Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure. - Matteo Broggi; Matthias G. R. Faes; Edoardo Patelli; Yves Govers; David Moens; Michael Beer (SSCI, 2017)

A fast inverse approach for the quantification of set-theoretical uncertainty. - Lars Bogaerts; Matthias G. R. Faes; David Moens (SSCI, 2019)

Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in Laser Sintered PA-12 parts. - Matthias G. R. Faes; Ghosh Dastidar Sabyasachi; David Moens (Comput. Math. Appl., 2019)

Computationally Efficient Optimization Method to Quantify the Required Surgical Accuracy for a Ligament Balanced TKA. - Laura Bartsoen; Matthias G. R. Faes; Mariska Wesseling; Roel Wirix-Speetjens; David Moens; Ilse Jonkers; Jos Vander Sloten (IEEE Trans. Biomed. Eng., 2021)

An introduction to optimization under uncertainty - A short survey. - Keivan Shariatmadar; Kaizheng Wang; Calvin R. Hubbard; Hans Hallez; David Moens (CoRR, 2022)

Credal Deep Ensembles for Uncertainty Quantification. - Kaizheng Wang; Fabio Cuzzolin; Shireen Kudukkil Manchingal; Keivan Shariatmadar; David Moens; Hans Hallez (NeurIPS, 2024)

Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection. - Kaizheng Wang; Fabio Cuzzolin; Keivan Shariatmadar; David Moens; Hans Hallez (CoRR, 2024)

Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment. - Lechang Yang; Xinyao Zhang; Zitong Lu; Yuqiang Fu; David Moens; Michael Beer (Reliab. Eng. Syst. Saf., 2024)

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification. - Kaizheng Wang; Fabio Cuzzolin; Keivan Shariatmadar; David Moens; Hans Hallez (ICLR, 2025)

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. - Kaizheng Wang; Keivan Shariatmadar; Shireen Kudukkil Manchingal; Fabio Cuzzolin; David Moens; Hans Hallez (Neural Networks, 2025)

Generalized Decision Focused Learning under Imprecise Uncertainty-Theoretical Study. - Keivan Shariatmadar; Neil Yorke-Smith; Ahmad Osman; Fabio Cuzzolin; Hans Hallez; David Moens (CoRR, 2025)