Explore projects
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Extension of text_explainability for sensitivity testing (robustness & fairness).
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BSC project done by Joep Robben on "Deep learning steerable projections using a supervised modular neural network", Supervised by Michael Behrisch
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Project by Koray Poyaz and Irma Mastenbroek supervised by Michael Behrisch
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A generic explainability architecture for explaining text machine learning models.
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A tool used to interact and understand dimensionality reduced data. It can be used to generate, view and explain point clouds!
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2023-01 Project by Oscar Fickel and supervised by Peter Vangorp
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