Articoli con mandati relativi all'accesso pubblico - Bertrand IoossUlteriori informazioni
Disponibili pubblicamente: 23
The future of sensitivity analysis: an essential discipline for systems modeling and policy support
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
Environmental Modelling & Software 137, 104954, 2021
Mandati: US National Science Foundation, US Department of Energy, Australian Research …
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ...
IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023
Mandati: National Natural Science Foundation of China, German Research Foundation, UK …
Application of the control variate technique to estimation of total sensitivity indices
S Kucherenko, B Delpuech, B Iooss, S Tarantola
Reliability Engineering & System Safety 134, 251-259, 2015
Mandati: UK Engineering and Physical Sciences Research Council
Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes
B Iooss, L Le Gratiet
Reliability Engineering & System Safety 187, 58-66, 2019
Mandati: Agence Nationale de la Recherche
Crossed-derivative based sensitivity measures for interaction screening
O Roustant, J Fruth, B Iooss, S Kuhnt
Mathematics and Computers in Simulation 105, 105-118, 2014
Mandati: German Research Foundation
Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation
A Marrel, B Iooss
Reliability Engineering & System Safety, 110094, 2024
Mandati: Agence Nationale de la Recherche
The icscream methodology: Identification of penalizing configurations in computer experiments using screening and metamodel—applications in thermal hydraulics
A Marrel, B Iooss, V Chabridon
Nuclear Science and Engineering 196 (3), 301-321, 2022
Mandati: US Department of Energy, Agence Nationale de la Recherche
Model predictivity assessment: incremental test-set selection and accuracy evaluation
E Fekhari, B Iooss, J Muré, L Pronzato, MJ Rendas
Convegno della Società Italiana di Statistica, 315-347, 2021
Mandati: Agence Nationale de la Recherche
Optimal Uncertainty Quantification of a risk measurement from a thermal-hydraulic code using Canonical Moments
J Stenger, F Gamboa, M Keller, B Iooss
International Journal for Uncertainty Quantification 10 (1), 2020
Mandati: Agence Nationale de la Recherche
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions
N Lüthen, O Roustant, F Gamboa, B Iooss, S Marelli, B Sudret
International Journal for Uncertainty Quantification 13 (6), 2023
Mandati: Swiss National Science Foundation, Agence Nationale de la Recherche
Parseval inequalities and lower bounds for variance-based sensitivity indices
O Roustant, F Gamboa, B Iooss
Mandati: Agence Nationale de la Recherche
A visual sensitivity analysis for parameter-augmented ensembles of curves
A Ribés, J Pouderoux, B Iooss
Journal of Verification, Validation and Uncertainty Quantification 4 (4), 041007, 2019
Mandati: US National Science Foundation
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
M Il Idrissi, N Bousquet, F Gamboa, B Iooss, JM Loubes
Electronic Journal of Statistics 18 (2), 2721-2770, 2024
Mandati: Agence Nationale de la Recherche
On the coalitional decomposition of parameters of interest
MI Idrissi, N Bousquet, F Gamboa, B Iooss, JM Loubes
Comptes Rendus. Mathématique 361 (G10), 1653-1662, 2023
Mandati: Agence Nationale de la Recherche
Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more reliable prediction
A Marrel, B Iooss
Mandati: Agence Nationale de la Recherche
Hoeffding decomposition of black-box models with dependent inputs
MI Idrissi, N Bousquet, F Gamboa, B Iooss, JM Loubes
Preprint, 2023
Mandati: Agence Nationale de la Recherche
Robust tuning of Robbins-Monro algorithm for quantile estimation-Application to wind-farm asset management
B Iooss, J Lonchampt
ESREL 2021, 2021
Mandati: Agence Nationale de la Recherche
Given-data probabilistic fatigue assessment for offshore wind turbines using Bayesian quadrature
E Fekhari, V Chabridon, J Muré, B Iooss
Data-Centric Engineering 5, e5, 2024
Mandati: European Commission, Agence Nationale de la Recherche
Efficient techniques for fast uncertainty propagation in an offshore wind turbine multi-physics simulation tool
E Fekhari, B Iooss, V Chabridon, J Muré
Trends in Renewable Energies Offshore, 837-846, 2022
Mandati: European Commission
Robust tuning of Robbins-Monro algorithm for quantile estimation in iterative uncertainty quantification
B Iooss
Mandati: Agence Nationale de la Recherche
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