David Moens

According to our database, David Moens authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

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 on Out-Of-Distribution Detection.

Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez

CoRR, 2024

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

CoRR, 2024

2022

An introduction to optimization under uncertainty - A short survey.

Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens

CoRR, 2022

2021

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

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

A fast inverse approach for the quantification of set-theoretical uncertainty.

Lars Bogaerts, Matthias G. R. Faes, David Moens

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2017

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

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017