| Date | Author/Title | | Document Type |
|---|
| 2024 | Kurent, B and Friedman, Noémi and Aloisio, A and Pasca, D and Tomasi, R and Brank, B
Bayesian model updating of eight-storey CLT building using modal data |  | Article |
| 2024 | Kurent, B and Friedman, Noémi and Brank, B
Modelling of Multi-Storey Cross-Laminated Timber Buildings for Vibration Serviceability | | Article |
| 2023 | Bevilacqua, M G and Caroti, G and Croce, P and Friedman, Noémi and Landi, F and Piemonte, A
The Horizon Europe “BUILDCHAIN” Project Presentation: Trustworthy Building Life-Cycle Knowledge Graph for Sustainability and Energy Efficiency | | Article |
| 2023 | Hadlaczky, Bence Zsombor and Friedman, Noémi and Takarics, Béla and Vanek, Bálint
Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft | | Article |
| 2022 | Kurent, B and Friedman, Noémi and Ao, W K and Brank, B
Bayesian updating of tall timber building model using modal data | | Article |
| 2022 | Subbian, G and Botelho, e Souza A C and Radespiel, R and Zander, E and Moshagen, T and Friedman, Noémi
Calibration of an Extended Eddy Viscosity Turbulence Model Using Bayesian Update | | Article |
| 2022 | Hadlaczky, Bence Zsombor and Friedman, Noémi and Takarics, Béla and Vanek, Bálint
Comparison of EKF and Neural Network based wing shape estimation of a flexible wing demonstrator | | Conference or Workshop Item |
| 2022 | Li, Y and Friedman, Noémi and Teatini, P and Benczúr, András, ifj and Ye, S
Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping | | Article |
| 2021 | Kurent, B and Friedman, Noémi and Brank, B
On (Bayesian) Finite Element Model Updating of Civil Engineering Structures by Using Modal Features | | Book Section |
| 2021 | Zander, E and Friedman, Noémi and Matthies, H G
Parameter Identification Based on Conditional Expectation | | Book Section |
| 2021 | Stanic, A and Nikolic, M and Friedman, Noémi and Matthies, H G
Parameter Identification in Dynamic Crack Propagation | | Book Section |
| 2021 | Friedman, Noémi and Zoccarato, C and Zander, E and Matthies, H G
A Worked-out Example of Surrogate-based Bayesian Parameter and Field Identification Methods | | Book Section |
| 2021 | Landi, F and Marsili, F and Friedman, Noémi and Croce, P
gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective | | Article |
| 2020 | Subbian, G and Botelho, e Souza A C and Radespiel, R and Zander, E and Moshagen, T and Friedman, Noémi
Calibration of an extended Eddy Viscosity Turbulence Model using Uncertainty Quantification | | Book Section |
| 2020 | Friedman, Noémi and Labbi, A
Solving Engineering Problems with Machine Learning - Introduction to the Special Theme | | Article |
