Lawrence A. Bull

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Multitask Learning

Hierarchical Bayesian

Domain Expertise

Top Venues

J. Medical Syst.

Comput. Aided Civ. Infrastructure Eng.

Publications

S. M. Smith, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling. CoRR (2024)
Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull
On the hierarchical Bayesian modelling of frequency response functions. CoRR (2023)
Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew B. Duncan, Mark Girolami
Encoding Domain Expertise into Multilevel Models for Source Location. CoRR (2023)
Lawrence A. Bull, Domenic Di Francesco, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning. Comput. Aided Civ. Infrastructure Eng. 38 (7) (2023)
S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. CoRR (2023)
Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
When is an SHM problem a Multi-Task-Learning problem? CoRR (2023)
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
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting. CoRR (2023)
Jack Poole, Paul Gardner, Nikolaos Dervilis, Lawrence A. Bull, Keith Worden
On statistic alignment for domain adaptation in structural health monitoring. CoRR (2022)
Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes. CoRR (2022)
Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
Mitigating sampling bias in risk-based active learning via an EM algorithm. CoRR (2022)
Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers. CoRR (2022)
Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
Modelling variability in vibration-based PBSHM via a generalised population form. CoRR (2022)
Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
On robust risk-based active-learning algorithms for enhanced decision support. CoRR (2022)
Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. CoRR (2021)
Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. CoRR (2021)
Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Robert James Barthorpe, Nikolaos Dervilis, Keith Worden
On risk-based active learning for structural health monitoring. CoRR (2021)
Stefania Chetcuti Zammit, Lawrence A. Bull, David S. Sanders, Jessica Galvin, Nikolaos Dervilis, Reena Sidhu, Keith Worden
Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy. J. Medical Syst. 44 (11) (2020)