Robin S. Mills

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
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`	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
2024	J	`jnl`	Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring. CoRR James Wilson, Max D. Champneys, Matt Tipuric, Robin S. Mills, David James Wagg, Timothy J. Rogers
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
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`	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`	Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods. CoRR Marcus Haywood-Alexander, Robin S. Mills, Max D. Champneys, Matthew R. Jones, Matthew S. Bonney, David James Wagg, Timothy J. Rogers
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
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 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
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