Litcius/Paper detail

Interpretability of neural networks predictions using Accumulated Local Effects as a model-agnostic method

Tina Danesh, Rachid Ouaret, Pascal Floquet, Stéphane Negny

2022Computer-aided chemical engineering/Computer aided chemical engineering22 citationsDOI

Topics & Concepts

InterpretabilityArtificial neural networkComputer scienceMachine learningArtificial intelligenceFlexibility (engineering)MathematicsStatisticsFault Detection and Control SystemsNuclear Engineering Thermal-HydraulicsNeural Networks and Applications
Interpretability of neural networks predictions using Accumulated Local Effects as a model-agnostic method | Litcius