Publications

DEMEYER S., FISCHER N., and ELSTER C., “Guidance on Bayesian uncertainty evaluation for a class of GUM measurement models”, Metrologia, 2021, 58, DOI: 10.1088/1681-7575/abb065.

DEMEYER S., LE SANT V., KOENEN A., FISCHER N., WAEYTENS J. and BOUCHIÉ R., “Bayesian uncertainty analysis of inversion models applied to the inference of thermal properties of walls”, Energy & Buildings, 2021, 249, 111188, DOI: 10.1016/j.enbuild.2021.111188.

MONCHOT P., COQUELIN L., GUERROUDJ K., FELTIN N., DELVALLÉE A., CROUZIER L and FISCHER N., “Deep learning based instance segmentation of Titanium dioxide particles in the form of agglomerates in scanning electron microscopy”, Nanomaterials, 2021, 11, 4, 968, DOI: 10.3390/nano11040968.

PENDRILL L., ALLARD A., FISCHER N., HARRIS P.M., NGUYEN J. and SMITH I.M., “Software to maximize end-user uptake of conformity assessment”, NCSLI International Measure, 2021, 13, 1, DOI: 10.51843/measure.13.1.6.

SOUSA J. A., BATISTA E., DEMEYER S., FISCHER N., PELLEGRINO O., RIBEIRO A.S. and MARTINS L. L., Uncertainty calculation methodologies in microflow measurements: comparison of GUM, GUM-S1 and Bayesian approach, Measurement, 2021, 181, 109589, DOI: 10.1016/j.measurement.2021.109589.

STROH R., BECT J., DEMEYER S., FISCHER N., MARQUIS D. and VAZQUEZ E., “Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction”, Technometrics, 2021, 64, 2, DOI: 10.1080/00401706.2021.1935324.

Communications

DEMEYER S., “Bayesian method”, Training course on measurement uncertainty evaluation for the Western Balkan Courntries, EMUe project, Sarajevo, Bosnie-Herzégovine, Online course, 22-23 March 2021.

FISCHER N., “Software for measurement uncertainty evaluation”, Training course on measurement uncertainty evaluation for the Western Balkan Courntries, EMUe project, Sarajevo, Bosnie-Herzégovine, Online course, 22-23 March 2021.

MONCHOT P., “Deep Learning based instance segmentation: application to agglomerated titanium dioxide particles measured by scanning electron”, Joint Workshop of ENBIS and MATHMET - Mathematical and Statistical Methods for Metrology (MSMM 2021), Italy, Online worshop, 31 May 2021 - 1 June 2021.

DEMEYER S., “Bayesian uncertainty analysis to estimate thermal properties of Walls from Indirect Measurements”, Twenty-First Symposium On Thermophysical Properties, Boulder, USA, 20-25 June 2021.

COQUELIN L., “Mathematical modeling and algorithms for the aggregation of data from industrial sensor networks”, EURAMET+EUROLAB Workshop on Europe’s digital measurement evolution, Serie of 3 online sessions, 23-24 & 29 September 2021.

DEMEYER S., “Interlaboratory comparison on real concretes statistical analysis”, INSIDER Final Workshop, Avignon, France, 16-17 Sept. 2021.

YARDIN C., “Use the straight-line calibration function in a Bayesian context”, 20e Congrès international de métrologie (CIM 2021), Lyon, France, 7-9 sept. 2021.

YARDIN C., “Procedure to estimate and use a calibration function”, 20e Congrès international de métrologie (CIM 2021), Lyon, France, 7-9 sept. 2021.

DEMEYER S., “Comparisons on concretes within the INSIDER project”, Séminaire 60 ans de la CETAMA, Nîmes, France, 19-21 octobre 2021.

FISCHER N., « Deep Learning : le défi de l’incertitude », Forum Evaluation de l’Intelligence Artificielle, Paris, France, 24 novembre 2021.

MARMIN S., « CAsoft pour l’évaluation de conformité », Journée technique du CFM - Déclaration de conformité : gestion du risque et capabilité du processus de mesure, Paris, France, 2-3 décembre 2021.