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George Tsialiamanis
George Tsialiamanis
Lecturer at the University of Sheffield
Verified email at sheffield.ac.uk
Title
Cited by
Cited by
Year
Artificial neural networks
K Worden, G Tsialiamanis, EJ Cross, TJ Rogers
Machine Learning in Modeling and Simulation: Methods and Applications, 85-119, 2023
502023
Foundations of population-based SHM, Part IV: The geometry of spaces of structures and their feature spaces
G Tsialiamanis, C Mylonas, E Chatzi, N Dervilis, DJ Wagg, K Worden
Mechanical Systems and Signal Processing 157, 107692, 2021
352021
On the application of generative adversarial networks for nonlinear modal analysis
G Tsialiamanis, MD Champneys, N Dervilis, DJ Wagg, K Worden
Mechanical Systems and Signal Processing 166, 108473, 2022
232022
On generative models as the basis for digital twins
G Tsialiamanis, DJ Wagg, N Dervilis, K Worden
Data-Centric Engineering 2, e11, 2021
172021
Bayesian graph neural networks for strain-based crack localization
C Mylonas, G Tsialiamanis, K Worden, EN Chatzi
Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A …, 2022
82022
On partitioning of an SHM problem and parallels with transfer learning
GP Tsialiamanis, DJ Wagg, PA Gardner, N Dervilis, K Worden
Topics in Modal Analysis & Testing, Volume 8: Proceedings of the 38th IMAC …, 2021
82021
On the use of variational autoencoders for nonlinear modal analysis
T Simpson, G Tsialiamanis, N Dervilis, K Worden, E Chatzi
Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A …, 2012
82012
On the dynamic properties of statistically-independent nonlinear normal modes
MD Champneys, G Tsialiamanis, TJ Rogers, N Dervilis, K Worden
Mechanical Systems and Signal Processing 181, 109510, 2022
52022
On an application of graph neural networks in population-based shm
G Tsialiamanis, C Mylonas, EN Chatzi, DJ Wagg, N Dervilis, K Worden
Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A …, 2022
52022
An application of generative adversarial networks in structural health monitoring
G Tsialiamanis, E Chatzi, N Dervilis, D Wagg, K Worden
EURODYN 2020: Proceedings of the XI International Conference on Structural …, 2020
52020
On generating parametrised structural data using conditional generative adversarial networks
G Tsialiamanis, DJ Wagg, N Dervilis, K Worden
Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A …, 2022
32022
An ontological approach to structural health monitoring
GP Tsialiamanis, DJ Wagg, I Antoniadou, K Worden
Topics in Modal Analysis & Testing, Volume 8: Proceedings of the 38th IMAC …, 2021
32021
On a meta-learning population-based approach to damage prognosis
G Tsialiamanis, C Sbarufatti, N Dervilis, K Worden
Mechanical Systems and Signal Processing 209, 111119, 2024
22024
Towards a population-informed approach to the definition of data-driven models for structural dynamics
G Tsialiamanis, N Dervilis, DJ Wagg, K Worden
Mechanical Systems and Signal Processing 200, 110581, 2023
12023
A Meta-Learning Approach to Population-Based Modelling of Structures
G Tsialiamanis, N Dervilis, DJ Wagg, K Worden
Society for Experimental Mechanics Annual Conference and Exposition, 63-71, 2023
2023
On the Detection and Quantification of Nonlinearity via Statistics of the Gradients of a Black-Box Model
G Tsialiamanis, CR Farrar
Society for Experimental Mechanics Annual Conference and Exposition, 1-9, 2023
2023
On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation
G Tsialiamanis, D Wagg, N Dervilis, K Worden
arXiv preprint arXiv:2208.08666, 2022
2022
On Modelling Statistically Independent Nonlinear Normal Modes with Gaussian Process NARX Models
MD Champneys, G Tsialiamanis, TJ Rogers, N Dervilis, K Worden
Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A …, 2022
2022
A data-driven approach to modelling structures
G Tsialiamanis
University of Sheffield, 2022
2022
A neat approach to structural health monitoring
G Tsialiamanis, DJ Wagg, N Dervilis, K Worden
EURODYN 2020: Proceedings of the XI International Conference on Structural …, 2020
2020
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