| Making the most out of a hydrological model data set: Sensitivity analyses to open the model black‐box E Borgonovo, X Lu, E Plischke, O Rakovec, MC Hill Water Resources Research 53 (9), 7933-7950, 2017 | 70 | 2017 |
| Global sensitivity analysis in epidemiological modeling X Lu, E Borgonovo European journal of operational research 304 (1), 9-24, 2023 | 24 | 2023 |
| Faster Kriging: Facing High-Dimensional Simulators X Lu, A Rudi, E Borgonovo, L Rosasco Operations Research 68 (1), 233-249, 2020 | 20* | 2020 |
| A data-driven framework for identifying important components in complex systems X Lu, P Baraldi, E Zio Reliability Engineering & System Safety 204, 107197, 2020 | 11 | 2020 |
| Nonparametric estimation of probabilistic sensitivity measures I Antoniano-Villalobos, E Borgonovo, X Lu Statistics and Computing 30 (2), 447-467, 2020 | 11 | 2020 |
| Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors M Xu, P Baraldi, X Lu, E Zio IEEE Transactions on Intelligent Transportation Systems 23 (12), 23408-23421, 2022 | 7 | 2022 |
| Is time to intervention in the COVID-19 outbreak really important? A global sensitivity analysis approach E Borgonovo, X Lu arXiv preprint arXiv:2005.01833, 2020 | 7 | 2020 |
| Sensitivity analysis by differential importance measure for unsupervised fault diagnostics G Floreale, P Baraldi, X Lu, P Rossetti, E Zio Reliability Engineering & System Safety 243, 109846, 2024 | 2 | 2024 |
| Sensitivity-analysis-driven surrogate model for molten salt reactors control E Cervi, X Lu, A Cammi, F Di Maio, E Zio Journal of Nuclear Engineering 3 (4), 277-294, 2022 | 2 | 2022 |
| Fault detection based on optimal transport theory B Wang, P Baraldi, X Lu, E Zio 30th European Safety and Reliability Conference, ESREL 2020 and 15th …, 2020 | 2 | 2020 |
| Is Time to Intervention in the COVID-19 Outbreak Really Important? A Global Sensitivity Analysis Approach X Lu, E Borgonovo Available online at arXiv, 2005 | 2 | 2005 |
| Sensitivity analysis of pandemic models can support effective policy decisions E Borgonovo, X Lu, G Rabitti Journal of Computational and Graphical Statistics 32 (3), 767-768, 2023 | 1 | 2023 |
| Information Density in Decision Analysis G Hazen, E Borgonovo, X Lu Decision Analysis 20 (2), 89-108, 2023 | 1 | 2023 |
| Anomaly Detection for Industrial Systems using Generative Adversarial Networks M Xu, P Baraldi, X Lu, F Cannarile, E Zio Proceedings of the 4th International Conference on System Reliability and …, 2019 | 1 | 2019 |
| The Cohort Shapley value to measure fairness in financing small and medium enterprises in the UK X Lu, R Calabrese Finance Research Letters 58, 104542, 2023 | | 2023 |
| Sensitivity Analysis and Decision Trees for the Identification of the Causes of Pressure Oscillations in Oil&Gas Production Systems R Borghi, A Bianco, J Rizzo Cascio, L Cadei, M Montini, E Zio, P Baraldi, ... Abu Dhabi International Petroleum Exhibition and Conference, D031S103R003, 2019 | | 2019 |
| Data-driven identification of critical components in complex technical infrastructures using Bayesian additive regression trees X Lu Proceedings of the 29th European Safety and Reliability Conference (ESREL), 2019 | | 2019 |
| Bayesian estimation of probabilistic sensitivity measures I Antoniano-Villalobos, E Borgonovo, X Lu arXiv preprint arXiv:1907.09424, 2019 | | 2019 |
| Sensitivity Analysis and Machine Learning for Computationally Challenging Computer Codes X Lu Università Bocconi, 2019 | | 2019 |
Emanuele BorgonovoBocconi University, Department of Decision SciencesVerified email at unibocconi.it
