3 citations · 6 across the 7 of their papers we have counts for
3 papers · 1 filter
Cross-table Synthetic Tabular Data Detection
G. Charbel N. Kindji, Lina Maria Rojas-Barahona, Elisa Fromont +1
Detecting synthetic tabular data is essential to prevent the distribution of false or manipulated datasets that could compromise data-driven decision-making. This study explores wh…
Tabular Data Generation Models: An In-Depth Survey and Performance Benchmarks with Extensive Tuning
G. Charbel N. Kindji, Lina Maria Rojas-Barahona, Elisa Fromont +1
The ability to train generative models that produce realistic, safe and useful tabular data is essential for data privacy, imputation, oversampling, explainability or simulation. H…
Mitigating analytical variability in fMRI results with style transfer
Elodie Germani, Camille Maumet, Elisa Fromont
We propose a novel approach to improve the reproducibility of neuroimaging results by converting statistic maps across different functional MRI pipelines. We make the assumption th…