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Documents dont l'auteur est "Goulet, James Alexandre"

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Nombre de documents: 67

Amiri, S., Goulet, J. A., Trépanier, M., Morency, C., & Saunier, N. (juillet 2023). Modeling transportation time series using bayesian dynamic linear models [Communication écrite]. World Conference on Transport Research (WCTR 2023), Montréal, Québec. Publié dans Transportation Research Procedia, 82. Disponible

Fakhri, S. A. K., Hamida, Z., & Goulet, J. A. (2024). Scalable probabilistic deterioration model based on visual inspections and structural attributes from large networks of bridges. Advanced Engineering Informatics, 64, 103035 (10 pages). Lien externe

Xin, Z., & Goulet, J. A. (juin 2024). Anomaly detection with switching Kalman filter and imitation learning [Communication écrite]. 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2024), Copenhagen, Denmark. Disponible

Xin, Z., & Goulet, J. A. (juin 2024). Anomaly detection with switching Kalman filter and imitation [Communication écrite]. 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2024), Copenhagen, Denmark. Disponible

Vuong, V.-D., Nguyen, L. H., & Goulet, J. A. (2024). Coupling LSTM neural networks and state-space models through analytically tractable inference. International Journal of Forecasting, 13 pages. Lien externe

Khazaeli, S., & Goulet, J. A. (2024). Damage detection for structural health monitoring using reinforcement and imitation learning. Structure and Infrastructure Engineering, 18 pages. Lien externe

Xin, Z., & Goulet, J. A. (2024). Enhancing structural anomaly detection using a bounded autoregressive component. Mechanical Systems and Signal Processing, 212, 111279# (15 pages). Lien externe

Hamida, Z., & Goulet, J. A. (2024). Quantifying the Relative Change in Maintenance Costs due to Delayed Maintenance Actions in Transportation Infrastructure. Journal of Performance of Constructed Facilities, 38(5), 04024035 (12 pages). Lien externe

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. Lien externe

Deka, B., Nguyen, L. H., & Goulet, J. A. (2023). Analytically tractable heteroscedastic uncertainty quantification in Bayesian neural networks for regression tasks. Neurocomputing, 127183 (20 pages). Lien externe

Deka, B., & Goulet, J. A. (2023). Approximate Gaussian variance inference for state-space models. International Journal of Adaptive Control and Signal Processing, 29 pages. Disponible

Fakhri, S. A. K., Hamida, Z., & Goulet, J. A. (juillet 2023). Bayesian neural networks for large-scale infrastructure deterioration models [Communication écrite]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). Disponible

Goulet, J. A., & Nguyen, L. H. (juillet 2023). Bayesian neural networks for probabilistic surrogate models - uncertainty quantification, propagation and sensitivity analysis [Communication écrite]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). Lien externe

Hamida, Z., & Goulet, J. A. (2023). Hierarchical reinforcement learning for transportation infrastructure maintenance planning. Reliability Engineering & System Safety, 235, 109214 (12 pages). Lien externe

Hamida, Z., & Goulet, J. A. (juillet 2023). Maintenance planning for bridges using hierarchical reinforcement learning [Communication écrite]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). Disponible

Deka, B., & Goulet, J. A. Online aleatory uncertainty quantification for probabilistic time series models [Communication écrite]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). Lien externe

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. Disponible

Vuong, V.-D., & Goulet, J. A. (août 2022). Bayesian Long-Short Term Memory Neural Network for Dam Behavior Prediction [Communication écrite]. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2022), Montreal, QC, Canada. Non disponible

Laurent, B., Hamida, Z., & Goulet, J. A. (août 2022). Estimating the Bias Associated with Inspectors in the Context of Visual Inspections on Infrastructure [Communication écrite]. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2022), Montreal, QC, Canada. Non disponible

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. Lien externe

Hamida, Z., & Goulet, J. A. (août 2022). Modelling the Deterioration of Infrastructure Using Network-Scale Visual Inspections [Communication écrite]. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2022), Montreal, QC, Canada. Non disponible

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). Lien externe

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. Lien externe

Deka, B., & Goulet, J. A. (août 2022). State-based Regression for Modeling the Non-linear Dependency between Time Series [Communication écrite]. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2022), Montreal, QC, Canada. Non disponible

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. Lien externe

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. Lien externe

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). Lien externe

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. Lien externe

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. Lien externe

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. Disponible

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. Lien externe

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). Lien externe

Nguyen, L. H., & Goulet, J. A. (2018). Structural health monitoring with dependence on non-harmonic periodic hidden covariates. Engineering Structures, 166, 187-194. Disponible

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. Disponible

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. Disponible

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. Disponible

Goulet, J. A. (2017). Bayesian dynamic linear models for structural health monitoring. Structural Control and Health Monitoring, 24(12), e2035. Disponible

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. Disponible

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. Disponible

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. Disponible

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. Disponible

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. Disponible

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. Disponible

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. Disponible

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. Lien externe

Goulet, J. A., & Smith, I. F.C. (2013). Structural identification with systematic errors and unknown uncertainty dependencies. Computers & Structures, 128, 251-258. Disponible

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. Disponible

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. Disponible

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. Disponible

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. Disponible

Goulet, J. A., & Smith, I. F. C. (2013). Case studies of the structural identification of bridges. Langesand Bridge. Dans Çatbaş, F. N., Kijewski-Correa, T., & Aktan, A. E. (édit.), Structural identification of constructed systems: Approaches, methods, and technologies for effective practice of St-Id (p. 205-208). Lien externe

Pasquier, R., Goulet, J. A., & Smith, I. F. C. (juin 2013). Model-based data interpretation and diagnosis robustness [Communication écrite]. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2011), New York, NY. Lien externe

Goulet, J. A., & Smith, I. F. C. (juin 2013). Probabilistic model falsification for structural identification [Communication écrite]. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2013), New York, NY. Lien externe

Smith, I. F. C., Goulet, J. A., & Laory, I. (mai 2013). Structural identification methods for full-scale bridges [Communication écrite]. Structures Congress 2013: Bridging Your Passion with Your Profession, Pittsburgh, Pennsylvania. Lien externe

Goulet, J. A., Smith, I. F. C., Texier, M., & Chouinard, L. (mars 2012). The effects of simplifications on model predictions and consequences for model-based data interpretation [Communication écrite]. 20th Analysis and Computation Specialty Conference, Structures Congress 2012, Chicago, Illinois. Lien externe

Goulet, J. A. (2012). Probabilistic model falsification for infrastructure diagnosis [Thèse de doctorat, École Polytechnique Fédérale de Lausanne]. Lien externe

Pasquier, R., Goulet, J. A., & Smith, I. (juillet 2012). Reducing uncertainties regarding remaining lives of structures using computer-aided data interpretation [Communication écrite]. 19th Workshop on Intelligent Computing in Engineering (EG-ICE 2012), Munich, Germany. Non disponible

Goulet, J. A., & Smith, I. F. C. (avril 2011). Extended uniform distribution accounting for uncertainty of uncertainty [Communication écrite]. International Conference on Vulnerability and Risk Analysis and Management/Fifth International Symposium on Uncertainty Modeling and Analysis (ICVRAM-ISUMA 2011), Hyattsville, Maryland. Lien externe

Goulet, J. A., & Smith, I. F. C. (avril 2011). Overcoming the limitations of traditional model-updating approaches [Communication écrite]. International Conference on Vulnerability and Risk Analysis and Management/Fifth International Symposium on Uncertainty Modeling and Analysis (ICVRAM-ISUMA 2011), Hyattsville, Maryland. Lien externe

Goulet, J. A., & Smith, I. (décembre 2011). Prevention of over-instrumentation during the design of a monitoring system for static load tests [Communication écrite]. 5th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-5), Cancun, Mexico. Lien externe

Goulet, J. A., & Smith, I. F. C. (août 2011). Uncertainty correlation in structural performance assessment [Communication écrite]. 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP 2011), Zurich, Switzerland. Lien externe

Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (2010). Multimodel structural performance monitoring. Journal of Structural Engineering, 136(10), 1309-1318. Disponible

Goulet, J. A., & Smith, I. F. C. (septembre 2010). CMS4SI structural identification approach for interpreting measurements [Communication écrite]. 34th IABSE Symposium, Venise, Italie. Lien externe

Goulet, J. A., & Smith, I. F. C. (juin 2010). Predicting usefulness of measuring structures during load tests [Communication écrite]. 13th International Conference on Structural Faults & Repair, Edinburgh, Scotland. Lien externe

Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (juin 2009). Considering sensor characteristics during measurement-system design for structural system identification [Communication écrite]. ASCE International Workshop on Computing in Civil Engineering, Austin, Texas. Lien externe

Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (juillet 2009). Estimation of modelling errors in structural system identification [Communication écrite]. 4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4), Zurich, Switzerland. Lien externe

Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (septembre 2009). Structural identification to improve bridge management [Communication écrite]. 33rd IABSE Symposium on Sustainable Infrastructure, Bangkok, Thaïlande. Lien externe

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