - Xiukai Yuan; Weiming Zheng; Chaofan Zhao; Marcos A. Valdebenito; Matthias G. R. Faes; Yiwei Dong (Reliab. Eng. Syst. Saf., 2024)

Vascular segmentation of functional ultrasound images using deep learning. - Hana Sebia; Thomas Guyet; Mickaël Pereira; Marcos A. Valdebenito; Hugues Berry; Benjamin Vidal (Comput. Biol. Medicine, 2025)

On fractional moment estimation from polynomial chaos expansion. - Lukás Novák; Marcos A. Valdebenito; Matthias G. R. Faes (Reliab. Eng. Syst. Saf., 2025)

A Bayesian piecewise fitting method for estimating probability distributions of performance functions. - Yan-Gang Zhao; Ya-Ting Liu; Pei-Pei Li; Ye-Yao Weng; Marcos A. Valdebenito; Matthias G. R. Faes (Reliab. Eng. Syst. Saf., 2025)

Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space. - Zhouzhou Song; Weiyun Xu; Marcos A. Valdebenito; Matthias G. R. Faes (CoRR, 2025)