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Generative approaches to Shapley-based explanations

Team: ExplainableML

Program: Biomedical Engineering
Course: EN.580.438 Biomedical Data Design
Year: 2023

Project Description:

Our group leverages advances in generative learning to develop more statistically accurate, computationally feasible a posteriori Shapley-based explanations for medical computer vision tasks.

Project Photo:

Image dataset input to Black box neural network

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Student Team Members

Ishan Kalburge
Siyu Wang
Kuai Yu

Course Faculty

Adam Charles

Project Mentors, Sponsors, and Partners

Beepul Bharti