Network Coordinates in the Wild. - Jonathan Ledlie; Paul Gardner; Margo I. Seltzer (NSDI, 2007)

Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. - Lawrence A. Bull; Paul Gardner; Timothy J. Rogers 003; Elizabeth J. Cross; Nikolaos Dervilis; Keith Worden (CoRR, 2021)

On risk-based active learning for structural health monitoring. - Aidan J. Hughes; Lawrence A. Bull; Paul Gardner; Robert James Barthorpe; Nikolaos Dervilis; Keith Worden (CoRR, 2021)

On robust risk-based active-learning algorithms for enhanced decision support. - Aidan J. Hughes; Lawrence A. Bull; Paul Gardner; Nikolaos Dervilis; Keith Worden (CoRR, 2022)

On statistic alignment for domain adaptation in structural health monitoring. - Jack Poole; Paul Gardner; Nikolaos Dervilis; Lawrence A. Bull; Keith Worden (CoRR, 2022)

Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers. - Aidan J. Hughes; Paul Gardner; Lawrence A. Bull; Nikolaos Dervilis; Keith Worden (CoRR, 2022)

Mitigating sampling bias in risk-based active learning via an EM algorithm. - Aidan J. Hughes; Lawrence A. Bull; Paul Gardner; 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)

Towards risk-informed PBSHM: Populations as hierarchical systems. - Aidan J. Hughes; Paul Gardner; Keith Worden (CoRR, 2023)

A decision framework for selecting information-transfer strategies in population-based SHM. - Aidan J. Hughes; Jack Poole; Nikolaos Dervilis; Paul Gardner; Keith Worden (CoRR, 2023)

Quantifying the value of information transfer in population-based SHM. - Aidan J. Hughes; Jack Poole; Nikolaos Dervilis; Paul Gardner; Keith Worden (CoRR, 2023)

Calibrating the Discrete Boundary Conditions of a Dynamic Simulation: A Combinatorial Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) Approach. - Jah Shamas; Timothy J. Rogers 003; Anton Krynkin; Jevgenija Prisutova; Paul Gardner; Kirill V. Horoshenkov; Samuel R. Shelley; Paul Dickenson (Sensors, 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)

Active transfer learning for structural health monitoring. - Jack Poole; Nikolaos Dervilis; Keith Worden; Paul Gardner; V. Giglioni; Robin S. Mills; Aidan J. Hughes (CoRR, 2025)