129 citations · 497 across the 43 of their papers we have counts for
45 papers
Hoeffding decomposition of black-box models with dependent inputs
Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2
Performing an additive decomposition of arbitrary functions of random elements is paramount for global sensitivity analysis and, therefore, the interpretation of black-box models.…
Shapley effects and proportional marginal effects for global sensitivity analysis: application to computed tomography scan organ dose estimation
Anais Foucault, Marouane Il Idrissi, Bertrand Iooss +1
Concerns have been raised about possible cancer risks after exposure to computed tomography (CT) scans in childhood. The health effects of ionizing radiation are then estimated fro…
A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation
Martin Wieskotten, Marielle Crozet, Bertrand Iooss +2
In decommissioning projects of nuclear facilities, the radiological characterisation step aims to estimate the quantity and spatial distribution of different radionuclides. To carr…
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng, Cesar Quilodran-Casas, Said Ouala +14
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical a…
On the coalitional decomposition of parameters of interest
Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2
Understanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attri…
Proportional marginal effects for global sensitivity analysis
Margot Herin, Marouane Il Idrissi, Vincent Chabridon +1
Performing (variance-based) global sensitivity analysis (GSA) with dependent inputs has recently benefited from cooperative game theory concepts.By using this theory, despite the p…