Documents publiés en "2026"

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Nagasingha, L. M. (2026). Probabilistic Machine Learning for Mineral Prospectivity Modelling: Applications to Magmatic Nickel Sulphide Systems in Canada [Thèse de doctorat, Polytechnique Montréal]. Disponible

Nagasingha, L. M., Bérubé, C. L., & Ghanati, R. (2026). Tractable approximate Gaussian inference for interpretable mineral prospectivity modelling. Applied Computing and Geosciences, 29, 100332 (15 pages). Lien externe