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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
ANR HOUSES
About me
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Posts
Welcome to Yacine Idir (ARMINES)!
Published:
18-Month Post-doc in WP2 Bayesian Geostatistics
Workshop explicability and management of geographical and spatial information - Arras (17&18 June 2024)
Published:
Event organised in common with MSCA (Marie Sklodowska-Curie Actions)-SE (Staff Exchanges) STARWARS, ANR Croquis (ANR-21-CE23-0004) & Houses (ANR-22-CE56-0006-01) More information at: https://sites.google.com/view/ech-2024/exch-2024
Benchmark meeting
Published:
The technical meeting on benchmark is scheduled December, 14th 2023
Welcome Priscillia Labourg
Published:
Priscillia Labourg (CNRS, UTC) starts here phd on WP3: “Uncertainties and imprecision in Spatial Interpolations for Urban Risk Mapping”
Kick-off meeting
Published:
The project kick-off is scheduled April, 3rd 2023
portfolio
Job offer : PhD Thesis (2023-2026)
Uncertainties and imprecision in Spatial Interpolations for Urban Risk Mapping
Download here
Benchmark Sparse Imprecise Clustered data
Overview of representative challenges for spatial interpolation
Portfolio item number 2
Short description of portfolio item number 2 
publications
Literature review
Published in Journal of Geochemical Exploration, 2023
A literature review of methods used to establish urban soil geochemical background
Recommended citation: Belbèze, S., Rohmer, J., Négrel, P., Guyonnet, D. (2023). Defining urban soil geochemical backgrounds: A review for application to the French context; Journal of Geochemical Exploration. 254, 107298. https://www.sciencedirect.com/science/article/abs/pii/S0375674223001450
group-SHAP uncertainty
Published in SOIL, 2024
Insights into the prediction uncertainty of machine-learning-based digital soil mapping through a local attribution approach
Recommended citation: Rohmer, J., Belbeze, S., and Guyonnet, D.: Insights into the prediction uncertainty of machine-learning-based digital soil mapping through a local attribution approach, SOIL, 10, 679–697, https://doi.org/10.5194/soil-10-679-2024, 2024. https://soil.copernicus.org/articles/10/679/2024/
talks
Introduction Talk at ANR
Published:
Introduction to ANR-HOUSES presented at the ANR H-16 “Interface between Mathematics, Environmental and Earth sciences” axis virtual meeting. Download presentation here
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Explicability in Machine learning for Geoscience processes
Published:
Introduction to problems related to explicability of Machine learning models for Geoscience processes presented at the GDR MADICS. Download presentation here
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Spatial prediction with spatially clustered data by combining residual kriging and instance-based transfer learning
Published:
Presentation on the benefits of transfer learning to overcome the limits of clustered data presented at the journees de la Geostatistique. See presentation here. Download abstract here.
Download here
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.