3 citations · 6 across the 15 of their papers we have counts for
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cs.AI2020★ 3 cited
Interpretable machine learning models: a physics-based view
Ion Matei, Johan de Kleer, Christoforos Somarakis +2
To understand changes in physical systems and facilitate decisions, explaining how model predictions are made is crucial. We use model-based interpretability, where models of physi…
eess.SP2020★ 2 cited
Hybrid modeling: Applications in real-time diagnosis
Ion Matei, Johan de Kleer, Alexander Feldman +2
Reduced-order models that accurately abstract high fidelity models and enable faster simulation is vital for real-time, model-based diagnosis applications. In this paper, we outlin…