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Deka, B., & Goulet, J. A. (2023). Approximate Gaussian variance inference for state-space models. International Journal of Adaptive Control and Signal Processing, 29 pages. Available
Deka, B., & Goulet, J. A. Online aleatory uncertainty quantification for probabilistic time series models [Paper]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). External link
Deka, B., Ha Nguyen, L., Amiri, S., & Goulet, J. A. (2022). The Gaussian multiplicative approximation for state-space models. Structural Control and Health Monitoring, 29(3), 20 pages. External link
Goulet, J. A., & Nguyen, L.-H. (2023, July). Bayesian neural networks for probabilistic surrogate models - uncertainty quantification, propagation and sensitivity analysis [Paper]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 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
Goulet, J. A., & Koo, K. (2018). Empirical validation of bayesian dynamic linear models in the context of structural health monitoring. Journal of Bridge Engineering, 23(2), 1-15. Available
Goulet, J. A. (2017). Bayesian dynamic linear models for structural health monitoring. Structural Control and Health Monitoring, 24(12), e2035. Available
Goulet, J. A., Michel, C., & Kiureghian, A. D. (2015). Data-driven post-earthquake rapid structural safety assessment. Earthquake Engineering & Structural Dynamics, 44(4), 549-562. Available
Goulet, J. A., Kiureghian, A. D., & Li, B. (2015). Pre-posterior optimization of sequence of measurement and intervention actions under structural reliability constraint. Structural Safety, 52, 1-9. Available
Goulet, J. A., Texier, M., Michel, C., Smith, I. F. C., & Chouinard, L. (2014). Quantifying the effects of modeling simplifications for structural identification of bridges. Journal of Bridge Engineering, 19(1), 59-71. Available
Goulet, J. A., & Smith, I. F.C. (2013). Structural identification with systematic errors and unknown uncertainty dependencies. Computers & Structures, 128, 251-258. Available
Goulet, J. A., & Smith, I. F. C. (2013). Predicting the usefulness of monitoring for identifying the behavior of structures. Journal of Structural Engineering, 139(10), 1716-1727. Available
Goulet, J. A., & Smith, I. F. C. (2013). Performance-driven measurement system design for structural identification. Journal of Computing in Civil Engineering, 27(4), 427-436. Available
Goulet, J. A., Michel, C., & Smith, I. F.C. (2013). Hybrid probabilities and error-domain structural identification using ambient vibration monitoring. Mechanical Systems and Signal Processing, 37(1-2), 199-212. Available
Goulet, J. A., Coutu, S., & Smith, I. F.C. (2013). Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks. Advanced Engineering Informatics, 27(2), 261-269. Available
Goulet, J. A., & Smith, I. F. C. (2013). Case studies of the structural identification of bridges. Langesand Bridge. In Çatbaş, F. N., Kijewski-Correa, T., & Aktan, A. E. (eds.), Structural identification of constructed systems: Approaches, methods, and technologies for effective practice of St-Id (205-208). External link
Goulet, J. A., & Smith, I. F. C. (2013, June). Probabilistic model falsification for structural identification [Paper]. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2013), New York, NY. External link
Goulet, J. A., Smith, I. F. C., Texier, M., & Chouinard, L. (2012, March). The effects of simplifications on model predictions and consequences for model-based data interpretation [Paper]. 20th Analysis and Computation Specialty Conference, Structures Congress 2012, Chicago, Illinois. External link
Goulet, J. A. (2012). Probabilistic model falsification for infrastructure diagnosis [Ph.D. Thesis, École Polytechnique Fédérale de Lausanne]. External link
Goulet, J. A., & Smith, I. F. C. (2011, April). Extended uniform distribution accounting for uncertainty of uncertainty [Paper]. International Conference on Vulnerability and Risk Analysis and Management/Fifth International Symposium on Uncertainty Modeling and Analysis (ICVRAM-ISUMA 2011), Hyattsville, Maryland. External link
Goulet, J. A., & Smith, I. F. C. (2011, April). Overcoming the limitations of traditional model-updating approaches [Paper]. International Conference on Vulnerability and Risk Analysis and Management/Fifth International Symposium on Uncertainty Modeling and Analysis (ICVRAM-ISUMA 2011), Hyattsville, Maryland. External link
Goulet, J. A., & Smith, I. (2011, December). Prevention of over-instrumentation during the design of a monitoring system for static load tests [Paper]. 5th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-5), Cancun, Mexico. External link
Goulet, J. A., & Smith, I. F. C. (2011, August). Uncertainty correlation in structural performance assessment [Paper]. 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP 2011), Zurich, Switzerland. External link
Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (2010). Multimodel structural performance monitoring. Journal of Structural Engineering, 136(10), 1309-1318. Available
Goulet, J. A., & Smith, I. F. C. (2010, September). CMS4SI structural identification approach for interpreting measurements [Paper]. 34th IABSE Symposium, Venise, Italie. External link
Goulet, J. A., & Smith, I. F. C. (2010, June). Predicting usefulness of measuring structures during load tests [Paper]. 13th International Conference on Structural Faults & Repair, Edinburgh, Scotland. External link
Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (2009, June). Considering sensor characteristics during measurement-system design for structural system identification [Paper]. ASCE International Workshop on Computing in Civil Engineering, Austin, Texas. External link
Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (2009, July). Estimation of modelling errors in structural system identification [Paper]. 4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4), Zurich, Switzerland. External link
Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (2009, September). Structural identification to improve bridge management [Paper]. 33rd IABSE Symposium on Sustainable Infrastructure, Bangkok, Thaïlande. External link
Hamida, Z., & Goulet, J. A. (2023). Hierarchical reinforcement learning for transportation infrastructure maintenance planning. Reliability Engineering & System Safety, 235, 109214 (12 pages). External link
Hamida, Z., Laurent, B., & Goulet, J. A. (2022). OpenIPDM: A probabilistic framework for estimating the deterioration and effect of interventions on bridges. SoftwareX, 18, 101077 (6 pages). External link
Hamida, Z., & Goulet, J. A. (2022). Quantifying the effects of interventions based on visual inspections from a network of bridges. Structure and Infrastructure Engineering, 18(8), 1222-1233. External link
Hamida, Z., & Goulet, J. A. (2022). A stochastic model for estimating the network-scale deterioration and effect of interventions on bridges. Structural Control and Health Monitoring, 29(4), 25 pages. External link
Hamida, Z., & Goulet, J. A. (2021). Network-scale deterioration modelling of bridges based on visual inspections and structural attributes. Structural Safety, 88, 102024 (12 pages). External link
Hamida, Z., & Goulet, J. A. (2020). Modeling infrastructure degradation from visual inspections using network-scale state-space models. Structural Control and Health Monitoring, 27(9), 18 pages. External link
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
Laurent, B., Deka, B., Hamida, Z., & Goulet, J. A. (2023). Analytical Inference for Inspectors' Uncertainty Using Network-Scale Visual Inspections. Journal of Computing in Civil Engineering, 37(5), 12 pages. External link
Luo, X., O'Brien, W. J., Leite, F., & Goulet, J. A. (2014). Exploring approaches to improve the performance of autonomous monitoring with imperfect data in location-aware wireless sensor networks. Advanced Engineering Informatics, 28(4), 287-296. External link
Nguyen, L. H., & Goulet, J. A. (2022). Analytically Tractable Hidden-States Inference in Bayesian Neural Networks. Journal of Machine Learning Research, 23(50), 33 pages. 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., & 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
Pasquier, R., Goulet, J. A., & Smith, I. F.C. (2017). Measurement system design for civil infrastructure using expected utility. Advanced Engineering Informatics, 32, 40-51. Available
Pasquier, R., D’Angelo, L., Goulet, J. A., Acevedo, C., Nussbaumer, A., & Smith, I. F. C. (2016). Measurement, data interpretation, and uncertainty propagation for fatigue assessments of structures. Journal of Bridge Engineering, 21(5), 04015087-1. Available
Pasquier, R., Goulet, J. A., Acevedo, C., & Smith, I. F. C. (2014). Improving fatigue evaluations of structures using in-service behavior measurement data. Journal of Bridge Engineering, 19(11), 1-10. Available
Pasquier, R., Goulet, J. A., & Smith, I. F. C. (2013, June). Model-based data interpretation and diagnosis robustness [Paper]. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2011), New York, NY. External link
Pasquier, R., Goulet, J. A., & Smith, I. (2012, July). Reducing uncertainties regarding remaining lives of structures using computer-aided data interpretation [Paper]. 19th Workshop on Intelligent Computing in Engineering (EG-ICE 2012), Munich, Germany. Unavailable
Quach, A. N.-O., Tabor, L., Dumont, D., Courcelles, B., & Goulet, J. A. (2017). A machine learning approach for characterizing soil contamination in the presence of physical site discontinuities and aggregated samples. Advanced Engineering Informatics, 33, 60-67. Available
Smith, I. F. C., Goulet, J. A., & Laory, I. (2013, May). Structural identification methods for full-scale bridges [Paper]. Structures Congress 2013: Bridging Your Passion with Your Profession, Pittsburgh, Pennsylvania. External link
Tabor, L., Goulet, J. A., Charron, J.-P., & Desmettre, C. (2018). Probabilistic modeling of heteroscedastic laboratory experiments using Gaussian process regression. Journal of Engineering Mechanics, 144(6), 1-10. Available
