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20202022
most citedFoundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces

57 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 5 cited

On an application of graph neural networks in population based SHM

G. Tsialiamanis, C. Mylonas, E. Chatzi +3

Attempts have been made recently in the field of population-based structural health monitoring (PBSHM), to transfer knowledge between SHM models of different structures. The attemp…

cs.CE2021★ 1 cited

Relational VAE: A Continuous Latent Variable Model for Graph Structured Data

Charilaos Mylonas, Imad Abdallah, Eleni Chatzi

Graph Networks (GNs) enable the fusion of prior knowledge and relational reasoning with flexible function approximations. In this work, a general GN-based model is proposed which t…

stat.ML2021★ 57 cited

Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces

George Tsialiamanis, Charilaos Mylonas, Eleni Chatzi +3

One of the requirements of the population-based approach to Structural Health Monitoring (SHM) proposed in the earlier papers in this sequence, is that structures be represented by…

cs.CE2020

Bayesian graph neural networks for strain-based crack localization

Charilaos Mylonas, George Tsialiamanis, Keith Worden +1

A common shortcoming of vibration-based damage localization techniques is that localized damages, i.e. small cracks, have a limited influence on the spectral characteristics of a s…

cs.LG2020

Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets

Charilaos Mylonas, Eleni Chatzi

In this work, a novel approach for the construction and training of time series models is presented that deals with the problem of learning on large time series with non-equispaced…