Implementation or LRP and Object detection on Brain scans to detect Brain Tumor and Alzhimers
Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.
An explainability model that can be applied to BERT-based Turkish sentiment analysis models has been developed and its performance has been compared with model spesific Layer-wise relevance propogation expailanbility model of Hila Chefer.
In this project we trained personalized transformer models for news recommendation using adapters [similar to (IA)^3]. With layerwise relevancy propagation, we try to explain the recommendation to the user. Using a web interface and displaying word clouds, the user can be assigned to a “filter bubble”. This allows users to reflect on their behavior
M-Pox detection using deep learning models and eXplainable AI
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