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 | 140 | 2021 |
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 | 136 | 2018 |
UQLab user manual–Sensitivity analysis S Marelli, C Lamas, K Konakli, C Mylonas, P Wiederkehr, B Sudret Report UQLab-V1, 2-106, 2019 | 120 | 2019 |
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 | 43 | 2021 |
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 | 35 | 2021 |
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 | 25 | 2020 |
UQLab user manual—canonical low-rank approximations K Konakli, C Mylonas, S Marelli, B Sudret Report UQLab-V1, 1-108, 2019 | 11 | 2019 |
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 | 9 | 2022 |
UQLab user manual–Sensitivity analysis, Report UQLab-V2. 0-106 S Marelli, C Lamas, K Konakli, C Mylonas, P Wiederkehr, B Sudret Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Switzerland, 2022 | 7 | 2022 |
Remaining useful life estimation for engineered systems operating under uncertainty with causal GraphNets C Mylonas, E Chatzi Sensors 21 (19), 6325, 2021 | 7 | 2021 |
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 | 5 | 2022 |
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 | 5 | 2021 |
Remaining useful life estimation under uncertainty with causal GraphNets C Mylonas, E Chatzi arXiv preprint arXiv:2011.11740, 2020 | 2 | 2020 |
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data C Mylonas, I Abdallah, E Chatzi arXiv preprint arXiv:2106.16049, 2021 | 1 | 2021 |
Machine Learning for Structural Health Assessment under Uncertainty: with applications in Wind Energy C Mylonas ETH Zurich, 2021 | 1 | 2021 |
Analysis of networking characteristics of different personality types M Charilaos arXiv preprint arXiv:1406.3663, 2014 | 1 | 2014 |
6 Data-Centric Monitoring of Wind Farms LA Bull, I Abdallah, C Mylonas, LD Avendaņo-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 Avendaņo-Valencia, K Tatsis, ... Data Driven Methods for Civil Structural Health Monitoring and Resilience …, 2023 | | 2023 |
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 |