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interpretability

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deep_classiflie

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…

  • Updated Aug 22, 2023
  • Python

Repository for the 'best student paper award' winning paper at the IEEE 35th International Symposium on Computer Based Medical Systems (CBMS 2022), Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography, Mahbub Ul Alam, Jón Rúnar Baldvinsson and Yuxia Wang. https://doi.org/10.11…

  • Updated Nov 22, 2022
  • Python

Maximal Linkability metric to evaluate the linkability of (protected) biometric templates. Paper: "Measuring Linkability of Protected Biometric Templates using Maximal Leakage", IEEE-TIFS, 2023.

  • Updated Jan 31, 2024
  • Python

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