Publications
CROZET M., DEMEYER S., LOURENÇO V., HERRANZ M. and BODEN S., “Analysis of the comparison of in situ measurements made on biological shielding of the BR3 nuclear reactor”, Journal of Radioanalytical and Nuclear Chemistry, 2022, 331, 2967–2982, DOI: 10.1007/s10967-022-08319-9.
CROZET M., DEMEYER S., LOURENÇO V. and RIVIER C., “New approaches for interlaboratory comparisons analysis using dark uncertainty applied to radioactive materials”, Talanta, 2022, 250, 123394, DOI: 10.1016/j.talanta.2022.123394.
MARMIN S., FILIPPONE M., "Deep Gaussian Processes for Calibration of Computer Models (with Discussion)." Bayesian Anal., 2022, 17, 4, 1301-1350, DOI: 10.1214/21-BA1293.
Communications
DEMEYER S., KRISTOFFERSEN S., LE PICHON A., FISCHER N. and LARSONNIER F., “Contribution to uncertainty evaluation associated with on-site infrasound monitoring systems”, EGU General Assembly 2022, Vienne, Autriche, 23–27 mai 2022.
MONCHOT P. ET AL. “Deep Learning based particle size estimation: application to agglomerated titanium dioxide particles measured by scanning electron microscopy”, GDR Intelligence Artificielle en Science des Matériaux (IAMAT), Paris, France, 30 mai – 1er juin 2022.
DEMEYER S., “Training course on measurement uncertainty and software quality for the Western Balkan Countries”, Sarajevo, Bosnie-Herzegovine, 6-7 juillet 2022.
MEZALI, Y., KHALEDI, M. I., COQUELIN, L., REGNIER R. and MARTIN J., “Design of a new measurable approach for the qualification of the behaviour of an autonomous vehicle”, 2022 European Control Conference (ECC), DOI: 10.23919/ECC55457.2022.9838060, Londres, Royaume-Uni, 12-15 juillet 2022.
DEMEYER S., LE SANT V., KOENEN A., FISCHER N., WAEYTENS J. and BOUCHIÉ R., “Bayesian uncertainty analysis of inversion model applied to thermal measurements”, Mathmet 2022, Paris, France, 2-4 novembre 2022.
MARMIN S., “Metrological, Characterisation of quantitative MRI in completely controlled conditions”, Mathmet 2022, Paris, France, 2-4 novembre 2022.
MARMIN S. and FILIPPONE M., “Bayesian Calibration of Computer codes with variational inference of Random feature expansions”, Mathmet 2022, Paris, France, 2-4 novembre 2022.
MONCHOT P., COQUELIN L., MARMIN S., PETIT S., LE PENNEC E. and FISCHER N., “Input uncertainty propagation through trained neural network”, Mathmet 2022, Paris, France, 2-4 novembre 2022.
DEMEYER S., “Metrology: Measurement and uncertainties”, Workshop Metrology for energy nanomaterials, Paris, France, 17 novembre 2022.
MARMIN S. and FILIPPONE M., Webinar dédié à l’article "Deep Gaussian Processes for Calibration of Computer Models", International Society of Bayesian Analysis, (Séminaire en ligne), 6 décembre 2022.