20 citations as recorded by crossref.

1. Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding D. Azzimonti et al. https://doi.org/10.1080/00401706.2018.1562987
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3. Development of an inverse method for coastal risk management D. Idier et al. https://doi.org/10.5194/nhess-13-999-2013
4. Analyzing pension fund mortality with Gaussian processes in a subpopulation framework E. de Melo et al. https://doi.org/10.1017/S1748499526100281
5. High-fidelity hurricane surge forecasting using emulation and sequential experiments M. Plumlee et al. https://doi.org/10.1214/20-AOAS1398
6. On the use of Bayesian networks as a meta-modelling approach to analyse uncertainties in slope stability analysis I. Chivatá Cárdenas https://doi.org/10.1080/17499518.2018.1498524
7. Gaussian process metamodeling of functional-input code for coastal flood hazard assessment J. Betancourt et al. https://doi.org/10.1016/j.ress.2020.106870
8. Coastal flood: a composite method for past events characterisation providing insights in past, present and future hazards—joining historical, statistical and modelling approaches D. Idier et al. https://doi.org/10.1007/s11069-020-03882-4
9. Casting light on forcing and breaching scenarios that lead to marine inundation: Combining numerical simulations with a random-forest classification approach J. Rohmer et al. https://doi.org/10.1016/j.envsoft.2018.03.003
10. The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes G. Dodet et al. https://doi.org/10.1007/s10712-019-09557-5
11. Vulnerability of sandy coasts to climate variability D. Idier et al. https://doi.org/10.3354/cr01153
12. Multioutput Gaussian processes with functional data: A study on coastal flood hazard assessment A. López-Lopera et al. https://doi.org/10.1016/j.ress.2021.108139
13. Deriving the 100-Year Total Water Level around the Coast of Corsica by Combining Trivariate Extreme Value Analysis and Coastal Hydrodynamic Models J. Louisor et al. https://doi.org/10.3390/jmse9121347
14. Improved efficient physics-based computational modeling of regional wave-driven coastal flooding for reef-lined coastlines C. Gaido-Lasserre et al. https://doi.org/10.1016/j.ocemod.2024.102358
15. Tracking the critical offshore conditions leading to inundation via active learning of full-process based models R. Jeremy et al. https://doi.org/10.1051/e3sconf/20160704026
16. Ensuring numerical stability of wave propagation by tuning model parameters using genetic algorithms and response surface methods R. Rota Roselli et al. https://doi.org/10.1016/j.envsoft.2018.02.003
17. Coastal Flood at Gâvres (Brittany, France): A Simulated Dataset to Support Risk Management and Metamodels Development D. Idier et al. https://doi.org/10.3390/jmse11071314
18. Targeted Reduction of p-Boxes in Risk Assessments With Mixed Aleatory and Epistemic Uncertainties J. Rohmer https://doi.org/10.1115/1.4050163
19. A Hybrid Framework for Rapidly Locating Transition Zones: A Comparison of Event‐ and Response‐Based Return Water Levels in the Suwannee River FL R. Jane et al. https://doi.org/10.1029/2022WR032481
20. A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques D. Idier et al. https://doi.org/10.3390/jmse9111191