vidhyakamakshi

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Publications

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

Tags

  • AI in healthcare
  • computer vision
  • deep learning
  • explainability
  • machine learning
  • speech processing
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