| New improvements in the use of dependence measures for sensitivity analysis and screening M De Lozzo, A Marrel Journal of Statistical Computation and Simulation 86 (15), 3038-3058, 2016 | 54 | 2016 |
| Comparison of polynomial chaos and Gaussian process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows PT Roy, N El Moçayd, S Ricci, JC Jouhaud, N Goutal, M De Lozzo, ... Stochastic environmental research and risk assessment 32, 1723-1741, 2018 | 41 | 2018 |
| Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators M De Lozzo, A Marrel Stochastic environmental research and risk assessment 31, 1437-1453, 2017 | 39 | 2017 |
| Advanced surrogate model and sensitivity analysis methods for sodium fast reactor accident assessment A Marrel, N Marie, M De Lozzo Reliability Engineering & System Safety 138, 232-241, 2015 | 30 | 2015 |
| Sensitivity analysis of spatial and/or temporal phenomena A Marrel, N Saint-Geours, M De Lozzo Handbook of Uncertainty Quantification, 1327-1357, 2017 | 27 | 2017 |
| Estimation of the derivative-based global sensitivity measures using a Gaussian process metamodel M De Lozzo, A Marrel SIAM/ASA Journal on Uncertainty Quantification 4 (1), 708-738, 2016 | 21 | 2016 |
| Multilevel Monte Carlo covariance estimation for the computation of Sobol'indices P Mycek, M De Lozzo SIAM/ASA Journal on Uncertainty Quantification 7 (4), 1323-1348, 2019 | 20 | 2019 |
| Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding S El Garroussi, S Ricci, M De Lozzo, N Goutal, D Lucor Stochastic Environmental Research and Risk Assessment 36 (3), 693-718, 2022 | 16 | 2022 |
| Substitution de modèle et approche multifidélité en expérimentation numérique M De Lozzo Journal de la Société Française de Statistique 156 (4), 21-55, 2015 | 10 | 2015 |
| Multilayer perceptron for the learning of spatio-temporal dynamics—application in thermal engineering M De Lozzo, P Klotz, B Laurent Engineering Applications of Artificial Intelligence 26 (10), 2270-2286, 2013 | 9 | 2013 |
| Quantifying forcing uncertainties in the hydrodynamics of the Gironde estuary V Laborie, S Ricci, M De Lozzo, N Goutal, Y Audouin, P Sergent Computational Geosciences 24, 181-202, 2020 | 5 | 2020 |
| Uncertainty quantification in a two-dimensional river hydraulic model S El Garroussi, M de Lozzo, S Ricci, D Lucor, N Goutal, C Goeury, ... International Conference on Uncertainty Quantification in Computational …, 2019 | 3 | 2019 |
| A data-driven scalable MDO problem to compare MDO formulations M De Lozzo, F Gallard, A Gazaix, M Abu-Zurayk, G Roge, G Fougeron, ... AIAA AVIATION 2021 FORUM, 3053, 2021 | 2 | 2021 |
| Uncertainty Quantification for the Gironde Estuary Hydrodynamics with TELEMAC2D V Laborie, N Goutal, S Ricci, M De Lozzo, P Sergent Advances in Hydroinformatics: SimHydro 2017-Choosing The Right Model in …, 2018 | 2 | 2018 |
| Multilevel Surrogate-based Control Variates MRE Amri, P Mycek, S Ricci, M De Lozzo arXiv preprint arXiv:2306.10800, 2023 | 1 | 2023 |
| Sensitivity analysis methodology to identify the critical material properties that affect the open hole strength of composites A Sasikumar, A Turon, IR Cózar, O Vallmajó, JC Casero, M De Lozzo, ... Journal of Composite Materials 57 (10), 1791-1805, 2023 | 1 | 2023 |
| Comparing Two Multidisciplinary Optimization Formulations of Trimmed Aircraft Subject to Industry-relevant Loads and Constraints M Abu-Zurayk, A Merle, C Ilic, JM Feldwisch, M Schulze, M De Lozzo, ... AIAA AVIATION 2021 FORUM, 3075, 2021 | 1 | 2021 |
| Assessing uncertainties in flood forecasts using a mixture of generalized polynomial chaos expansions S El Garroussi, S Ricci, M De Lozzo, N Goutal, D Lucor 2020 TELEMAC-MASCARET User Conference, 2020 | 1 | 2020 |
| Uncertainty propagation for reliability analysis: application to sodium fast reactor safety studies A Marrel, N Marie, M De Lozzo 1st International Conference on Uncertainty Quantification in Computational …, 2015 | 1 | 2015 |
| Surrogate modeling and multifidelity approach in computer experimentation M De Lozzo JOURNAL OF THE SFDS 156 (4), 21-55, 2015 | 1 | 2015 |
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