Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. - Marcus Haywood-Alexander; Nikolaos Dervilis; Keith Worden; Elizabeth J. Cross; Robin S. Mills; Timothy J. Rogers 003 (CoRR, 2021)

Modelling variability in vibration-based PBSHM via a generalised population form. - Tina A. Dardeno; Lawrence A. Bull; Robin S. Mills; Nikolaos Dervilis; Keith Worden (CoRR, 2022)

On the application of population-based structural health monitoring in aerospace engineering. - Daniel S. Brennan; Julian Gosliga; Paul Gardner; Robin S. Mills; Keith Worden (Frontiers Robotics AI, 2022)

Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. - S. C. Bee; Evangelos Papatheou; Marcus Haywood-Alexander; Robin S. Mills; Lawrence A. Bull; Keith Worden; Nikolaos Dervilis (CoRR, 2023)

On the hierarchical Bayesian modelling of frequency response functions. - Tina A. Dardeno; Robin S. Mills; Nikolaos Dervilis; Keith Worden; Lawrence A. Bull (CoRR, 2023)

Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods. - Marcus Haywood-Alexander; Robin S. Mills; Max D. Champneys; Matthew R. Jones; Matthew S. Bonney; David J. Wagg; Timothy J. Rogers 003 (CoRR, 2023)

A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. - Marcus Haywood-Alexander; Nikolaos Dervilis; Keith Worden; Robin S. Mills; Purim Ladpli; Timothy J. Rogers 003 (Sensors, 2023)

Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring. - James Wilson; Max D. Champneys; Matt Tipuric; Robin S. Mills; David J. Wagg; Timothy J. Rogers 003 (CoRR, 2024)

Multitask learning for improved scour detection: A dynamic wave tank study. - Simon M. Brealy; Aidan J. Hughes; Tina A. Dardeno; Lawrence A. Bull; Robin S. Mills; Nikolaos Dervilis; Keith Worden (CoRR, 2024)

Physics-informed transfer learning for SHM via feature selection. - Jack Poole; Paul Gardner; Aidan J. Hughes; Nikolaos Dervilis; Robin S. Mills; Tina A. Dardeno; Keith Worden (CoRR, 2025)