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Khazaeli, S., Nguyen, L. H., & Goulet, J. A. (2021). Anomaly detection using state-space models and reinforcement learning. Structural Control and Health Monitoring, 28(6), 23 pages. External link
Goulet, J. A., Nguyen, L. H., & Amiri, S. (2021). Tractable Approximate Gaussian Inference for Bayesian Neural Networks. Journal of Machine Learning Research, 22(251), 23 pages. External link
Nguyen, L. H. (2019). Real-time Anomaly Detection in the Behaviour of Structures [Ph.D. thesis, Polytechnique Montréal]. Available
Nguyen, L. H., Gaudot, I., Khazaeli, S., & Goulet, J. A. (2019). A kernel-based method for modeling non-harmonic periodic phenomena in bayesian dynamic linear models. Frontiers in Built Environment, 5, 8. Available
Nguyen, L. H., Gaudot, I., Khazaeli, S., & Goulet, J. A. (2019). A Kernel-based method for modeling non-harmonic periodic phenomena in Bayesian Dynamic Linar Models. Frontiers in Built Environment, 5. External link
Nguyen, L. H., & Goulet, J. A. (2019). Real-time anomaly detection with Bayesian dynamic linear models. Structural Control and Health Monitoring, 26(9), 17 pages. External link
Nguyen, L. H., Gaudot, I., & Goulet, J. A. (2019). Uncertainty quantification for model parameters and hidden state variables in Bayesian dynamic linear models. Structural Control & Health Monitoring, 26(3), e2309 (20 pages). External link
Nguyen, L. H., & Goulet, J. A. (2018). Structural health monitoring with dependence on non-harmonic periodic hidden covariates. Engineering Structures, 166, 187-194. Available
Nguyen, L. H., & Goulet, J. A. (2018). Anomaly detection with the Switching Kalman Filter for structural health monitoring. Structural Control and Health Monitoring, 25(4), 1-18. Available
