| A Python surrogate modeling framework with derivatives MA Bouhlel, JT Hwang, N Bartoli, R Lafage, J Morlier, JRRA Martins Advances in Engineering Software 135, 102662, 2019 | 413 | 2019 |
| Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction MA Bouhlel, N Bartoli, A Otsmane, J Morlier Structural and Multidisciplinary Optimization 53, 935-952, 2016 | 283 | 2016 |
| Gradient-enhanced kriging for high-dimensional problems MA Bouhlel, J Martins R.R.A. Engineering with Computers, 2018 | 170 | 2018 |
| Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method MA Bouhlel, N Bartoli, RG Regis, A Otsmane, J Morlier Engineering Optimization, 1-16, 2018 | 154* | 2018 |
| Data-based approach for fast airfoil analysis and optimization J Li, MA Bouhlel, JRRA Martins AIAA Journal 57 (2), 581-596, 2019 | 140 | 2019 |
| Scalable gradient–enhanced artificial neural networks for airfoil shape design in the subsonic and transonic regimes MA Bouhlel, S He, JRRA Martins Structural and Multidisciplinary Optimization 61 (4), 1363-1376, 2020 | 91 | 2020 |
| An Improved Approach for Estimating the Hyperparameters of the Kriging Model for High‐Dimensional Problems through the Partial Least Squares Method MA Bouhlel, N Bartoli, A Otsmane, J Morlier Mathematical Problems in Engineering 2016 (1), 6723410, 2016 | 80 | 2016 |
| Multi-fidelity efficient global optimization: Methodology and application to airfoil shape design M Meliani, N Bartoli, T Lefebvre, MA Bouhlel, JRRA Martins, J Morlier AIAA aviation 2019 forum, 3236, 2019 | 53 | 2019 |
| An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization N Bartoli, T Lefebvre, S Dubreuil, R Olivanti, N Bons, JRRA Martins, ... 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 4433, 2017 | 50 | 2017 |
| Improvement of efficient global optimization with application to aircraft wing design N Bartoli, MA Bouhlel, I Kurek, R Lafage, T Lefebvre, J Morlier, R Priem, ... 17th AIAA/ISSMO Multidisciplinary analysis and optimization conference, 4001, 2016 | 22 | 2016 |
| Improvement of efficient global optimization with mixture of experts: methodology developments and preliminary results in aircraft wing design N Bartoli, I Kurek, R Lafage, T Lefebvre, R Priem, MA Bouhlel, J Morlier, ... 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2016 | 16 | 2016 |
| Induction of AML cell differentiation using HOXA9/DNA binding inhibitors as a potential therapeutic option for HOXA9‐dependent AML M Lambert, S Jambon, MA Bouhlel, S Depauw, J Vrevin, S Blanck, ... HemaSphere 8 (5), e77, 2024 | 6 | 2024 |
| Un siècle de journaux en Guinée: histoire de la presse écrite de la période coloniale à nos jours MD Diallo Université Toulouse le Mirail-Toulouse II, 2013 | 4* | 2013 |
| High dimensional efficient global optimization via multi-fidelity surrogate modeling MM Meliani, N Bartoli, PJ Morlier, MA Bouhlel, PJR Martins Master’s thesis, ISAE-SUPAERO, 2018 | 2 | 2018 |
| Kriging combining partial least squares for optimization in high dimension M Bouhlel, N Bartoli, J Morlier, A Ostmane EngOpt 2014, 4th International Conference on Engineering Optimization …, 2014 | 2 | 2014 |
| Surrogate models for optimization in high dimension using a mixed PLS/Kriging method M Bouhlel, N Bartoli, J Morlier, A Ostmane opti2014, 1st International Conference on Engineering and Applied Sciences …, 2014 | 2 | 2014 |
| Self-adaptive optimization of multidisciplinary analysis environment via Kriging models combined with the PLS method MA Bouhlel HAL 2016, 2016 | | 2016 |
| Surrogate models for optimization in high dimension using a mixed Kriging/PLS method M Bouhlel, N Bartoli, J Morlier, A Otsmane 8th international Conference on Partial Least Squares and Related Methods …, 2014 | | 2014 |
| Research Article An Improved Approach for Estimating the Hyperparameters of the Kriging Model for High-Dimensional Problems through the Partial Least Squares Method MA Bouhlel, N Bartoli, A Otsmane, J Morlier | | |
