Keith Worden - RankMe

70 papers Journal 68Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing similarity requirements for effective transfer learning across a network of rigid frame bridges. Reliab. Eng. Syst. Saf. Valentina Giglioni, Alina Elena Eva, Keith Worden, Filippo Ubertini, Ilaria Venanzi
2026	J	`jnl`	On Additive Gaussian Processes for Wind Farm Power Prediction. CoRR Simon M. Brealy, Lawrence A. Bull, Daniel S. Brennan, Pauline Beltrando, Anders Sommer, Nikolaos Dervilis, Keith Worden
2026	J	`jnl`	Transfer learning via interpolating structures. CoRR Tina A. Dardeno, Aidan J. Hughes, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
2025	J	`jnl`	Active transfer learning for structural health monitoring. CoRR Jack Poole, Nikolaos Dervilis, Keith Worden, Paul Gardner, V. Giglioni, Robin S. Mills, Aidan J. Hughes
2025	J	`jnl`	Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning. CoRR Simon M. Brealy, Lawrence A. Bull, Pauline Beltrando, Anders Sommer, Nikolaos Dervilis, Keith Worden
2025	J	`jnl`	Multi-Task Equation Discovery. CoRR S. C. Bee, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull
2025	J	`jnl`	On the use of Statistical Learning Theory for model selection in Structural Health Monitoring. CoRR Christopher A. Lindley, Nikolaos Dervilis, Keith Worden
2025	J	`jnl`	Physics-informed transfer learning for SHM via feature selection. CoRR Jack Poole, Paul Gardner, Aidan J. Hughes, Nikolaos Dervilis, Robin S. Mills, Tina A. Dardeno, Keith Worden
2025	J	`jnl`	Regularising NARX models with multi-task learning. CoRR Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2024	J	`jnl`	Active learning for regression in engineering populations: A risk-informed approach. CoRR Daniel R. Clarkson, Lawrence A. Bull, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes
2024	J	`jnl`	Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling. CoRR S. M. Smith, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2024	J	`jnl`	Cost-informed dimensionality reduction for structural digital twin technologies. CoRR Aidan J. Hughes, Keith Worden, Nikolaos Dervilis, Timothy J. Rogers
2024	J	`jnl`	Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. CoRR 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
2024	J	`jnl`	Multitask learning for improved scour detection: A dynamic wave tank study. CoRR Simon M. Brealy, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
2024	J	`jnl`	On the topology and geometry of population-based SHM. CoRR Keith Worden, Tina A. Dardeno, Aidan J. Hughes, George Tsialiamanis
2024	J	`jnl`	Quantifying the value of positive transfer: An experimental case study. CoRR Aidan J. Hughes, Giulia Delo, Jack Poole, Nikolaos Dervilis, Keith Worden
2024	J	`jnl`	Towards an active-learning approach to resource allocation for population-based damage prognosis. CoRR George Tsialiamanis, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes
2024	J	`jnl`	When does a bridge become an aeroplane? CoRR Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2023	J	`jnl`	A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. Sensors Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers
2023	J	`jnl`	A Meta-Learning Approach to Population-Based Modelling of Structures. CoRR George Tsialiamanis, Nikolaos Dervilis, David James Wagg, Keith Worden
2023	J	`jnl`	A decision framework for selecting information-transfer strategies in population-based SHM. CoRR Aidan J. Hughes, Jack Poole, Nikolaos Dervilis, Paul Gardner, Keith Worden
2023	J	`jnl`	Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. CoRR S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis
2023	J	`jnl`	On the hierarchical Bayesian modelling of frequency response functions. CoRR Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull
2023	J	`jnl`	Population-based wind farm monitoring based on a spatial autoregressive approach. CoRR W. Lin, Keith Worden, Elizabeth J. Cross
2023	J	`jnl`	Quantifying the value of information transfer in population-based SHM. CoRR Aidan J. Hughes, Jack Poole, Nikolaos Dervilis, Paul Gardner, Keith Worden
2023	J	`jnl`	Sharing Information Between Machine Tools to Improve Surface Finish Forecasting. CoRR 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
2023	J	`jnl`	Towards a population-informed approach to the definition of data-driven models for structural dynamics. CoRR George Tsialiamanis, Nikolaos Dervilis, David James Wagg, Keith Worden
2023	J	`jnl`	Towards risk-informed PBSHM: Populations as hierarchical systems. CoRR Aidan J. Hughes, Paul Gardner, Keith Worden
2023	J	`jnl`	When is an SHM problem a Multi-Task-Learning problem? CoRR Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	A Bayesian Approach for Shaft Centre Localisation in Journal Bearings. CoRR Christopher A. Lindley, Scott Beamish, Rob Dwyer-Joyce, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes. CoRR Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	A topological analysis of cointegrated data: a Z24 Bridge case study. CoRR Tristan Gowdridge, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers. CoRR Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	Mitigating sampling bias in risk-based active learning via an EM algorithm. CoRR Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	Modelling variability in vibration-based PBSHM via a generalised population form. CoRR Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation. CoRR George Tsialiamanis, David James Wagg, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On an application of graph neural networks in population based SHM. CoRR George Tsialiamanis, Charilaos Mylonas, Eleni N. Chatzi, David James Wagg, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On generating parametrised structural data using conditional generative adversarial networks. CoRR George Tsialiamanis, David James Wagg, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On generative models as the basis for digital twins. CoRR George Tsialiamanis, David James Wagg, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On partitioning of an SHM problem and parallels with transfer learning. CoRR George Tsialiamanis, David James Wagg, P. A. Gardner, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On robust risk-based active-learning algorithms for enhanced decision support. CoRR Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On statistic alignment for domain adaptation in structural health monitoring. CoRR Jack Poole, Paul Gardner, Nikolaos Dervilis, Lawrence A. Bull, Keith Worden
2022	J	`jnl`	On the application of generative adversarial networks for nonlinear modal analysis. CoRR George Tsialiamanis, Max D. Champneys, Nikolaos Dervilis, David James Wagg, Keith Worden
2022	J	`jnl`	On the application of population-based structural health monitoring in aerospace engineering. Frontiers Robotics AI Daniel S. Brennan, Julian Gosliga, Paul Gardner, Robin S. Mills, Keith Worden
2022	J	`jnl`	On the application of topological data analysis: a Z24 Bridge case study. CoRR Tristan Gowdridge, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On topological data analysis for SHM; an introduction to persistent homology. CoRR Tristan Gowdridge, Nikolaos Devilis, Keith Worden
2022	J	`jnl`	On topological data analysis for structural dynamics: an introduction to persistent homology. CoRR Tristan Gowdridge, Nikolaos Dervilis, Keith Worden
2021	J	`jnl`	Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. CoRR Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden
2021	J	`jnl`	Canonical-Correlation-Based Fast Feature Selection. CoRR Sikai Zhang, Tingna Wang, Keith Worden, Elizabeth J. Cross
2021	J	`jnl`	Damage detection in operational wind turbine blades using a new approach based on machine learning. CoRR Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
2021	J	`jnl`	Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces. CoRR George Tsialiamanis, Charilaos Mylonas, Eleni N. Chatzi, Nikolaos Dervilis, David James Wagg, Keith Worden
2021	J	`jnl`	On risk-based active learning for structural health monitoring. CoRR Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Robert James Barthorpe, Nikolaos Dervilis, Keith Worden
2021	J	`jnl`	Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. CoRR Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
2021	J	`jnl`	Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. CoRR Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers
2020	J	`jnl`	A Bayesian methodology for localising acoustic emission sources in complex structures. CoRR Matthew R. Jones, Timothy J. Rogers, Keith Worden, Elizabeth J. Cross
2020	J	`jnl`	Bayesian graph neural networks for strain-based crack localization. CoRR Charilaos Mylonas, George Tsialiamanis, Keith Worden, Eleni N. Chatzi
2020	J	`jnl`	Emerging Trends in Optimal Structural Health Monitoring System Design: From Sensor Placement to System Evaluation. J. Sens. Actuator Networks Robert James Barthorpe, Keith Worden
2020	J	`jnl`	On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression. CoRR Rajdip Nayek, Ramón Fuentes, Keith Worden, Elizabeth J. Cross
2020	J	`jnl`	Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy. J. Medical Syst. Stefania Chetcuti Zammit, Lawrence A. Bull, David S. Sanders, Jessica Galvin, Nikolaos Dervilis, Reena Sidhu, Keith Worden
2017	—	`conf`	Aspects of computational intelligence in structural dynamics: Structural health monitoring. SSCI Nikolaos Dervilis, Elizabeth J. Cross, Ifigeneia Antoniadou, Charles R. Farrar, Keith Worden
2016	J	`jnl`	Some Recent Developments in SHM Based on Nonstationary Time Series Analysis. Proc. IEEE Keith Worden, Tara Baldacchino, Jennifer Rowson, Elizabeth J. Cross
2015	J	`jnl`	A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm. IEEE Trans. Ind. Electron. Evangelos Papatheou, Nikolaos Dervilis, Andrew Eoghan Maguire, Ifigeneia Antoniadou, Keith Worden
2015	—	`conf`	Estimation of Fingertip Force from Surface EMG - A Multivariate Bayesian Mixture of Experts Approach. BIOSIGNALS Tara Baldacchino, William R. Jacobs, Sean R. Anderson, Keith Worden, Jennifer Rowson
2011	J	`jnl`	Influence of the Autoregressive Model Order on Damage Detection. Comput. Aided Civ. Infrastructure Eng. Eloi Figueiredo, Joaquim Figueiras, Gyuhae Park, Charles R. Farrar, Keith Worden
2007	J	`jnl`	Evaluation of neural network performance and generalisation using thresholding functions. Neural Comput. Appl. S. Gaerth Pierce, Keith Worden, Graeme Manson
2006	J	`jnl`	Evaluation of Neural Network Robust Reliability Using Information-Gap Theory. IEEE Trans. Neural Networks S. Gaerth Pierce, Yakov Ben-Haim, Keith Worden, Graeme Manson
2001	J	`jnl`	Interval Methods in Non-Destructive Testing of Material Structures. Reliab. Comput. Keith Worden, Roberto A. Osegueda, Carlos Ferregut, Soheil Nazarian, Debra L. George, Mary J. George, Vladik Kreinovich, Olga Kosheleva, Sergio D. Cabrera
2000	J	`jnl`	Detection of defects in composite plates using Lamb waves and novelty detection. Int. J. Syst. Sci. Keith Worden, S. Gaerth Pierce, Graeme Manson, W. R. Philp, Wieslaw J. Staszewski, B. Culshaw
2000	J	`jnl`	Intelligent fault detection. Int. J. Syst. Sci. Keith Worden
1997	J	`jnl`	Classification of Faults in Gearboxes - Pre-processing Algorithms and Neural Networks. Neural Comput. Appl. Wieslaw J. Staszewski, Keith Worden