EBAnO – Explaining BlAck-box mOdels

EBAnO – Explaining BlAck-box mOdels

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EBAnO (Explaining BlAck-box mOdels) is a wide research project focused on the explanation of Deep Convolutional Artificial Intelligence (xAI) models.

Publications 

  • Ventura et al. (2018) – Black-box model explained through an assessment of its interpretable features.
  • Ventura et al. (2019) – What’s in the box? Explaining the black-box model through an evaluation of its interpretable features.