David Moens

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Model Averaging

Neural Network Training

Nelder Mead Simplex

Optimization Methods

Top Venues

Comput. Math. Appl.

IEEE Trans. Biomed. Eng.

Publications

Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. CoRR (2024)
Lechang Yang, Xinyao Zhang, Zitong Lu, Yuqiang Fu, David Moens, Michael Beer
Reliability evaluation of a multi-state system with dependent components and imprecise parameters: A structural reliability treatment. Reliab. Eng. Syst. Saf. 250 (2024)
Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection. CoRR (2024)
Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens
An introduction to optimization under uncertainty - A short survey. CoRR (2022)
Laura Bartsoen, Matthias G. R. Faes, Mariska Wesseling, Roel Wirix-Speetjens, David Moens, Ilse Jonkers, Jos Vander Sloten
Computationally Efficient Optimization Method to Quantify the Required Surgical Accuracy for a Ligament Balanced TKA. IEEE Trans. Biomed. Eng. 68 (11) (2021)
Matthias G. R. Faes, Ghosh Dastidar Sabyasachi, David Moens
Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in Laser Sintered PA-12 parts. Comput. Math. Appl. 78 (7) (2019)
Lars Bogaerts, Matthias G. R. Faes, David Moens
A fast inverse approach for the quantification of set-theoretical uncertainty. SSCI (2019)
Matteo Broggi, Matthias G. R. Faes, Edoardo Patelli, Yves Govers, David Moens, Michael Beer
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure. SSCI (2017)