Eleni N. Chatzi
Orcid: 0000-0002-6870-240X
According to our database1,
Eleni N. Chatzi
authored at least 57 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on d-nb.info
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Bibliography
2024
POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance.
Mach. Learn., October, 2024
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance.
Reliab. Eng. Syst. Saf., February, 2024
Resilience-based post disaster recovery optimization for infrastructure system via Deep Reinforcement Learning.
CoRR, 2024
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks.
CoRR, 2024
A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems.
CoRR, 2024
Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures.
CoRR, 2024
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems.
CoRR, 2024
Towards Multimodal Open-Set Domain Generalization and Adaptation Through Self-supervision.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems.
Reliab. Eng. Syst. Saf., November, 2023
Sensors, October, 2023
Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines.
IEEE Instrum. Meas. Mag., June, 2023
Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds.
Sensors, March, 2023
CoRR, 2023
Discussing the Spectra of Physics-Enhanced Machine Learning via a Survey on Structural Mechanics Applications.
CoRR, 2023
VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
System Identification at the Extreme Edge for Network Load Reduction in Vibration-Based Monitoring.
IEEE Internet Things J., 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems.
CoRR, 2022
Vold-Kalman Filter Order tracking of Axle Box Accelerations for Railway Stiffness Assessment.
CoRR, 2022
Neural Modal ODEs: Integrating Physics-based Modeling with Neural ODEs for Modeling High Dimensional Monitored Structures.
CoRR, 2022
Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks.
CoRR, 2022
CoRR, 2022
2021
Kalman Filter-Based Fusion of Collocated Acceleration, GNSS and Rotation Data for 6C Motion Tracking.
Sensors, 2021
Remaining Useful Life Estimation for Engineered Systems Operating under Uncertainty with Causal GraphNets.
Sensors, 2021
An adapted deflated conjugate gradient solver for robust extended/generalised finite element solutions of large scale, 3D crack propagation problems.
CoRR, 2021
Which Model To Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks.
CoRR, 2021
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty.
CoRR, 2021
Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks.
CoRR, 2021
Moment fitted cut spectral elements for explicit analysis of guided wave propagation.
CoRR, 2021
CoRR, 2021
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating.
CoRR, 2021
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces.
CoRR, 2021
2020
Unsupervised local cluster-weighted bootstrap aggregating the output from multiple stochastic simulators.
Reliab. Eng. Syst. Saf., 2020
GP-ARX-Based Structural Damage Detection and Localization under Varying Environmental Conditions.
J. Sens. Actuator Networks, 2020
J. Sens. Actuator Networks, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020
2019
A Novel Approach for 3D-Structural Identification through Video Recording: Magnified Tracking.
Sensors, 2019
Value of structural health monitoring quantification in partially observable stochastic environments.
CoRR, 2019
2018
Sensors, 2018
J. Comput. Sci., 2018
2017
Sensors, 2017
Multiscale Surrogate Modeling and Uncertainty Quantification for Periodic Composite Structures.
CoRR, 2017
Applying design knowledge and machine learning to scada data for classification of wind turbine operating regimes.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
The Art of Computational Science, Bridging Gaps - Forming Alloys. Preface for ICCS 2017.
Proceedings of the International Conference on Computational Science, 2017
2016
SoRo-Track: A two-axis soft robotic platform for solar tracking and building-integrated photovoltaic applications.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2013
Combining Genetic Algorithms with a Meso-Scale Approach for System Identification of a Smart Polymeric Textile.
Comput. Aided Civ. Infrastructure Eng., 2013
Interactive particle swarm optimization for the architectural design of truss structures.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013