On risk-based active learning for structural health monitoring

On risk-based active learning for structural health monitoring

12 May 2021

K. Worden

Papers citing "On risk-based active learning for structural health monitoring"

7 / 7 papers shown

Title
Active learning for regression in engineering populations: A risk-informed approach Daniel R. Clarkson L. Bull C. Wickramarachchi Elizabeth J. Cross T. Rogers Keith Worden Nikolaos Dervilis A. Hughes 20 0 0 06 Sep 2024
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems Giacomo Arcieri C. Hoelzl Oliver Schwery D. Štraub K. Papakonstantinou Eleni Chatzi 27 23 0 15 Dec 2022
Deep learning for structural health monitoring: An application to heritage structures F. Carrara Fabrizio Falchi M. Girardi Nicola Messina C. Padovani D. Pellegrini 21 2 0 04 Nov 2022
Mitigating sampling bias in risk-based active learning via an EM algorithm A. Hughes L. Bull P. Gardner N. Dervilis Keith Worden 20 0 0 25 Jun 2022
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers A. Hughes P. Gardner L. Bull N. Dervilis Keith Worden 14 0 0 23 Jun 2022
On statistic alignment for domain adaptation in structural health monitoring J. Poole P. Gardner N. Dervilis L. Bull Keith Worden 26 27 0 24 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 40 85 0 13 Apr 2022