Documents publiés en "2023"

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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. 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

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

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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

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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

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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

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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