Cover Image

Physics-informed transfer learning for SHM via feature selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Poole, J., Gardner, P., Hughes, A. J., Dervilis, N., Mills, R. S., Dardeno, T. A., Worden, K.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Transfer learning via interpolating structures
by: Dardeno, T. A., et al.
Published: (2026)

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

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

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

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

Quantifying the value of positive transfer: An experimental case study
by: Hughes, Aidan J., 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)

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

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

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

An information theoretic approach to quantify the stability of feature selection and ranking algorithms
by: Alaiz-Rodriguez, et al.
Published: (2024)

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

Dynamic feature selection in medical predictive monitoring by reinforcement learning
by: Chen, Yutong, et al.
Published: (2024)

Enhancing robustness of data-driven SHM models: adversarial training with circle loss
by: Yang, Xiangli, et al.
Published: (2024)

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

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

On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach
by: Yeregui, Josu, et al.
Published: (2025)

A comparative study on feature selection for a risk prediction model for colorectal cancer
by: Cueto-López, N., et al.
Published: (2024)

Data curation via joint example selection further accelerates multimodal learning
by: Evans, Talfan, et al.
Published: (2024)

GRASP: group-Shapley feature selection for patients
by: Luo, Yuheng, et al.
Published: (2026)

Class-specific feature selection for classification explainability
by: Aguilar-Ruiz, Jesus S.
Published: (2024)

Improving statistical learning methods via features selection without replacement sampling and random projection
by: khan, Sulaiman, et al.
Published: (2025)

Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare
by: Maji, Prasenjit, et al.
Published: (2024)

Why Isn't Relational Learning Taking Over the World?
by: Poole, David
Published: (2025)

Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems
by: Chen, Yuepeng, et al.
Published: (2024)

An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
by: Alam, Md Ferdous, et al.
Published: (2023)

Task diversity produces systematic transfer but inhibits continual reinforcement learning
by: Seth, Purab, et al.
Published: (2026)

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions
by: Papastathopoulos-Katsaros, Athanasios, et al.
Published: (2025)

Permutation-based multi-objective evolutionary feature selection for high-dimensional data
by: Espinosa, Raquel, et al.
Published: (2025)

Novel GPU Boruta algorithms for feature selection from high-dimensional data
by: Li, Xurui, et al.
Published: (2026)

Active teacher selection for reward learning
by: Freedman, Rachel, et al.
Published: (2023)

Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins
by: Sun, Xiaowu, et al.
Published: (2025)

Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning
by: Wang, Xinrui, et al.
Published: (2024)

Feature contamination: Neural networks learn uncorrelated features and fail to generalize
by: Zhang, Tianren, et al.
Published: (2024)

Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
by: Li, Zhongzhi, et al.
Published: (2024)

Causal feature selection framework for stable soft sensor modeling based on time-delayed cross mapping
by: Chen, Shi-Shun, et al.
Published: (2026)

Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning
by: Qiu, Ruizhong, et al.
Published: (2026)

Physics-informed active learning for accelerating quantum chemical simulations
by: Hou, Yi-Fan, et al.
Published: (2024)