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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), p. 1-10.
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, p. 60-67.
Tabor, L. (2017). Modélisation probabiliste d'essais en laboratoire par processus gaussien avec peu de spécimens répliqués. (Masters thesis, École Polytechnique de Montréal).
