Explore projects

Project by Koray Poyaz and Irma Mastenbroek supervised by Michael Behrisch

BSc project by Casper Stiekema supervised by Michael Behrisch

Here are the code and data files placed which I used for the publication in JGR:oceans about the effect of freshwater pulses on estuarine salinity.

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.

This is a demo repository!

Project by Bram Dijkers and supervised by Michael Behrisch (05/22)

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

Creators: Floris Roos and Jos Zuijderwijk. Creating a classifier to choose the best modularity seeking algorithm on graphs.