Explore projects

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

Project by Tingting Zhang and supervised by Michael Behrisch.

Project by Oscar Alexander Kirschstein Schäfer

Project start: 12/2022 Supervised by Michael Behrisch and Yuncong Yu

Project by Koray Poyaz and Irma Mastenbroek supervised by Michael Behrisch

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.

(Very messy) codebase for my Master's thesis project on semi-supervised point cloud classification using label diffusion lidar segmentation

BSC project done by Joep Robben on "Deep learning steerable projections using a supervised modular neural network", Supervised by Michael Behrisch

Using Graph Embeddings for Matrix Reordering

Code base of my Master's thesis.