50 citations · 91 across the 4 of their papers we have counts for
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stat.ML2023★ 40 cited
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem
Anass Akrim, Christian Gogu, Rob Vingerhoeds +1
With the increasing availability of data for Prognostics and Health Management (PHM), Deep Learning (DL) techniques are now the subject of considerable attention for this applicati…
stat.ML2020★ 1 cited
Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes
Morgane Menz, Sylvain Dubreuil, Jérôme Morio +3
Running a reliability analysis on engineering problems involving complex numerical models can be computationally very expensive, requiring advanced simulation methods to reduce the…