| 1 |
Gardner, Bull, Gosliga, Poole, Dervilis, Worden A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings (2022) |
| 2 |
Bull, Dhada, Steinert, Lindgren, Parlikad, Duncan, Girolami Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning (2022) |
| 3 |
Bull, Gardner, Rogers, Dervilis, Cross, Papatheou, Maguire, Campos, Worden Bayesian modelling of multivalued power curves from an operational wind farm (2022) |
| 4 |
Gardner, Bull, Dervilis, Worden Domain-adapted Gaussian mixture models for population-based structural health monitoring (2022) |
| 5 |
Bull, Dhada, Steinert, Lindgren, Parlikad, Girolami Population-Level Modelling for Truck Fleet Survival Analysis (2022) |
| 6 |
Gardner, Bull, Dervilis, Worden On the application of kernelised Bayesian transfer learning to population-based structural health monitoring (2022) |
| 7 |
Hughes, Bull, Gardner, Barthorpe, Dervilis, Worden On risk-based active learning for structural health monitoring (2022) |
| 8 |
Dardeno, Bull, Mills, Dervilis, Worden Modelling variability in vibration-based PBSHM via a generalised population form (2022) |
| 9 |
Hughes, Bull, Gardner, Dervilis, Worden On robust risk-based active-learning algorithms for enhanced decision support (2022) |
| 10 |
Bull, Hughes, Rogers, Gardner, Worden, Dervilis Partially Supervised Learning for Data-Driven Structural Health Monitoring (2022) |
| 11 |
Gardner, Bull, Gosliga, Dervilis, Cross, Papatheou, Worden Population-Based Structural Health Monitoring (2022) |
| 12 |
Gardner, Bull, Dervilis, Worden Challenges for SHM from Structural Repairs: An Outlier-Informed Domain Adaptation Approach (2022) |
| 13 |
Gardner, Bull, Dervilis, Worden On the Application of Heterogeneous Transfer Learning to Population-Based Structural Health Monitoring (2022) |
| 14 |
Bull, Gardner, Dervilis, Papatheou, Haywood-Alexander, Mills, Worden Transferring Damage Detectors Between Tailplane Experiments (2022) |
| 15 |
Gardner, Bull, Dervilis, Worden Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning (2021) |
| 16 |
Hughes, Bull, Gardner, Barthorpe, Dervilis, Worden A risk-based active learning approach to inspection scheduling (2021) |
| 17 |
Bull, Gardner, Dervilis, Papatheou, Haywood-Alexander, Mills, Worden On the transfer of damage detectors between structures: an experimental case study (2021) |
| 18 |
Bull, Gardner, Rogers, Cross, Dervilis, Worden Probabilistic inference for structural health monitoring: new modes of learning from data (2021) |
| 19 |
Gardner, Bull, Gosliga, Dervilis, Worden Foundations of population-based SHM, part III: heterogeneous populations–mapping and transfer (2021) |
| 20 |
Bull, Gardner, Gosliga, Rogers, Dervilis, Cross, Papatheou, Maguire, Campos, Worden Foundations of population-based SHM, part I: homogeneous populations and forms (2021) |
| 21 |
Gosliga, Gardner, Bull, Dervilis, Worden Foundations of Population-based SHM, Part II: Heterogeneous populations–Graphs, networks, and communities (2021) |
| 22 |
Bull, Gardner, Dervilis, Papatheou, Worden Automated Feature Extraction for Damage Detection: A Pseudo-fault Framework for Population-based SHM (2021) |
| 23 |
Gosliga, Gardner, Bull, Dervilis, Worden Foundations of population-based structural health monitoring, Part II: Heterogeneous populations and structures as graphs, networks, and communities (2021) |
| 24 |
Bull, Gardner, Dervilis, Worden Normalising Flows and Nonlinear Normal Modes (2021) |
| 25 |
Gosliga, Gardner, Bull, Dervilis, Worden Towards population-based structural health monitoring, Part III: Graphs, networks and communities (2021) |
| 26 |
Gosliga, Gardner, Bull, Dervilis, Worden Towards population-based structural health monitoring, Part II: heterogeneous populations and structures as graphs (2021) |
| 27 |
Zammit, Bull, Sanders, Galvin, Dervilis, Sidhu, Worden Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy (2020) |
| 28 |
Bull, Gardner, Rogers, Cross, Dervilis, Worden New Modes of Inference for Probabilistic SHM (2020) |
| 29 |
Bull, Worden, Dervilis Towards semi-supervised and probabilistic classification in structural health monitoring (2020) |
| 30 |
Fuentes, Cross, Gardner, Bull, Rogers, Barthorpe, Shi, Dervilis, Farrar, Worden Structural Health Monitoring and Damage Identification (2020) |
| 31 |
Gardner, Bull, Gosliga, Dervilis, Worden Towards population-based structural health monitoring, Part IV: heterogeneous populations, transfer and mapping (2020) |
| 32 |
Gardner, Bull, Dervilis, Worden Kernelised Bayesian transfer learning for population-based structural health monitoring (2020) |
| 33 |
Bull, Gardner, Gosliga, Dervilis, Papatheou, Maguire, Campos, Rogers, Cross, Worden Towards population-based structural health monitoring, Part I: Homogeneous populations and forms (2020) |
| 34 |
Worden, Bull, Gardner, Gosliga, Rogers, Cross, Papatheou, Lin, Dervilis A brief introduction to recent developments in population-based structural health monitoring (2020) |
| 35 |
Bull, Worden, Rogers, Cross, Dervilis Investigating engineering data by probabilistic measures (2020) |
| 36 |
Bull, Rogers, Wickramarachchi, Cross, Worden, Dervilis Probabilistic active learning: an online framework for structural health monitoring (2019) |
| 37 |
Bull, Worden, Fuentes, Manson, Cross, Dervilis Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data (2019) |
| 38 |
Bull, Worden, Rogers, Wickramarachchi, Cross, McLeay, Leahy, Dervilis A probabilistic framework for online structural health monitoring: active learning from machining data streams (2019) |
| 39 |
Bull, Rogers, Dervilis, Cross, Worden A Gaussian process form for population-based structural health monitoring (2019) |
| 40 |
Bull, Dervilis, Worden Experimental Validation of the Population-Form to Represent Nominally-Identical Systems (2019) |
| 41 |
Bull Towards probabilistic and partially-supervised structural health monitoring (2019) |
| 42 |
Bull, Worden, Dervilis Damage classification using labelled and unlabelled measurements (2019) |
| 43 |
Dervilis, Zhang, Bull, Cross, Rogers, Fuentes, Dertimanis, Abdallah, Chatzi, Worden A nonlinear robust outlier detection approach for SHM (2019) |
| 44 |
Bull, Manson, Worden, Dervilis Active Learning Approaches to Structural Health Monitoring (2019) |
| 45 |
Bull, Worden, Manson, Dervilis Active learning for semi-supervised structural health monitoring (2018) |
| 46 |
Bull, Worden, Cross, Dervilis Outlier Ensembles: an Alternative Robust Method for Inclusive Outlier Analysis with Structural Health Monitoring Data (2018) |
