15 citations · 16 across the 4 of their papers we have counts for
5 papers
Equation discovery with Bayesian tree-adjoining grammars
Christopher A. Lindley, Nikolaos Dervilis, Keith Worden
Tree-Adjoining Grammars (TAGs) have recently been introduced to Nonlinear System Identification (NLSI) as a means of encoding an entire model class as a finite set of grammatical r…
Quantifying the value of positive transfer: An experimental case study
Aidan J. Hughes, Giulia Delo, Jack Poole +2
In traditional approaches to structural health monitoring, challenges often arise associated with the availability of labelled data. Population-based structural health monitoring s…
Quantifying the value of information transfer in population-based SHM
Aidan J. Hughes, Jack Poole, Nikolaos Dervilis +2
Population-based structural health monitoring (PBSHM), seeks to address some of the limitations associated with data scarcity that arise in traditional SHM. A tenet of the populati…
On the hierarchical Bayesian modelling of frequency response functions
T. A. Dardeno, K. Worden, N. Dervilis +2
For situations that may benefit from information sharing among datasets, e.g., population-based SHM of similar structures, the hierarchical Bayesian approach provides a useful mode…
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets
S. C. Bee, E. Papatheou, M Haywood-Alexander +4
There have been recent efforts to move to population-based structural health monitoring (PBSHM) systems. One area of PBSHM which has been recognised for potential development is th…