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Lawrence A. Bull
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2020 – today
- 2024
- [i17]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 abs/2402.19295 (2024) - [i16]Simon M. Brealy, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
Multitask learning for improved scour detection: A dynamic wave tank study. CoRR abs/2408.16527 (2024) - 2023
- [j2]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): 821-848 (2023) - [i15]S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. CoRR abs/2303.04486 (2023) - [i14]Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew B. Duncan, Mark Girolami:
Encoding Domain Expertise into Multilevel Models for Source Location. CoRR abs/2305.08657 (2023) - [i13]Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
When is an SHM problem a Multi-Task-Learning problem? CoRR abs/2305.09425 (2023) - [i12]Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden
On the hierarchical Bayesian modelling of frequency response functions. CoRR abs/2307.06263 (2023) - [i11]Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting. CoRR abs/2310.05807 (2023) - 2022
- [i10]Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
On robust risk-based active-learning algorithms for enhanced decision support. CoRR abs/2201.02555 (2022) - [i9]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 abs/2203.07115 (2022) - [i8]Lawrence A. Bull, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami:
Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning. CoRR abs/2204.12404 (2022) - [i7]Jack Poole, Paul Gardner, Nikolaos Dervilis, Lawrence A. Bull, Keith Worden
On statistic alignment for domain adaptation in structural health monitoring. CoRR abs/2205.12052 (2022) - [i6]Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers. CoRR abs/2206.11616 (2022) - [i5]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 abs/2206.11683 (2022) - [i4]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 abs/2206.12598 (2022) - 2021
- [i3]Lawrence A. Bull, Paul Gardner, Timothy J. Rogers
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. CoRR abs/2103.01676 (2021) - [i2]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 abs/2105.05622 (2021) - [i1]Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. CoRR abs/2111.15496 (2021) - 2020
- [j1]Stefania Chetcuti Zammit
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): 195 (2020)
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