Lawrence A. Bull

According to our database, Lawrence A. Bull authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling.

S. M. Smith, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden

CoRR, 2024

2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting.

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

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

When is an SHM problem a Multi-Task-Learning problem?

Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden

CoRR, 2023

Encoding Domain Expertise into Multilevel Models for Source Location.

Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew B. Duncan, Mark Girolami

CoRR, 2023

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

Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning.

Lawrence A. Bull, Domenic Di Francesco, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami

Comput. Aided Civ. Infrastructure Eng., 2023

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

A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes.

Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, 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

On statistic alignment for domain adaptation in structural health monitoring.

Jack Poole, Paul Gardner, Nikolaos Dervilis, Lawrence A. Bull, Keith Worden

CoRR, 2022

Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning.

Lawrence A. Bull, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami

CoRR, 2022

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 robust risk-based active-learning algorithms for enhanced decision support.

Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden

CoRR, 2022

2021

Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm.

Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, 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

Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data.

Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2021

2020

Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy.

Stefania Chetcuti Zammit, Lawrence A. Bull, David S. Sanders, Jessica Galvin, Nikolaos Dervilis, Reena Sidhu, Keith Worden

J. Medical Syst., 2020