:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dardeno, T. A., Hughes, A. J., Bull, L. A., Mills, R. S., Dervilis, N., Worden, K.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.22621
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the hierarchical Bayesian modelling of frequency response functions
by: Dardeno, T. A., et al.
Published: (2023)

Physics-informed transfer learning for SHM via feature selection
by: Poole, J., et al.
Published: (2025)

Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling
by: Smith, S. M., et al.
Published: (2024)

Multitask learning for improved scour detection: A dynamic wave tank study
by: Brealy, Simon M., et al.
Published: (2024)

When does a bridge become an aeroplane?
by: Dardeno, Tina A., et al.
Published: (2024)

Active transfer learning for structural health monitoring
by: Poole, J., et al.
Published: (2025)

Multi-Task Equation Discovery
by: Bee, S C, et al.
Published: (2025)

Regularising NARX models with multi-task learning
by: Bee, Sarah, et al.
Published: (2025)

Towards an active-learning approach to resource allocation for population-based damage prognosis
by: Tsialiamanis, George, et al.
Published: (2024)

Cost-informed dimensionality reduction for structural digital twin technologies
by: Hughes, Aidan J., et al.
Published: (2024)

On the use of Statistical Learning Theory for model selection in Structural Health Monitoring
by: Lindley, C. A., et al.
Published: (2025)

On the topology and geometry of population-based SHM
by: Worden, Keith, et al.
Published: (2024)

Active learning for regression in engineering populations: A risk-informed approach
by: Clarkson, Daniel R., et al.
Published: (2024)

Towards a population-informed approach to the definition of data-driven models for structural dynamics
by: Tsialiamanis, G., et al.
Published: (2023)

Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning
by: Brealy, Simon M., et al.
Published: (2025)

Quantifying the value of positive transfer: An experimental case study
by: Hughes, Aidan J., et al.
Published: (2024)

On Additive Gaussian Processes for Wind Farm Power Prediction
by: Brealy, Simon M., et al.
Published: (2026)

Meta-models for transfer learning in source localisation
by: Bull, Lawrence A., et al.
Published: (2023)

Engineering Microbial Symbiosis for Mars Habitability
by: Correll, Randall R., et al.
Published: (2025)

Transfer learning driven design optimization for inertial confinement fusion
by: Humbird, K. D., et al.
Published: (2022)

Generalization error of min-norm interpolators in transfer learning
by: Song, Yanke, et al.
Published: (2024)

Interpolating neural network: A novel unification of machine learning and interpolation theory
by: Park, Chanwook, et al.
Published: (2024)

Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling
by: Rudravaram, Gaurav, et al.
Published: (2026)

Transfer learning via Regularized Linear Discriminant Analysis
by: Zhang, Hongzhe, et al.
Published: (2025)

Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring
by: Zhang, Sikai, et al.
Published: (2021)

Nonlinear denoising score matching for enhanced learning of structured distributions
by: Birrell, Jeremiah, et al.
Published: (2024)

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints
by: Ramos, David, et al.
Published: (2025)

Transfer in Sequential Multi-armed Bandits via Reward Samples
by: R, Rahul N, et al.
Published: (2024)

Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
by: Harvey, Ethan, et al.
Published: (2024)

TriForces: Augmenting Atomistic GNNs for Transferable Representations
by: Ramlaoui, Ali, et al.
Published: (2026)

Evaluating representation learning on the protein structure universe
by: Jamasb, Arian R., et al.
Published: (2024)

Towards a Generalisable Cyber Defence Agent for Real-World Computer Networks
by: Dudman, Tim, et al.
Published: (2025)

DeepAtlas: a tool for effective manifold learning
by: Hughes, Serena, et al.
Published: (2025)

Deep learning for predicting hauling fleet production capacity under uncertainties in open pit mines using real and simulated data
by: Guerin, N, et al.
Published: (2025)

Transfer Q-learning
by: Chen, Elynn, et al.
Published: (2022)

Transfer learning applications for anomaly detection in wind turbines
by: Roelofs, Cyriana M. A., et al.
Published: (2024)

FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs
by: Worden, Eamon, et al.
Published: (2026)

Sobolev norm inconsistency of kernel interpolation
by: Yang, Yunfei
Published: (2025)

Stochastic interpolants with data-dependent couplings
by: Albergo, Michael S., et al.
Published: (2023)

Transfer learning with affine model transformation
by: Minami, Shunya, et al.
Published: (2022)