Publications

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M
  2021.   MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.
E
  2021.  Evaluation of Saliency-based Explainability Method.
  2023.  Explainable Image Classification: The Journey So Far and the Road Ahead.
  2022.  Explainable Supervised Domain Adaptation.
M
  2021.  MACE: Model agnostic concept extractor for explaining image classification networks.
P
  2021.  PACE: Posthoc architecture-agnostic concept extractor for explaining cnns.
S
  2024.  SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics.