most citedVAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 7 cited

VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry

Cedric Schockaert, Vadim Macher, Alexander Schmitz

Machine learning applied to generate data-driven models are lacking of transparency leading the process engineer to lose confidence in relying on the model predictions to optimize…