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Tsialiamanis, G.
24  Ergebnisse:
Personensuche X
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1

On a meta-learning population-based approach to damage prog..:

Tsialiamanis, G. ; Sbarufatti, C. ; Dervilis, N..
Mechanical Systems and Signal Processing.  209 (2024)  - p. 111119 , 2024
Link: https://doi.org/10.1016/..
 
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2

A Meta-Learning Approach to Population-Based Modelling of S..:

, In: Data Science in Engineering, Volume 10; Conference Proceedings of the Society for Experimental Mechanics Series,
Tsialiamanis, G. ; Dervilis, N. ; Wagg, D. J.. - p. 63-71 , 2023
Link: https://doi.org/10.1007/..
 
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3

Towards a population-informed approach to the definition of..:

Tsialiamanis, G. ; Dervilis, N. ; Wagg, D.J..
Mechanical Systems and Signal Processing.  200 (2023)  - p. 110581 , 2023
Link: https://doi.org/10.1016/..
 
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4

Artificial Neural Networks:

, In: Computational Methods in Engineering & the Sciences; Machine Learning in Modeling and Simulation,
Worden, K. ; Tsialiamanis, G. ; Cross, E. J.. - p. 85-119 , 2023
Link: https://doi.org/10.1007/..
 
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5

On the dynamic properties of statistically-independent nonl..:

Champneys, M.D. ; Tsialiamanis, G. ; Rogers, T.J...
Mechanical Systems and Signal Processing.  181 (2022)  - p. 109510 , 2022
Link: https://doi.org/10.1016/..
 
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6

On the application of generative adversarial networks for n..:

Tsialiamanis, G. ; Champneys, M.D. ; Dervilis, N...
Mechanical Systems and Signal Processing.  166 (2022)  - p. 108473 , 2022
Link: https://doi.org/10.1016/..
 
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7

On an Application of Graph Neural Networks in Population-Ba..:

, In: Data Science in Engineering, Volume 9; Conference Proceedings of the Society for Experimental Mechanics Series,
Tsialiamanis, G. ; Mylonas, C. ; Chatzi, E. N.... - p. 47-63 , 2021
Link: https://doi.org/10.1007/..
 
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8

On Generating Parametrised Structural Data Using Conditiona..:

, In: Data Science in Engineering, Volume 9; Conference Proceedings of the Society for Experimental Mechanics Series,
Tsialiamanis, G. ; Wagg, D. J. ; Dervilis, N.. - p. 35-46 , 2021
Link: https://doi.org/10.1007/..
 
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9

Bayesian Graph Neural Networks for Strain-Based Crack Local..:

, In: Data Science in Engineering, Volume 9; Conference Proceedings of the Society for Experimental Mechanics Series,
Mylonas, C. ; Tsialiamanis, G. ; Worden, K.. - p. 253-261 , 2021
Link: https://doi.org/10.1007/..
 
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10

Foundations of population-based SHM, Part IV: The geometry ..:

Tsialiamanis, G. ; Mylonas, C. ; Chatzi, E....
Mechanical Systems and Signal Processing.  157 (2021)  - p. 107692 , 2021
Link: https://doi.org/10.1016/..
 
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11

Towards a population-informed approach to the definition of..:

Tsialiamanis, G ; Dervilis, N ; Wagg, D.J.
https://eprints.whiterose.ac.uk/202126/1/Meta_learning_paper_GT.pdf.  , 2023
Link: https://eprints.whiteros..
 
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12

A Meta-Learning Approach to Population-Based Modelling of S..:

Tsialiamanis, G ; Dervilis, N ; Wagg, D. J.
http://arxiv.org/abs/2302.07980.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Towards a population-informed approach to the definition of..:

Tsialiamanis, G ; Dervilis, N ; Wagg, D. J.
http://arxiv.org/abs/2307.09862.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

On the Detection and Quantification of Nonlinearity via Sta..:

Tsialiamanis, G ; Farrar, C. R
http://arxiv.org/abs/2302.07986.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

On the application of generative adversarial networks for n..:

Tsialiamanis, G ; Champneys, M. D ; Dervilis, N..
http://arxiv.org/abs/2203.01229.  , 2022
Link: http://arxiv.org/abs/220..
 
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