Delye, E., Boudin, M., Caterina, D., Debouny, T., Jonlet, B., Matagne, J.-L., Michel, H., Nascatti, A., Nguyen, F., Witvrouw, J., & Van Wersch, L. (05 October 2023). Nouvelles recherches autour des fouilles menées par le Cercle archéologique Hesbaye-Condroz sous la collégiale Saint-Georges-et-Sainte-Ode d’Amay (Liège, B.) [Poster presentation]. 43e JOURNÉES INTERNATIONALES D’ARCHÉOLOGIE MÉROVINGIENNE L’objet mérovingien De sa fabrication à sa (re-)découverte, Liège, Belgium. |
Michel, H. (2023). A new Bayesian framework for the interpretation of geophysical data [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/295666 |
Michel, H., Hermans, T., & Nguyen, F. (2023). Iterative Prior Resampling and rejection sampling to improve 1D geophysical imaging based on Bayesian Evidential Learning (BEL1D). Geophysical Journal International. doi:10.1093/gji/ggac372 |
Michel, H., Hermans, T., Kremer, T., & Nguyen, F. (October 2021). Application of BEL1D for sNMR data interpretation [Paper presentation]. 8th International Workshop on Magnetic Resonance, Strasbourg, France. |
Michel, H., Hermans, T., Nguyen, F., & Kremer, T. (September 2021). Improving the sNMR signal-to-noise ratio using cost-effective EM shielding [Poster presentation]. IAH2021, Bruxelles, Belgium. |
Michel, H., Nguyen, F., & Hermans, T. (September 2020). Bayseian Evidential Learning for 1D geological imaging from geophysical data [Paper presentation]. iEMSs 2020, Bruxelles, Belgium. |
Kremer, T., Müller-Petke, M., Michel, H., Dlugosch, R., Irons, T., Hermans, T., & Nguyen, F. (2020). Improving the accuracy of 1D surface nuclear magnetic resonance surveys using the multi-central-loop configuration. Journal of Applied Geophysics. doi:10.1016/j.jappgeo.2020.104042 |
Caterina, D., Isunza Manrique, I., Michel, H., Bobe, C., Lucas, H., Nguyen, F., & Van De Vijver, E. (06 May 2020). Evaluating the resource recovery potential of fly ash deposits using electrical and electromagnetic methods [Poster presentation]. EGU General Assembly 2020. doi:10.5194/egusphere-egu2020-17610 |
Michel, H., Nguyen, F., & Hermans, T. (06 May 2020). BEL1D: 1D imaging using geophysical data in the framework of Bayesian Evidential Learning [Paper presentation]. EGU General Assembly 2020. doi:10.5194/egusphere-egu2020-9190 |
Michel, H., Nguyen, F., Kremer, T., Elen, A., & Hermans, T. (May 2020). 1D geological imaging of the subsurface from geophysical data with Bayesian Evidential Learning. Computers and Geosciences, 138. doi:10.1016/j.cageo.2020.104456 |
Michel, H., HERMANS, T., & Nguyen, F. (2020). Improving BEL1D accuracy for geophysical imaging of the subsurface. In O. Nedorub & B. Swinfrod, SEG TEchnical Program Expanded Abstracts 2020. Society of Exploration Geophysicists. |
Michel, H., Hermans, T., & Nguyen, F. (September 2019). Uncertainty quantification of the subsurface water content through BEL1D interpretation of SNMR data [Poster presentation]. Groundwater Quality 2019, Liège, Belgium. |
Michel, H., Hermans, T., & Nguyen, F. (11 April 2019). 1D geological modeling of the subsurface from geophysical data with Bayesian Evidential Learning [Poster presentation]. EGU General Assembly 2019. |
Michel, H., Nguyen, F., & Hermans, T. (2019). Improving Bayesian Evidential Learning 1D imaging (BEL1D) accuracy through iterative prior resampling [Poster presentation]. AGU Fall Meeting 2019. |
Kremer, T., Michel, H., Muller-Petke, M., Irons, T., Hermans, T., Duglosch, R., & Nguyen, F. (March 2018). Improving the accuracy of 1D SNMR surveys using the multi-central-loop configuration [Poster presentation]. SAGEEP 2018, Nashville, United States. |