Nikolaos Dervilis
Orcid: 0000-0002-5712-7323
According to our database1,
Nikolaos Dervilis
authored at least 47 papers
between 2015 and 2025.
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2024
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Bibliography
2025
2024
Towards an active-learning approach to resource allocation for population-based damage prognosis.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling.
CoRR, 2024
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems.
CoRR, 2024
2023
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves.
Sensors, 2023
CoRR, 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics.
CoRR, 2023
A decision framework for selecting information-transfer strategies in population-based SHM.
CoRR, 2023
VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems.
CoRR, 2023
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets.
CoRR, 2023
2022
On topological data analysis for structural dynamics: an introduction to persistent homology.
CoRR, 2022
On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation.
CoRR, 2022
CoRR, 2022
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes.
CoRR, 2022
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks.
CoRR, 2022
On generating parametrised structural data using conditional generative adversarial networks.
CoRR, 2022
CoRR, 2022
CoRR, 2022
2021
CoRR, 2021
Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks.
CoRR, 2021
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces.
CoRR, 2021
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data.
CoRR, 2021
Damage detection in operational wind turbine blades using a new approach based on machine learning.
CoRR, 2021
CoRR, 2021
2020
Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy.
J. Medical Syst., 2020
CoRR, 2020
2017
Aspects of computational intelligence in structural dynamics: Structural health monitoring.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2015
IEEE Trans. Ind. Electron., 2015