Lawrence A. Bull

27 papers Journal 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On Additive Gaussian Processes for Wind Farm Power Prediction. CoRR Simon M. Brealy, Lawrence A. Bull, Daniel S. Brennan, Pauline Beltrando, Anders Sommer, Nikolaos Dervilis, Keith Worden
2026	J	`jnl`	Transfer learning via interpolating structures. CoRR Tina A. Dardeno, Aidan J. Hughes, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
2025	J	`jnl`	Collaborative prognosis using a Weibull statistical hierarchical model. Reliab. Eng. Syst. Saf. Maharshi Harshadbhai Dhada, Lawrence A. Bull, Mark Girolami, Ajith Kumar Parlikad
2025	J	`jnl`	Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning. CoRR Simon M. Brealy, Lawrence A. Bull, Pauline Beltrando, Anders Sommer, Nikolaos Dervilis, Keith Worden
2025	J	`jnl`	Multi-Task Equation Discovery. CoRR S. C. Bee, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull
2025	J	`jnl`	Regularising NARX models with multi-task learning. CoRR Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2024	J	`jnl`	Active learning for regression in engineering populations: A risk-informed approach. CoRR Daniel R. Clarkson, Lawrence A. Bull, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes
2024	J	`jnl`	Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling. CoRR S. M. Smith, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2024	J	`jnl`	Multitask learning for improved scour detection: A dynamic wave tank study. CoRR Simon M. Brealy, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
2024	J	`jnl`	When does a bridge become an aeroplane? CoRR Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2023	J	`jnl`	Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. CoRR S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis
2023	J	`jnl`	Encoding Domain Expertise into Multilevel Models for Source Location. CoRR Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew B. Duncan, Mark Girolami
2023	J	`jnl`	Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning. Comput. Aided Civ. Infrastructure Eng. Lawrence A. Bull, Domenic Di Francesco, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami
2023	J	`jnl`	On the hierarchical Bayesian modelling of frequency response functions. CoRR Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull
2023	J	`jnl`	Sharing Information Between Machine Tools to Improve Surface Finish Forecasting. CoRR 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
2023	J	`jnl`	When is an SHM problem a Multi-Task-Learning problem? CoRR Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes. CoRR Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers. CoRR Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning. CoRR Lawrence A. Bull, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami
2022	J	`jnl`	Mitigating sampling bias in risk-based active learning via an EM algorithm. CoRR Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	Modelling variability in vibration-based PBSHM via a generalised population form. CoRR Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On robust risk-based active-learning algorithms for enhanced decision support. CoRR Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden
2022	J	`jnl`	On statistic alignment for domain adaptation in structural health monitoring. CoRR Jack Poole, Paul Gardner, Nikolaos Dervilis, Lawrence A. Bull, Keith Worden
2021	J	`jnl`	Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm. CoRR Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden
2021	J	`jnl`	On risk-based active learning for structural health monitoring. CoRR Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Robert James Barthorpe, Nikolaos Dervilis, Keith Worden
2021	J	`jnl`	Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. CoRR Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden
2020	J	`jnl`	Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy. J. Medical Syst. Stefania Chetcuti Zammit, Lawrence A. Bull, David S. Sanders, Jessica Galvin, Nikolaos Dervilis, Reena Sidhu, Keith Worden