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Goulet, James Alexandre

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Goulet, James Alexandre

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Article de revue (40) Communication de conférence (25) Livre Chapitre de livre (1) Brevet Rapport Thèse (1) Ensemble de données Ressource pédagogique Image Enregistrement audio Enregistrement vidéo Autre

James Goulet (67)

Articles de revue (40)
- 2024
  - 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.
  - Khazaeli, S., & Goulet, J. A. (2024). Damage detection for structural health monitoring using reinforcement and imitation learning. Structure and Infrastructure Engineering, 18 pages.
  - Xin, Z., & Goulet, J. A. (2024). Enhancing structural anomaly detection using a bounded autoregressive component. Mechanical Systems and Signal Processing, 212, 111279# (15 pages).
  - 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).
  - 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).
- 2023
  - 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.
  - 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).
  - Deka, B., & Goulet, J. A. (2023). Approximate Gaussian variance inference for state-space models. International Journal of Adaptive Control and Signal Processing, 29 pages.
  - Hamida, Z., & Goulet, J. A. (2023). Hierarchical reinforcement learning for transportation infrastructure maintenance planning. Reliability Engineering & System Safety, 235, 109214 (12 pages).
- 2022
  - 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.
  - 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.
  - 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).
  - 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.
  - 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.
- 2021
  - 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.
  - 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).
  - 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.
- 2020
  - 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.
- 2019
  - 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.
  - 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.
  - 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).
- 2018
  - 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.
  - 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.
  - 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.
  - Nguyen, L. H., & Goulet, J. A. (2018). Structural health monitoring with dependence on non-harmonic periodic hidden covariates. Engineering Structures, 166, 187-194.
- 2017
  - 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.
  - Goulet, J. A. (2017). Bayesian dynamic linear models for structural health monitoring. Structural Control and Health Monitoring, 24(12), e2035.
  - 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.
- 2016
  - 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.
- 2015
  - 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.
  - 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.
- 2014
  - 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.
  - 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.
  - 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.
- 2013
  - 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.
  - 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.
  - 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.
  - 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.
  - Goulet, J. A., & Smith, I. F.C. (2013). Structural identification with systematic errors and unknown uncertainty dependencies. Computers & Structures, 128, 251-258.
- 2010
  - Goulet, J. A., Kripakaran, P., & Smith, I. F. C. (2010). Multimodel structural performance monitoring. Journal of Structural Engineering, 136(10), 1309-1318.
Communications de conférence (25)
- 2024
  - 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.
  - 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.
- 2023
  - 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).
  - 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).
  - 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).
  - 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.
  - 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).
- 2022
  - 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.
  - 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.
  - 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.
  - 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.
- 2013
  - 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.
  - 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.
  - 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.
- 2012
  - 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.
  - 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.
- 2011
  - 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.
  - 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.
  - 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.
  - 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.
- 2010
  - Goulet, J. A., & Smith, I. F. C. (septembre 2010). CMS4SI structural identification approach for interpreting measurements [Communication écrite]. 34th IABSE Symposium, Venise, Italie.
  - 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.
- 2009
  - 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.
  - 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.
  - 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.
Chapitres de livre (1)
- 2013
  - 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).
Thèses (1)
- 2012
  - Goulet, J. A. (2012). Probabilistic model falsification for infrastructure diagnosis [Thèse de doctorat, École Polytechnique Fédérale de Lausanne].

Répertoire des expertises

Goulet, James Alexandre

Répertoire des expertises

Goulet, James Alexandre

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James Goulet (67)