Nikolaos Dervilis
- (2023): A full-scale wind turbine blade monitoring campaign: detection of damage initiation and progression using medium-frequency active vibrations. In: Structural Health Monitoring, v. 22, n. 6 (April 2023).
- (2022): On statistic alignment for domain adaptation in structural health monitoring. In: Structural Health Monitoring, v. 22, n. 3 (September 2022).
- (2022): Domain-adapted Gaussian mixture models for population-based structural health monitoring. In: Journal of Civil Structural Health Monitoring, v. 12, n. 6 (August 2022).
- (2021): Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 10 (Oktober 2021).
- (2021): Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 7, n. 1 (März 2021).
- (2020): A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring. In: Frontiers in Built Environment, v. 6 (Januar 2020).
- (2018): Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo. In: Frontiers in Built Environment, v. 3 (Februar 2018).
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