- ORCID iD
- 0000-0003-1326-6011
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A multidimensional AI-trained correction to the 1D approximate model for Airborne TDEM sensing
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- Journal Article
- A1
- open access
Assessing and improving the robustness of Bayesian evidential learning in one dimension for inverting time-domain electromagnetic data : introducing a new threshold procedure
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Assessing quantitatively interpretable zones from 1D forward modelling AEM inversion models.
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- Conference Paper
- C3
- open access
Analyzing the ability of BEL1D for inverting TEM data
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- Conference Paper
- C3
- open access
Machine learning assisted fast forward 3D modelling for time-domain electromagnetic induction data : lessons from a simplified case
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- Journal Article
- A1
- open access
Flexible quasi-2D inversion of time-domain AEM data, using a wavelet-based complexity measure
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Assessing quantitatively interpretable zones from 1D forward modelling AEM inversion models
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- Journal Article
- A1
- open access
Novel airborne EM image appraisal tool for imperfect forward modeling
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- Conference Paper
- C3
- open access
Multidimensional forward modelling of EM induction data within a salinization context : is it worth the extra cost?
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- Journal Article
- A1
- open access
Källén–Lehmann spectral representation of the scalar SU(2) glueball