| A review on global sensitivity analysis methods B Iooss, P Lemaître Uncertainty management in simulation-optimization of complex systems …, 2015 | 1396 | 2015 |
| Uncertainty management in simulation-optimization of complex systems: algorithms and applications B Iooss, P Lemaître A review on global sensitivity analysis methods, 101-122, 2015 | 79 | 2015 |
| Density modification-based reliability sensitivity analysis P Lemaître, E Sergienko, A Arnaud, N Bousquet, F Gamboa, B Iooss Journal of Statistical Computation and Simulation 85 (6), 1200-1223, 2015 | 78 | 2015 |
| Prediction of disease progression in multiple sclerosis patients using deep learning analysis of MRI data A Tousignant, P Lemaître, D Precup, DL Arnold, T Arbel International conference on medical imaging with deep learning, 483-492, 2019 | 77 | 2019 |
| Sensitivity: global sensitivity analysis of model outputs G Pujol, B Iooss, A Janon, K Boumhaout, S Da Veiga, J Fruth, L Gilquin, ... R package version 1 (0), 2017 | 52 | 2017 |
| Sensitivity: Sensitivity Analysis. R package version 1.10. 1 G Pujol, B Iooss, A Janon, P Lemaitre, L Gilquin, L Le Gratiet, T Touati, ... | 36 | 2014 |
| Propagating uncertainty across cascaded medical imaging tasks for improved deep learning inference R Mehta, T Christinck, T Nair, A Bussy, S Premasiri, M Costantino, ... IEEE Transactions on Medical Imaging 41 (2), 360-373, 2021 | 27 | 2021 |
| Analyse de sensibilité en fiabilité des structures P Lemaître Université de Bordeaux, 2014 | 25 | 2014 |
| Application of deep learning models to improve ulcerative colitis endoscopic disease activity scoring under multiple scoring systems MF Byrne, R Panaccione, JE East, M Iacucci, N Parsa, R Kalapala, ... Journal of Crohn's and Colitis 17 (4), 463-471, 2023 | 20 | 2023 |
| Propagating uncertainty across cascaded medical imaging tasks for improved deep learning inference R Mehta, T Christinck, T Nair, P Lemaitre, D Arnold, T Arbel Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019 | 19 | 2019 |
| Improving pathological structure segmentation via transfer learning across diseases B Kaur, P Lemaître, R Mehta, NM Sepahvand, D Precup, D Arnold, ... Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 16 | 2019 |
| sensitivity: Sensitivity Analysis, 2014 G Pujol, B Iooss, A Janon, P Lemaitre, L Gilquin, LL Gratiet, T Touati, ... URL http://CRAN. R-project. org/package= sensitivity. R package version 1, 1, 0 | 13 | |
| Bombardier aftermarket demand forecast with machine learning P Dodin, J Xiao, Y Adulyasak, NE Alamdari, L Gauthier, P Grangier, ... INFORMS Journal on Applied Analytics 53 (6), 425-445, 2023 | 6 | 2023 |
| Prediction of Progression in Multiple Sclerosis Patients A Tousignant, P Lemaître, D Precup, D Arnold, T Arbel | 2 | 2018 |
| Reliability sensitivity analysis based on probability distribution perturbation with application to CO2 storage E Sergienko, P Lemaître, A Arnaud, D Busby, F Gamboa arXiv preprint arXiv:1304.0423, 2013 | 1 | 2013 |
| Sensitivity analysis in a structural reliability context; Analyse de sensibilite en fiabilite des structures P Lemaitre | | 2014 |
| Sensitivity analysis in a structural reliability context P Lemaitre Universite Bordeaux I, 2014 | | 2014 |
| Sensitivity analysis method for failure probability P Lemaıtre, E Sergienko, A Arnaud, N Bousquet, F Gamboa, B Iooss | | |
