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Code base of my Master's thesis.

Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions

A personal privacy assistant (PURE) helps its user make privacy decisions by recommending privacy labels (private or public) for given contents. PURE is unobtrusive, uncertainty-aware, and personalized.

In this repo, you can find how we implement PURE, Standard Neural Networks (SNN), and existing models such as Monte Carlo (MC) dropout and Deep Ensemble.

Project by Tingting Zhang and supervised by Michael Behrisch.

Using Graph Embeddings for Matrix Reordering

A 2k parallel kernel for the cluster editing problem

For the up-to-date version see https://github.com/MarcelRobeer/explabox-demo-drugreview

Scrapes Google Images for Kinetikids data Based on https://github.com/ohyicong/Google-Image-Scraper.git

Bachelor Thesis Marte Voorneveld. On the changes in the atlantic meridonal overturning currents.