Nikolaos Dervilis

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Reduced Order Model

Machine Learning

Hierarchical Bayesian

Top Venues

IEEE Trans. Ind. Electron.

Publications

S. M. Smith, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling. CoRR (2024)
Aidan J. Hughes, Giulia Delo, Jack Poole, Nikolaos Dervilis, Keith Worden
Quantifying the value of positive transfer: An experimental case study. CoRR (2024)
Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. CoRR (2024)
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. Sensors 23 (1) (2023)
Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull
On the hierarchical Bayesian modelling of frequency response functions. CoRR (2023)
Aidan J. Hughes, Jack Poole, Nikolaos Dervilis, Paul Gardner, Keith Worden
A decision framework for selecting information-transfer strategies in population-based SHM. CoRR (2023)
Aidan J. Hughes, Jack Poole, Nikolaos Dervilis, Paul Gardner, Keith Worden
Quantifying the value of information transfer in population-based SHM. CoRR (2023)
George Tsialiamanis, Nikolaos Dervilis, David J. Wagg, Keith Worden
Towards a population-informed approach to the definition of data-driven models for structural dynamics. CoRR (2023)
George Tsialiamanis, Nikolaos Dervilis, David J. Wagg, Keith Worden
A Meta-Learning Approach to Population-Based Modelling of Structures. CoRR (2023)
Thomas Simpson, Konstantinos Vlachas, Anthony Garland, Nikolaos Dervilis, Eleni N. Chatzi
VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems. CoRR (2023)
S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. CoRR (2023)
Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
When is an SHM problem a Multi-Task-Learning problem? CoRR (2023)
Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting. CoRR (2023)
Tristan Gowdridge, Nikolaos Dervilis, Keith Worden
On the application of topological data analysis: a Z24 Bridge case study. CoRR (2022)
Tristan Gowdridge, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
A topological analysis of cointegrated data: a Z24 Bridge case study. CoRR (2022)
George Tsialiamanis, David J. Wagg, P. A. Gardner, Nikolaos Dervilis, Keith Worden
On partitioning of an SHM problem and parallels with transfer learning. CoRR (2022)
Tristan Gowdridge, Nikolaos Dervilis, Keith Worden
On topological data analysis for structural dynamics: an introduction to persistent homology. CoRR (2022)
Jack Poole, Paul Gardner, Nikolaos Dervilis, Lawrence A. Bull, Keith Worden
On statistic alignment for domain adaptation in structural health monitoring. CoRR (2022)
Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes. CoRR (2022)
George Tsialiamanis, M. D. Champneys, Nikolaos Dervilis, David J. Wagg, Keith Worden
On the application of generative adversarial networks for nonlinear modal analysis. CoRR (2022)
George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden
On generating parametrised structural data using conditional generative adversarial networks. CoRR (2022)
Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
Mitigating sampling bias in risk-based active learning via an EM algorithm. CoRR (2022)
Christopher A. Lindley, Scott Beamish, Rob Dwyer-Joyce, Nikolaos Dervilis, Keith Worden
A Bayesian Approach for Shaft Centre Localisation in Journal Bearings. CoRR (2022)
Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers. CoRR (2022)
George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden
On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation. CoRR (2022)
George Tsialiamanis, Charilaos Mylonas, Eleni N. Chatzi, David J. Wagg, Nikolaos Dervilis, Keith Worden
On an application of graph neural networks in population based SHM. CoRR (2022)
Thomas Simpson, Nikolaos Dervilis, Philippe Couturier, Nico Maljaars, Eleni N. Chatzi
Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks. CoRR (2022)
George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden
On generative models as the basis for digital twins. CoRR (2022)
Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
Modelling variability in vibration-based PBSHM via a generalised population form. CoRR (2022)
Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
On robust risk-based active-learning algorithms for enhanced decision support. CoRR (2022)
Thomas Simpson, Nikolaos Dervilis, Eleni N. Chatzi
Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks. CoRR (2021)
Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. CoRR (2021)
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. CoRR (2021)
Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
Damage detection in operational wind turbine blades using a new approach based on machine learning. CoRR (2021)
Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. CoRR (2021)
George Tsialiamanis, Charilaos Mylonas, Eleni N. Chatzi, Nikolaos Dervilis, David J. Wagg, Keith Worden
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces. CoRR (2021)
Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Robert James Barthorpe, Nikolaos Dervilis, Keith Worden
On risk-based active learning for structural health monitoring. CoRR (2021)
Thomas Simpson, Nikolaos Dervilis, Eleni N. Chatzi
On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling. CoRR (2020)
Stefania Chetcuti Zammit, Lawrence A. Bull, David S. Sanders, Jessica Galvin, Nikolaos Dervilis, Reena Sidhu, Keith Worden
Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy. J. Medical Syst. 44 (11) (2020)
Nikolaos Dervilis, Elizabeth J. Cross, Ifigeneia Antoniadou, Charles R. Farrar, Keith Worden
Aspects of computational intelligence in structural dynamics: Structural health monitoring. SSCI (2017)
Evangelos Papatheou, Nikolaos Dervilis, Andrew Eoghan Maguire, Ifigeneia Antoniadou, Keith Worden
A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm. IEEE Trans. Ind. Electron. 62 (10) (2015)