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Charilaos Mylonas
Charilaos Mylonas
Verified email at ibk.baug.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data
I Abdallah, V Dertimanis, C Mylonas, K Tatsis, E Chatzi, N Dervilis, ...
Proceedings of the European Safety and Reliability Conference, 3053-3061, 2018
1252018
UQLab user manual–Sensitivity analysis
S Marelli, C Lamas, K Konakli, C Mylonas, P Wiederkehr, B Sudret
Report UQLab-V1, 2-106, 2019
1142019
Structural identification with physics-informed neural ordinary differential equations
Z Lai, C Mylonas, S Nagarajaiah, E Chatzi
Journal of Sound and Vibration 508, 116196, 2021
1072021
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
322021
Deep unsupervised learning for condition monitoring and prediction of high dimensional data with application on windfarm scada data
C Mylonas, I Abdallah, EN Chatzi
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
242020
Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data
C Mylonas, I Abdallah, E Chatzi
Wind Energy 24 (10), 1122-1139, 2021
212021
UQLab user manual—canonical low-rank approximations
K Konakli, C Mylonas, S Marelli, B Sudret
Report UQLab-V1, 1-108, 2019
112019
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
Remaining useful life estimation for engineered systems operating under uncertainty with causal GraphNets
C Mylonas, E Chatzi
Sensors 21 (19), 6325, 2021
72021
UQLab user manual–sensitivity analysis, Report# UQLab-V1. 4-106
S Marelli, C Lamas, K Konakli, C Mylonas, P Wiederkehr, B Sudret
ETH Zurich, Switzerland: Chair of Risk, Safety and Uncertainty Quantification, 2021
62021
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
Remaining useful life estimation under uncertainty with causal GraphNets
C Mylonas, E Chatzi
arXiv preprint arXiv:2011.11740, 2020
22020
Analysis of networking characteristics of different personality types
M Charilaos
arXiv preprint arXiv:1406.3663, 2014
12014
6 Data-Centric Monitoring of Wind Farms
LA Bull, I Abdallah, C Mylonas, LD Avendaño-Valencia, K Tatsis, ...
Data Driven Methods for Civil Structural Health Monitoring and Resilience …, 2023
2023
Data-Centric Monitoring of Wind Farms: Combining Sources of Information
LA Bull, I Abdallah, C Mylonas, LD Avendaño-Valencia, K Tatsis, ...
Data Driven Methods for Civil Structural Health Monitoring and Resilience …, 2023
2023
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
C Mylonas, I Abdallah, E Chatzi
arXiv preprint arXiv:2106.16049, 2021
2021
Machine Learning for Structural Health Assessment under Uncertainty: with applications in Wind Energy
C Mylonas
ETH Zurich, 2021
2021
Data–Driven Remaining Useful Life Prediction for Anchor Fatigue
C Mylonas, I Abdallah, D Vieira, K Moisi, M Zientek, E Chatzi
38th IMAC Conference and Exposition on Structural Dynamics: It's Not Just …, 2020
2020
Deep CNNs and Adversarial Regularization for Fatigue Damage Failure Prediction of Concrete Anchors
C Mylonas, E Chatzi
3rd general assembly of the Swiss Community for Computational Methods in …, 2020
2020
DeepFarm: Deep Generative Modelling for Wind Farms
C Mylonas, I Abdallah, E Chatzi
10th Gene Golub SIAM Summerschool 2019: High Performable Data Analytics, 2019
2019
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